Creating Safety in an Emergency Department by Garth Stephen Hunte B.Sc. (Hon), University of Calgary, 1986 M.D., University of Alberta, 1990 M.Sc., University of British Columbia, 2000 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF Doctor of Philosophy in THE FACULTY OF GRADUATE STUDIES (Health Care and Epidemiology) The University Of British Columbia (Vancouver) August 2010 c Garth Stephen Hunte, 2010 Abstract Hospital emergency departments (EDs) are complex, high-hazard socio- technical systems with distinction as sites of the highest proportion of pre- ventable patient harm. Patient safety is threatened by abbreviated and uneven care in an interrupted environment marked by uncertainty, multi- ple transitions over space and time, and mismatch between demand and resources. Recommendations for reporting systems, standardization, and ‘safety culture’ are at the forefront of local, national, and international strategies to improve patient safety. British Columbia is currently implementing a provincial electronic Patient Safety Learning System to enhance reporting and learning, and to facilitate a culture of safety. However, the concept of ‘safety culture’, while popular and political, remains problematic and the- oretically underspecified. Moreover, there is lack of clear evidence about how emergency care providers conceptualize, make sense of, and learn from patient safety incidents, and limited evidence to guide an effective safety learning strategy for providers and staff in a busy ED. ii In this multi-perspective, multi-method, practice-based ethnographic inquiry conducted at an inner city, tertiary care ED, I explore how ED prac- titioners and staff create safety in patient care in their everyday practice. In this context, ‘safety’ is an emergent phenomenon of collective joint action, enacted dialogically by multiple actors, within a resilient system imbued with multiple social, cultural and political meanings. I claim that patient safetywithin an ED (and likely in other health care settings) is most effectively created through dialogic storying, resilience, and phronesis. I present an alternative account to the dominant “medical error” and bureaucratic “measure and manage” discourse, and propose an approach to creating safety, including an open communicative space to facilitate sharing stories and learning about patient safety incidents, a safety ac- tion team charged with systems analysis and empowered to enact change, and an inter-professional simulation learning environment to enhance dia- logic sensemaking and innovation, that offers more to facilitate safety and resilience in everyday practice. I advocate for a pragmatic practice-based account of patient harm within an ongoing reflective conversation about safety and performance, and for foresight and resilience in anticipating and responding to the complexities of everyday emergency care. iii Table of Contents Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ii Table of Contents . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv List of Tables . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v List of Figures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vi Acknowledgments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . vii 1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 1.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 1.2 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 1.3 Motivation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 1.4 Rationale . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14 1.4.1 Practice . . . . . . . . . . . . . . . . . . . . . . . . . . . 15 1.4.2 Dialogic Storying . . . . . . . . . . . . . . . . . . . . . 15 1.4.3 Embodied and Embedded Cognition . . . . . . . . . . 18 1.4.4 The “New Look” Paradigm . . . . . . . . . . . . . . . 21 iv 1.4.5 Contemporary View of Accidents . . . . . . . . . . . . 23 1.4.6 Resilience . . . . . . . . . . . . . . . . . . . . . . . . . 24 1.5 Statement of Problem . . . . . . . . . . . . . . . . . . . . . . . 25 1.6 Statement of Purpose . . . . . . . . . . . . . . . . . . . . . . . 26 1.7 Aim . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 1.7.1 Specific Aims . . . . . . . . . . . . . . . . . . . . . . . 26 1.8 Organization of Thesis . . . . . . . . . . . . . . . . . . . . . . 27 2 Review of Literature . . . . . . . . . . . . . . . . . . . . . . . . . . 29 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 2.1.1 The Birth of Emergency Departments . . . . . . . . . 31 2.2 The Problem: Patient Harm . . . . . . . . . . . . . . . . . . . 34 2.2.1 The Tipping Point: To Err is Human . . . . . . . . . . . 35 2.2.2 Retrospective Chart Review . . . . . . . . . . . . . . . 37 2.2.3 Alternate Strategies . . . . . . . . . . . . . . . . . . . . 41 2.3 Patient Safety in Emergency Departments . . . . . . . . . . . 50 2.3.1 Vulnerabilities in Emergency Care . . . . . . . . . . . 52 2.4 The Overarching Strategy: ‘Safety Culture’ . . . . . . . . . . 57 2.4.1 Safety Learning . . . . . . . . . . . . . . . . . . . . . . 66 2.4.2 The Patient Safety and Learning System . . . . . . . . 73 2.5 Making Sense of Safety . . . . . . . . . . . . . . . . . . . . . . 74 2.5.1 Accident Models . . . . . . . . . . . . . . . . . . . . . 75 2.5.2 Complexity . . . . . . . . . . . . . . . . . . . . . . . . 76 v 2.5.3 Resilience . . . . . . . . . . . . . . . . . . . . . . . . . 79 2.6 Paradigm of Inquiry . . . . . . . . . . . . . . . . . . . . . . . 85 2.7 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 92 3 Methodology . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 93 3.1 Setting . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 94 3.1.1 Gaining Access . . . . . . . . . . . . . . . . . . . . . . 95 3.1.2 Participants . . . . . . . . . . . . . . . . . . . . . . . . 96 3.1.3 Ethics . . . . . . . . . . . . . . . . . . . . . . . . . . . . 97 3.1.4 Timeline . . . . . . . . . . . . . . . . . . . . . . . . . . 98 3.1.5 Unit of Analysis . . . . . . . . . . . . . . . . . . . . . . 98 3.2 Methodology . . . . . . . . . . . . . . . . . . . . . . . . . . . . 99 3.2.1 Philosophical Assumptions and Values . . . . . . . . 99 3.3 Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102 3.3.1 Data Collection . . . . . . . . . . . . . . . . . . . . . . 102 3.3.2 Data Analysis . . . . . . . . . . . . . . . . . . . . . . . 103 3.4 Measurement or Assessment of Safety Climate/Culture . . . 104 3.5 ‘Questerviews’ . . . . . . . . . . . . . . . . . . . . . . . . . . . 105 3.5.1 Recruitment and Sampling . . . . . . . . . . . . . . . . 106 3.5.2 Ethics . . . . . . . . . . . . . . . . . . . . . . . . . . . . 107 3.5.3 Instrument . . . . . . . . . . . . . . . . . . . . . . . . . 107 3.5.4 Data Collection . . . . . . . . . . . . . . . . . . . . . . 108 3.5.5 Data Analysis . . . . . . . . . . . . . . . . . . . . . . . 111 vi 3.6 ‘Safety Culture’ Survey . . . . . . . . . . . . . . . . . . . . . . 112 3.6.1 Recruitment and Sampling . . . . . . . . . . . . . . . . 112 3.6.2 Instrument . . . . . . . . . . . . . . . . . . . . . . . . . 113 3.6.3 Data Collection . . . . . . . . . . . . . . . . . . . . . . 115 3.6.4 Data Analysis . . . . . . . . . . . . . . . . . . . . . . . 115 3.7 Focus Groups . . . . . . . . . . . . . . . . . . . . . . . . . . . 117 3.7.1 Recruitment and Sampling . . . . . . . . . . . . . . . . 118 3.7.2 Ethics . . . . . . . . . . . . . . . . . . . . . . . . . . . . 118 3.7.3 Data Collection . . . . . . . . . . . . . . . . . . . . . . 119 3.7.4 Format . . . . . . . . . . . . . . . . . . . . . . . . . . . 119 3.7.5 Data Analysis . . . . . . . . . . . . . . . . . . . . . . . 121 3.8 Observation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 121 3.8.1 Recruitment and Sampling . . . . . . . . . . . . . . . . 122 3.8.2 Ethics . . . . . . . . . . . . . . . . . . . . . . . . . . . . 123 3.8.3 Data Collection . . . . . . . . . . . . . . . . . . . . . . 124 3.8.4 Data Analysis . . . . . . . . . . . . . . . . . . . . . . . 125 3.9 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 129 4 Safety Measures . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130 4.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130 4.2 Patient ‘Safety Culture’ Surveys . . . . . . . . . . . . . . . . . 132 4.2.1 Patient Safety inHealthcare Organizations (Modified Stanford Instrument) Survey . . . . . . . . . . . . . . 132 vii 4.2.2 Hospital Survey on Patient Safety Culture . . . . . . . 155 4.2.3 Comparing Survey Findings . . . . . . . . . . . . . . . 168 5 Safety Matters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 172 5.1 ‘Questerviews’ and Group Interviews . . . . . . . . . . . . . 173 5.1.1 Overall Perceptions of Patient Safety . . . . . . . . . . 178 5.1.2 Leadership for Safety . . . . . . . . . . . . . . . . . . . 184 5.1.3 Reporting and Response . . . . . . . . . . . . . . . . . 188 5.1.4 Learning . . . . . . . . . . . . . . . . . . . . . . . . . . 200 5.1.5 Teamwork . . . . . . . . . . . . . . . . . . . . . . . . . 202 5.1.6 Comparisons . . . . . . . . . . . . . . . . . . . . . . . 215 5.1.7 Gaps in the Instrument . . . . . . . . . . . . . . . . . . 216 5.1.8 Reflective Changes . . . . . . . . . . . . . . . . . . . . 217 5.2 Narratives . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 218 5.2.1 Narrative: “Safety is . . . ” . . . . . . . . . . . . . . . . . 218 5.2.2 Narrative: “We Make It Happen” . . . . . . . . . . . . 231 5.2.3 Narrative: “Anyone, Anything, Anytime” . . . . . . . 237 6 Safety Means . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243 6.1 Dialogic Sensemaking . . . . . . . . . . . . . . . . . . . . . . 243 6.1.1 Participants . . . . . . . . . . . . . . . . . . . . . . . . 244 6.1.2 Setting . . . . . . . . . . . . . . . . . . . . . . . . . . . 244 6.1.3 Sample . . . . . . . . . . . . . . . . . . . . . . . . . . . 245 6.1.4 Communication Load . . . . . . . . . . . . . . . . . . 246 viii 6.1.5 Interruptions . . . . . . . . . . . . . . . . . . . . . . . . 249 6.1.6 Concurrent Communication . . . . . . . . . . . . . . . 251 6.1.7 Communication Channels . . . . . . . . . . . . . . . . 251 6.1.8 Purpose of Communication . . . . . . . . . . . . . . . 253 6.1.9 Interactions . . . . . . . . . . . . . . . . . . . . . . . . 258 6.1.10 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . 268 6.2 Resilience . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 269 6.2.1 Resonance . . . . . . . . . . . . . . . . . . . . . . . . . 273 6.2.2 Adaptive Capacity . . . . . . . . . . . . . . . . . . . . 276 6.2.3 Resilience Analysis . . . . . . . . . . . . . . . . . . . . 282 7 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 284 7.1 Principle: ‘Safety’ is Enacted Dialogically . . . . . . . . . . . 285 7.1.1 Collaboration . . . . . . . . . . . . . . . . . . . . . . . 285 7.1.2 Storying . . . . . . . . . . . . . . . . . . . . . . . . . . 287 7.2 Principle: ‘Safety’ is Resilience . . . . . . . . . . . . . . . . . . 291 7.2.1 Capacity . . . . . . . . . . . . . . . . . . . . . . . . . . 291 7.2.2 Reporting and Learning . . . . . . . . . . . . . . . . . 296 7.3 Principle: ‘Safety’ is Political . . . . . . . . . . . . . . . . . . . 305 7.3.1 Differentiation . . . . . . . . . . . . . . . . . . . . . . . 306 7.3.2 Values . . . . . . . . . . . . . . . . . . . . . . . . . . . 308 7.3.3 Power . . . . . . . . . . . . . . . . . . . . . . . . . . . . 309 7.4 Principle: ‘Safety’ is a ‘Phronetic’ Practice of Care . . . . . . . 311 ix 7.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 314 7.6 Limitations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 316 7.7 Implications . . . . . . . . . . . . . . . . . . . . . . . . . . . . 317 7.7.1 Theoretical . . . . . . . . . . . . . . . . . . . . . . . . . 317 7.7.2 Methodological . . . . . . . . . . . . . . . . . . . . . . 318 7.7.3 Operational . . . . . . . . . . . . . . . . . . . . . . . . 318 7.7.4 Policy . . . . . . . . . . . . . . . . . . . . . . . . . . . . 319 7.8 Recommendations . . . . . . . . . . . . . . . . . . . . . . . . . 320 7.9 Future Directions . . . . . . . . . . . . . . . . . . . . . . . . . 322 7.10 Future Research . . . . . . . . . . . . . . . . . . . . . . . . . . 324 7.11 Conclusion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325 7.12 Epilogue . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 326 Bibliography . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 330 A Instruments . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 394 B Ethics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 401 x List of Tables 2.1 Characteristics of an ED operating environment . . . . . . . 52 2.2 Summary of communication studies in an emergency de- partment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 56 2.3 Dimensions of patient safety . . . . . . . . . . . . . . . . . . . 63 3.1 Participants by organizational role . . . . . . . . . . . . . . . 97 3.2 Transcribed interview and observation time by study phase 103 3.3 ‘Questerview’ probes and follow-up questions . . . . . . . . 110 3.4 Focus group questions and probes . . . . . . . . . . . . . . . 121 4.1 Characteristics of survey participants — Modified Stanford Instrument . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 134 4.2 Proportion of response by dimensions, Modified Stanford Instrument . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 141 4.3 Proportion of positive responses by composite domains and staff categories . . . . . . . . . . . . . . . . . . . . . . . . . . . 148 4.4 Proportion of positive response by work area and safety di- mension . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 153 xi 4.5 Comparison of the proportion of positive response from the ED with ED responses from the Pan-Canadian Database . . . 155 4.6 Characteristics of survey participants—Hospital Survey on Patient Safety Culture . . . . . . . . . . . . . . . . . . . . . . . 157 4.7 Proportion of positive response by dimensions, Hospital Sur- vey on Patient Safety Culture . . . . . . . . . . . . . . . . . . 162 4.8 Comparison of the proportion of positive response by do- mains on the Hospital Survey on Patient Safety Culture be- tween the ED questerview sample and individual responses from EDs in the 2009 AHRQ database . . . . . . . . . . . . . 168 4.9 Comparable domains on the PSCHO and HSOPSC . . . . . . 169 5.1 Characteristics of ‘questerview’ participants. . . . . . . . . . 175 5.2 Characteristics of focus group participants. . . . . . . . . . . 175 6.1 Summary of observed communication . . . . . . . . . . . . . 247 6.2 Summary of communication load . . . . . . . . . . . . . . . . 248 6.3 Summary of interruptions, concurrent, and broken or de- layed communication . . . . . . . . . . . . . . . . . . . . . . . 250 6.4 Summary of channels used . . . . . . . . . . . . . . . . . . . . 254 6.5 Summary of purpose of communication . . . . . . . . . . . . 256 6.6 Proportion of interactions by time averaged over one hour . 264 xii 6.7 Average ED length of stay for admitted patients by program before and after implementation of the Over Capacity Pro- tocol. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 278 6.8 Average number of admitted patients held in the ED at mid- night by program before and after implementation of the Over Capacity Protocol. . . . . . . . . . . . . . . . . . . . . . 279 xiii List of Figures 3.1 Timeline . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 98 4.1 Performance improvement grid (Unit) by domain of theMod- ified Stanford Instrument, 2007 Version . . . . . . . . . . . . 145 4.2 Performance improvement grid by domains on the Hospital Survey on Patient Safety Culture . . . . . . . . . . . . . . . . 164 6.1 Observed interactions . . . . . . . . . . . . . . . . . . . . . . . 259 xiv Acknowledgments Although this dissertation carries my name, it could not have been com- pleted without the support of a number of people. Thus, my many thanks to the following: First, my committee. Sam Sheps, my supervisor, who stuck with me through two proposals and screening panels, introduced me to quester- views, and whose patience, unfailing encouragement, and thoughtful and timely feedback has eased my journey; Bill McKellin, who has stimulated my thinking about culture, intro- ducedme to practice theory, and encouragedme to pursue the observation phase which has strengthened my work; and Jeff Joyce, for his insights about safety, his clear thinking, thought- ful contributions and encouragement, and helpful summaries and sugges- tions. Second, the participants, my ED colleagueswho graciously sharedwith xv me their stories of practice, and their thoughts about safety in the depart- ment, and gave me permission to observe their work. Third, my physician colleagues, who not only supportedme financially as a researcher, but stepped in to cover my shifts when I needed time to write, and my research colleagues, Jeff Brubacher in particular, who has been my co-PI on several related grants. Fourth, the Canadian Medical Protective Association for funding this project, and for being patient for the findings. Fifth, research assistants who helped along the way: Meredith Griffiths for help during the questerviews and Lynsey Hamilton for help with the observation data. Sixth, the transcriptionists, under the supervision of Shelley Forrest of Bellevue Secretarial & Transcription. Finally, and foremost, to my family for their love, support and patience on this journey. Siobhan, my wife, who I met during the course of my studies and who has been my main distraction. She shouldered the lion’s share of the care of our two sons, Euan and Nolan, who were born during data collection, for which I am grateful. xvi To my mother-in-law, Mary Jane, for her interest, encouragement, and practical help, including proof reading. And to my own parents, Betty and Gordon, for their love; and my fa- ther, who died this spring, for stimulating me to be curious. xvii Out of this nettle, danger, we pluck this flower, safety Henry IV, part 1, act 2, scene 3 Shakespeare Chapter 1 Introduction “Remember that patient?”... (my heart sank, my pulse quick- ened, and I could feel the pit of my stomach turn) “The one that fell on the ski hill?” I remembered. I’d seen him a few days earlier on a busy Saturday night. He’d complained of feeling dizzy after falling. “What happened?” I ask. “He came back a few hours later seizing.” Ouch, I think, what did I miss? “He’s in the ICU now, vertebral artery dissection.” I felt my legs go weak. Ken1 was a young foreign student in his early 20’s, visit- ing from overseas. It was his first time snowboarding. He had fallen on the beginner slope, but had been able to get off the hill. He didn’t speak English. He had come with his friends and to- 1pseudonym 1 gether we pieced the story together through the language bar- rier. “What’s the problem?” “Trouble walking.” “Does he have a headache?” “No.” “Does his neck hurt?” “No.” “Did he get knocked out or lose consciousness?” “No.” “Has he vomited?” “No.” He was alert and oriented according to his friends, made sense to them, and was in no pain. His Glasgow Coma Score was a normal 15, and he appeared to demonstrate normal in- teractions with his friends. I examined him from head to toe looking for signs of injury or neurological dysfunction. His pupils were equal, he had no visible nystagmus, no scalp or cervical spine tenderness, and his active neck range of mo- tion was painless. His tympanic membranes were normal, and his hearing was intact. He had no signs of trauma above his clavicles. He had no lateralizing weakness, and his reflexes were symmetric. He displayed no pronator drift, and his rapid- alternating movement test, and heel to shin test were normal. He had no cerebellar signs. My examination was negative. I got him up to walk, but he held onto his friends. Hmm. Negative physical exam, yet unable to walk without support. I ordered a head computerized tomography (CT) scan. Almost two hours later I read it as normal (later reported by the radi- 2 ologist as “within normal limits”). I tested his gait again. He still felt unsteady, but no worse than earlier. I discussed his case with one of my more experienced colleagues. “Perhaps he has a vestibular concussion,” he said. I talked to his friends and told them the scan was normal. I suggested they take him home and bring him back the next day if his symptoms per- sisted. Even now, a decade later, I can see them walking down the hall. “Remember that patient”— three words that incite panic for any emer- gency physician. Seen in retrospect, my failure to diagnose his vertebral artery dissection contributed to a delay in diagnosis. If only I had con- sidered the possibility and arranged for an MR angiogram on a Saturday night, my counterfactual argument goes even now, then perhaps heparin could have been started to prevent the progression of his cerebellar infarct. There is, however, a “second story” . It is a story—my story— from “inside the tunnel”  of an environment fraught with hazards, pitfalls, and systemic vulnerabilities. It was a busy Saturday night. The waiting room was packed. I examined Ken on a stretcher. He looked well and in no distress. It took some time to get his story. He could not speak English, and the English his friends spoke and understood was limited. Vertigo symptoms are common following a mild head or whiplash injury, and it seemed likely that he had a minor head injury. I had examined him thoroughly. His fall did not involve a high energy mechanism. He had 3 been on the beginner slope and had fallen backwards. There had been no crash. He met no criteria for imaging [3–5]. However, in light of his ataxia and language barrier, I ordered a CT scan of his head. I was ruling out an intracranial bleed, perhaps a subdural hematoma, a much more common diagnosis, and not a vertebral artery dissection with cerebellar infarct, a rare diagnosis. I had seen patients with cerebellar strokes, my mother had one and could not get out of bed because of the vertigo and nausea. Ken did not have those symptoms, nor any other cerebellar signs. When the scan came back negative for fracture or bleed, I was reassured. I informally consulted a colleague, and together we thought it plausible that he had suffered a vestibular concussion. Although I was pressed to see other patients, I had not anchored on one diagnosis, nor had I rushed to judgment. My working diagnosis was based on probability. I had been careful, and had acted on what made sense. Hence, I was surprised by the outcome that followed the query . . . “remember that patient.” 1.1 Introduction This dissertation is about the safety of patient care in a hospital emer- gency department (ED). What follows is a multi-level ethnographic anal- ysis of the situated patterns of interaction between emergency healthcare providers, staff, and administrators that have a direct bearing on safe pa- tient care. In short, it is about creating safety. I go beyond the concepts and discourse of “medical error” [6–10], reliability, and quality [11–13], 4 and functional models of ‘safety climate’ as a proxy for ‘safety culture’ [14–16], to consider how my colleagues and I at a tertiary care, inner city, academic ED in Canada create safety for patients amidst the complexity of providing care. I present an account of our successes and failures within the “messy details”  in everyday practice, our patterns of interaction, and our conversations about patient safety. Safety (as action in practice) is constructed through stories [1, 18–25]. Hence, I think with stories  to explore how they help make sense of tragedy, how they account for practice , how they contribute to heal- ing and learning, and how they facilitate, and indeed are critical for orga- nizational change. I approach the problem of patient safety in EDs from the perspective of ‘practice’ within a socio-technical system. Here, I use ‘practice’ in the sense of the modus operandi of everyday human action to explore how safety is created in the in situ “mess” of normal ED opera- tions. Drawing on recent research in social theory, safety science, cogni- tive science, organizational science, and ethics, I look upon the delivery of care in an ED as an inherently dynamic and complex situated practice or “activity” , and emphasize the embodied and embedded nature of perception, and the “dialogic” nature of sense making [29, 30] as a key to safe practice. I suggest that safety is enacted in collective practice, and that ‘safety culture’ emerges in a reflective practice of care [26, 31–33] that fosters adaptive resilience and foresight [34, 35]. Hence, I claim that patient safety 5 within the operational setting of an ED (and likely in other health care settings) is most effectively created through dialogic storying, resilience, and phronesis2 [26, 31, 33–43]. In so doing, the main contribution of this research is to provide an alternative account to the dominant “medical er- ror”  and “measure and manage”  discourse. I do so to advocate for a pragmatic practice-based account of patient harm within an ongoing reflective conversation about safety, as well as for foresight and resilience in anticipating and responding to the complexities of everyday emergency care. 1.2 Background The present day healthcare system is complex and under stress, and per- haps nowhere more so than an ED . Hospital EDs are crowded, high- risk healthcare environments that pose a threat to patient safety [46–48]. EDs are brittle , and vulnerable to failure [50–55]. “Error” and “preventability”, however, are in the eye of the beholder [56–58]. Patient safety is threatened by abbreviated and uneven care in a dynamic, time pressured, and interrupted environment marked by high levels of uncertainty, multiple transitions over space and time, and mis- matches between demands and resources. Emergency care providers at- tend to multiple acutely ill or injured patients, and cope with high de- cision density and cognitive load, distractions and competing demands, 2The Aristotelian meta-virtue of practical thought, usually translated as “practical wisdom” 6 shift work and transitions, sleep deprivation and limited breaks . Time pressures create risk secondary to efficiency-thoroughness trade-offs . EDs attempt to maintain resilience in the face of coping with “anyone, anything, anytime” [60, 61], but routinely exhibit brittleness in adapting to make “safe space” . EDs have been referred to as “canaries in the mine shaft” of the healthcare system,3 and collectively described as “at the breaking point” . There have been few published ethnographic studies of EDs, and no ethnographic or fieldwork studies specifically directed at ‘safety culture’ in this setting.4 Several observational workplace studies, however, have been conducted looking specifically at communication [63–69], or tasks [70–72] in EDs, each of which are central aspects of ‘practice’ and, in turn, ‘safety culture’. This research points to the vulnerabilities of an ED that I have outlined above — time pressured, multiple transitions, interrupted communication, and competing demands. Thus, EDs require a robust ‘safety culture’ to mitigate and prevent pa- tient harm. Since safety emerges out of dynamic interactions embedded in shared practice , creating patient safety is something we do — every- day. Safety is a dynamic and distributed construct transmitted in stories and practice , and thus the stories we tell one another about patient 3Title of the Canadian Association of Emergency Physicians annual meeting in 2007 4A database search of Academic Search Complete, CINAHL, MEDLINE, PsycINFO, SocINDEX andGoogle Scholar with the terms “ethnographyOR fieldwork” AND “safety culture OR patient safety” AND “emergency department OR emergency room” 7 care (successful and unsuccessful) facilitate reflection, sensemaking, and learning [29, 73]. Narrative (story) sensemaking helps us understand each other’s way of viewing the world, and in turn co-creates a new story that has the power to transform . Safety learning must take into and be based on accounts of work-as-done to afford a dialogue for learning. Thus: I can only answer the question “What am I to do?” if I can answer the prior question “of what story or stories do I find myself a part?” [75, p. 216] Yet, there are obstacles that impede growth and maturation of our pa- tient ‘safety culture’. Storying and feedback about patient safety is primar- ily informal and local. Hierarchies, silos, and separate professional iden- tities, (physician, nurse, staff, or administrator) frustrate communication and collaboration, and thus form barriers to a functional multidisciplinary communicative space for system safety learning in our department. Likemany healthcare departments, organizations, and jurisdictions that are attempting to tackle the problem of patient harm [76–79], the province of British Columbia is implementing a province-wide, web-based safety event reporting system. The Patient Safety and Learning System (PSLS) is intended to support the reporting and analysis of patient safety events across the continuum of care, to facilitate system-wide learning from ex- perience, and to help create and nurture a culture of safety . 8 Yet, while the PSLS may hold promise in characterizing critical inci- dents, it alone can neither make safety happen, nor help create a ‘safety culture’. Moreover, the current structure and process of the PSLSmay limit rather than enhance safety learning. Patient safety is not about reporting. Rather, safety is about giving account and learning in practice from suc- cess and failure, and about enhancing anticipation and resilience to care processes moving to the edge of safe performance . Thus, threats and hazards are identified and given meaning through the giving of account in dialogue with a community of practice that remains sensitive to the possibility of failure . Learning from success as well as failure leads to greater understanding and foresight than learning from failure alone. Safety emerges out of everyday socio-technical interactions, anchored in human relationships based on trust, and “lives” in an ongoing conversa- tion that fosters adaptive resilience. Although reporting of patient safety events is conventionally consid- ered to be a component of an effective ‘safety culture’ , it is insufficient to foster a robust ‘safety culture’ at the unit level. Collection of safety “statistics” that have been stripped of context and emotional salience of- fers scant, if any useful information , and limits the voice and con- tribution of providers at the point of care. Investigation and analysis of safety event data will only nurture our local ‘safety culture’ if it helps us make sense of our work, and if there are resources for deep analysis and feedback, and political will to learn and enact change. 9 Patient safety requires system learning from patient harm and threats to safety. Based on the exemplar of the Aviation Safety Reporting System, reporting systems are suggested as a pivotal strategy to facilitate safety learning. The purported logic underlying the focus on reporting holds that incident reporting will provide the information necessary to prevent pa- tient harm, but reporting systems cannot account for meaningful learning that is situated in practice and co-created between practitioners and lead- ership. Under-reporting is significant and pervasive, and commonly at- tributed to fear of blame and retribution. Hence, a non-punitive response, or “just culture”, is promoted as a strategy to improve incident reporting on the belief that more data will promote safety learning. Moreover, the evidence that incident reporting systems contributemean- ingfully to system safety learning in healthcare is weak, and does not sup- port the logic that more incident data leads to more safety learning. On the contrary, major limitations to reporting are lack of feedback, lack of system learning [84–88], and significant “decontextualization” . Currently, system safety learning primarily occurs outside of incident reporting structures [89, 90]. Hence, the problem is less one of data ac- quisition (reporting), and more one of learning from the data available (analysis and information sharing). Fear of blame is replaced by empiri- cally grounded skepticism that incident reporting leads to any benefit. If reporting systems are to provide any benefit for system safety learning, at either the local or organizational level, it behooves proponents to ensure 10 a robust and sophisticated investigation and response. Reporting systems must support investigation and analysis of success and failure in practice in order to lead to successful safety action. Failure to do so will spiral skepticism into cynicism. In this account of a local ED, I seek to understand what we (admin- istrators, nurses, physicians, and staff) have in common with, and where we differ from, other high-hazard units within the organization, and in comparison to other EDs across North America. Why are we resilient and excel when we adapt and work together, but brittle and fail when we are rigid and inflexible? Why are our interactions based more on pro- fessional than departmental or organizational identities? I will demon- strate how our communication patterns leave limited room for dialogue and shared sensemaking, and why lacking an open communicative space to learn from each other, we have no systematic way of detecting the safety “gaps” in our operational environment. I compare our ‘safety culture’ and communication patterns with other EDs and show howwe are similar, yet unique. In general, while we must balance operational and patient care demands, our everyday conversations are more about efficiency and pro- duction than about safety. Accreditation organizations now require healthcare facilities to con- duct patient ‘safety culture’ surveys. I go beyond this method of “mea- suring” ‘safety culture’, and demonstrate the limitations of this approach. I propose an approach to creating a culture of safety that includes an open 11 communicative space to facilitate sharing stories and learning about pa- tient safety events, a safety action team charged with systems analysis and empowered to enact change, and a inter-professional simulation learning environment to enhance dialogic sensemaking and innovation. These in- terventions, more than a new reporting system, will help facilitate and build a robust ‘safety culture’ in an ED, and lead to improvements in safety and resilience in our everyday practice. I do not pretend to give a definitive account of patient safety in our ED. My account is presented so that it may provoke other accounts, and facilitate a critical dialogue on creating safe care for emergency patients. The relational values of dialogue and community are not offered as strict prescription, but as a plausible direction . I walk the “narrow ridge” [92, p. 55] not to provide a definitive answer, but to facilitate a needed and deeper conversation about our collective care for patients. 1.3 Motivation My motivation for this dissertation comes from my practice as an emer- gency physician. Ken’s story was a watershed moment. I hope that his story will be the most catastrophic “mistake” of my career, but I recognize my fallibility as an emergency physician, and our collective vulnerability as an ED. I was drawn to this area of research after a pre-publication presentation of the Canadian Adverse Events Study (CAES) . The CAES did not in- 12 clude EDs, so my initial question was about the burden of injury related to patient harm in this setting. Like many EDs, we were overcrowded and understaffed, andwere struggling to deliver care in hallways and thewait- ing room. On many days I would not see a single patient in a traditional nurse-staffed stretcher. Given the opportunity to present departmental Grand Rounds, I thought patient safety might be an interesting topic for discussion. Little did I think that it would turn into a dissertation. My original naive intent was to create a tool to count patient safety incidents. Recognizing the limitation of data-poor documentation on ED charts, I planned to explore the reporting and learning culture, and to con- struct and pilot a measurement tool. I submitted a proposal and applied for funding and ethics approval. As I waited, the context changed. In the summer of 2005, there was a cluster of patient deaths in the ED waiting room. This proved to be a tipping point for the department and the organization.5 For years, the ED leadership had been pressing hospital leadership about the overcrowded conditions, but their concerns had not led to any action to relieve “access block”.6 If the hospital was full, then the ED was forced to accommodate both admitted patients (stable) and incoming patients (unknown, poten- tially unstable). However, since senior leadership was present when the cluster of waiting rooms deaths was presented at monthly Morbidity and 5The emotional salience of these stories was profoundly disturbing for how the orga- nization perceived itself. 6Admitted patients are warehoused in the ED until a ward bed becomes available. 13 Mortality rounds, the conversation changed. Over the succeedingmonths, the ED leadership told and re-told those patient stories, and by the time I started interviews in February 2006, the region had implemented the Overcapacity Protocol.7 During the process of ‘questerviews’ using the Hospital Survey on Pa- tient Safety Culture (HSOPSC) , I became aware of the provincial ini- tiative to implement the Patient Safety and Learning System (formerly known as the Incident Reporting and Information System). Hence, it no longer made sense to create another tool. However, there was still a need to understand how the PSLS would work in the ED environment, and how it might improve upon the existing incident reporting system. In ad- dition, havingwitnessed the success of stories for learning and creating or- ganizational change, I revised my proposal and research strategy towards understanding interactions, dialogue, and community, thereby expanding my concept of ‘safety culture’ in order to move beyond simply reporting to get to the deeper dynamic of how safety is created as an emergent prop- erty of our work. 1.4 Rationale Recent observations from social theory, cognitive science, and safety sci- ence, advocate an alternate view to the Cartesian-Newtonian paradigm that predominates in the Western world. In this section I briefly review as- 7A system response when the ED has reached a threshold of admitted patients. 14 pects of the broad family of practice theories , interactional and contex- tual theories of sensemaking [29, 30], the embodied cognition thesis, and resilience engineering, and consider their implications for understanding patient safety in an ED. Central to these approaches is movement beyond the problematic dualisms of subject-object, structure-agency, and mind- body towards a more integrated perspective. 1.4.1 Practice Although there is no unified practice approach, most theorists conceive practices as embodied and materially mediated nexuses of human activity organized around shared practical understanding [94, p. 2]. Practices are collective understandings and actions sustained through the interaction and mutual adjustment among people engaged in a particular set of tasks . Moving beyond individualism and mentalism, practice theories con- verge with the recent embodied and embedded model of cognition, and highlight critical capacities such as tacit understanding, dispositions (habi- tus), know-how, and skills. Hence, practices are a nexus of routinized and integrated performances [96, 97] based on interaction. 1.4.2 Dialogic Storying Dialogic storytelling provides a theoretical approach to understanding in- teraction. Dialogic theories also include the perspective that human sense- making is action-based, interactional and contextual, and constituted in 15 interdependent relations with “the other” . Dialogism is a meta-theor- etical framework that regards interactions, activities and situations as pri- mary, wherein the basic constituents of discourse are interactions and semi- otic mediation (communication). Action, communication, and cognition are thoroughly relational (inter-relational) and interactive in nature, and must be understood in their relevant contexts. Contexts are marked by “double dialogicality”, that is, both within situated interactions and with sociocultural practices (culture). Hence, intersubjectivity8 is the defining property of communication . Understanding in situ is related to the ability to anticipate and respond. “Every word is directed towards an an- swer and cannot escape the profound influence of the answering word that it anticipates” [99, p. 280]. Perception of the environment is infusedwith emotive evaluations [100, 101], and value-laden. Meanings are generated in situated thinking and communication, and shaped by human projects and social commitments . Sensemaking is a dynamic undertaking that is linked to personal and group evaluation of context, and belongs to the “interworld” between individuals and their environment [30, 103]. However, since understand- ings are never complete, though often sufficient for practical purposes , miscommunication is often collectively and reciprocally generated. Human understanding is fundamentally based on narrative [105, 106], and meaning making is pragmatically attuned to social context. The com- 8The sharing of subjective states by two or more individuals 16 plexities of work and work relationships can be reflected in storying [74, 107] — particularly dialogic stories — which allow for nonlinear under- standings , and encompass multiple perspectives, tensions, and con- tradictions (alterity and ‘heteroglossia’) . Storytelling embodies our need for ontological sense-making and existential reassurance  and creates narrative coherence between howwe act and the accounts we give. Narrative reasoning seeks to understand in terms of human experience and purpose [73, 110]. Key aspects of stories include : 1. Stories are told from a perspective. 2. The act of storytelling is used by tellers and audience to make sense of experience. 3. Stories are both linear and non-linear. They convey multiple and complex tellings, depicting events as emerging from the interplay of actions, relationships and environments. Hence, they are suited to capture the complexity of work. 4. Stories are embedded or situated in context. Particular stories are nested within organizational meta-narratives. 5. Stories bridge gaps between formal and informal space. 6. Stories are action oriented, depicting what happened, thus shaping future action. 17 7. Stories embrace and depict the tension between routine and the novel. 8. Stories can be counterfactual or subjunctive, allowing for alternate visions. Bakhtin centred social life in the “utterance”. However, the utterance was not conceived as a communicative act of an autonomous individual; instead, Bakhtin’s notion was notably social. The utterance, to Bakhtin, exists at the boundary between two consciousnesses; it is a link in a chain, a link bounded by both preceding links and the links that follow [112, p. 94]. The concept of the chronotope, meaning “time-space” [99, p. 84], fea- tures centrally in Bakhtin’s dialogism theory and underscores Bakhtin’s position that social life is best understood locally and concretely. The im- plication of this concept is that contradictions are best understood in situ. 1.4.3 Embodied and Embedded Cognition Embodied understanding is rooted in the realization of the body as the meeting point between mind and action, and between individual and en- vironment . Developments in the field of cognitive science and the philosophy of mind present a challenge to the traditional positivist con- cept of the autonomous individual. Recent work has focused on the en- acted , embodied [100, 115], socially and culturally situated (embed- ded) [113, 116–120] and distributed (extended) [121, 122] nature of mind . 18 This view of cognition is based on four assumptions : cognition is for action; cognition is embodied in sensorimotor abilities and the environ- ment; cognition (adaptive action) is an emergent outcome of sensorimotor interaction between agent and task and environment; and cognition is dis- tributed spatially and temporally across (tools, people, and groups) social agents and the environment through artifacts (tools) and social relation- ships . Hence, knowledge as capacity for adaptive action within an environment, cannot be reduced to representations of behaviour or the en- vironment . The image of the autonomous individual, who chooses action based on reasoning about his or her own preferences, attitudes, be- liefs, and values, is a meta-theoretical assumption that is not supported by this body of empirical evidence. Social perceivers are driven by pragmatic concerns, striving for and generally attaining “good enough” accuracy to suit their everyday needs for adaptive action . Thus, use of shortcuts and heuristics are adap- tive [126, 127]. The situation/environment is both a recipient of action as well as an interactive supplier of constraints/enablements in a pro- cess of “continuous reciprocal causation” . Environments provide re- sources (supports, scaffolding) that can simplify or complicate an agent’s tasks. “Far from the Cartesian ideal of detached contemplation, real agents lean on the world. The world is its own best representation and its own best simulation” [italics in original 115, p. 63]. Hence, the theoretical focus must be on the interaction of agent and environment. This focus 19 denies simple (cause and effect) attributions of behaviour, especially goal- directed, adaptive behaviour, to “inner” characteristics of the agent [128, 129]. However, in Western culture, we typically choose to explain events in terms of people’s supposedly purposeful actions and traits rather than situational factors [130–132]. This tendency is a fundamental attribution error that contributes to a climate of “blame, shame, and train”. Convergence from practice theory, dialogic theory, and embodied cog- nition fundamentally reframes the conception of the individual practi- tioner and argues strongly for understanding norms and values, andwork- as-done in situ. Culture is a body of practices. We participate in and shape culture by all that we do. “This perspective places culture in its true role as one of the central constraints on situated and adaptive action” [124, p. 102]. Hence, adapting from Hutchins , the question of interest to pa- tients should not be whether a particular healthcare provider is perform- ing well, but whether or not the system that is composed of the healthcare providers and the technology of the ED environment is performing well. The computational model of human cognition suggests that we are equipped with primitive hardware and buggy software . Yet, “If we are so stupid, how did we get to the moon? ” We can resolve the discrepancy between evidence of individual psychological shortcomings and the empirical fact of moonwalks by observing that individuals did not make it to the moon, NASA as an organization did (just as NASA as an orga- nization created the Columbia and Challenger disasters ). Organiza- 20 tions discover ways to avoid or repair (or create) individual shortcomings through deliberative analysis (or ignoring small signals), trial and error learning (or rote), serendipitous accident (or dismissing critical events), or more commonly, through ad hoc intuitive rules (or rigid procedural con- structs) that emerge from day-to-day practice. Individuals face cognitive limitations and shortcomings, and organizations can provide (or not) in- dividuals with norms and procedures that may mitigate their limitations and reduce their shortcomings . This communal or community ideal offers a counter to traditional atomistic individualism, and lends itself to an understanding of clinical work as an embedded and distributed prac- tice. 1.4.4 The “New Look” Paradigm The foregoing discussion of practice, dialogic storying, and embedded cognition, illuminates the focus on interaction that lies at the heart of the “new look” paradigm of system safety. The “new look” paradigm [1, 10, 56, 137] emphasizes the role of system and environmental constraints on human-system interactions, and moves beyond individual “error” to ex- plore the situated actions of human actors within resource-limited systems as they create safety while pursuing the multiple competing goals of their everyday work . Human “error” in this paradigm is regarded as a symptom and not a cause. Failure is usually preceded by normal people doing normal work that makes sense given their situational constraints, 21 pressures and organizational norms (‘local rationality’) [56, 126, 127]. Fail- ure then, cannot be understood by focusing on where human actors went wrong, but rather by seeking to understand how their assessments and actions made sense at the time, given their surrounding hazards, trade- offs between multiple goals, and interactions [56, 137]. Helping people cope with complexity under pressure through resilience that has been “de- signed and trained into the technical and human components of the sys- tem so that “errors” can be more easily detected, more easily corrected when detected, and less harmful when undetected” likely offers the most promise for success [138, p. 335]. One of the basic principles of safety management is that factors associ- ated with “error” at the “sharp end”9 are the least manageable links in the causal chain because they are unintended and unpredictable. Safe perfor- mance and “error” are two sides of the same coin, and human fallibility can therefore only be moderated, not eliminated. Therefore, system struc- tures and processes should be designed tominimize the causes of “errors”, make it easier to undo actions or make it more difficult to do what cannot be undone, make it easier to discover and correct errors that do occur, and change attitudes to encourage admission and study of mistakes in order to permit improvement . Hence, the focus of the organizational “er- ror” model is placed on enhancing system and human performance in the 9The “sharp end” refers to the personnel or parts of the healthcare system that are in direct contact with patients 22 face of uncertainty and variability in order to reduce “errors” and adverse events. Systems design in safety-critical industries such as aviation, rail trans- portation, and nuclear power has been guided and informed by in-depth systematic analysis of the organizational influences and cognitive mecha- nisms underlying “error”. Studies of industries that maintain high levels of reliability and safety in the presence of risk from potentially disastrous events has identified specific organizational characteristics that contribute to “mindfulness”  including commitment to resilience, sensitivity to operations, deference to expertise, reluctance to simplify, and preoccupa- tion with failure . “High reliability organizations” demonstrate their commitment to excellence by actively seeking knowledge about what they do not know, communicating the picture to all levels of the organization, and designing reward systems that recognize both the costs of failures and the benefits of reliability [141, 142]. Rochlin  posits that a collective commitment to safety is an insti- tutionalized social construct. Stories and rituals transmit operational be- haviours, group culture and collective responsibility. The resulting “cul- ture of safety” is a dynamic, inter-subjectively constructed belief among actors in the potential for continued safety in carrying out their operations. The constructed narrative is one of organizational rather than individual performance. Rochlin  further argues that conventional approaches to safety culture do not capture the mythic and discursive dimensions of 23 operational safety, and he encourages further inquiry into safety as an ex- pression of agency as well as structure, and of interactions and ritual. 1.4.5 Contemporary View of Accidents The view of how accidents occur has undergone a series of shifts in the past century [144–146]. The view of accidents as the culmination of a simple linear, sequential, and largely technical (or mechanical) cause-and- effect chains of events , has been gradually replaced by a systemic view that understands accidents to result from a dynamic combination of human, technological and organizational factors that are each necessary, but only jointly sufficient [1, 142, 148, 149]. Unlike the historical view of accidents as a combination of technical or human failures, the systemic view of accidents does not focus on the failure of one or more components or barriers. Rather, it recognizes that confluences occur, and provides a plausible and broader explanation for why they happen. Accidents cannot be adequately explained in simplistic cause-and-effect terms, but instead are due to complex interactions and dynamic coincidences that result from the normal performance variability of a system [35, 144, 145]. 1.4.6 Resilience Safe practice is not simply a question of eliminating risk, for risk is inher- ent in everyday clinical work. Safety is a dynamic non-event [150–152], that emerges in the presence of a deep adaptive capacity to cope and sus- 24 tain operational performance in the face of threat. Resilience is the ability of a system to adapt, bounce back, or transform into a new state under conditions of stress.10 In this dissertation, I explore how healthcare providers create resilience and safety while coping with complexity in the everyday practice of emer- gencymedicine through amulti-method, multi-perspective, practice-based ethnographic inquiry. Seen through the lens of practice theory, and situ- ated in a dialogic ontology, “we” studied “us” . My unit of analysis is the ecology of our local-historical collective joint action, and my goal is to understand the dynamics that facilitate inclusive and transformational organizational change from within. 1.5 Statement of Problem Hospital EDs are complex, high-hazard socio-technical systems that have been tagged with the dubious distinction as sites of the highest propor- tion of “preventable” patient harm [50–55]. “Error” and “preventability”, however, are “in the eye of the beholder” [56–58]. Recommendations for “error” reporting systems, standardization, and ‘safety culture’ are at the forefront of local, national, and international strategies to improve patient safety, despite limited evidence for their effectiveness in reducing patient harm [86–88, 154]. The concept of ‘safety culture’ in particular, while pop- ular and political, remains problematic and theoretically underspecified 10Sailing close hauled in a dinghy on the chop of English Bay captures the dynamic. 25 [155–157]. The Patient Safety Learning System will soon be implemented in our ED, but there is a lack of clear evidence about how emergency care providers conceptualize, make sense of, and learn from patient safety in- cidents, and limited evidence to help guide an effective safety learning strategy for providers and staff in a busy ED. 1.6 Statement of Purpose Safety is a dynamic social construct transmitted in stories and rituals  about what is important in an organization and what attitudes and be- haviours related to safety are valued and normal. Hence, I invited a con- versation on safe patient care, and co-created these stories to explore and describe the culture of safety in our ED. An understanding of our ‘safety culture’ will provide a framework to enhance learning from patient safety events, help foster operational resilience and foresight, and inform adap- tation of the Patient Safety Learning System for use in the ED. 1.7 Aim The main aim of this research is to explore how safety is created in the everyday practice of health care delivery in a hospital ED, and to describe the situated and distributed patterns of interaction that impact safety. 1.7.1 Specific Aims Within this broad aim are four specific aims or objectives: 26 • To describe how safety emerges from the everyday practice of emer- gency care • To explore how emergency healthcare professionals make sense of and learn from patient safety events • To describe perceptions of safety and compare them to reflections on safety that emerge on deeper inquiry • To describe patterns of interaction in an ED in order to understand the organizational issues that affect patient safety 1.8 Organization of Thesis The central focus of this dissertation is the creation of patient safety in the operational setting of a hospital ED. The organization of the thesis is as follows: In this chapter I have introduced the problem of patient safety in emer- gency healthcare delivery, and presented the problem of ‘safety culture’ and reporting systems. I detailed my aim and objectives, and lay out my approach to address them. In Chapter 2 I review patient safety and emergency medicine, includ- ing the estimated burden of injury, known threats and hazards, and the limits and gaps in our knowledge. I review the concepts of safety and ‘safety culture’, and discuss reporting systems. I then review accident 27 models and the ‘new look’ safety paradigm, and present my practice- based theoretical embedding. Chapter 3 considers issues of data collection and analysis. I introduce the setting, and outline my assumptions and methodology. In particular, I discuss the ‘questerview’ strategy of using a semiotic stimulus in a facili- tated dialogue. Chapters 4 through 6 present the findings of my analysis. Chapter 4 looks at the ‘measurement’ of ‘safety culture’, comparing findings from the ‘safety culture’ surveys and the corresponding domains in the ‘quester- views’. Chapter 5 expands on the survey findings to include themes from the ‘questerview’ and focus group interviews that go beyond the domains of the survey instruments. In Chapter 6 I describe my observations of the ED as a complex adaptive system, focusing on patterns of interaction and communication to explicate the resilient/brittle character of the depart- ment. Chapter 7 presents my overall conclusions, putting them into context with related work. I summarize the findings and my premises, and point to safety as a ‘phronetic’ practice of care. Finally, implications, recommen- dations, and areas of future research are discussed. 28 Chapter 2 Review of Literature In this chapter, I review the problem of patient harm in hospital EDs and the overarching strategy proposed to address the problem — ‘safety cul- ture’. I adopt an ecological focus, include the concepts of adaptive capac- ity and resilience, and groundmy argument in theory on situated learning and practice. The chapter is organized into five main sections. First, I begin with a brief historical overview. I then summarize what is known about the burden of iatrogenic injury in EDs from population based retrospective chart review studies, and compare estimates of in- jury with findings from other strategies, including closed claims, death reviews, active solicitation, and structured observation. Next, I summa- rize known vulnerabilities in emergency care, with emphasis on capacity, cognition, communication, and collaboration. Having described the prob- lem of patient harm in EDs, I turn to survey the concept of ‘safety culture’ 29 and the practice of reporting. Here, I discuss the confusion surrounding the concept of ‘safety culture’ and the challenges of measurement. In the third section, I explore sensemaking, and review frames, mod- els, and paradigms that influence how we approach safety. I then look to safety learning, and argue for story dialogue that embeds safety in a com- munity of practice. I introduce resilience as a strategy to advance patient safety in emergency care, with emphasis on adaptive capacity and fore- sight. Finally, I outline the theoretical underpinnings of my paradigm of inquiry as a practice-based ethnography. 2.1 Introduction Hospital EDs are complex, high-hazard healthcare environments that pose a threat to patient safety [44, 46–48, 158–160]. Ironically, EDs emerged in the interests of patient safety, and have become key components of the social safety net . Yet, as healthcare delivery shifts towards ambula- tory care, EDs have become an increasingly brittle part of the healthcare system . A hospital ED exemplifies the characteristics of a complex adaptive system (CAS), and is among the most dynamically interactive of complex socio-technical systems with risk of failure and harm. Patient care is successfully delivered in a crowded, unbounded, interdependent, and continuous operational environment, where safety is created in every- day practice through anticipation, flexibility, vigilance, and resilience, and fails through gaps in communication, sensemaking, and responsibility. 30 2.1.1 The Birth of Emergency Departments In the early days of the 20th-century Anglo-American hospital, care for the injured most often began in a one or two bed “accident room.” “Ac- cident rooms,” “emergency rooms,” or “accident and emergency rooms,” were the only door open around-the-clock, and the place for those with acute injury or illness or no place else to go. Medical evaluation was brief, laboratory investigations were minimally available and seldom used, and although hospital admission rates were high, patient turnover was rapid . Ask any resident his first and last impressions of the Accident Room and you will get a sentence in which the words “sweat,” “urine,” “vomit,” “sputum,” and “general filth” would play a large part [163, p. 225]. As medicine became increasingly specialized, and the number of gen- eral practitioners declined, the number of patients presenting to hospital emergency rooms increased. The public preference or need to seek care at a hospital when an emergency arose led to a tripling of emergency room visits in the United States from 9.4 million to 28.7 million between 1954 and 1965 . As more patients visited emergency rooms across most of the modern world in the 1960s and 1970s , the inexperience of care providers led to the common perception of emergency rooms as places of poor-quality medical practice, the “weakest link” [165–167] and “a neces- 31 sary evil” . As the authors of the landmark report Accidental death and disability: the neglected disease of modern society  noted: For decades the “emergency” facilities ofmost hospitals have consisted only of “accident rooms,” poorly equipped, inade- quately manned, and ordinarily used for limited numbers of seriously ill persons or for charity victims of disease or injury. . . . Society now looks to the hospital emergency department as a community center for outpatient care . . . In contrast to staff coverage of the “accident room” by a hospital attendant and perhaps an intern, minimal demands call for around-the-clock staffing by permanently assigned physicians and paramedical personnel trained in all aspects of the care of trauma . . . The number of physicians experienced in the treatment of multiple injuries is very limited. The need is now recognized for spe- cial training in immediate care and in the overall direction of emergency departments, of a calibre commensurate with that attained by only a few individuals in active military field units caring for combat casualties [169, p. 18-19] The safety of patients, and injured patients in particular, was put at risk by an inadequate medical and hospital system. In Canada, emergency rooms of urban hospitals were staffed by physicians without formal train- ing in emergency medicine, comprehensive emergency care was uncom- mon, and unsupervised junior residents made all patient care decisions 32 during the night . Recognition of the need for around-the-clock cov- erage of emergency rooms by permanently assigned physicians trained in immediate care of the sick and injured, led to the birth of emergency medicine and the evolution of “emergency departments”. Professional colleges of emergency physicians began to develop around the world be- ginning in the late 1960s, and by the 1980s emergency medicine and emer- gency nursing were recognized as specialities in the United States and Canada. Over the past 40 years, the structure and care provided in EDs has un- dergone a revolution. EDs have evolved into sites for stabilization of criti- cally ill or injured patients, for clinical investigation of the undifferentiated patient, and the portal of entry for the ill and injured into the hospital sys- tem . EDs provide access to health care for all, and emergency physi- cians are the only continuously accessible medical speciality for patients seeking “help and solace in the health care system” [161, p. 351]. The spectrum of complaints encountered in an urban emer- gency facility is all-encompassing. The mix of peoples of vastly different backgrounds, the fervid life of the city, and the tele- scoping of all conceivable socioeconomic difficulties into a small geographical area conspire to make the emergency department experience rich but unnerving in its complexity [172, p. 86]. Now, at the beginning of the 21st-century, urban hospital EDs are over- crowded [173–178], and bear the dubious distinction as sites of the highest 33 proportion of “preventable” patient harm [50, 52, 54, 179]. 2.2 The Problem: Patient Harm The safety elephant is in the house, size unknown. Estimates of the bur- den of patient harm vary widely. Much as the six blind men in the ancient Hindu parable, there has been considerable effort to understand the entity of patient harm, and yet, our tools are inadequate, and our vision limited. In this section, I provide an overview of the epidemiology of injury related to healthcare delivery. Themost common research strategy used to charac- terize the problem of patient harm is the retrospective chart review. I point out what we have learned from this strategy, as well as its limitations. I then review and compare alternate strategies and their limitations. Studies of iatrogenic injury began in the mid-20th-century [180–186], but it was not until the Harvard Medical Practice Study (HMPS) [50, 51, 187–190] in 1984 that a large systematic population-based study on iatro- genic complications was performed. Even then, the HMPS was intended to study tort reform, not patient safety. Despite a long history of evidence that healthcare was a threat to health [191, 192], and a source of harm1, it has not been until the past decade that the endemic problem of patient injury related to the delivery of care has garnered widespread attention , and is now established as a global healthcare and health policy issue . Hospitals, and particularly the complex bureaucratic institutions of 1Code of Hammurabi circa 1700 BCE 34 modern hospitals, have never been safe from the threat of patient harm, not now, and likely never. 2.2.1 The Tipping Point: To Err is Human The past decade has seen unprecedented public, government, academic, and practitioner interest in patient safety. A decade ago, the Institute of Medicine (IOM) Committee on Quality Health Care in America released a groundbreaking policy document on medical injury entitled To Err is Human: Building a Safer Health System  that proved to be the tipping point, forcing patient safety onto the policy agenda of many industrialized countries. To Err is Human cited findings from the HMPS [50, 51, 187–190] and the Utah Colorado Medical Practice Study (UTCOS)  and extrapolated the estimates of “preventable” patient harm to the over 33 million hospital admissions in the US in 1997 to suggest that between 44 000 and 98 000 patients die each year in the US “as a result of medical errors”. This esti- mate of patient harm ranks “death due to medical error” as between the 5th- and 8th-leading cause of death in the US. The report was a rhetorical blockbuster that changed the conversation . No medical publishing event since the Flexner Report of 1910 has generated more reaction and alarm . A flurry of political, policy, and research activity immediately followed the release of To Err is Human, both in the US and internationally [196–198]. In Canada, the Canadian Patient 35 Safety Institute was established in 2003 with funding fromHealth Canada, and a national mandate “to build and advance a safer healthcare system for Canadians”. In emergency medicine, the American College of Emer- gency Physicians and the Society for Academic Emergency Medicine both set up task forces to develop strategies to address safety in emergency care, and the first Society for Academic Emergency Medicine consensus conference was devoted to the problem of safety in emergency medicine [6, 70, 160, 199–203]. However, the main message of the report, that “safety is a system is- sue” and “does not reside in a person, device or department, but emerges from the interactions of components of a system” [11, p. 57], has unfortu- nately been obscured by the focus on “medical error” [6, 8–10, 204, 205]. The unreconciled tension in To Err is Human is the emphasis on human “error”, and the attendant bias towards the individual practitioner . In contrast to the social science it draws on [206, 207], To Err is Human suggests that human “error” is the overwhelming contributor to adverse events [11, p. 53], and fails to explain how the system, whose elements are coupled and interdependent, is to be transformed primarily through actions carried out by intentional individuals . The authors of the re- port appear to have missed the point of Perrow’s argument, which is “if, as we shall see time and time again, the operator is confronted by unex- pected and usually mysterious interactions among failures, saying that he or she should have zigged rather than zagged is possible only after the 36 fact” [206, p. 9]. Thus, human “error” is not an explanation; it demands an explanation [56, 149]. 2.2.2 Retrospective Chart Review In the decades following publication of the HMPS, numerous groups of in- vestigators from around the world have utilized a similar two-stage chart review process from either a random or total sample of non-selected pa- tients in one or multiple hospitals to estimate adverse outcome occurrence and mortality in hospitalized patients [208, 209], including investigators in other regions of the United States [53, 54, 210–212], Australia , the United Kingdom [86, 213, 214], Denmark , New Zealand [216, 217], France , Canada [55, 93], Spain [219, 220], Brazil , Sweden , and the Netherlands [223, 224]. Estimates of the proportion of annual hospital admissions associated with one or more adverse events (AEs) range from 2.9 percent (95% CI, 2.6% to 3.2%)  to 16.6 percent (95% CI, 15.2% to 17.9%) , with lower estimates found in studies conducted from a more stringent medico-legal perspective where the emphasis was on “negligence” [50, 51, 53], and higher estimates found in studies conducted from a quality improvement perspective where the emphasis was on “preventability” [52, 55, 93, 210, 213–216, 218, 219, 221, 222, 224]. Similarly, estimates of the incidence of “negligent” or “preventable” AEs range from 1.0 percent (95% CI, 0.8% to 1.2%)  to 8.6 percent (95% CI, 7.4% to 9.8%) , and estimates 37 of the proportion of “preventable” AEs range from 27.6 percent (95% CI, 22.5% to 32.6%)  to 70.1 percent (95% CI, 64.3% to 75.9%) , again with lower estimates found where the emphasis was on “negligence”, and higher estimates found where the emphasis was on “preventability”. Globally, between 1984 and 2006, over 85 000 hospital charts frommore than 180 hospitals in eleven different national healthcare systems have been systematically reviewed for iatrogenic injuries . On average, an AE is detected in the medical record of approximately 10 percent of pa- tients admitted to hospital per year, with approximately half of these AEs judged to be “preventable” adverse events (PAEs). EDs have been identified as the location of the highest proportion of PAEs [50–55], although ED care accounts for less than 5 percent of AEs detected on hospital charts [51, 52, 54, 55, 186, 209, 221]. In comparison, “ambulatory care preventable adverse events” (APAE) occur most com- monly in physicians’ offices (43.1 percent), and EDs (32.3 percent), but also at home (13.1 percent) and in day surgery (7.1 percent), with day surgery events most likely to contribute to patient harm . Preventable adverse events, the category of particular interest, are pri- marily associated with performance, prevention and diagnostic related tasks . Although the diagnosis category (failure to use indicated tests, failure to act on results or findings, avoidable delay) is associated with the highest proportion of “negligence” (74.7 percent) in the HMPS, higher absolute numbers of performance (technical error, inadequate preparation 38 or monitoring, avoidable delay) and prevention (failure to take precau- tions, failure to use indicated tests, failure to act on results or findings, avoidable delay in treatment) related events, albeit considered less “pre- ventable” (28.2 percent and 59.6 percent, respectively), makes these three categories similarly the most common categories of PAEs. APAEs related to diagnosis and surgery are more common than events related tomedication, non-surgical procedures and therapy, butwith broad confidence intervals around the point estimate there is no significant dif- ference . Diagnostic related APAEs are the most numerous, and all are categorized as “preventable” in contrast to other categories where be- tween 21 percent (medication) and 85 percent (therapeutic) of events are counted as APAEs. The majority of ED events are “preventable” diagnostic related events, which is not surprising given the diagnostic nature of emergencymedicine. Yet, emergency medicine may have been judged in retrospect by the stan- dards of traditional medicine, that is, whether the precise diagnosis is made , and without an understanding of the context and nature of emergency care. Hindsight bias, social attribution, and the lack of emer- gency physicians as peer reviewers may have contributed to an overesti- mate of the degree of “preventability”. 39 Limitations One of the primary limitations of retrospective chart reviews and active surveillance is the associated time and cost required. More significant and problematic, however, is the impact of reviewer perception and retrospec- tive judgement on the estimated rate of PAEs [57, 208, 227, 228], which can be understood, in part, as an effect of hindsight bias [137, 229–232], and the social construction of risk [233, 234]. Direct comparison of the UTCOS  and the Quality in Australian Health Care Study (QAHCS)  allows for an international and method- ological comparison of the chart review strategy for detecting iatrogenic injury [211, 228]. Both studies utilized the 2-stage chart review strategy of the HMPS [50, 51, 235], and used the same definition of an AE.2 The five-fold difference between studies in the estimate of the inci- dence of AEs, can in part be accounted for by methodological differences. When the Australian data are analyzed using the UTCOS methods, the comparative rates of AEs become 10.6 percent and 3.2 percent, respectively . Hence, the five-fold difference is reduced to a three-fold difference simply by using the same explicit methods. Further qualitative compari- son suggests that both studies detected a similar core of AEs, accounting for two-thirds (67 percent) of the UTCOS AEs and almost one-third (28 percent) of the QAHCS AEs. There are no statistical differences between 2“An unintended injury or harm to a patient, caused by healthcaremanagement rather than a disease process, which contributed to hospitalization, prolonged hospitalization, morbidity at discharge or death” [54, p. 372] 40 studies across these categories. In contrast, there are six to seven times more minor AEs in the Australian data compared to the American data, and three times more AEs overall . This bi-modal pattern suggests that reviewer behaviour or perception of what counts as an AE may un- derly the 3-fold discrepancy between studies. That the discrepancy lies in part in the eye of the beholder  is not surprising considering the differing perspectives of the studies. The UT- COS was designed to compare the cost of a “no-fault” insurance system with that of the tort system, whereas the QAHCS was designed to assess the overall impact of AEs on a universal healthcare system. The American reviewers were aware that exposure to litigation and claims for compen- sation were being assessed, while the Australian reviewers were aware that the study was intended to estimate the burden of AEs on the sys- tem. Hence, the US reviewers were more likely to have been biased away from “detecting” an AE, while the Australian reviewers were more likely to have been biased towards “detecting” an AE. Despite using the same outcome definition, differences in interpretation and application of a sim- ilar method accounts for much of the discrepancy in results. The other significant limitation of the retrospective chart review strat- egy for estimating the burden of patient harm in EDs, is that the majority of patients cared for in an ED are discharged home, and therefore are not represented in these in-hospital studies. 41 2.2.3 Alternate Strategies Given these limitations of retrospective hospital chart review, multiple other strategies have been used to describe and estimate the burden of patient harm related to emergency care delivery. Closed claims Emergency medicine is a specialty at high risk of litigation , where most malpractice risk is related to “failure to diagnose” . Wounds (19.9 percent) and fractures (17.7 percent) account for the largest propor- tion of claims, although missed myocardial infarction accounts for the largest single payout category (25.5 percent) and the only category where the proportion with indemnity payment was greater than the proportion without indemnity payment . The majority (65 percent) of cases identified on closed claims analysis involve missed ED diagnoses associated with patient harm . Almost half of these missed diagnosis claims (48 percent) were associated with pa- tient harm, and 39 percent were associated with death. The main “break- downs” attributed to failure of diagnosis were failure to order an “appro- priate” diagnostic test (58 percent), failure to perform an “adequate” med- ical history or physical exam (42 percent), “incorrect” interpretation of a diagnostic test (37 percent), and failure to order an “appropriate” consulta- tion (33 percent). The leading factors contributing to the missed diagnoses were judged to be cognitive factors (96 percent), patient-related factors (34 42 percent), lack of appropriate supervision (30 percent), inadequate hand- offs (24 percent), and excessive workload (23 percent), with most claims associated with more than one breakdown and contributing factor . Sentinel Events Hospital EDs have also been identified as the source of the majority (53 percent) of sentinel event cases of patient death or permanent injury due to delays in treatment . Reported reasons for delay were varied, with the most common being misdiagnosis (42 percent), delayed results (15 percent), physician availability (13 percent), delayed administration of or- dered care (13 percent), and incomplete treatment (11 percent). Most com- mon among the multiple cited “root causes” was a breakdown in commu- nication (84 percent), and most often with or between physicians (67 per- cent). In addition, concerns about patient assessment processes (75 per- cent) and continuity of care (62 percent) were cited in more than half of cases. The most commonly cited systemic “root causes” among the ED cases include staffing (34 percent), overcrowding (31 percent), and avail- ability of consultants (21 percent). Unscheduled return visits: “Bouncebacks” Unscheduled returns within 72 hours are commonly used as an ED quality care indicator [201, 241, 242] based on evidence that upwards of 40 percent of patients who make unscheduled return visits within 72 hours do so for avoidable reasons, including “deficiencies” in medical management, pre- 43 scribed followup, patient education or patient compliance . An un- scheduled return visit or “bounce” rate of 3 percent, of which 10 percent were considered to be related to “error” in diagnosis, treatment or disposi- tion, and more likely to require hospitalization, has been estimated using 48 hours as the criterion . Based on hospital registration data, admis- sion to hospital on 72-hour return visits occurs in approximately 0.5 per- cent of cases, although patients who presented elsewhere within 72 hours were not included . Unanticipated death after discharge Findings from a 10-year retrospective cohort of patients discharged home from an urban, tertiary-care, Level I trauma ED derived by probabilistic linkage of three databases , suggest a rate of unanticipated death within one week of ED discharge almost three times higher than pre- viously estimated using retrospective review of medical examiner cases . Rate estimates suggest 15.0 unexpected but related deaths within 7 days per 100 000 discharges home (95% CI, 11.6 to 19.4), and 9.0 un- expected but possibly error related deaths within 7 days per 100 000 dis- charges home (95% CI, 6.5 to 12.6). In addition, four main themes were identified using a grounded the- ory approach to identify commonalities among the cases : atypical presentation of an unusual problem; decompensation of chronic disease; mental disability, psychiatric problem or substance use that may have af- 44 fected return to the ED; and abnormal vital signs. Abnormal vital signs, particularly tachycardia, were documented on 71 percent of potential pa- tient safety events leading to death within 7 days of ED discharge. The difference between studies is likely related to more complete case finding using the linked database approach, although even this approach possibly would have missed cases from jurisdictions outside of the database. Esti- mates of unexpected death related to potential patient safety incidents are also limited by chart review and retrospective knowledge of fatal outcome and comorbidity, and are interpreted with caution. Telephone Followup Multi-wave telephone followup suggests that the majority of patients (88 percent) receiving ED care are satisfied and perceive their care to be safe . However, 38 percent (95% CI, 35% to 41%) of patients in this sam- ple expressed concern about a specific threat to safety during their care. Almost one-quarter of all patients (22 percent; 95% CI, 19% to 25%) re- ported they were concerned about misdiagnosis. Concerns about medica- tion errors (16 percent), mistakes by physicians (16 percent) and mistakes by nurses (12 percent) were not significantly different. Prospective study of 399 patients discharged home from an ED, de- tected an AE in 6 percent (95% CI, 4% to 9%), of which 71 percent were considered “preventable” (PAE incidence of 4 percent (95% CI, 3% to 7%) . Outcomes were determined using a combination of implicit physi- 45 cian chart review and telephone follow-up. Adverse outcomes were con- sidered to have occurred following discharge if patients had new or wors- ening symptoms, visited an ED, were admitted to hospital, or died. A sin- gle reviewer summarized all “adverse outcomes” using information from chart review, telephone interview, and any additional information from follow-up visits or hospitalizations. The majority of AEs (63 percent; 95% CI, 43% to 77%) led to an addi- tional ED visit or hospitalization. Judgements of “preventability” were focused on the “holistic” functioning of the healthcare system [249, p. 21]. Hence, if arrangements for follow-up were not carried through, this was judged as an “error”. Too, diagnostic “errors”, management “errors”, “unsafe” disposition decisions or inadequate follow-up were classified as “preventable”, whereas events related to medication side-effects and pro- cedural complications were considered “non-preventable”, and although examples were given, no other explication or justification for these deter- minations was provided. Prompted reporting Several studies have attempted to improve upon voluntary incident re- porting by prompting physicians, nurses or pharmacists to report errors or adverse events. Not surprisingly, reminding providers to report im- proved the rate of reporting, and the number of reports increased with the intensity of reminders (daily versus weekly) . In a concurrent com- 46 parison, prompted reporting was as effective in detecting adverse events as chart review, but less than half of the cases overlapped , suggesting that neither method alone is adequate for detection. Most reported errors with active solicitation of ED care providers and staff over a 1-week period at a 600-bed academic, tertiary care ED were low risk incidents such as incorrect documentation, misplacing paper- work, and mislabelling specimens . Eighteen “errors” in emergency care were reported per 100 registered patients, and 2 percent of these “er- rors”, including incorrect medication administration and incorrect per- formance of resuscitation procedures, were associated with patient harm. This equates to a patient injury rate of 3.6 patients per 1000. Interestingly, during the week long study period, seven incident reports related to “er- ror” were filed, three of which were not elicited by the researchers. Structured observation Ethnographic observation of provider discussions during rounds, shift changes, case conferences, and meetings on in-patient surgical units at a large, tertiary care, urban teaching hospital, detected an adverse event rate of 17.7 percent (95% CI, 15.4% to 20.0%) . Physicians and nurses were noted to “candidly discuss adverse events in patient care at work rounds and clinical meetings” [253, p. 312]. The major attribution of cause was to individuals (37.8 percent), whereas 25.4 percent of AEs were attributed to interactions or administrative issues such as staffing or equipment. Cen- 47 tral to the categorization is the sensemaking of providers on the causes of patient harm, which in turn reflects their accident models [see Section 2.5.1]. Ethnographic fieldwork over 30 months in two EDs in the UK revealed several active and latent failures in ED care . The active failures in- volved delay, failure to obtain or misinterpretation of diagnostic informa- tion, and inappropriate treatment. Underlying these active failures were latent conditions considered to be patients’ unrestricted access to the ED, individual cognitive “errors” by staff, and strict horizontal and vertical division of labour. The seven critical incidents related to the division of labour were analysed in detail noting the demarcation between profes- sions, and between levels of seniority within professions . All incidents revealed a tension between the need to work flexibly and the rigidity of the division of labour. The culture of the wards had pen- etrated the ED , “importing a foreign framework of cultural beliefs that affect the decision making and action at the local level” [254, p. 89]. In the majority of incidents, collaboration from another profession or a senior member of the same profession, was required, but hindered by es- tablished patterns of deferring to formal authority. Rather than adminis- trative control, Boreham et al.  argue that risk could be reduced if providers recognized the “sapiential authority”3 of “ground knowledge” that contributes to collective competence. Although one case suggested 3Authority based on practical wisdom rather than hierarchy 48 that deferral to sapiential authority may not always protect against fail- ure, it remains that collective competence and “heedful interrelating”  may have prevented these patient safety incidents. Quasi-experimental Intervention Implementation of a teamwork training curriculum and creation of a team- based staffing pattern comprised of physician-nurse-technician teams sig- nificantly reduced the mean observed “clinical error”4 rate from 30.9 to 4.4 percent in the intervention group compared to the control group (16.8 to 12.1 percent, p=0.039) . Teamwork changes, including physical changes to workspaces and layout to eliminate barriers separating nursing and medical staff, were considered valuable by staff; points of resistance included the wearing of team identifiers and the designation of physicians as team leaders. The individual role performing specific leadership func- tionswas less important than that clinical and operationalmanagement in- formation was exchanged among physician and nurse leaders. Although this evidence suggests that ED teamwork behaviours are amenable to in- tervention, the impact on patient safety is less certain without knowing the background variability in the observed “error” rate in both the exper- imental and control groups. 4Defined as “any clinical task that actually or potentially put a patient at risk” [257, p. 1559] 49 Summary The potpourri of research strategies to quantify the burden of patient harm results in widely varying estimates. In an ED with an annual census of 60 000 patient visits, the number of patients harmed might range from ap- proximately 2005  to 54006 . This 27-fold difference suggests that the effort to count and classify “error” and patient harm may be an exam- ple of theWhat-You-Look-For-Is-What-You-Find or theWYLFIWYF principle . 2.3 Patient Safety in Emergency Departments Hospital EDs are unique operating environments. An ED stands alone, its red sign a beacon in the night, an open door that never closes. All in need are welcome, however they arrive, whenever day or night, whoever they might be, from wherever they come, with whatever concern they might have . There is no schedule or appointments, there are no caps or quo- tas, and historically, “the ED is the only infinitely expansible part of the hospital” [cited in 160]. All of humanity comes; some have no where else to go. Many are unknown, their visit unexpected, even undesired. Some are unstable or uncooperative. They all arrive in suffering, with injuries, illness, and social problems for which there often is no easy cure. For a few, they seek the basic necessities of shelter and food, and for a time, a 5Estimate of patient harm of 2 percent of 18 “errors” per 100 patient visits  6Upper confidence limit estimate of patient harm of 9 percent  50 sanctuary. All come, all go, be it in moments or days. No one stays. Every- one is passing through on a journey. Often overcrowded, rarely quiet, and almost never empty, an ED continues on in perpetual dynamic interaction. Hence, it should not surprise that EDs are crowded, chaotic, and com- plex, high-risk healthcare environments that pose a threat to patient safety [46, 47, 258]. Several aspects of hospital emergency care, including care of multiple acutely ill or injured patients of varying severity, overcrowding, multiple interruptions, and uncertain or incomplete information, suggest that emergency care may be particularly vulnerable to unintentional un- safe acts [46, 258]. The level of decision density, cognitive and emotional load, uneven and abbreviated care, shift work and transitions, sleep de- privation and limited breaks further contribute to the difficulty of deliver- ing care in the ED . Increasing patient waiting time and the delivery of care in hallways and waiting rooms lends evidence to resource limi- tations, overcrowding, and unmatched demand . Surge and overca- pacity threaten patient safety through distractions, interruptions, multiple competing demands [47, 63, 70] and trade-offs [59, 259]. EDs operate at the liminal interface between the “rear guard” of the hospital and the hostile “world” of injury, illness and infection . They are the “canary in the mine shaft” of the healthcare system, unique as a complex and difficult healthcare settings in which to provide care [see Ta- ble 2.1] , and a “natural laboratory for the study of error” . 51 Characteristic Comment unbounded no upper bound to the demand for care multiplicity concurrent care to a population of patients with vari- able acuity and complexity of complaints uncertainty fundamental aspect of providing care to undifferenti- ated patients time constraints production pressures to see and discharge patients force trade-offs; small window of opportunity for successful action in acute, life-threatening scenarios feedback routine outcome feedback is rare opportunity for practice limited opportunity to practice critical procedures Table 2.1: Characteristics of an ED operating environment Adding to these six department-level characteristics are personnel fac- tors (shift work and sleep deprivation) and system-level factors (staffing and interdependence on supporting services laboratory, imaging, and con- sulting services) that contribute to a dynamic that creates the potential for novel and unexpected system interactions . 2.3.1 Vulnerabilities in Emergency Care Taking these threats to safety as a starting point, I turn now to briefly ex- plore issues related to the major themes of patient safety in the ED: capac- ity (flow, surge, overcrowding), cognition (diagnostic “error”), communi- cation (interruptions), and collaboration (teamwork and transitions). 52 Capacity I beginwith capacity. In the decade between 1993 and 2003, the population in the United States increased by 12 percent, hospital admissions increased by 13 percent, but ED visits increased 26 percent, even as the number of EDs across the country decreased. This confluence of increasing demand and decreasing supply, in concert with access block, led to overcrowding, boarded inpatients, ambulance diversions, and almost 2 million patients who left without being seen . This situation leaves little to no reserve for surge capacity or disaster preparedness, contributes to delays in treat- ment [178, 262], and probably contributes to patient harm [263, 264]. EDs are at “the breaking point” , making capacity or “safe space”  ar- guably the greatest threat to patient safety in urban EDs . Cognition As noted [see Section 2.2], missed ED diagnoses are associated with pa- tient harm [50–55], and are a significantmedical-legal risk [237–239]. How- ever, the ambiguous designation of “missed or delayed diagnosis” re- quires the use of retrospective judgment. “Error” is often judged as the result of simple chains of events, but redundancy and codependencies are prevalent in complex systems . Diagnostic “error” is generally viewed as an individual cognitive failure [156, 203, 259, 267–273], and un- commonly viewed as a system problem [274–276], even though diagnosis is more a problem of situated perception and sense making [43, 232, 277– 53 279], and failures do not neatly fit into “cognitive” versus “system” . Individual risk perception cannot be studied in isolation from the social world because risks are socially embedded, and may be “exaggerated or minimized according to the social, cultural, and moral acceptability of the underlying activities” [280–282]. Risk perceptions are therefore embedded in social discourse, and strategic rationality has social origins [283, 284]. Only through social interactions do standards for reason develop, and particularly when reasoning is dependent on the choices of other actors. It is not possible, therefore, to determine if a person is acting rationally without knowing their social situation. Rationality assumptions must pay attention to social context and tacit knowledge. Theories of decision-making based on individual volition are inade- quate to explain the social embeddedness of practice. Viewing action as a individual calculative act fails to account for the social and habitual char- acter of everyday practice. Actions are always situated in context, and therefore are impossible to understand without that context. Hence, we must be careful when attributing cognitive processes to individuals who are engaged in cultural practices, for there is a danger of attributing to the individual cognitive properties that belong to the larger distributed sys- tem . Risk or safety models based on collective joint action are thus more appropriate to understand interpersonal or group actions. 54 Communication Good communication is an essential part of teamwork and patient safety [65, 286–288]. Communication failures are the leading “root cause” of sen- tinel events reported to The Joint Commission [289, 290], and the leading cause reported on retrospective review of in-hospital deaths . Communication patterns and load in EDs has been studied across sites in three different countries with similar findings [see Table 2.2]. Commu- nication in the ED can be chaotic [63–65, 68], with multiple interruptions , transitions [291, 292], limited feedback [202, 293, 294], and commu- nication overload. Hence, the potential for threats to patient safety from communication errors in the ED is high. Explicitness and efficiency are two of Grice’s maxims of communica- tion  — be clear, and say only as much as necessary to convey the message—with higher levels of explicitness required among three people than between two people . However, effective team communication is more than timely and accurate transmission of information. Healthcare teams are socially constructed groups situated at the intersection of multi- ple institutional and professional cultures. Hence, examination of communication in healthcare teams must look at both communication and the evolving context, and consider strategies that promote shared situational awareness and support distributed action [297, p. 19]. Hence, communication and collaboration are intertwined. 55 Reference Setting & Participants Observation Events Communication Load Coiera et al.  2 EDs: rural & urban ter- tiary teaching, NSW; Jun- Jul 1999; nurses(6), physi- cians(6) 35h13m; morning, after- noon, evening, weekday; observer training not de- fined 1286 events; 36.5 events per person per hour (95% CI, 34.5-38.5); medical staff 33.6 events per hour (95% CI, 31.0-36.2); nurs- ing staff 39.8 events per hour (95% CI, 36.7-42.8) 28h12m (0.80); medical staff (0.79), nursing staff (0.82) Spencer et al.  urban teaching, NSW, Jul- Sep 2001; nurses(4): 2 senior, 2 bedside; physi- cians(4): 2 registrars, 2 learners 19h52m; morning, after- noon, night; clinically trained observer 831 events, 42 events per person per hour 17h40m (0.89) Fairbanks et al.  university tertiary re- gional trauma centre, 93350 census 2005; Apr- May 2005; 20, 10 adult, 10 pediatric: 2 attending, 2 R3, 2 residents, 2 bedside, 2 charge 39h12m; 15 day, 5 evening; nonclinical RA, paper data collection form; 8h familiarization 1665 events, 1423 for anal- ysis, 49 events per hour 28h51m (0.74) Woloshynowych et al.  inner-city, London UK, 113000 census, CDU; Jan-Jun 2005; 11 charge nurses 20h, 9-6 weekdays; non- clinical RA 2019 events, 100.9 events per hour, 1.68 events per minute Table 2.2: Summary of communication studies in an emergency department 56 Collaboration Collaboration literally means to “labour together”, and is at the heart of effective joint action. Two key aspects and challenges of collaborative care are transitions and team coordination. Transitions in care, or handoffs, are a significant understudied threat to patient safety [298–300]. Every ED patient experiences multiple transitions between providers and staff over time and space. In addition, continuous 24/7/365 operation dictates that handoffs between care providers are a routine and vulnerable part of everyday practice in emergency care. Thus the need to make transitions robust for safety. Transitions involve much more than monologic information transfer; they also include a transfer of control or responsibility , and present opportunities for sensemaking and resilience . In addition, the dis- tributed and uncertain nature of emergency care calls for flexibility in structuredness and degree of interaction at transition points . 2.4 The Overarching Strategy: ‘Safety Culture’ The safety of patient care presents one of the greatest challenges for amod- ern healthcare organization (HCO) . The widespread and persistent problem of preventable patient harm, seen across settings, units, hospitals, and healthcare systems around the globe, suggests that patient safety is threatened by some fundamental aspect of the organization and delivery of healthcare — ‘safety culture’. In response, the management of patient 57 safety is now a policy priority for many local, national, and international HCOs, with the key message from these initiatives focused on building a culture of safety [11, 197, 304–308]. The concept of ‘safety culture’ comes from anthropology by way of the nuclear industry. A poor ‘safety culture’ was first documented in the sum- mary analysis of the nuclear accident at Chernobyl in 1986 [155, 309, 310]. In the wake of Three Mile Island and Chernobyl came the realization that technical and human factors are not adequate to explain complex socio- technical accidents [206, 311]. It was the realization that organizational and cultural factors underlay these disasters that led the International Nu- clear Safety Advisory Group (INSAG) to introduce the term ‘safety cul- ture’ to represent the management and organizational factors that are rel- evant to safe nuclear plant operation . INSAG has since developed the term to describe: . . . that assembly of characteristics and attitudes in organiza- tions and individuals which establishes that, as an overriding priority, nuclear plant safety issues receive the attention war- ranted by their significance [313, p. 1]. However, the problem with INSAG’s approach is that it assumes a re- lationship between ‘safety culture’ and human performance or safe oper- ational performance, and offers no theoretical or empirical foundation for the concept . Moreover, a decade following Chernobyl, attempts to 58 understand the relationship between ‘safety culture’ and organizational outcomes were “unsystematic, fragmented, and in particular underspeci- fied in theoretical terms,” [as cited in 155, p. 203] and even now “cul- ture is an actively contested concept; its importation into organizational and engineering analyses is equally contentious” [316, p. 350]. Yet, de- spite confusion , and in danger of becoming meaningless [156, 309], ‘safety culture’ is now ubiquitous in studies of risk and safety in high haz- ard industries . ‘Culture’ became part of management lexicon in the post-1960s era [317, 318], but it was largely a reductive and oversimplified concept of culture that took hold, with “strong tendencies to reify, essentialize, unify, idealize, consensualize, totalize, and otherize” [319, p. 186]. Schein notes that: any social unit that has some kind of shared history will have evolved a culture, with the strength of the culture dependent on the length of its existence, the stability of the group’s mem- bership, and the emotional intensity of the actual historical ex- periences they have shared [320, p. 11] and defines organizational culture as: a pattern of shared basic assumptions that was learned by a group as it solved its problems of external adaptation and in- ternal integration, that has worked well enough to be consid- 59 ered valid and, therefore, to be taught to new members as the way to perceive, think, and feel in relation to those problems [320, p. 17] However, ‘culture’ is an abstraction  that has no fixed or gener- ally agreed upon meaning, even in anthropology . Taking a more socio-anthropological view on culture points to an emphasis on meaning and mutability as “ways of life”, “maps of meaning”, “systems of signi- fication”, and “habits and norms” [322, p. 156]. Organizational culture then is the set of artifacts, values and assumptions that emerge from the interactions of organizational members [320, 323]. Culture in this view is never singular, naturally given, or neutral, but rather is considered as a dy- namic context-dependent process of interaction that reproduces meaning and patterns of behaviour which are re-articulated in plural, fragmented, and diverse ways through social relations and contestations within intel- lectual, political and economic arenas that reflect and reproduce dominant beliefs and values [324, 325][cited in 326]. Hence, culture is fundamen- tally relational, and always an effect of relational power [327, 328] best modified through changes in social practice. Culture is generated through socio-spatial relationship within an interacting community, where inte- grated patterns and spaces that intersect at a particular time and place are uniquely imbued with meaning . Organizational culture supplies a shared way of knowing which gives meaning to and is revealed in practice. Culture facilitates shared inter- 60 pretations of situations and renders coordinated action and interaction possible and meaningful . Culture both enables and constrains. Al- though the dominant perspective is one of unity and consistency, culture may also be viewed as inconsistent, conflicted, contested, and ambiguous . Multiple cultures may serve a useful purpose, as they provide a di- versity of perspectives and interpretation of emerging problems in safety . The belief that organizations that develop andmaintain a strong ‘safety culture’ are more effective at preventing accidents underlies the promi- nence of the concept, despite confusion about what ‘safety culture’ is7 or how it can be “measured and managed” [19, 136, 151, 314, 316, 332– 334, 334–348]. One widely used definition from the 3rd Report of the Advisory Com- mittee on the Safety of Nuclear Installations and published by the Health and Safety Commission (of Great Britain) describes the ‘safety culture’ of an organization as: The product of individual and group values, attitudes, percep- tions, competencies, and patterns of behaviour that determine the commitment to, and the style and proficiency of, an orga- nization’s health and safety management. Organizations with a positive safety culture are characterized by communications founded on mutual trust, by shared perceptions of the impor- 7Weigmann et al.  identified thirty published definitions 61 tance of safety, and by confidence in the efficacy of preventive measures. [349, p. 23] This is the definition that has been appropriated almost intact in health care [350, p. ii18], without any apparent consideration for the potential difference between nuclear power and health care. Central to this def- inition is the patterns of collective action founded in mutual trust and shared values that impact safety. Perhaps the most widely used character- istic of ‘safety culture’ is the concept of an informed culture, one in which group and organizational members at all levels do not forget to be afraid [83, 351]. Reason  goes on to suggest that an informed culture is made up of a reporting culture (trust and commitment), a just culture (clear line between acceptable and unacceptable), a learning culture (will and compe- tence to learn and change), and a flexible culture (effective adaptation), to which Hudson  adds the dimension of wariness. An additional four characteristics were suggested by Ek , including working situation, communication, attitudes towards safety, and safety-related behaviours, whereas Piers, Montijn, & Balk  reduce their framework to six char- acteristics: commitment, behaviour, awareness, adaptability, information, and justness. In healthcare, theManchester Patient Safety Framework (MaPSaF) [354– 356] is a facilitative self-reflective group education tool based onWestrum’s [357–359] model of information flow in organizations. Westrum described three levels of organizational culture — pathological, calculative, and gen- 62 erative — to which Reason  added reactive and proactive to create a five-level model. Adaptation of the framework [341, 360] to healthcare be- gan with interviews with opinion leaders from primary care organizations , who corroborated nine dimensions of patient safety identified from a review of the literature [see Table 2.3]. Overall commitment to quality Priority given to patient safety Perceptions of the causes of patient safety incidents and their identification Investigating patient safety incidents Organizational learning following a patient safety incident Communication about safety issues Personnel management and patient safety issues Staff education and training about safety issues Team working around safety issues Table 2.3: Dimensions of patient safety Put succinctly, creating safety is about “making the unthinkable cog- nizable and the invisible apparent” [316, p. 361]. For some, ‘safety cul- ture’ is measurable, and “determine(s) the commitment to, and the style and proficiency of, an organization’s health and safety programs” [151, p. 194]. For others, the mechanism that shapes safe outcomes is underspec- ified, with much of the management and engineering literature debating how to operationalize andmeasure the mechanism and the outcome . As Guldenmund  notes, there is a tension between the holistic char- 63 acteristic of culture, and the reductionistic approach in most (social) psy- chological research. The debate about whether an organization is a culture (interpretive/symbolist/semiotic perspective) or has a culture (functional- ist perspective) is ongoing. Safety climate is a social-cognitive construct  that is part of col- lective sensemaking [19, 29], and has recently been defined as a multi- level (unit/group and organizational), multi-climate (safety and work- ownership) framework [362, 363] that relates to shared perceptions with regard to safety policies, procedures, and practices, including explicit and tacit patterns of action concerning safety. Hence, safety climate reflects employee perception of the priority an organization (or direct supervisor) places on safety. This framework suggests that measures of safety climate include tradeoffs between competing priorities as the “acid-test indica- tors” of managerial commitments . Employees facing both high job demands and low job control are less likely to view improving safety as part of their role orientation . The “safety citizenship”8 combination of high-safety and high-psychological ownership is considered the most beneficial, particularly in complex organizations whose processes are not routinized, and where safety rules and procedures cannot anticipate all possible contingencies. Safety “citizenship” enhances capacity to cope with uncertainty, and is a basic construct for high reliability . In health care, there are multiple ‘safety culture’, or more accurately 8Orientation toward improving workplace safety 64 safety climate surveys, that have been adapted from industries outside of health care [350, 366–369]. Most do not specify a theoretical model, and none have robust psychometric properties [16, 367, 370]. The relationship between hospital organizational culture and safety climate is not well un- derstood, but available evidence supports an association between higher levels of safety climate and higher levels of group and entrepreneurial (in- novation) culture, and lower levels of safety climate and higher levels of hierarchical culture . Despite confusion, culture matters. It is the milieu in and through whichwe come to understand ourselves and our relationship to the world. Cultural models frame our understanding of how the world works and influence both how we view patient safety and the actions we take to improve it. Cultural knowledge is instrumental in complexity reduction , shaping and narrowing understanding and sensemaking. Stories in- clude norms, “prototypical events, prototypical roles for actors, prototyp- ical entities, and more. They invoke whole worlds in which things work, actors perform, and events unfold in a simplified and wholly expectable manner. These events are chained together by shared assumptions about causality” [373, p. 20]. I understand culture to be emergent and indeterminate, “an indissolu- ble dialectic of system and practice” [374, p. 164][cited in 316]. Culture is a complex social dynamic that provides a framework for inter-subjective inter-actions. Culture is an adaptive ecological system, an interface be- 65 tween ourselves and our environment, in which actors, relational net- works and translation processes are co-constructed through interactions [375–377]. One necessary element of ‘safety culture’ is a shared understanding of the current operating point of the system and its relationship to the mar- gin of safety and acceptable performance boundaries [81, 378]. Because of scientific and technical uncertainty, all judgments are made under condi- tions of imperfect knowledge, so that routine nonconformity is a normal by-product of techno-scientific work [136, p. 279]. Normal work usually leads to success and safety. Thus, safety is an emergent property of the ways inwhich humansworkwithin sociotechnical systems , and how they create the setting in which both failure and success occur. Therefore, safety begins with efforts to understand the sources of failure AND suc- cess [81, 378]. 2.4.1 Safety Learning Central elements of ‘culture’ are sharing and learning in the co-creation of knowing. The literature of organizational learning encompasses two per- spectives: one cognitive, based on psychology and individual learning — rationalist; and the second, a social perspective, based on sociology and social learning— relational. It is common to think of learning in organiza- tions as a form of knowledge acquisition and to relate it to instruction and training. From this “banking model” perspective , learning amounts 66 to the acquisition of data “out there” to be acquired and stored in the “con- tainer/compartment” of the mind, implying a separation between actor and context . An alternate perspective presents the image of learners as social be- ings who construct their understandings and learn from social interaction within specific socio-cultural settings [118, 382–386]. Learning is viewed as the historical production, transformation and change of people: learn- ing is no longer equated with simple appropriation or acquisition, but is “understood as the development of a new identity based on participation in the system of situated practices” [381, p. 193]. Learning is thus con- ceived as a way of taking part in a social process mediated by artifacts, not as a cognitive way of coming to know. Situated learning theory is the basis of a community of practice. Lave and Wegner  developed the concept of the community of practice (CoP) as a “set of relations among persons, activity, and world, over time and in relationwith other tangential and overlapping communities of prac- tice” [385, p. 98]. The central tenant of the CoP concept is that learning is fundamentally a participative social process that takes place within a community of practitioners. These ideas are further enriched by views of power , by emphasis on networks of human and non-human ‘ac- tants’ [388–390], by activity theory [116, 382], and by looking to the trans- formational nature of collaborative endeavours . In this approach, knowledge has the following characteristics: it is situated in the system of 67 ongoing practices, it is relational and mediated by artifacts, it is dynamic and provisional, it is always rooted in a context of interaction, and it is acquired through some form of participation . When human agents try to make sense of what is happening, they begin from some place, perspective, or viewpoint — their habitus . Frames can be expressed in stories, maps, diagrams, scripts, schemas or other meaningful forms. Frames shape and define relevant data . Perception is enacted [113, 395, 396]. What we see depends on how we look . Schema guide perception and inference , and assign sig- nificance and meaning. Fragments of data are assembled into meaningful chunks or patterns, and sense is made through knowing-in-action from an interplay between tacit AND explicit dimensions [399, 400]. A frame is a hypothesis about the connections (pattern) in the data. Options for data that do not fit the current frame include elaborating or preserving the frame (explain away the data), or seeking an alternate frame (reframing). Hence, data mandates frame adjustment or change. The basic sensemak- ing act is data-frame symbiosis . Sensemaking The Data/Frame theory of sensemaking [401, 402] suggests that early con- sideration of a hypothesis (rapid frame recognition) permits both more efficient data gathering and more specific expectancies which prompt ad- justment or reframing if violated. Effective problem solvers differ from 68 other approaches by using diagnostic frames to interpret clinical data, but remaining willing to discard them when confronted with disconfirming data (reframing when the data no longer fit the frame) . Hence, it was through exploring new diagnoses — “what else could this be?” [404, 405] — and testing ones already under consideration that good performance was achieved. Whether this was a conscious cognitive forcing strategy of Popperian falsification  or metacognition [203, 269] is not known. Sensemaking “on-the-fly” takes place in parallel with evolving oper- ational action . High reliability organizations are marked by a rea- sonably accurate, precise, and shared understanding about current opera- tions and the relationship between the current “state” and the potential for failure . Shared (social) sensemaking creates and nourishes common awareness and understanding of the “operating point”, and in so doing facilitates coordination and safer performance. “Cooperative condition- ing” [cited in 407] arises through opportunities for dialogic sense- making, and increases the likelihood that shared understanding appropri- ately matches current and evolving conditions. This is an essential condi- tion for the emergence of safety. Knowing The concept and definition of “knowledge” is complex and disputed, for “knowledge” embodies a wide range of meanings and attributes that have been debated for millennia . The Greeks, for example, distinguished 69 between valid information (eidos) and opinions or beliefs (doxa), truth (noe- sis) from perception (pistis), abstractions (episteme) from practical skills (techne), political and social savy (phronesis) from cunning (metis). To both Plato and Aristotle, phronesis is the meta-virtue. The process of clinical rea- soning and the discipline of clinical medicine are often construed as techne (art), as episteme (science), or as an amalgam or composite of techne and episteme. Although dimensions of process and discipline are appropriately described in these terms, phronesis (practical reasoning) provides the most compelling paradigm, for knowledge exercised in the care of patients is a matter of narrative, practical reason . In the capacity of a “remembering in forward direction” sto- rytelling might prepare for the activation of preparedness, and because narrative is able to express a normative stance or the conflict between norms, it is subject to practical wisdom. That storytelling and dialogue used together could create awareness of the character of coming events can hardly be denied in so far as these stories and these dialogues are initiated in freedom and from the bottom [411, p. 105] Reporting systems Incident reporting is considered by many to be a core facet of patient safety. Five of the nine key recommendations from the IOM’s report To Err is Human  are directly or indirectly about reporting systems. In princi- 70 ple, reporting systems are intended to help organizations learn from expe- rience . However, even though voluntary reporting has been benefi- cial in safety-critical industries such as aviation, given the variable practice by which healthcare organizations handle reports, its impact on patient safety is unknown [413, 414]. Much of the literature on incident reporting in healthcare has focused on the barriers to reporting, along with moral- istic admonishments, particularly towards physicians, for lack of partici- pation. Less attention has been paid to whether or not reporting systems contribute to learning and lead to reducing operational failures and im- proving operational performance [415, 416]. There is limited evidence of how these systems have been used to stimulate problem solving or im- prove quality .“The Achilles heel of reporting systems [is] the flawed notion that reporting has any intrinsic value, in and of itself” [417, p. 538]. “Successful” reporting systems share the characteristics of being inde- pendent, non-punitive and confidential, while offering timely and respon- sive systems-oriented expert analysis and feedback to the operational level [77, 412, 414, 418]. An environment that fosters a rich reporting and learn- ing culture must be created to capture detailed data , yet healthcare organizations that systematically do this are rare . Hospital staff and physicians may not report patient safety events because of time pressure, lack of perceived benefit, fear of reprisal, liability, loss of reputation, and peer disapproval [420–422]. Time pressures are particularly significant in a busy ED, and any reporting process needs to involveminimal distraction 71 from time-sensitive patient care. Physicians may be more inclined to report incidents where the process of reporting is localized and integrated within medical systems of quality improvement where they have ownership. This may foster more confi- dence in the ability of reporting to make meaningful improvements . For proponents of formal reporting, the analysis of patient safety events provides information on which practice and policy decisions can be based in order to reduce future occurrences . This assumes that the inves- tigation of events is in depth and comprehensive. This assumption is doubtful. Data on multiple incidents have the potential to help identify genotypic patterns and trends, and give focus to targets for system im- provements. In turn, lessons learned can be shared, and safety practices diffused throughout the system. However, the use of reporting systems has “limited utility” . Prac- titioners often do not report patient safety incidents because they either do not recognize the threat or harm, are pressed for time, are concerned about medicolegal liability, or are worried about their reputation . Thus, incidents are significantly under-reported in voluntary reporting systems . While voluntary incident reporting likely will remain part of an or- ganization’s risk management and quality operations, it is unlikely that incident reporting alone can ever “provide a thorough picture” of all pa- tient safety incidents that occur within a HCO . Incident reporting systems in healthcare have largely failed to live up 72 to their potential for individual, collective and technical reasons. In large, the problem lies with the emphasis on reporting rather than on learning, so that the same problems (medication errors and falls) are reported over and over again. Reporting systems, as opposed to learning systems, have not advanced to “failing forward”, where learning is from new and dif- ferent problems. In addition, the emphasis has been on reporting failure and adverse events, and not recovery and/or the co-creation of success- ful clinical practice. Frontline workers are more likely to invest effort in second-order problem solving in contexts in which leaders demonstrate their commitment to problem solving. The potential for risk mitigation is an important predictor of which incident reports elicit problem solving and learning . 2.4.2 The Patient Safety and Learning System The British Columbia Patient Safety and Quality Council (formerly the British Columbia Patient Safety Taskforce) is collaborating with all six BC Health Authorities to implement a province-wide, web-based safety event reporting system. The Patient Safety & Learning System (PSLS) is a provin- cial change initiative that is intended to support the reporting and analysis of incidents across the continuum of care and spectrum of patient safety incidents, including hazards, near misses and critical incidents, to facili- tate system-wide learning from experience and help to create and nurture a culture of safety. The commercial software application that PSLS will use 73 can be configured to meet the specific reporting, notification and analysis requirements of different care domains and organizational structures. It was implemented at two pilot sites in 2006 to prove concept, and is cur- rently being implemented provincially. The analytic expertise, capacity, and feedback, however, is uncertain. The PSLS will depend upon the cur- rent structure of reporting to an operations leader or their designate. 2.5 Making Sense of Safety Achieving a ‘safety culture’ hinges in part on our ability to know how to learn from the successes AND failures of our adaptations to cope with complexity. How we think about safety, in turn, influences how we iden- tify and analyze threats and hazards (risk). How we think about safety depends on our accident model. How do accidents happen? Systems thinking is about relationships and integration. Socio-technical systems are a complex web of dynamic, evolving relationships and trans- actions. Rather than linkages (mechanical), it sees mutually interdepen- dent interactions. Emergent properties do not exist at lower levels, and are destroyed when the system is dissected as isolated components. Hence, as Dekker  argues, there is a need for a functional, ecological model, that is sensitive to the creation of deficiencies, not just their eventual presence, that makes a socio-technical system come alive. It must be a model of process. Reconstruction of the environment in which decisions are shaped, and 74 in which local rationality is constructed, can help penetrate processes of sensemaking that are fundamental to organizational learning and adapta- tion. Drifting into failure is not so much about breakdowns or malfunc- tioning of components, as it is about an organization not adapting effec- tively to cope with the complexity of its own structure and environment [see 428]. It is also about taking past success as an indicator of success in the future, as well as altering work to achieve other organizational goals, such as the trade off between production and safety. Organizational re- silience is not a property, it is a capability to recognize the boundaries of safe operations, a capability to steer back from them in a controlled man- ner, and a capability to recover from a loss of control if it does occur . 2.5.1 Accident Models Models inform accident investigation and analysis by imposing patterns on the event and influencing the data collected and the factors identified as causative. They may either filter events and conditions or force con- sideration of factors that are often omitted by encouraging and guiding a comprehensive analysis [379, 429]. As argued by Rasmussen and many others, devising more effective accident models will require shifting the emphasis in explaining the role of humans in accidents from “error” (de- viations from normative procedures) to focus on the performance-shaping mechanisms and context in which human actions take place and decisions are made. 75 Three categories of accident models frame most accident analysis : 1. Simple linear models, such as the Domino model , focus on cause-effect in event chains. Safety fails if a component fails. This is a mechanical model that works in well described linear systems. 2. Complex linear models, such as the Swiss Cheese metaphor , focus on unsafe acts and latent conditions. Safety fails if barriers fail in concert with unsafe acts. This is a linear model that accounts for some interactions in organizations. 3. Systemic non-linear models, such as the Functional Resonance Ac- cident Model , focus on how normal events and variations can combine and give rise to unexpected, and sometimes bizarre9, ad- verse outcomes. Safety is an emergent system-level property of complex, dynamic socio- technical systems, which makes feedback critical in order to provide adap- tive control . Systemsmodels focus on the performance-shapingmech- anisms and context in which human actions and decisions take place, and account for interactions among decision makers and the overall decision- making process throughout the socio-technical system [378, 431]. 9Brian Sinclair’s death from treatable causes after waiting 34-hours in an ED  76 2.5.2 Complexity A major focus of health services research and quality improvement is re- duction of variation. Standardization is a key dimension of quality . These well meaning interventions are often based on a linear Newtonian paradigm that assumes input reliably leads to proportionate response. However, healthcare is not a Newtonian world . Modern HCOs are complex systems  marked by dynamic nonlinear interactions . No individual agent can ever know or understand everything that is oc- curring; small changes can lead to large effects, and big changes can lead to small effects. Each complex adaptive system (CAS) is unique because of five fea- tures: 1. History and initial conditions 2. Particular agents and their unique styles and interests 3. Pattern of nonlinear interactions among agents 4. Local fitness landscape (ecological niche) and its particular expecta- tions, community values, competitive issues, and ecology 5. Regional and global influences, such as the larger health care system, finances, regulations, and culture As agents of any CAS interact, novelty and surprise emerge in unpre- dictable ways. Emergence creates a system that is greater than the sum 77 of its parts, which cannot be understood through a reductionist examina- tion of practice . An individual ED is a unique socio-technical system that emerges in interaction when care providers and staff (agents) come together with ev- eryday goals, preferences, and priorities (initial conditions) within a local context (local fitness landscape) that in turn is impacted by regional and global influences. Practices, however, share a cultural and historical con- text, and have much in common because of their common goal of seeing patients. From this perspective, variation in EDs is a powerful source of creative possibility and good clinical practice. Two strategies foster cre- ativity: sensemaking and improvisation (bricolage). Sensemaking is a so- cial activity that requires interaction among agents . Improvisation can be described as intuition guiding action in a spontaneous way , not as a random guess at what to do, but the result of using high levels of expertise to act in the moment [438, 439]. The traditional, largely unsubstantiated, view is that the best way to improve care is to eliminate variation. A view of practice informed by complexity science suggests otherwise. In a CAS, agents in practices create responses to changing circumstances — they improvise, or play “practice jazz” . Jazz players are often seen as role models of sensemaking and improvisational behaviour (bricolage) . They know a general musical structure, and within that they create jazz. All players have an interdepen- dent responsibility to create good jazz. Dealing with the uncertain nature 78 of a CAS involves thinking in terms of making sense of what is emerging. It involves building on emergent characteristics of the CAS to develop pat- terns of social interaction  among agents that give them confidence in each other, and enhance their capacity to learn from unpredicted events . EDs are urged to eliminate variation in practice, to implement guide- lines, and to diagnose and treat in specific ways. However, successful practices are those that make good sense of what is happening, and effec- tively improvise. Small changes can have large results in some settings, while large efforts may lead to mediocre results in others. Complexity theory offers a framework for understanding these phenomena in prac- tice. Seeking to eliminate “error” by dampening all variation through the imposition of standardization and external controls is unlikely to be effec- tive. Efforts to improve practice are best served by focusing on improving care as a whole and on developing the skills of relationship-centered care and reflective practice . 2.5.3 Resilience Until recently, the dominant safety paradigm was based on searching for ways in which limited human performance could degrade an otherwise well designed and “safe system”. The normative view is that the best way to improve the quality and safety of healthcare delivery is to elimi- nate clinical variation by standardizing “best practice”. This view is pred- 79 icated on the positivistic and reductionistic assumption that care is based on repetitive (linear) processes, that relationships between cause and ef- fect are knowable, and that “best practice” requirements can be accurately specified ex ante. According to this paradigm, “error” is something to be categorized, counted and reported. As a result, there have been numer- ous proposals for taxonomies, estimation procedures, and ways to cap- ture data for tabulation and extrapolation. Since humans, as unreliable and limited system components, are assumed to degrade system perfor- mance, this paradigm often prescribes automation as ameans to safeguard the system. In other words, in the “error counting” and “root cause” paradigm, safety work comprises protecting the system from unreliable and limited human components. However, safety is not a commodity that can be tabulated . Safety is a dynamic non-event . In a world of finite resources, of irreducible uncertainty, andmultiple conflicting goals, safety is created through proac- tive resilient processes, rather than reactive barriers and defenses . Hollnagel , argues for the need of a theory of action, including an ac- count of performance variability, rather than the theory of “error”. Studies of how complex systems succeed and sometimes fail find that formal de- scriptions of work (work-as-planned)— embodied in policies, regulations, procedures, and automation — are incomplete as models of expertise and success (work-as-done). Resilience engineering is a paradigm for safetymanagement that builds 80 on advances in understanding complex adaptive systems, high-reliability organizations, and how people adapt to cope with complexity in joint cog- nitive systems to achieve success. The first concept is adaptive capacity, or how an organization copes with disruption, change and pressure. One of the key vital signs is how practitioners make tradeoffs under production pressure. If practitioners are reluctant to sacrifice production, or if peers or management react negatively when production is sacrificed in order to reduce potential risk, then the department is brittle . Another safety vital sign is seen in how well people can cross-check people across roles, and particularly higher status or authority roles. The capacity to adapt and respond to challenge resides in part in the habitus of practice, that is, the expertise, strategies, and tools practitioners use to prepare for and re- spond to evolving circumstances. By optimizing their processes formaximum efficiency in the short term, organizations become brittle . Routinization enables organizations to exploit their accumulated knowledge, increasing efficiency. Yet at the same time, routinization creates a risk: when organizations are guided by old knowledge, they do not create new knowledge. Ambidexterity between exploitation and exploration requires operational processes that combine high levels of efficiency with the flexibility to evolve and improve over time. As the efficiency oriented focus of process management spreads to centres of innovation, it increasingly stunts an organization’s dynamic capabilities . 81 Monitoring and managing resilience or brittleness is concerned with understanding how the system adapts to operational demands, including properties such as [444, p. 22-23]: • Buffering capacity: the size or kind of disruption the system can ab- sorb or adapt to without a fundamental breakdown performance; • Flexibility versus stiffness: systems ability to restructure itself in re- sponse to external changes or pressures; • Margin: how closely or how precarious the system is currently oper- ating relative to one or another kind of performance boundary; • Tolerance: how a system behaves near boundary – whether this sys- tem gracefully degrades as stress/pressure increases or collapses quickly when pressure exceeds adaptive capacity; • Cross-scale interactions: relate to how a system defined at one scale depends on influences from systems defined at other scales Resilience is the ability to steer the activities of the organization so that it may sail close to where accidents will happen, but always out of that dangerous area.10 This implies a very sensitive awareness of where the or- ganization is in relation to danger, and a very rapid and effective response when signals of approaching or actual danger are detected,11 even unex- 10Sailing at the edge of going into irons when sailing close hauled 11Tell-tales are a sailor’s friend when sailing against the wind 82 pected and unknown ones. Training, often used to prevent errors, can cre- ate them; information richness introduces inefficiency, too little produces inaccuracy; teams have multiple points of view that enhance safety, but as they become a cohesive group they share assumptions, so the “requisite variety” important to safety is lost [136, p. 297]. Variety is the novel and positive side of chaos, and variability in per- formance is a source of variety. Human action is the local optimization of the gap between normative rules and situated performance. EDs are dy- namic, open, high hazard, continuous operating systems that demonstrate considerable resilient capacity , but often perform in less resilient, more brittle ways . EDs have adapted to the problem of overcrowding in a variety of ways, such as dedicating entire units to inpatients, adapt- ing previously unused space such as hallways to use as treatment spaces, and dynamically changing the manner in which work is performed. As overcrowding has increased in severity, this adaptive capacity has become strained, and is near a point of complete breakdown . Reliable outcomes require the capability to sense the unexpected in a stable manner and yet deal with the unexpected in a variable manner . The process of sensemaking is stable although the adaptive perfor- mance is variable. Hence, sensemaking is essential to resilience. Focusing on improvisation in non-routine action renders plain the need for wari- ness and adaptation (reflection-in-action ). Sensemaking is a process of structuring the uncertain, a complex interaction of seeking information, 83 ascribing meaning, and action. That is, sensemaking is the interplay of action and interpretation . Thus, to explain failure, we must seek to understand how people’s assessments and actions made sense at the time, given the circumstances that surrounded them . Improvisation, using a frame to initiate sensemaking of incoming data, but “holding tools lightly” and discarding as needed if data are incongru- ent, implies humility not hubris. Resilient organizations foster capability to anticipate, attend, act, and adapt. The ability of an operation to re- configure spontaneously in demanding situations is a key characteristic of high-reliability organizations . Thus, there is an inherent tension between prescription and practice. In a field of practice, prescription of- fers a space of affordances and constraints, but must be applied in context. Human action is repetitive, but in the sense of re-enactment in analogous situations . Healthcare can be described as “cooperative” sequential care rather than collaborative care . Delivery of care is unfortunately all too of- ten characterized by failures to interact across traditional hierarchical and professional barriers, competition for control, and silo thinking. But we excel in coping with emergent and complex situations when we acknowl- edge that individual expertise is necessary but insufficient to make sense of and adapt to the demands of a case. In recognizing the distributed cog- nitive system, we are more resilient in anticipating and acting in evolving circumstances. Informal, shared and negotiated decision making allows 84 for novel and effective strategies to emerge, and sensemaking frames or perspectives to be shifted . Study of successes and failures within healthcare may elucidate the conditions, features and characteristics nec- essary for sustained resilience in clinical care. System performance is related more to interactions than to elements. The work of a hospital ED can be seen both as a CAS, as well as part of a larger complex system, where operational performance is heavily inter- dependent upon other hospital departments and outside agencies . That is, an ED is “tightly coupled” and interdependent on the perfor- mance of other departments such as laboratory and diagnostic imaging. Delays or failures may interact and resonate across the nexus of inter- departmental practices, and create far reaching and unanticipated threats to safety . Hence, appreciation of and co-ordination with these cross- scale inter-dependencies contributes to a more adaptive and resilient sys- tem. Resilient adaptations at the department level can create additional haz- ards and failures at the organizational level and vice versa (cross-scale interactions). At any level of the organization, actors are situated and bounded, and are inherently limited in their ability to assess the poten- tial interactions and resonance with adaptations on levels other than their own. The ED system is innately resilient, flexible, responsive, and tolerant of uncertainty. In contrast, the ward system maximizes predictability and regularity at the expense of flexibility and expedience . Both systems 85 have adapted to their local ecological landscape. The ward system is brit- tle in the ED, even as the ED system is brittle on the wards. Hence, the conflict created by using both systems simultaneously in the same work space has led to complex systems failures and threatened patient safety . 2.6 Paradigm of Inquiry Culture emerges out of our conversation (discourse) and “practice”. It is enacted in what we say and do in our interactions with each other. It is the interstitium that we share. Much has been written in philosophy, so- ciology, and psychology about how people explain their actions to them- selves and to others through stories. Rather than offer principles, rules or reasoned arguments, we tend to account for our actions through nar- rative: sequences of statements connected by both a spatial-temporal and ethical-moral ordering . Language reflects and sustains organizational and cultural arrange- ments at the same time as it accomplishes social action. In other words, “stories people tell about themselves and their lives both constitute and interpret those lives; stories describe the world as it is lived and under- stood by the storyteller” [459, p. 198]. Narrative is constitutive of social life, even as all aspects of the social world are storied. To examine action outside of the narrative that constitutes it, is to distort through abstrac- tion and decontextualization, depriving events and persons of meaning 86 [25, 73, 110]. Vygotsky, Giddens, and Bourdieu focus on action (practice) as the re- cursive point of intersection between human agency and social structure. “Practice”, like risk and safety, has multiple meanings; here, I refer to “practice” as the way something is done, as in the “logic of practice” . The turn to practice is tied to an interest in the “everyday”. Practice the- ory is a type of cultural theory, where the social is localized in practice, as opposed to mind, discourse, or interaction. Practice is a “nexus of doings and sayings”; therefore, any analysis of practice must offer an account of action [460, p. 90]. To insist that the bedrock of all order and agreement is agree- ment in practice is to cite something public and visible, some- thing that is manifest in what members do. Moreover, accounts of order and agreement that refer to practice presume not pas- sive actors but active members, members who reconstitute the system of shared practices by drawing upon it as a set of re- sources in the course of living their lives. Accounts of this kind are more satisfactory empirically than passive actor theories [95, p. 17] Taking practice seriouslymeans considering its unique and radical char- acter as engaged and contextually situated activity [31, 96, 461]. Practice originates from non-deliberative, background understandings embedded in our cultures and relationships [399, 462]. In this sense, practices are 87 more pre-theoretical than theoretical, more concrete than abstract [463– 465]. Hence, what is ontologically real and has being in practice cannot be understood apart from its relations to other aspects of the context. In- deed, practices do not exist, in an ontological sense, except in relation to the concrete and particular situations and cultures that give rise to them, implying what might be called a relational ontology . Thus, “the bureaucratization of safety is counter-intuitive” [466, p. 211]. In order to act collectively, we adopt simplifying assumptions that limit our imagination on risk and safety , and yet organizations rarely ac- knowledge the importance of this interweaving of work, perceptions and attitudes and the need to develop ad hoc strategies to deal with context- specific problems. The view of ‘safety culture’ as a unitary phenomenon has led to theorizing of organizational models based principally on com- mand and control and on a bureaucratic culture, thereby undervaluing the empirical evidence yielded by numerous studies (from the Cuban Missile Crisis to Challenger ) that have shown conflicts of interpretation and differences in priorities with regard to safety practices between manage- rial and operational levels. Recognition of a plurality of ‘safety cultures’ embedded in work practices may lead to consideration of safety as a social practice which springs from the interdependence among human, organi- zational and institutional actors, technological artifacts and situated con- versations. Hence, exploration of the broader issue of how human agents engage in practical activities begins with actions [140, 469]. 88 High reliability in certain complex organizations has been explained as a characteristic of ‘collective mind’ . Here, mind is understood as a style of action — a pattern manifested in action. Even as individual mind is “located” in the specific activities individuals engage in, so ‘col- lective mind’ is manifest in the manner in which individuals inter-relate their actions. More specifically, Weick and Roberts argue [140, p. 363] that individuals “construct their actions (contribute) while envisaging a social system of joint actions (represent), and interrelate that constructed action with the system that is envisaged (subordinate).” Individual contri- butions and the collective mind are mutually constituted: a contribution helps enact collective mind to the extent to which it is “heedfully” interre- lated with the imagined requirements of other contributing individuals in a situation of joint action. Hence, collective mind is an emergent joint ac- complishment that is constituted as individual contributions becomemore heedfully interrelated in time. Collective mind is therefore a distributed system, known in its entirety to no one [140, p. 365]. The actions of an emergency care provider are part of a complex practi- cal activity which involves the intentional use of both language and tools. A pattern can be discerned by looking at actions over time: there are regu- larities in behaviour that function as normative constraints, and acquired skills which enable engagement in the normatively bound activity that practice entails. However, the “application of rules cannot be done by rules” [470, p. 89 83]. No set of rules can ever be self-contained and complete. Thus ev- ery act of human understanding is essentially based on an unarticulated background of what is taken for granted [471, p. 47]. Misunderstandings arise when we lack a common background in which case we are forced to articulate the background, and explain it to ourselves and to others. To accept this view, means that the common sense view (or ‘representa- tional’ or ‘rationalist’ view) that the world “out there” is understood by forming representations of it “inside” our minds, which we subsequently process, is seriously deficient [472, 473]. It does not mean that we never form representations of the world, but that such representations are “is- lands in the sea of our unformulated practical grasp on the world” [471, p. 50]. According to this view, the human agent’ s understanding resides, first and foremost, in the practices in which he/she participates. The locus of the agent’s knowing is not in his/her head but in practice, that is to say, his/her understanding is implicit in the activity in which he/she engages. A navigator, for example, does not form explicit representations of his instruments. His ability to act comes from his familiarity with navigating a ship, not by his representation of the navigation instruments in his mind . His world is “ready- to-hand”  through social activity in which he, the practitioner, is engaged. In addition, when I am aware of some- thing, I know it as a whole, by integrating certain particulars, which are known by me subsidiarily [399, 462]. I integrate the particulars tacitly, and acquire particular skills through training in order to relate to the world in 90 certain ways [462, p. 31]. Therefore, social activity or practice (e.g., nav- igating, nursing, medicine, and not the cognizing subject, is the ultimate foundation of intelligibility [469, 474]. It is the “active presence of the whole past”, that gives social practices both a continuity and “a relative autonomy with respect to external deter- minations of the immediate present” [96, p. 56]. “In other words, history leaves its marks on how actors see the world; every time we act, we do so by means of the habits of thinking we acquired through our past socializa- tions. At any point in time, our habits of thinking have been historically formed through our participation into historically constituted practices” [469, p. 104]. Thus, to understand why practitioners act the way they do, we need also to inquire into their habitus. It is through the joint activities of framing, and reframing, that actors arrive at a joint problem definition. From this social practice, a common language and new sense of community can emerge, opening up possibil- ities for innovation, and fostering learning and change [475, 476]. Actors are not isolated, but are part of a social network, and any problem defi- nition or action choice influences and is influenced by other actors . Hence, the social context in which the subject is embedded, or the com- munities of practice in which the actor takes part, shape the way in which a problem is understood and the meaning that is given to it . From a relational perspective, uncertainty impinging on a decision sit- uation has no meaning in itself, but acquires meaning through the rela- 91 tionships established between the decisionmaker and the socio–technical– environmental system. The decision maker operates at both the content and relational levels. In this way, the definition of a problem and what is uncertain about it depends not only on scientific or expert understanding, but on the knowledge, views, and preferences of the decision maker in relation to those of other actors with whom the decision maker interacts to make sense of the situation . Uncertainty, then, becomes a prop- erty of how an individual in a social context relates to a system through certain practices and activities. A more effective way of dealing with un- predictability is to create capacity, through learning and adaptation, to re- spond flexibly and effectively to changing and unknown conditions, that is, by fostering resilience through collaborative governance. 2.7 Summary The history of patient harm is long, but it is only in the past decade that safety in healthcare has garnered worldwide attention. Thinking about safety in other safety-critical industries has a much longer history, and healthcare continues to have much to learn. In this overview, I have con- sidered the problem of patient harm in hospital EDs and pointed to the difficulties of the “error counting” strategy. I have briefly reviewed four vulnerabilities in emergency care — capacity, cognition, communication, and collaboration — and have demonstrated the need to understand the collective, embedded, and distributed nature of work in an ED. I have 92 also reviewed the construct of ‘safety culture’ and noted the theoretical and practical difficulties of “measurement”. I then reviewed safety learn- ing and ways of making sense of safety by considering different accident models, including the concepts of complexity and resilience. Finally, I sit- uated my perspective in the body of practice theory. 93 The whole is more than the sum of the parts Metaphysica Aristotle Chapter 3 Methodology In this dissertation I invoke an ethnographic strategy to construct a “thick” story of how patient ‘safety’ is created in the everyday practices of a hospi- tal emergency department. From a hermeneutic phenomenological stance, I grasp the situation in which human actions make (or acquire) meaning [479, p. 296] in order to claim I have an understanding. Interpretive views are necessarily partial, indeterminate, and co-constructed. I recognize that there are multiple tellings and retellings of stories about safety in the de- partment, and it is in telling of these stories that I claim to render a “thick” description, however partial or indeterminate my description remains. I sought to listen to the voices of my colleagues — including nurses, physi- cians, technical and clerical staff, and leaders — to explore the ways in which they make sense of ‘safety’ in their everyday practice, and to re- main open and reflexive to the stories and narratives they shared. 94 Patients, families, nurses, physicians, staff and administrators are all involved in activities that co-participants must anticipate and interpret under the urgent pressure of emergency care delivery, as well as during more reflective times of charting, meetings, breaks, and walks home. My objective was to understand the complexities of hospital emergency care and to explore how care providers create ‘safety’ in their everyday prac- tice. My underlying premise is that any efforts to change practice should be preceded by efforts to understand it and “tell it like it is”, emphasizing the real, not the ideal. In this chapter I outline the elements of my research design. First, I describe the research setting and the participants involved. Next, I offer a brief overview, and declare my philosophical assumptions and values. I then review the issue of measurement and assessment of safety climate and ‘safety culture’ before explaining the methods of data collection and data analysis for the multiple methods I used: ‘safety culture’ survey, in- depth interviews, focus groups, document analysis, and observations. 3.1 Setting I conducted this 35-month ethnographic inquiry at a 550-bed acute care, academic and research hospital located in the downtown core of a major Canadian urban centre. The hospital operates as a publicly funded insti- tution within the Canadian regulatory, economic and socio-political envi- ronment, and provides quaternary, tertiary and secondary care to the local 95 community and patients from across the province. The ED has roughly 60,000 visits per year, and is a district trauma centre (no neurosurgical ser- vice) that handles trauma cases with an Injury Severity Score of less than 15 (primarily penetrating trauma). The hospital has a longstanding history of providing care to socially and economically disadvantaged populations. The department footprint is chromosome shaped with the entrance and triage at the centromere. Care is provided in 5 spatially discontinuous treatment areas (6 including the waiting room and hallways) totalling 48 care spaces (beds and chairs). The department is staffed by nurses, physi- cians, and staff (unit coordinators, porters, ward aides, technicians, social workers), with support from hospital technicians and clerical staff, and contract services (housekeeping and security). Major renovations of the ED were ongoing during the course of the study and impacted the timing and nature of data collection (focus groups and observation periods). 3.1.1 Gaining Access I did not access the field, for I was already in it. Fully situated as a “com- plete member” of the department  in my position as an emergency physician, I occupied the “third space” between insider-outsider in a place of paradox, ambiguity and ambivalence . I was firmly in all aspects of the research process, and carried it with me. I was as much a part of it, as it was a part of me. I worked clinically alongside periods of data col- 96 lection, often on the same day, but never at the same time. Thus, I moved between roles as a clinician and as a researcher. This generally presented few challenges, apart from sleep deprivation and fatigue, but I did find that some staff avoided me during the communication observation phase. I was dubbed a “corporate spy”, and conversations were muted or “put on” within the range of the microphone. In one instance a nurse pulled me aside to suggest that the individual who I had shadowed on an earlier occasion had been “unusually nice”, and on another occasion the partic- ipant I was shadowing made an effort to interact and keep busy. This Hawthorne effect impacted the social aspect of the communication obser- vation, but based on my experience, did not appear to impact my core observations (clinical and operational communication), for these aspects of work were in large driven by flow and demand. 3.1.2 Participants Over the three-year study period 85 individuals in the department and organization participated in one or more of the data collection phases [see Table 3.1]. Samplingwas purposive to reflect a broad range of perspectives and voices . The participants represented emergency nurses, unit coordinators, technicians, social work, administration, clinical and oper- ational leaders, educators, physicians, and learners. Hence, participants were from within the department, in leadership, clinical, clerical, techni- cal, support and educational roles, and from outside of the department in 97 organizational administrative roles. Relative new-comers and long stand- ing members were included, as well as those who had extensive experi- ence in other EDs around the world. Role Number Proportion Emergency Nurse (including licensed practical nurse and registered psychiatric nurse) 31 0.36 Emergency Nurse Leader (including operations leader, clinical nurse leader, nurse educator and nurse clinician) 12 0.14 Emergency Staff (including unit coordinator, clinical assis- tant, admitting clerk, porter and social worker) 15 0.18 Emergency Physician (including emergency medicine res- ident) 24 0.28 Administrator (including senior leadership team) 3 0.04 TOTAL 85 1.0 Table 3.1: Participants by organizational role 3.1.3 Ethics The study was approved by the Behavioural Research Ethics Board at the University of British Columbia, and by the UBC/Providence Research Ethics Board in 2005. Amendment for the revised focus group discussions, and addition of the communication observation strategy, was approved by the UBC/Providence Research Ethics Board in 2008. Ethics approval cer- tificates are located in Appendix B. 98 3.1.4 Timeline ‘Questerviews’1 were conducted between February 2006 and September 2007, following regional implementation of an Over Capacity Protocol (OCP) in January 2006. OCP was a system reaction to patient deaths in the emergency department waiting room in summer 2005. The organization conducted an organization-wide patient ‘safety culture’ survey in Novem- ber and December of 2007 following Accreditation 2007. Focus groups were conducted between June and August 2008 during major departmen- tal renovations, and coincident the departure of nursing and physician leadership, while the observation periods were conducted in November and December 2008 during the transition into the newly renovated acute side of the department. 2005 Funding/Ethics ‘Questerviews 2007 Survey 2008 Groups Observations Figure 3.1: Timeline 3.1.5 Unit of Analysis The unit of analysis is the activity system of an historical, socio-technical, and culturally situated hospital emergency department. 1A health services research strategy of using validated, standardized self-completed survey questions in an in-depth interview  99 3.2 Methodology I conducted a multi-perspective, multi-method (qualitative, quantitative, mixed) practice-based ethnographic enquiry over a 35-month period be- tween February 2006 and December 2008. I employed multiple strategies to collect and analyze artifacts (electronic records and documents), per- ceptions (survey, ‘questerviews’ , and focus groups), and patterns of interaction (observation and audio) related to safe patient care in the emer- gency department. I draw pragmatically and eclectically on positivist, in- terpretive and recursive approaches in this ethnography of situated work, apply interpretive synthesis to approach tension and incommensurabil- ity, and use narrative to summarize key methods and findings. My pur- pose for utilizing multiple methods is complementarity and comprehen- sion , rather than triangulation or validity. I examine ‘safety culture’ from various angles to provide a “rich and deep” appreciation of its com- plexity and to provide scope for refining our understandings. 3.2.1 Philosophical Assumptions and Values Ontology I assume there are multiple realities and frames employed by social actors in making sense of their own activities and those of others. Each partic- ipant’s interpretation is recursively constrained and shaped by practices that occur in the context of specific social relations, physical surround- 100 ings, modes of communication, bureaucratic structures, and prior insti- tutional assumptions. Hence, my ontology lies between an interpretivist (hermeneutic) and a recursive (participatory) paradigm. Epistemology I assume knowledge is context dependent, embodied and enacted in prac- tice. My findings emerge out of participants’ inter-action within the situ- ated socio-technical activity of clinical practice. Role and reflexivity I position myself as a reflexive co-producer of action in this socio-technical system. I am a white male emergency physician with a decade of “insider status” and active, first hand experience of the ethnographic setting. As such, I collected data as an immersed participative observer located in a community of practitioners within a hospital ED. I gathered data with my colleagues across a range of sources and made note of my own thoughts and feelings as I encountered the data. I hold no administrative or edu- cation portfolio, but as an emergency physician, I acknowledge my privi- leged position within the hierarchical structure of the department. That is, I am in an equal and collegial position with my physician colleagues, but am in a position of formal power with regard to nurse and staff colleagues. I engaged ‘questerview’ co-participants in a conversation about patient safety using the Hospital Survey on Patient Safety Culture (HSOPSC) [see Section 3.5.3, Appendix A]  to facilitate and guide our dialogue. The 101 dynamic was dialogical and reciprocal. I invited co-participants to explore their responses to the HSOPSC with me, as well as other ‘safety’ issues they felt were relevant. I offered alternative wordings to probe their per- ceptions, and encouraged them to reflect critically on their interpretation of the meanings behind the statements. I also sought their stories or ex- periences and shared readings or experiences that I had. When presented with a “you know” characterization, I acknowledged that I had an opin- ion, but noted that I was a learner and did not know their perceptions. Hence, I was interested in their experience. I allowed participants to con- tinue until they were finished, and to end the interview on their schedule. I was less directly involved in the group discussions and observations. I remained silent through much of the focus groups, and relied on the fa- cilitators to guide the discussion. Likewise, during the communication observation periods I stayed at a respectful distance, but engaged partici- pants in conversation at their initiation, or if I needed to clarify. Axiology I assume the value-laden nature of socially co-constructed knowledge. I am not a disinterested party. The ‘safety’ of patient care in the ED is a practical, ethical and moral public health issue. I undertook this journey to engage my ED colleagues in a reflexive conversation on ‘safety’ with the aim of transformation. 102 Lens I explore how ‘safety’ is created in everyday practice through the lens of practice theory within the recursive paradigm. I recognize multiple ver- sions of ‘safety’ as expressed in participants’ perceptions and practices, and consider a collective view of ‘safety’ as located in situated practice within the historical, socio-technical, and cultural contexts in which inter- action occurs, and where practitioners create meaning together. 3.3 Methods In this section I present an overview of methods used, then follow with a review of methods for measurement of safety climate and ‘safety culture’. I then present detailed description of methods for each phase, including ‘questerviews’, focus groups, surveys, and observations. 3.3.1 Data Collection I used concurrent and sequential mixed method data collection strategies to collect and compare structured and unstructured qualitative and quan- titative data on perceptions of safety and patterns of interaction in the ED. The data were collected and analyzed iteratively using a four-phase ap- proach beginning with ‘questerviews’, followed by the organizational sur- vey, focus groups, and observation. This pragmatic strategy offers a deep understanding of survey responses, as well as a detailed assessment of patterns of responses . The total time of primary data collection was 103 greater than seventy hours [see Table 3.2]. Phase Number Time ‘Questerviews’ 26 40 hours, 29 minutes Focus groups 4 6 hours, 13 minutes Observations 15 24 hours, 56 minutes TOTAL 45 71 hours, 38 minutes Table 3.2: Transcribed interview and observation time by study phase 3.3.2 Data Analysis I attended to how participants constructed the meanings of their actions in their everyday practices, and reflected on the contrasts and comparisons within and across participants, time, and activities, to build interpretations that are grounded in the data. The research is grounded in the ongoing narrative of professional practice and offers clues to the values and be- liefs that are culturally determined but not explicitly articulated. Inquiry into the experiences and perspectives of emergency healthcare providers permitted description and analysis of the context of normal operational performance. I examined relationships between and among actors and actions, and sought an emic2 understanding of safety in everyday practice. 2An insider account 104 3.4 Measurement or Assessment of Safety Climate/Culture I explored concepts, theories, models and definitions of safety climate and ‘safety culture’ in Chapter 2. I turn here briefly to measurement and as- sessment. The majority of ‘safety culture’ research in industry [335, 338] uses survey instruments to collect individual perceptions, attitudes and beliefs to assess coherence and commonality. Although there have been many attempts to develop an instrument to measure safety climate and ‘safety culture’ in safety-critical industries, including healthcare, the act of measurement implies some degree of observability and comparison to some agreed upon reference scale, which raises the question if ‘safety cul- ture’ can be measured at all . There is a tension between the holistic character of culture and the reductionistic approach of measurement, and no measurement approach has universal agreement. Several reviews of safety climate instruments in safety-critical indus- tries [309, 335, 336, 340, 485, 486], including healthcare [366, 367, 487, 488], have been published in the past decade. This strategy is the quick and dirty “wet finger” to find out which way the wind blows . Safety climate is more superficial and transient than ‘safety culture’ and ques- tionnaires can only provide a “snapshot” . There is a large variety in factors (dimensions and scales) that make up the safety climate concept [335, 338, 485], and the variance created by the “dirtiness” of question- naires may obscure shared assumptions if groups are not large enough to 105 average out random influences . In healthcare, there are multiple ‘safety culture’, or more accurately safety climate surveys, with many adapted from safety-critical industries outside of healthcare. Most do not specify a theoretical model, and none of the currently available instruments has adequate psychometric properties , including the Hospital Survey on Patient Safety Culture [15, 370, 489], and the Patient Safety in Healthcare Organizations [16, 368]. Poor psy- chometrics may result from potential or inherent imprecision in the con- struct, context specificity, or the need for a more theory-driven construct in healthcare . Furthermore, blunt survey instruments can only capture the superficial level of safety climate, necessitating more anthropological and qualitative strategies to begin to describe ‘safety culture’ . Hence, I chose to use a ‘safety culture’ survey instrument as a semiotic tool using the ‘questerview’ strategy to explore how emergency care providers con- ceptualize and make sense of patient safety. 3.5 ‘Questerviews’ The aim of this phase was to develop a detailed description of local and contextual knowledge around patient safety, as well as the assumptions, beliefs and values that allow emergency health care providers to interpret patient safety incidents and to assign meanings to those events. In-depth, semi-structured interviews with emergency care personnel and decision makers using standardized self-completed survey questions  from the 106 HSOPSC  were conducted to explore themechanisms and situated in- teractions bywhich safety is constructed [143, 491], and the cultural factors and beliefs that encourage or discourage the identification and reporting of unintentional unsafe acts and adverse outcomes in emergency health care delivery. ‘Questerviews’ offer a pragmatic way to integrate qualitative and quan- titative methods, and differ from other semi-structured interviews and verbal questionnaires in that the stimulus material is a standardized quan- titative survey instrument, to which participants are free to explore their responses, as well as other salient issues they deem relevant. Use of stan- dard measures within in-depth interviews consistently provokes narra- tives that are both complex and illuminating , whereby qualitative interview data can help explain quantitative data by digging below sur- face observations. 3.5.1 Recruitment and Sampling Apurposive ‘vertical’ sample of twenty-six urban, tertiary care emergency department care providers with varying roles and levels of experience (nurses, physicians, resident, social worker, technician, and unit coordi- nator), and four administrators (departmental and organizational) was re- cruited in order to contribute to a data set that is sufficiently broad and deep, complex and rich. 107 3.5.2 Ethics Interview participants were informed of the nature of the study and pro- vided written consent prior to participation. All identities were deleted, and all data was marked by code and kept in a secure, locked location. Digital files were kept on a password-protected computer. Avenues for obtaining professional counselling or support were offered to each partic- ipant. 3.5.3 Instrument TheHospital Survey on Patient Safety Culture (see Appendix A) is awidely used [366, 367, 370, 489, 492, 493] 42-item survey developed under spon- sorship of the Medical Errors Workgroup of the Quality Interagency Co- ordination Task Force and funded by the Agency for Healthcare Research and Quality. It is designed to measure 2 overall patient safety outcomes and ten dimensions of workplace culture related to patient safety . Of the 42 items, 17 are asked from a “negative” viewpoint and are subse- quently reverse-scored. Factor structure is acceptable, but differences have been demonstrated across healthcare systems [15, 370, 489]. Although not psychometrically robust, the instrument is nevertheless “standardized” in that it is widely used and the statement wording is constant across time and place. Thus, the primary value of the instrument is as a semiotic stim- ulus . 108 3.5.4 Data Collection I interviewed healthcare providers, support staff and decision makers in the ED and organization where I work to explore and describe how we make sense of our work in light of the challenges and competing demands we face, to understand how safety is created in the everyday practice of emergency care, and to understand the barriers to talking and learning about unintentional unsafe acts in the process of healthcare delivery in the ED. I conducted 22 interviews with front line ED healthcare professionals and decision makers to explore their experiences and perceptions of safety within our work environment. An additional 4 interviewswere conducted with emergency physicians and nurses at another urban academic tertiary care ED to compare major themes. Statements from the HSOPSC were explored in conversation following the method of ‘questerviews’ . ‘Questerviews’ are a mediated three- way interaction between researcher, participant, and semiotic tool (acts as a template of the learning context, a record of discussion, and a stimulus for talk and elaboration). The technique aims to gather information on participants’ attitudes and beliefs about safety, and to trigger detailed nar- rative exploration of the complex factors that contribute to patient safety culture. Participants completed the HSOPSC at the beginning of the ‘quester- view’. I left them alone for 10 to 15 minutes, and did not offer any clari- fication of the instrument. They were then invited to review the tool and 109 explore the questions or issues it prompted. Informants were encouraged to explore the meanings of the statements and to reflect upon them criti- cally. I invited participants to tell me about their experience working in an ED, and then framed the topic on patient safety by inviting them to talk about “safety in the ED”. I allowed participants to expand on areas which they felt were important, and gave them opportunity to uncover their “frameworks of meaning” . I avoided asking leading questions or providing judgements on views expressed. I sought narratives of safety, recovery and failure in the ED setting. Participants were encouraged to respond in story or narrative form using broad, open-ended questions. I used prompts and probes to facilitate generation of a narrative [Table 3.3], and provided additional statements from the Patient Safety in Healthcare Organizations instrument  as alternate wording to help broaden and clarify the domains under discussion. How did you decide on your answer to this question? How did you interpret or decide what this question was asking? Thinking back, is there a timewhere youmight have answered differently to this ques- tion? Can you tell me what has changed that lead you to change your response? Were you at all unsure about how to answer this question? Why or why not? How else might you ask this question? If you had to explain how to answer this question to someone else, what would you say? 110 How easy or difficult was if for you to remember howmany times in the past year you have reported threats to patient safety? What timeframe would you use to answer this question? Can you think of any reasons why a person might have difficulty in answering ques- tions about patient safety? Table 3.3: ‘Questerview’ probes and follow-up questions Participants were encouraged to explore “second stories” about sys- temic vulnerabilities , as well as their own “sharp end” experiences. They were also asked in closing if they thought there was anything fur- ther that they felt was important to understanding patient safety in the ED that had not been covered. Each interview averaged approximately one hour and 40 minutes. Field notes were written up immediately fol- lowing the interview to record information about the setting, nonverbal behaviours, and impressions and analysis. A journal was maintained to record hunches and ideas for follow-up. Statements from the HSOPSC were used as a semiotic stimulus to en- courage and facilitate interviewees to speak about patient safety. The HSOPSC itself is a cultural text, a product comprised of signs and signi- fication systems. The survey presents an interpretation of ‘safety culture’, while the interviewees represented their interpretation of it in a semiotic process. As such, interviewees were invited and “empowered” to express their social experience and cultural knowledge about patient safety in the ED. The survey as a stimulus text brought “not now” moments and “not 111 here” events into the “here and now” interaction of the interview . The interview did not proceed solely as an interaction between the in- terviewee and me, but importantly incorporated the survey as a stimulus text. The statements and domains of the survey invited respondents to express their position in relation to it, as an iconic microcosm of patient ‘safety culture’ to which they could compare their own experience. Some of the statements also served a more provocative role, inviting critical re- flection of how their perception of patient safety in the ED in most cases failed to approach the “ideal” state as suggested by the survey. In this way, the ‘questerview’ strategy of utilizing a standardized survey instru- ment as a stimulus text in a reflective “here and now” interview, created “a fruitful tension between externalized, objectified culture, and subjec- tive, situational meaning-giving. The tension opened up cultural paths (clues), mirrors (icons) and contradictions (provokers), making it possible for the researcher and the interviewees, as they interpret the stimulus text, to step out of themselves in a comparable manner, although in such a way that they can at the same time express their own experiences by following, citing, or abandoning the concrete and externalized marks of the stimulus text.” [494, p. 359]. 3.5.5 Data Analysis The individual interview transcripts were analyzed as a whole unit of dis- course. Transcripts and notes were read and re-read noting patterns and 112 themes. Analysis continued with attempts to identify and narrow the re- curring patterns within these areas, look for areas of disjuncture in these overall patterns, and to refine emergent patterns. Data were coded for meanings and actions, looking for relationships between incidents and processes. Direct quotations were used to illustrate themes. Data was coded manually and entered into a computer software program (N-Vivo 8 R) to ease the process of data sorting, storage and retrieval. 3.6 ‘Safety Culture’ Survey An organization wide patient ‘safety culture’ survey was conducted by an outside independent research agency in the fall of 2007 using the 2007 ver- sion of the Modified Stanford Instrument. De-linked anonymized data from the ED was made available for comparison with the themes that emerged out of the interviews and focus groups. 3.6.1 Recruitment and Sampling All nurses, staff and physicians in the department were invited by the or- ganization to participate in the organization-wide patient ‘safety culture’ survey. Potential participants were recruited by letter and invited to par- ticipate using a paper-based survey and pre-paid envelope or to complete the survey on line using a unique anonymized access code. The ques- tionnaire was mailed to employees and physicians in October 2007. A two-stage mailing approach was used. All identified staff and physicians 113 were mailed a survey, followed by a reminder postcard to non-responders roughly three weeks after the initial mailing. I also sent one personal re- minder by email to the emergency department nurses, staff and physi- cians. 3.6.2 Instrument The instrument used in the organizational patient safety culture survey is the modified Patient Safety in Healthcare Organizations (PSHCO) tool, otherwise known as the Modified Stanford Instrument, 2007 version (see Appendix A). This instrument is a version of the survey tool initially de- veloped by Singer et al.  at the Patient Safety Center of Inquiry at VA Palo Alto Health Care System, that was modified with permission by Canadian researchers . The Modified Stanford Instrument (MSI), as it has come to be called, has been used in other Canadian healthcare set- tings, as well as in a large, multi-centre survey of four Canadian healthcare organizations representing six hospitals and health regions from across Canada . A pan-Canadian database is available with results using the MSI. The MSI patient ‘safety culture’ instrument is also now required as a performance measure by Accreditation Canada for Canadian health- care organizations as part of their Qmentum accreditation program . The MSI 2007 version is a 46-item questionnaire that includes items designed to measure five dimensions of safety climate: organizational leadership support for safety, unit leadership for safety, perceived state 114 of safety, shame and repercussions, and safety learning behaviours. Safety learning behaviours, in turn, is now broken into three dimensions includ- ing learning responses, reporting culture and learning culture. Findings from dimensions related to organizational leadership support for safety, perceived state of safety, and shame and repercussions had been reported for clinical nurse leaders , whereas the dimension on unit leadership for safety was adapted from the Supervisory leadership dimension on the AHRQ’s HSOPSC . Statements from all dimensions were answered using a five-point agree-disagree Likert-type scale. All of these items also had a not applicable option. Also adapted from the AHRQ’s HSOPSC were two items designed to provide an overall assessment of patient safety at the unit and organizational levels. These two questions were answered using an A (excellent) through F (failing) rating scale. All dimensions had been subjected to exploratory factor analysis and reliability analysis and had reportedly yielded “reasonably strong out- comes” . However, psychometric analysis of two cross-sectional sur- veys using earlier versions of the MSI did not yield acceptable levels of fit on confirmatory factor analysis . Exploratory factor analysis and reli- ability analysis suggested that only the two leadership dimensions were reliable: organizational leadership for safety (α = 0.88) and unit leader- ship for safety (α = 0.81). The analysis of within-group agreement demon- strated stronger within-unit agreement than within-organization agree- ment on all five dimensions, supporting the premise that safety climate, 115 and possibly culture, is local. Hence, caution is warranted in the interpre- tation and meaning of results, and particularly group comparison using benchmarking . 3.6.3 Data Collection Data collection and processing was performed by an independent health- care research firm in Canada. The participant access codes were unique to each individual and were linked by the third-party firm to organiza- tional data about age, date of hire, years of service, job category, job type, labour agreement, home department, care unit, program, site, and senior leader. The de-linked anonymized raw data and analysis were returned to the organization by the independent research agency. 3.6.4 Data Analysis The anonymized raw data from the independent research firm was gra- ciously and generously shared with me by the organization in the form of an Excel Rspreadsheet, which I in turn coded and imported into Stata 10 R(StataCorp, 2007). I was then able to sample and compare the re- sponses from the Emergency Department to those from the organization as a whole. I selected responses from the appropriate “HomeSite”where the “Home Department”, “Care Unit”, “Care Unit Name”, “Care Unit Description”, “Paid Department”, or “Academic Department” included the designation 116 EMERGENCY or EMER. This gave me a sample of 40 participants. Given that the survey data were anonymized, it is possible and prob- able that some participants in the ‘questerview’ phase may also have par- ticipated in the survey. However, comparison of the “Job Family” and “ExpGroup” (length of employment) variables with participant attributes in the ‘questerview’ sample, suggests that the overlap was less than 10 percent (there were three only “matches”). The analysis was conducted to address the research question: how do emergency department care providers and staff perceive the unit-level pa- tient safety climate? Responses were partitioned by staff, nurse, physician, and leader, and coding was kept as ordinal data for exploration with or- dinal regression using patient safety grade as the outcome measure. The ordinal codes were also transformed into safety “negative”, “neutral” and “positive” responses, and by combining “negative” and “neutral”, as di- chotomous responses (dichotomous). The data were not analyzed as in- terval measures. Composite scores for each dimension were calculated by summing the “positive” or “problematic” responses across dimension items and dividing by the sum of the number of responses by item for the dimension. Each dimension item was weighed equally. Statistical analysis was descriptive and exploratory and not intended as hypothesis testing. Differences between unit level roles in the propor- tion of positive response and proportion of problematic response were compared using Fisher’s exact test. Correlation of dimensions and items 117 with overall patient safety grade was estimated using Spearman’s rank correlation. Differences between unit level results and benchmark results were compared using χ2 with Yates correction. The proportion of positive responses by item and domain were plot- ted on the x-axis against correlation of each item and domain to overall patient safety grade at the unit and organizational level on the y-axis to produce a performance grid. Threshold lines were placed at 50 percent positive response and correlation of 0.50. Items and domains that group in the “upper left quadrant” identify those areas perceived to be highly important to overall perceptions of safety, but for which there was weak performance. These areas may be areas to prioritize for change and im- provement. 3.7 Focus Groups I engaged a community of practitioners in collaborative, reflective, and active exploration of patient safety in the ED, and provided a venue for voice, learning and construction of shared sense making. The purpose of the focus group discussions was to explore in more depth in an “open communicative space” some of the overarching themes that emerged out of the interviews and survey, and to facilitate and foster the emergence of a “community of inquiry” on patient safety in the emergency department. Interaction with others is a vital ingredient in social learning where the emphasis is on collaboration, negotiation, debate and peer review. The fo- 118 cus groups “replicated” the cultural context in which providers and staff discuss and make sense of risk and safety. By their everyday acts of mean- ing, people act out social structure, affirming their own status and roles, and establishing and transmitting the shared systems of value and knowl- edge [500, p. 2] 3.7.1 Recruitment and Sampling Four focus groups were conducted: one with emergency physicians, two with emergency nurses and staff, and one with staff from supporting de- partments such as lab and imaging. An invitation letter was sent to all staff and physicians working in the ED, and a general invitation was given at rounds and a departmental meeting. Staff members from supporting de- partments were recruited through their supervisors. 3.7.2 Ethics Focus groups present a set of ethical challenges because participants can- not be granted anonymity. At the beginning of each interview, the consent form was reviewed and the participants reminded that their participation in the group was voluntary, that they could refuse to answer any ques- tion, and that they could withdraw from the interview at any time. While the members of each focus group knew the identities of the other group members, the transcripts from the focus group interviews do not contain names. 119 3.7.3 Data Collection Each focus group lasted one-and-a-half hours. The sessions were con- ducted in a near-by meeting room off-site during the participants’ non- working hours, although several non-physician participants came during work time. Refreshments and a $25 value coffee or gift card was offered as an incentive. Participants were invited to reflect on and share their overall perceptions of patient safety in the ED, how their work environ- ment helps or hinders them in providing safe care, how they identify and assign meaning to patient safety incidents, and how they talk and learn about threats to safety in the ED. They were also invited to explore how they respond to patient safety incidents and the people who are involved with them, and what hinders them from speaking up. Group discussions were digitally recorded using a digital recorder with a multi-directional microphone. Moderators with expertise in conducting focus groups lead the discussions. The facilitators worked as a pair, while I was the observer who manually recorded supplementary data relating to the context. I did not take on the role of moderator or facilitator, but rather was a “fly on the wall”. Field notes were written based on observations of the interactions amongst group members, their verbal responses as well as non-verbal re- actions during the interviews. 3.7.4 Format Each focus group began with an introduction: 120 The purpose of the focus group is for me to listen to you and learn from your plural viewpoints, opinions, and experiences related to patient safety in the ED where we work. I would like to invite you to reflect on and share your overall percep- tions of patient safety in the ED, how your work environment helps or hinders you in providing safe care, how you identify and assign meaning to patient safety incidents, and how you talk and learn about threats to safety in the ED. You are also invited to explore how you respond to patient safety incidents and the people who are involved with them, and what hinders you from speaking up. The group discussions were then facilitated using a series of questions and prompts [Table 3.4]: How do you experience patient safety in the ED? What is your overall perception of patient safety in the ED? What is ‘safe’ care in the ED? How does your work environment influence your ability to provide safe care? What is our patient safety story in the ED? How would you talk about patient safety to someone new to the department? What opportunities to improve patient safety would you like to see in the ED? How do we create safety for patients in the ED? Where do we succeed? Where are the gaps? How can we learn from our own and others’ mistakes? What helps us learn? What hinders us from learning? 121 What is your experience of communication in the ED? (if time) How could we encourage and engage patients to contribute to patient safety in the ED? Table 3.4: Focus group questions and probes Participants were encouraged to comment on, clarify or add to ideas, brainstorm strategies to implement ideas, and suggest new ideas. The goal was not to come to consensus, but rather to structure and explore diverse views. 3.7.5 Data Analysis I read and re-read the focus group transcripts and field notes noting narra- tive chunks, patterns and themes, and used direct quotations from partici- pants to illustrate themes. The data were entered into a computer software program (NVivo 8 R) for coding and to ease the process of data sorting, storage and retrieval. Emergent patterns and themes were triangulated with interview and survey patient safety culture data. 3.8 Observation Communication and shared sensemaking are central to collaborative work and creating safety. Thus, I observed the communication load and pat- terns of interaction in the local ED using the strategy of the Communica- tion Observation Method . I noted the following factors: the role of the participant; the number and duration of communication events, inter- 122 ruptions, and concurrent events; the channel and purpose of communica- tion; interaction types; delayed or broken communications; task switches; patient levels in the hour before the observation period, and during the observation period; and the day and time. 3.8.1 Recruitment and Sampling A convenience sample of sixteen emergency care providers and support personnel were recruited by invitation letter and a general invitation that I gave at departmental rounds and meetings. The participants were repre- sentative of different roles in the department including physicians, nurses, nurse leaders, and unit coordinators, and all had worked in the depart- ment for more than three years. By chance, an additional nurse was observed at triage, and two nurses were observed when assigned to trauma coverage. Both of us were un- aware of the nursing assignment until the time of the observation period. As it turns out, one of the nurses assigned to trauma had no trauma pa- tient, and instead provided bedside care to two patients. This observa- tion period took place prior to the change in duties assigned to the trauma nurse. In the past, the trauma nurse had priority assignment to the trauma room and two care spaces. If they were called into the trauma room, an- other nurse would cover the other two patients if needed. On the second observation period, the nursewas assigned to trauma, but the responsibili- ties had changed. Instead of providing bedside care to two care spaces, the 123 trauma responsibilities were now similar to those of a float nurse3. So, al- though unplanned on my part, observing the two trauma nurses included periods of observation of “bedside nursing” and “float nursing”. 3.8.2 Ethics I “shadowed” participants for an agreed duration (usually two hours) as they went about their normal work, taking field notes on their communi- cation activities. My focus was not on content or style of communication, but rather the structure and process of communication, and the impact of emergency department operations on communication events. Patients and the public were notified of the study by posted signs in the waiting areas, by letter given out at registration, and by participants. Patients were informed that their conversation with providers was being recorded, and that the recorder could be turned off or suspended at any time if they wished. Confidential material was captured during the obser- vation, but no personal identifiers were recorded and all participant and patient identifiers were deleted from the transcript. Participants were free to suspend the recording or stop the observation period at any time, or to retrospectively exclude any recorded material. In circumstances when the patient was unable to give informed consent, participants had full control regarding stopping the recording if, in their clinical judgment, they felt the situation was not appropriate. Recordings were also suspended for 3Has no bed assignment; helps out where needed 124 personal reasons for example, phone calls and “food” or “toilet” breaks. 3.8.3 Data Collection Participants were invited to carry a digital voice recorder in their pocket andwear amulti-directional microphone attached to their lapel while they went about their regular duties. I shadowed them and recorded field ob- servations about the process of communication. I followed at a distance to avoid direct interference with normal work, but remained sufficiently close to observe what was occurring. I took field notes to describe the flow of events that were being observed. I did not use an a priori template for coding events in order to remain flexible to the dynamic of work. Initially, I wrote brief field notes as I was observing, but found that I was not able to write quickly enough to keep up with the pace of communication. I switched after four observation periods to using a digital recorder with a slide switch to dictate the time and description of what was going on. As a provider in the department I was intimately familiar with the work area observed and the typical tasks that may occur. In some cases I was familiar with the patients being cared for since I had been the at- tending physician earlier. On three occasions I felt ethically obliged to speak up and provide additional background information or note a safety threat. For example, one patient presenting with shortness of breath was not on a pulse oximeter, and on another occasion the one-way valve on a thoracentesis tube was put on in the wrong direction in a patient with a 125 spontaneous pneumothorax. Providers and staff were habituated tomy presence as another provider in the department which allowed me to move unencumbered. Yet, being familiar perhaps also led tomore conversations withme (all were deleted), or on at least two occasions, distracting me in order to tell me something. Data collection periods were distributed over the course of the day, in- cluding evening, night andweekend periods. The purpose of communica- tion, the type of communication channel, and the type of communication interaction were ascribed for each communication event. The number of patients (present, arriving, leaving) in the observed care area of the ED, the Canadian Triage Acuity Score (CTAS) case mix, and the number of physi- cians, nurses and staff working in the care area were collected from the clinical information system and the physicians and nurses schedules and shift assignments. No personal identifiers were recorded. 3.8.4 Data Analysis The participants’ conversations were transcribed verbatim and combined with transcribed field notes. I alone proof read and edited the transcripts, assigning roles to voices and deleting all personal or identifiable informa- tion. I then marked up the transcripts into communication events noting a) onset of communication in an otherwise communication free period, and b) when there was a change in purpose or channel or participants. For communication events where there was more than one other party, 126 the other parties were documented, but I did not consider communica- tion with each party to be an additional communication event. I used the concept of cognitive load as my basic guide . If a conversation involved three parties talking about the same topic, then I considered that to be one communication event, on the assumption that the purpose of communication was a greater determinant of cogni- tive load than the number of other parties. Department hand over rounds involving physicians and nurses were classified as one communication event, even though thereweremultiple parties andmultiple locations over a period of time. If a participant was interrupted briefly, but was able to continue with their original communication task, then the interruption was coded as a new event, but the original event continued past the in- terruption. However, if the interruption resulted in a task switch, then resumption of the original task was coded as a new event. Communication events were identified and described by coding the following attributes: identification number, start time, end time, role of agents involved, channel of communication, type of interaction, purpose of event, initiation, interruption or task switch, location and day/time. The data was entered into an Access Rwork sheet and imported into Stata 10 R(StataCorp, 2007). The channels of communication were clustered as synchronous/ asyn- chronous , and mediated/not mediated. The purpose of communica- tion was grouped as relating to patient care, unit management, education, 127 social interactions or unknown. The purpose of communication relating to patient care and unit management was further subdivided by the area of patient care, such as assessment or treatment, or the area of unit man- agement, such as equipment and supplies or housekeeping. Interruptions were further divided into on topic or off topic, as judged by relation of the content to the preceding communication. Interruptions were defined as any communication event that was not initiated by a participant and occurred during a concurrent synchronous or asynchronous event. For example, an event was coded as an interruption if a third party entered a conversation, or a second party initiated a face-to-face event while the par- ticipant was engaged in an asynchronous communication activity such as charting. Interaction types were categorized as one or more of giving informa- tion, receiving information, giving request, receiving request, or greeting. I included greeting as a separate social category because of its relevance as an aspect of culture. Interactions were further categorized as monologic (or one-way communication) or dialogic (at least two-way communica- tion). Common dialogic interactions included the “give request, receive information” dyad associated with looking up information. Other parties or purpose of communication was coded as “unknown” if identification of the second parties could not be determined. For ex- ample, if a participant was documenting, then I could not always deter- mine who else might read (communicate) with the document. Similarly, 128 if someone was paged overhead, then I could not determine who else had heard the page. Most of the “unknown” codes came from examples such as these. Orders that were placed in the Patient Care Information System (PCIS) were tracked by date, time and department location to determine who the other parties were, be they a laboratory or imaging technician (investiga- tion orders), a nurse (medication orders), or a unit coordinator (consults). This strategy turned up an additional set of communication events since many orders placed went to several different other parties at the same time. Descriptive statistics, including point estimates and confidence inter- vals are reported. The data from all participants was pooled and analyzed to derive quantitative measures of: 1) the proportion of time spent in com- munication events for all participants; 2) the proportion of interruptions experienced by participants over all communication events; and 3) the proportion of communication events involving concurrent communica- tion tasks. The total event time was calculated by subtracting the overlap time from the duration of individual events. The overlap time was cal- culated by hand to avoid double counting since many events overlapped with several successive events. The proportion of time spent in commu- nication events was calculated as the total event time divided by the total observation time. The number of communication events per minute was calculated as an estimate of the communication load. The interruption 129 rate was the number of interruptions occurring as a proportion of the total communication events. Finally, the concurrent communication load was calculated bymeasuring the proportion of total communication timewhen two or more communication events overlapped in time. 3.9 Summary I seek to explore how patient safety is created in the everyday practice of care in a hospital emergency department, and to describe how care providers and staff make sense of patient safety in their everyday inter- actions. My methods are sensitive to the co-construction of meaning and the “messy details” of work-as-done, while my methodological stance re- flects the embedded and situated nature of practice. 130 Chapter 4 Safety Measures 4.1 Introduction ‘Safety’ is polysemous1, ‘safety culture’ — problematic. Both concepts are social, and political. There are (at least) three ‘safety culture’ frames. First, ‘safety culture’ is a noun. ‘Safety culture’ is something a socio-technical system has, a system property, which, in turn, can be built, measured, and explained compared to a normative standard of “work-as-planned”. I liken this model of ‘safety culture’ to a garden shed. It is the functionalist model most commonly associated with managers. Second, ‘safety culture’ is an adjective. ‘Safety culture’ is something a socio-technical system is. This is the interpretive model of academics. Alternately, ‘safety culture’ is a verb. ‘Safety’ is a practice, something 1Having multiple meanings 131 a socio-technical system does, a system phenomenon that emerges out of interactions; it is a dynamic becoming or journey. ‘Safety culture’, in this view, is contextual and pragmatic, it can be nurtured and encouraged to grow, but can only be described and understood as “work-as-done”. I liken this model of ‘safety culture’ to the action “to garden”. This is the pragmatic model of practitioners. In the following analysis, I use these frameworks to explore patient ‘safety culture’ in the everyday practice of a hospital ED. Using a func- tionalist frame I present results from an organizational patient ‘safety cul- ture’ survey using the Patient Safety Culture in Healthcare Organizations (PSCHO) survey tool that has been modified for use in Canadian health- care organizations2 . I compare ED unit level findings with results from the entire organization, as well as with results from another high- hazard care unit in the same organization, the Intensive Care Unit (ICU). I then benchmark the local ED survey findings with responses from other EDs across Canada using results from the PSCHOPan-Canadian database. Next, I present unit level survey results from the Hospital Survey on Patient Safety Culture (HSOPSC) instrument that I used in the ‘quester- view’ approach, and benchmark findings from the local ED with results from other ED respondents in the United States using the 2009 Agency for Healthcare Research and Quality (AHRQ) HSOPSC database. Findings from both ‘safety culture’ survey instruments are then com- 2Commonly referred to as the Modified Stanford Instrument (MSI) 132 pared and contrasted, with direct comparison of identical statements. Key differences between instruments are reviewed, and a composite picture of key findings using both tools is constructed. In so doing, I demonstrate ar- eas of similarity and difference to present a “wet finger” overview of the safety climate in the local ED. 4.2 Patient ‘Safety Culture’ Surveys 4.2.1 Patient Safety in Healthcare Organizations (Modified Stanford Instrument) Survey In the fall of 2007 the healthcare organization invited physicians and staff to participate in a survey on patient safety. The invitation letter from ad- ministration stated that: “[organization] is committed to an environment where peo- ple feel free to contribute to building and maintaining a culture of safety. The success of this effort depends on your participa- tion and contribution and to sharing and receiving information about safety. By filling out this [survey], you are furthering our continuing efforts to achieve a culture of safety and improve care for patients and residents. Without such a culture, the improvements in patient safety and quality that we strive for cannot occur.” 133 The letter mentions building, maintaining, measuring and achieving— all components of the functional model. Sample There were 40 responses (25 percent) from the 162 eligible participants from the ED3 who were invited by the organization to participate in the survey [Table 4.1]. The response rate was higher for nurses and staff (28 percent of 115 invited nurses and staff) than physicians (17 percent of 47 invited physicians), but this was not statistically significant (p = 0.15). Characteristic Number Proportion Role Emergency Nurse 20 0.50 Nurse Leader 3 0.08 Staff 9 0.23 Physician 8 0.20 Gender Female 27 0.68 Male 13 0.33 Job Status Full-time 22 0.55 Part-time 14 0.35 Causal 4 0.10 3Care unit or academic department at the study hospital categorized as “Emergency” 134 Characteristic Number Proportion Age Group Less than 30 4 0.10 30 to 34 4 0.10 35 to 39 4 0.10 40 to 44 8 0.20 45 to 49 7 0.18 50 to 54 7 0.18 55 to 59 5 0.13 60 and more 1 0.03 Time in organization Less than 1 year 4 0.10 1 to less than 5 years 14 0.35 5 to less than 10 years 8 0.20 10 to less than 15 years 6 0.15 15 to less than 20 years 3 0.08 20 years and more 3 0.08 Missing value 2 0.05 Table 4.1: Characteristics of survey participants —Modified Stanford Instrument Patient Safety Grade Three-quarters of the participants gave the unit a “very good” (53 percent) or “acceptable” (25 percent) grade on patient safety, whereas 23 percent gave the unit a “poor” grade. None of the participants gave the unit ei- ther an “excellent” or “failing” grade. In comparison, participants tended 135 to be more neutral when considering the patient safety grade for the orga- nization. A smaller proportion gave the organization a “very good” rating (34 percent), and a greater proportion gave the organization an “accept- able” rating (45 percent). The proportion of respondents who rated the organization patient safety grade as “poor” (21 percent) was similar to the proportion that rated the unit as “poor”, with the majority of participants giving the unit and the organization the same grade (63 percent). One- quarter of respondents gave the unit a higher grade than the organization, whereas a smaller proportion gave the unit a lower grade (8 percent), or did not grade the organization at all (5 percent). Combining the unit and organization grades on patient safety into an overall patient safety grade resulted in a “very good” (43 percent) or “acceptable” (35 percent) impres- sion most commonly, with approximately one-fifth of participants report- ing an unfavourable impression. Proportion of Response In contrast to the mostly favourable overall perception of patient safety, more targeted responses to statements on the PSCHO instrument were generally negative, with an average proportion of positive scores across composites of the 7 domains of 48 percent. One-quarter of composite scores were negative or “problematic” [368, 503], and 27 percent were “neutral”. Positive responses, that is, responses that agree or strongly agree with positively worded items, and disagree or strongly disagree 136 with negatively worded items, indicate a favourable safety climate. Con- versely, problematic responses, that is, responses that agree or strongly agree with negatively worded items, and disagree or strongly disagree with positively worded items, are “inconsistent with a climate of safety” [503, p. 25]. The proportion of positive response did not exceed 75 percent on any of the domains, but did reach or exceed 50 percent on the domains VALU- ING SAFETY, LEADERSHIP FOR SAFETY, REPERCUSSIONS, and LEARNING CULTURE [see Table 4.2; [+] positively worded item, [–] negatively worded item]. In contrast, the proportion of positive response was less than 50 percent on the domains THREATS TO SAFETY, LEARNING RESPONSES and REPORTING CULTURE. The composite average of positive responses was significantly greater on the domain REPERCUSSIONS than on any other do- main except LEARNING CULTURE (p = 0.08), but there was no significant difference between the composite averages of any of the domains apart from REPERCUSSIONS. Lack of a significant difference is possibly a Type II error resulting from a small sample size with a wide variance. Three statements on the domains THREATS TO SAFETY and REPERCUS- SIONS elicited positive responses from more than 80 percent of respon- dents, whereas 27 statements from all domains except REPERCUSSIONS elicited positive responses from less than 50 percent of participants. For 41 of the 46 statements the proportion of problematic response was equal to or greater than 10 percent, for 14 statements the proportion of problematic 137 response was more than 25 percent, and for 5 statements the proportion of problematic response was greater than 50 percent. Statements where the proportion of problematic response exceeded 50 percent were from the domains THREATS TO SAFETY and REPORTING. The proportion of prob- lematic response was not significantly different on statements that were phrased as personal or those that were phrased as hypothetical or imper- sonal. Statements that elicited less than 20 percent positive response from participants included both personal statements and more general and im- personal statements. Proportion of Response, % Statements by domain Positive Problematic Valuing safety 39% 31% Patient safety decisions are made at the proper level of the most qualified people [+] 50% 28% Good communication flow exists up the chain of com- mand regarding patient safety issues [+] 43% 35% Senior management has a clear picture of the risk as- sociated with patient care [+] 30% 43% Senior management provides a climate that promotes patient safety [+] 35% 33% Senior management considers patient safety when pro- gram changes are discussed [+] 31% 23% My organization effectively balances the need for pa- tient safety and the need for productivity [+] 28% 38% 138 Proportion of Response, % Statements by domain Positive Problematic Valuing safety (continued) I work in an environment where patient safety is a high priority [+] 60% 20% Leadership for safety 50% 22% My unit takes the time to identify and assess risks to patients [+] 62% 10% My unit does a good job managing risks to ensure pa- tient safety [+] 60% 18% I am rewarded for taking quick action to identify a se- rious mistake [+] 15% 46% My supervisor/manager seriously considers staff sug- gestions for improving patient safety [+] 55% 18% Whenever pressure builds up, my supervisor/manager wants us to work faster, even if it means taking short- cuts [–] 33% 13% My supervisor/manager overlooks patient safety prob- lems that happen over and over [–] 64% 10% Threats to safety 39% 43% I am less effective at work when I am fatigued [–] 5% 90% Personal problems can adversely affect my perfor- mance [–] 15% 63% Loss of experienced personnel has negatively affected my ability to provide high quality patient care [–] 16% 63% 139 Proportion of Response, % Statements by domain Positive Problematic Threats to safety (continued) I have enough time to complete patient care tasks safely [+] 32% 41% In the last year, I have witnessed a co-worker do some- thing that appeared to me to be unsafe for the patient in order to save time [–] 41% 41% I am provided with adequate resources (personnel, budget, and equipment) to provide safe patient care [+] 29% 60% I have made significant errors in my work that I at- tribute to my own fatigue [–] 67% 18% I believe that health care error constitutes a real and sig- nificant risk to the patients that we treat [–] 3% 83% I believe health care errors often go unreported [–] 15% 62% Fear of repercussions 74% 7% Reporting a patient safety problem will result in nega- tive repercussions for the person reporting it [–] 55% 13% Asking for help is a sign of incompetence [–] 85% 5% If I make a mistake that has significant consequences and nobody notices, I do not tell anyone about it [–] 88% 3% I will suffer negative consequences if I report a patient safety problem [–] 70% 8% Learning responses 41% 19% Individuals involved in major events contribute to the understanding and analysis of the event and the gener- ation of possible solutions [+] 62% 5% 140 Proportion of Response, % Statements by domain Positive Problematic Learning responses (continued) A formal process for disclosure of major events to pa- tients/families is followed and this process includes support mechanisms for patients, family, and care/ser- vice providers [+] 35% 20% The patient and family are invited to be directly in- volved in the entire process of understanding: what happened following a major event and generating so- lutions for reducing re-occurrence of similar events [+] 18% 26% Things that are learned from major events are commu- nicated to staff on our unit usingmore than onemethod (e.g. communication book, in-services, unit rounds, emails) and / or at several times so all staff hear about it [+] 45% 30% Changes are made to reduce re-occurrence of major events [+] 48% 15% Reporting culture 34% 38% I am sure that if I report an incident to our reporting system, it will not be used against me [+] 40% 23% I am not sure about the value of completing incident reports [–] 36% 41% If I report a patient safety incident, I know that man- agement will act on it [+] 30% 28% Staff are given feedback about changes put into place based on incident reports [+] 26% 56% 141 Proportion of Response, % Statements by domain Positive Problematic Reporting culture (continued) Individuals involved in patient safety incidents have a quick and easy way to report what happened [+] 40% 40% Learning culture 55% 18% On this unit, when an incident occurs, we think about it carefully [+] 60% 18% On this unit, when an incident occurs, we analyze it thoroughly [+] 40% 23% On this unit, after an incident has happened, we think long and hard about how to correct it [+] 48% 23% On this unit, after an incident has happened, we think about how it came about and how to prevent the same mistake in the future [+] 68% 10% On this unit, when people makemistakes, they ask oth- ers about how they could have prevented it [+] 45% 20% On this unit, it is difficult to discuss errors [+] 69% 13% Average across composites 48% 25% Unit Patient ‘Safety Culture’ Grade 53% 23% Table 4.2: Proportion of response by dimensions, Modified Stanford Instrument Only 15 percent agreed that they were rewarded for taking quick ac- tion to identify serious mistakes, and only 16 percent disagreed that the loss of experienced personnel had negatively affected their ability to pro- 142 vide patient care. Fifteen percent disagreed that healthcare errors often go unreported, and only 18 percent agreed that the patient and family are invited to be involved in the process of understanding what happened. Neutral responses exceeded 25 percent on 23 of the 46 statements, and were highest overall on the domain LEARNING RESPONSE. The combi- nation of negative and neutral responses averaged 54 percent across all statements, and 52 percent across composites domain scores. There was a trend to more favourable responses on the domain LEAD- ERSHIP FOR SAFETY than on the domain VALUING SAFETY, but the com- posite domain scores were not significantly different. Just under half of participants agreed that they worked in an organization where patient safety is a high priority, but over half agreed that the department did a good job managing risks to ensure patient safety. Less than a third of par- ticipants agreed that they had adequate time or resources to complete pa- tient care tasks safely, or that the organization effectively balances the need for patient safety and the need for productivity. Conversely, 41 percent re- ported that in the past year they had witnessed a coworker do something that appeared (in their opinion) to be unsafe in order to save time. The majority of participants were either neutral or disagreed that there was a reward for action to identify mistakes, but most also disagreed that they would suffer negative repercussions for reporting, either personally or in general. However, only 40 percent expressed confidence that an in- cident would not be used against them if they reported it. Approximately 143 two-thirds of respondents either were not sure or were neutral about the value of completing incident reports, and only 30 percent expressed con- fidence that management would act on a reported patient safety incident. Fewer still agreed that staff were given feedback based on incident reports. Although most participants agreed that individuals involved in a ma- jor event contribute to understanding the event and to the generation of possible solutions, most were neutral on whether a formal process of dis- closure was followed that included support for patient, family, and care providers. The majority disagreed that it is difficult to discuss errors in the department, but less than half agreed that there is a thorough analysis after an incident. Together, these collective data support the interpretation of a depart- ment operating under time pressure and staff and resource constraint that exposes patients to the risk of harm, and yet the belief that risk is generally managed to ensure patient safety. There was a perceived lack of support from senior leadership, and a belief that the balance between productivity and safety is skewed. Respondents agreed that it is acceptable to ask for help and support in order to assure patient safety and did not feel that doing so is a sign of incompetence. Although there was a general feeling that reporting mistakes and incidents will not lead to repercussions, there remained an undercurrent of fear of repercussions. More strongly, how- ever, was a sense that reporting was of questionable value. Participants expressed futility around reporting, and disagreed that there is adequate 144 disclosure and learning. Areas of Focus Areas for focus to improve safety climate are suggested either by the pro- portion of positive or problematic responses, by plotting the proportion of positive response against correlation with overall patient safety grade (performance improvement grid) , or by modelling using ordinal re- gression. However, the sample size (n = 40) is not large enough to model the data statistically at the level of individual statements using factor anal- ysis, and backwards stepwise ordinal regression did not reach conver- gence. Performance Improvement Grids A plot of the proportion of positive re- sponse by domain, as well as individual items from each domain, against the correlation of domains or items with overall patient safety grade at the unit and organizational level suggests areas of focus where perceived performance is low, yet felt by respondents to be of greater importance to overall patient safety . In contrast to Ginsburg et al. , “thresh- old” lines were set at 50 percent for both proportion of positive response and correlation with overall patient safety grade, in order to identify the most critical items for focus. That is, the thresholds were adjusted towards identifying the highly critical domains and items by moving the threshold for proportion of positive response lower than 70 percent, and the thresh- 145 Valuing safety Valuing safety Leadership Leadership Threat Threats R p rcu sions Repercussions sponses Responses o ing Reporting rni g Learning .2 .2 3 .3 4 .4 5 .5 6 .6 7 .7 Co elation to Unit Patient Safety Grade C o r r e la t io n t o U n it P a t ie n t S a f e t y G r a d e .2 .3 .4 .5 .6 .7 Pro tion of Positive Response Proportion of Positive Response Figure 4.1: Performance improvement grid (Unit) by domain of the Modified Stanford Instrument, 2007 Version old for correlation with overall patient safety grade higher than 30 percent . Key domains identified using this approach [Figure 4.1] comparing to the unit patient safety grade are VALUING SAFETY, REPORTING, LEARNING RESPONSES, and THREATS TO SAFETY. The domains LEARNING CULTURE and LEADERSHIP FOR SAFETY plot near the threshold margins, while the 146 domain REPERCUSSIONS is an outlier. The same key domains are identi- fied at the organizational level with similar relationships in comparison to the overall patient safety grade. Key items identified comparing to the unit patient safety grade using the same approach at the level of individual survey statements are: • “Seniormanagement provides a climate that promotes patient safety” (VALUING SAFETY: positive response = 35%, problematic response = 33%; correlation to unit grade 0.67) • “My organization effectively balances the need for patient safety and the need for productivity” (VALUING SAFETY: positive response = 28%, problematic response = 38%; correlation to unit grade 0.72) • “Changes aremade to reduce re-occurrence ofmajor events” (LEARN- ING RESPONSES: positive response = 48%, problematic response = 15%, correlation to unit grade 0.56) The performance grid approach indicates how safety is valued as the primary area of focus to improve patient safety in the ED. Respondents did not feel that safety is given priority over production or that safety is promoted in their workplace. Moreover, over half of respondents from the ED did not perceive that we learn enough from patient safety incidents or make changes to reduce repeat events. Overlap between these strategies targets organizational response and learning from patient safety incidents and the balancing of safety and pro- 147 ductivity as the two broad areas for performance improvement on patient safety in the ED. Differences between groups The sample (n = 40) is small and underpowered to detect a meaningful difference of 25 percent on the proportion of positive responses between groups. Even so, significant differences were demonstrated. Differences between nurses, physicians, and staff Significant differences were demonstrated between non-clinical staff (n = 9), nurses (n = 23), and physi- cians (n = 8), on the domain REPERCUSSIONS, and on statements of the survey from the domains THREATS, LEARNING RESPONSES and REPORT- ING [Table 4.3]. Staff trended towards more positive scores than nurses and physicians, with exceptions to statements on the domain REPERCUSSIONS, on which nurses reported significantly higher positive scores, and on the domain LEARNING RESPONSES, where physicians reported significantly more pos- itive responses. Staff reported significantly more positive responses (71 percent) than nurses and physicians (19 percent) to the statement “I am provided with adequate resources (personnel, budget, and equipment) to provide safe patient care” (rank sum (clinical), z=2.718, p = 0.007). Non- clinical staff also reported significantly more positive responses (78 per- cent) than nurses and physicians (29 percent) to the statement “Individ- 148 uals involved in patient safety incidents have a quick and easy way to report what happened” (rank-sum (clinical), z=2.787, p=0.005). Proportion of Positive Responses, % Nurse Staff MD All Domain n=23 n=9 n=8 n=40 Valuing safety 38% 48% 34% 39% Leadership for safety 52% 54% 40% 50% Threats to safety 40% 48% 32% 39% Fear of repercussions 82%§ 69% 59% 74% Learning responses 34% 51% 53% 41% Reporting culture 34% 48% 20% 34% Learning culture 57% 54% 50% 55% Average across domains 48% 54% 41% 48% Table 4.3: Proportion of positive responses by composite domains and staff categories Similarly, staff disagreed (41 percent) significantly more than nurses and physicians (10 percent) with the statement that “Loss of experienced personnel has negatively affected my ability to provide safe patient care” (rank-sum (clinical), z=2.314, p=0.021). Staff agreed (57 percent) signif- icantly more than physicians (0 percent) that they have enough time to complete patient care tasks safely (rank-sum (physician vs non-clinical), z=2.235, p=0.025), and agreed (44 percent) significantly less than physi- cians (88 percent) that personal problems can adversely affect their perfor- mance (rank-sum (physician vs non-clinical), z=-2.202, p = 0.028). Indeed, 149 staff reported significantly more positive responses overall on the domain THREATS TO SAFETY than physicians (rank-sum (physician vs non-clinical), z=2.169, p = 0.030). In short, non-clinical staff report that they feel less pressed for time, have adequate resources, do not feel significantly im- pacted by the loss of experienced personnel, and find reporting relatively easy. Clinicians, on the other hand, feel pressed for time in a staff and resource limited department, and do not find the process of incident re- porting quick and easy. Nurses and physicians were at opposing ends of agreement/disagree- ment on the domain REPERCUSSIONS, and on one statement from the do- main LEARNING RESPONSES. Nurses gave significantly more positive re- sponses overall on the domain REPERCUSSIONS than physicians and staff (rank-sum (nurse), z=-2.239, p=0.020), whereas physicians gave signifi- cantly fewer positive responses overall on the domain than did nurses and staff (rank-sum (physician), z=2.313, p = 0.021). Conversely, physi- cians gave significantly more positive responses (100 percent) than nurses and staff (67 percent) to the statement that “Individuals involved in ma- jor events contribute to the understanding and analysis of the event and the generation of possible solutions” (rank-sum (physician), z=-2.788, p = 0.005), whereas nurses gave significantly fewer positive responses to the statement (45 percent) than physicians and staff (82 percent) (rank-sum (nurse), z=2.522, p = 0.012). Physicians, too, gave significantly more neu- tral responses (38 percent) than nurses and staff (3 percent) to the state- 150 ment “If I make a mistake that has significant consequences and nobody notices, I do not tell anyone about it” (rank-sum (physician), z=3.537, p < 0.001). From these data it appears that nurses are less fearful of repercus- sions, but also less likely to perceive that individuals involved in an event contribute to learning. On the other hand, physicians strongly believe that individuals involved in an event contribute to learning from what happened, but are also more ambivalent about potential repercussions. Hence, it may be that nurses are more influenced by a sense of futility than fear, whereas physicians are more conflicted about the personal stigma that may be associated with mistakes. Physicians were significantly less likely (25 percent) than nurses and staff (77 percent) to disagree that they had made errors in their work that they attributed to fatigue (rank-sum (physician), z=2.879, p = 0.004). At first this appears odd since physicians work fewer hours and have shorter shifts than nurses and staff. However, it may be that personal problems and fatigue have a greater impact on the performance of emergency physi- cians because of the cognitive demand associated with decision making. Also, it appears from these data that physicians are perhaps more risk aware, and/or aremore affected by lack of time, lack of staff and resources, fatigue and personal problems, or some combination thereof. 151 Differences between leaders and non-leaders Significant differences were also shown between clinical leaders (n = 4) and those not in a leadership role (n = 36) on statements from the domain VALUING SAFETY. Clinical leaders (nurses and physicians) offered a more favourable impression of senior leadership than non-leaders. Clinical leaders agreed (75 percent) signifi- cantly more than non-leaders (25 percent) that “Senior management has a clear picture of the risk associated with patient care” (rank sum leader z=- 2.205, p = 0.027), and equally that the “Organization effectively balances the need for patient safety and the need for productivity” (rank sum leader z = -2.07, p = 0.038). That clinicians and non-clinicians would perceive safety threats differ- ently is expected, but the difference between nurses and physicians on the value of learning is somewhat surprising, given that physicians rarely if ever fill out incident reports whereas nurses do. Yet, it is physicians who strongly endorse learning from events, even if they are more ambivalent about repercussions. That clinical leaders should differ in their perception of the balance between patient safety and productivity suggests a “nor- malization of deviance” [136, 468] and points to a tension between work- as-planned and work-as-done. Benchmark Comparisons This was the first patient ‘safety culture’ survey in the history of the de- partment, so there was no historical benchmark for comparison. Instead 152 I compared the ED to the entire organization and to another high-hazard unit within the organization (the ICU). I then compared the ED to other EDs in the PSCHO Pan-Canadian database. Organization Overall perceptions of safety were significantly different at the organizational level (Mann-Whitney U, z = 2.41, p = 0.0161) and the unit level (Mann-Whitney U, z = 2.74, p = 0.0062) between the ED (n = 40) and the rest of the organization (n = 1327). Key differences were demonstrated under all domains [Table 4.4], and all items under the do- main VALUING SAFETY scored significantly fewer positive responses in the ED sample compared to the rest of the organization (p < 0.01). Perceptions of patient safety were different in the ED, with the ED participants scoring fewer positive responses on all domains, and signif- icantly so with respect to VALUING SAFETY, REPORTING and LEARNING RESPONSES. Together these differences suggest that respondents from the ED perceived a lack of leadership support and were more than ambiva- lent about the value of incident reporting. They did not find it quick and easy to report, and had experienced a lack of response by management, or worse, a negative repercussion. There was no systematic department level learning involving patients, families, staff and providers. In addition, ED participants saw their workplace environment as one that is both time pressured and lacking adequate resources to provide safe patient care. 153 High-hazard Unit within the Organization Overall perceptions of safety at the unit level were also significantly lower in the ED (n = 40) compared to the Intensive Care Unit (n = 37) (Mann-Whitney U, z = -2.26, p = 0.0236), with key differences found under the domains of VALUING SAFETY, and LEADERSHIP FOR SAFETY [Table 4.4]. Proportion of Positive Response, % ED ICU All Domain n=40 n=37 n=1327 Valuing safety 39% 55%§ 61%§ Leadership for safety 50% 60%§ 61%§ Threats to safety 39% 48% 46% Fear of repercussions 74% 82% 88%§ Learning responses 41% 44% 57%§ Reporting culture 34% 40% 57%§ Learning culture 55% 61% 66%§ Average across domains 48% 56% 62%§ Patient Safety Grade 53% 65%§ 64%§ Table 4.4: Proportion of positive response by work area and safety di- mension Together these significant differences between high-hazard units within the same organization point towards the ED as a more time and resource limited environment where leadership for safety is perceived to be lack- ing, and patient safety overall is perceived to be worse off. 154 Other Canadian Emergency Departments Comparing the proportion of pos- itive responses on the available domains in the Pan-Canadian database (VALUING SAFETY, LEADERSHIP FOR SAFETY, THREATS, REPERCUSSIONS, and LEARNING RESPONSES) between the ED sample (n = 40) and the sam- ple of respondents from other EDs in Canada who participated in the PSCHO (n = 127) reveals no significant differences overall (Mann-Whitney U, z = -0.966, p = 0.334), [Table 4.5], but a greater than 20 point difference on the proportion of problematic responses on the items: • “A formal process for disclosure of major events to patients/fami- lies is followed and this process includes support mechanisms for patients, family, and care/service providers” (Proportion of positive response: ED sample – 35%, Database sample – 57%) • “The patient and family are invited to be directly involved in the entire process of understanding: what happened following a major event and generating solutions for reducing re-occurrence of similar events” (Proportion of positive response: ED sample – 18%, Database sample – 39%) This comparison suggests that apart from the lack of a formal disclo- sure policy to patients and families, the ED is not significantly different to other Canadian EDs on perceptions of patient safety, and points towards there being a stronger unit effect than an organizational effect. This find- ing also supports the premise that EDs are different from other hospital 155 units . Proportion of Positive Response, % ED Database Domain n=40 n=127 Valuing safety 39% 44% Leadership for safety 50% 52% Threats to safety 39% 44% Fear of repercussions 74% 87% Learning responses 41% 47% Reporting culture 34% Learning culture 55% Average across domains 48% 55% Table 4.5: Comparison of the proportion of positive response from the ED with ED responses from the Pan-Canadian Database 4.2.2 Hospital Survey on Patient Safety Culture In 2006, I invited ED staff, nurses and physicians, as well as hospital ad- ministrators, to explore perceptions of patient ‘safety culture’ in the ED with me. I used the Hospital Survey on Patient Safety Culture (HSOPSC) instrument both as a survey and as a semiotic tool. Here I present the quantitative ‘questerview’ survey results. Similar to findings from the PSCHO, I present key items by proportion of problematic and positive response, performance grid by domain and item, and benchmark compar- ison with the 2009 Agency for Healthcare Research and Quality database. 156 Sample Nineteen physicians, nurses and staff from the local ED participated in a ‘questerview’. An additional three administrators from the organization, and four physicians and nurses from another hospital ED participated in this phase, but here I present only the local ED survey results to compare with results from the PSCHO reported above. The sample of participants was comprised of nine nurses, including four nurse leaders, three depart- ment staff, and seven physicians. The participants were equallymale or fe- male. Three-quarters of participants had more than five years experience, while four-fifths had worked in the department for more than one year and worked more than 20 hours per week [Table 4.6]. More physicians participated in a ‘questerview’ than in the organizational patient safety culture survey using the PSCHO tool. Characteristic Number Proportion Role Emergency Nurse 5 0.26 Nurse Leader 4 0.21 Staff 3 0.16 Physician 7 0.37 Hours per week less than 20 3 0.16 20-39 7 0.37 40-59 9 0.47 157 Characteristic Number Proportion Gender Female 10 0.53 Male 9 0.47 Time in profession 1-5 years 5 0.26 6-10 years 6 0.32 16-20 years 2 0.11 21 years or more 6 0.32 Time in current work area less than 1 year 4 0.21 1-5 year 5 0.26 6-10 years 6 0.32 11-15 years 3 0.16 16-20 years 1 0.05 Time in organization less than 1 year 3 0.16 1-5 year 4 0.21 6-10 years 3 0.16 11-15 years 4 0.21 16-20 years 3 0.16 21 years or more 2 0.11 Table 4.6: Characteristics of survey participants — Hospital Survey on Patient Safety Culture 158 Patient Safety Grade Patient safety grades ranged from “failing” to “excellent”. Only 16 per- cent of participants thought we were doing better than “acceptable”, with the majority (53 percent) giving the department a less than “acceptable” grade. Combining neutral and negative “problematic” responses (84 per- cent) points to the room for improvement. Proportion of Response The only domains to garner less then 50 percent problematic response were ACTIONS PROMOTING SAFETY, TEAMWORK WITHIN UNIT, COMMU- NICATION OPENNESS, and NUMBER OF EVENTS REPORTED. A “problem- atic” response on the domain NUMBER OF EVENTS REPORTED was inter- preted as no events reported over the past 12 months; 47 percent of par- ticipants had not reported any events. The proportion of problematic re- sponse exceeded 50 percent for all other domains. The only domain with greater than 80 percent positive response was the domain TEAMWORK WITHIN UNIT. All participants agreed with the statement that “people support one another in this unit”, and 84 percent agreed that “when a lot of work needs to be done quickly, we work to- gether as a team to get the work done”. In contrast, the average across domain composites was 35 percent posi- tive response [Table 4.7; [+] positively worded item, [–] negatively worded item]. Only 5 percent disagreed that “we have patient safety problems 159 in this unit”. Fewer than 40 percent of participants gave a positive re- sponse on any of the items on the domains TEAMWORK ACROSS UNITS and HANDOFFS AND TRANSITIONS. Less than 25 percent of participants gave a positive response to the items on the domain FREQUENCY OF REPORT- ING. There were no positive responses to the question “when a mistake is made, but is caught and corrected before affecting the patient, how often is this reported?” Although the proportion of positive response was less than 50 percent on the domains OVERALL PERCEPTIONS OF SAFETY, HOSPITAL MANAGE- MENT SUPPORT FOR PATIENT SAFETY, STAFFING, NONPUNITIVE RESPONSE TO ERROR, FEEDBACK AND COMMUNICATION ABOUT ERROR, and OR- GANIZATIONAL LEARNING–CONTINUOUS IMPROVEMENT, the composites of these domains did not correlate highly with the overall patient safety grade. Statements by domain PPR1, % Outcome Measures Overall perceptions of safety 17% Patient safety is never sacrificed to get more work done [+] 26% Our procedures and systems are good at preventing errors from hap- pening [+] 16% It is just by chance that more serious mistakes don’t happen around here [–] 21% We have patient safety problems in this unit [–] 5% 160 Statements by domain PPR 1, % Frequency of event reporting 9% When a mistake is made, but is caught and corrected before affecting the patient, how often is this reported? 0% When a mistake is made, but has no potential to harm the patient, how often is this reported? 6% When a mistake is made that could harm the patient, but does not, how often is this reported? 22% Dimensions (Unit Level) Supervisor/manager expectations and actions promoting safety 57% My supervisor/manager says a good word when he/she sees a job done according to established patient safety procedures [+] 26% My supervisor/manager seriously considers staff suggestions for im- proving patient safety [+] 68% Whenever pressure builds up, my supervisor/manager wants us to work faster, even if it means taking shortcuts [–] 68% My supervisor/manager overlooks patient safety problems that hap- pen over and over [–] 63% Organizational learning — continuous improvement 39% We are actively doing things to improve patient safety [+] 53% Mistakes have led to positive changes here [+] 42% After we make changes to improve patient safety, we evaluate their ef- fectiveness [+] 21% Teamwork within hospital units 84% People support one another in this unit [+] 100% When a lot of work needs to be done quickly, we work together as a team to get the work done [+] 84% 161 Statements by domain PPR 1, % Teamwork within hospital units (continued) In this unit, people treat each other with respect [+] 79% When an area in this unit gets really busy, others help out [+] 74% Communication openness 53% Staff will freely speak up if they see something that may negatively affect patient care [+] 68% Staff feel free to question the decisions or actions of those with more authority [+] 42% Staff are afraid to ask questions when something does not seem right [–] 47% Feedback and communication about error 18% We are given feedback about changes put into place based on event reports [+] 16% We are informed about errors that happen in this unit [+] 21% In this unit, we discuss ways to prevent errors from happening again [+] 16% Nonpunitive response to error 35% Staff feel like their mistakes are held against them [–] 53% When an event is reported, it feels like the person is being written up, not the problem [–] 37% Staff worry that mistakes they make are kept in their personnel file [–] 16% Staffing 32% We have enough staff to handle the workload [+] 42% Staff in this unit work longer hours than is best for patient care [–] 16% We use more agency/temporary staff than is best for patient care [–] 53% We work in “crisis mode”, trying to do too much, too quickly [–] 16% 162 Statements by domain PPR 1, % Hospital management support for patient safety 33% Hospital management provides a work climate that promotes patient safety [+] 32% The actions of hospital management shows that patient safety is a top priority [+] 32% Hospital management seems interested in patient safety only after an adverse event happens [–] 37% Dimensions (Hospital-wide) Teamwork across hospital units 24% There is good cooperation among hospital units that need to work to- gether [+] 16% Hospital units work well together to provide the best care for patients [+] 26% Hospital units do not coordinate well with each other [–] 16% It is often unpleasant to work with staff from other hospital units [–] 39% Hospital handoffs and transitions 19% Things “fall between the cracks” when transferring patients from one unit to another [–] 16% Important patient care information is often lost during shift changes [–] 21% Problems often occur in the exchange of information across hospital units [–] 16% Shift changes are problematic for patients in this hospital [–] 22% Average across composites 35% Table 4.7: Proportion of positive response by dimensions, Hospital Survey on Patient Safety Culture 1Proportion of positive response 163 Areas of Focus As with the PSHCO analysis, areas of focus were analyzed graphically using a performance improvement grid. Performance Improvement Grids Key domains identified by comparison of the proportion of positive response to the correlation with the overall pa- tient safety grade [Figure 4.2] were: • TEAMWORK ACROSS UNITS (proportion of positive response = 24%; correlation to unit grade, 0.66), • HANDOFFS AND TRANSITIONS (proportion of positive response = 19%; correlation to unit grade, 0.51); and • FREQUENCY OF EVENT REPORTING (proportion of positive response = 9%; correlation to unit grade, 0.57) Key items identified comparing to the unit patient safety grade using the same graphic approach at the level of individual survey statements are: • “Patient safety is never sacrificed to get more work done” (OVERALL PERCEPTIONS OF SAFETY: proportion of positive response = 26%; correlation to unit grade, 0.72) 164 Reporting Reporting P rception Perception Events Events Acti ns Actions L arning Learning T mwork Teamwork Ope ess Openness F dback Feedback spo se Response St ffi g Staffing u r Support Coo e ation Cooperation r s i ns Transitions -.2 - .2 0 0 .2 .2 4 .4 6 .6 8 .8 1 1 l i to Patient Safety Grade C o r r e la t io n t o P a t ie n t S a f e t y G r a d e 0 .2 .4 .6 .8 1 o r i of Positive Response Proportion of Positive Response HSPSC (n=19) HSPSC (n=19) Figure 4.2: Performance improvement grid by domains on the Hospi- tal Survey on Patient Safety Culture • “When a mistake is made, but has no potential to harm the patient, how often is this reported?” (FREQUENCY OF REPORTING: propor- tion of positive response = 6%; correlation to unit grade, 0.64) • “When a mistake is made that could harm the patient, but does not, how often is this reported?” (FREQUENCY OF REPORTING: propor- 165 tion of positive response = 22%; correlation to unit grade, 0.76) • “My supervisor/manager says a good word when he/she sees a job done according to established patient safety procedures” (ACTIONS PROMOTING SAFETY: proportion of positive response = 26%; corre- lation to unit grade, 0.53) • “Staff feel free to question the decisions or actions of those with more authority” (COMMUNICATION OPENNESS: proportion of positive re- sponse = 42%; correlation to unit grade, 0.67) • “We work in “crisis mode”, trying to do too much, too quickly” (STAFFING: proportion of positive response = 16%; correlation to unit grade, 0.72) • “Hospital units do not coordinate well with each other” (TEAMWORK ACROSS UNITS: proportion of positive response = 16%; correlation to unit grade, 0.63) • “Things fall between the cracks when transferring patients from one unit to another” (HANDOFFS AND TRANSITIONS: proportion of posi- tive response = 16%; correlation to unit grade, 0.63) • “Problems often occur in the exchange of information across hos- pital units” (HANDOFFS AND TRANSITIONS: proportion of positive response = 16%; correlation to unit grade, 0.75) 166 The performance grid approach points towards how safety was per- ceived to be primarily threatened by time pressures and the coordination of patient care across providers and units. The unit patient safety grade was positively associated with how participants felt about speaking up, and reporting errors and no harm events. Whether or not a “good word” was said in recognition of “safe” procedures was also considered to be important for perceptions of safety. Benchmark Comparison No significant difference between results from the local ED (n = 19) and results from ED respondents in the 2009 AHRQ HSOPSC database (n = 9703) was demonstrated on the average across composites (p = 0.1015). No significant difference was demonstrated on the domains NUMBER OF EVENTS REPORTED, TEAMWORK WITHIN UNITS, COMMUNICATION OPEN- NESS, and NONPUNITIVE RESPONSE (p>0.05), whereas the proportion of positive responses from the local ED was significantly less on all other do- mains [Table 4.8]. This comparison highlights two clusters of differences. Although there was no significant difference in NUMBER OF EVENTS REPORTED, near miss and no harm events were not reported, and significant differences were seen on the domains FEEDBACK ABOUT ERROR, ORGANIZATIONAL LEARN- ING, and ACTIONS PROMOTING SAFETY. Together, these findings suggest that there was less an issue with reporting, but more with response and 167 learning. The other cluster of significant differences involved perceptions of senior management and interactions across units. Responses on these domains reflect a disconnect between administration and the department, and fragmentation across units in caring for patients who present to the ED. Proportion of positive response, % ED 2009 AHRQ Domain n=19 n=9703 Outcome Measures Overall perceptions of safety 17% 56%§ Frequency of event reporting 9% 55%§ Dimensions (Unit Level) Supervisor/manager expectations and actions promoting safety 57% 72%§ Organizational learning–continuous improve- ment 39% 65%§ Teamwork within hospital units 84% 79% Communication openness 53% 62% Feedback and communication about error 18% 56%§ Nonpunitive response to error 35% 37% Staffing 32% 49% Hospital management support for patient safety 33% 62%§ 168 Proportion of positive response, % Domain ED 2009 AHRQ Dimensions (Hospital-wide) Teamwork across hospital units 25% 49%§ Hospital handoffs and transitions 19% 49%§ Average across composites 35% 58% Table 4.8: Comparison of the proportion of positive response by do- mains on the Hospital Survey on Patient Safety Culture between the ED questerview sample and individual responses from EDs in the 2009 AHRQ database 4.2.3 Comparing Survey Findings Placed side by side, results using the PSCHO (n = 40) and HSOPSC (n = 19) instruments provide slightly different perspectives on patient safety in the ED. First, results with the HSOPSC are more negative overall. The av- erage proportion of problematic responses across composites was 27 per- cent using the PSCHO, and 65 percent using the HSOPSC. Comparing re- sults from identical statements on both instruments (PSCHO items 39, and 29 to 32, are identical to HSOPSC items E1, and B1 to B4) also suggests this trend for unit patient “safety grade”, but not for supervisory leader- ship. The unit level patient “safety grade” was problematic for 22 percent of PSCHO participants, but 47 percent of the ‘questerview’ participants using the HSOPSC. Fifty three percent of PSCHO participants gave the unit a more than “acceptable” grade, whereas only 16 percent of ‘quester- 169 view’ participants did. However, results on the domains supervisor/man- ager expectations and actions promoting safety/supervisory leadership for safety were not different between the two samples (average propor- tion of positive response on the 4 items: PSHCO – 53%, HSOPSC – 56%). Second, comparing similar domains on the PSCHO and HSOPSC [Ta- ble 4.9], suggests that perceptions on patient safety elicited using the dif- ferent instruments were similar, and possibly stable over time: PSHCO HSOPSC Senior leadership support for safety (valu- ing safety) Hospital management support for patient safety Fear of repercussions Nonpunitive response to error Learning culture Organizational learning–continuous im- provement Reporting culture Feedback and communication about error Table 4.9: Comparable domains on the PSCHO and HSOPSC • The proportion of positive response on the domain of senior leader- ship support for patient safety was similar (PSCHO – 39%, HSOPSC – 33%), • The proportion of positive response on the domain of learning was similar (PSCHO – 55%, HSOPSC – 39%; p=0.267), and • The proportion of positive response on the domain of reporting and feedback was similar (PSCHO – 34%, HSOPSC – 18%; p=0.218). 170 Non-significant differences are interpreted with caution, given the sample size and variance, and failure to detect a difference may reflect a Type II error. In contrast, fear of repercussions from reporting a patient safety inci- dent, was higher among ‘questerview’ participants (PPR: HSOPSC – 35%, PSCHO – 74%; p = 0.009). This difference might be explained by a time trend, or possibly even an effect of the research. Perceptions on this do- main might have changed over the almost 2 years between the start of the ‘questerview’ phase and the timing of the organizational patient ‘safety culture’ survey. Less fear of repercussions could also have contributed to the improvement in the patient “safety grade”. Alternately, the differing proportion of physicians in the two samples might account for this dif- ference. On the PSCHO instrument, physicians were significantly more likely than nurses to offer a problematic response on the domain FEAR OF REPERCUSSIONS. There weremore physicians in the ‘questerview’ sample, and their perceptions of repercussions might weight the composite result. Finally, the difference is not likely to have been an effect of the statement wording, since both instruments used reverse worded statements on these domains. Third, comparison of the performance grids suggests an area that was considered relevant to patient safety in the ED that did not appear on the PSCHO tool. Coordination of care across person, place and time, that is providers and units, was identified as an area of importance, and one 171 which ‘questerview’ participants felt was problematic. In addition, the issue of leadership figured more prominently on the PSCHO compared to the HSOPSC, although the proportion of positive response on both the senior leadership and supervisory leadership were not significantly different between instruments. The difference lies in the strength of the correlation with the patient safety grade. Perceptions of senior leadership support and supervisory leadership had the highest cor- relations with unit patient safety grade (0.61) on the PSCHO, whereas perceptions of teamwork across hospital units had the highest correlation with unit patient safety grade (0.66) on the HSOPSC, and leadership at the departmental level and the organizational level was only weakly associ- ated with the unit patient safety grade (Spearman ρ ≤ 0.20). Finally, the benchmark comparisons with other EDs point to opportu- nities for improvement on disclosure and learning, coordination of care across units, and leadership for safety. Put together, these two “wet fin- ger” perspectives on the safety climate of the ED point to learning from patient safety incidents and coordination of care across transitions as the primary areas to address. The findings also highlight differences in per- ceptions among disciplines, hierarchies, and work areas . In short, these data provide a thin description and support what is known. 172 The secret of the care of the patient is in caring for the patient F.W. Peabody Chapter 5 Safety Matters I turn in this chapter to the findings that emerged from the semi-structured, in-depth ‘questerviews’ and focus groups. The chapter is divided into two main sections. In the first section I present findings by domains on the Hospital Survey on Patient Safety Culture and the overlapping themes from the group interviews. In the second section I present the major nar- ratives that emerged across domains and in the conversations and stories about patient safety in the ED. In using the HSOPSC as a semiotic tool within a constructivist-inter- pretive framework, I elicited multiple interpretive frames as participants reflected on their responses to the survey statements. I note that futility, not fear, emerged as the greatest barrier to reporting and safety learning. I reflect on stories and safety relevant issues that were not captured by the survey instruments, such as decision making and security. Using group 173 interview findings I further explore how ED healthcare practitioners and staff perceive patient safety. Here again I find perceptions vary between physician and nurses when considering threats to safety and potential ar- eas for focus. I then compare practitioner perspectives with organizational artifacts, including accreditation and external review documents. I show how stories related to patient deaths in the waiting room prompted orga- nizational learning, and how this safety issue in the local ED led to the regional Over Capacity Protocol (OCP). 5.1 ‘Questerviews’ and Group Interviews Here I include findings from all ‘questerview’ participants, including hos- pital administration and physician and nurse participants from another hospital [Table 5.1], as well as from focus group participants [Table 5.2], and review of organizational documents. Characteristic Number Proportion Primary work area Emergency Department A 19 0.73 Emergency Department B 4 0.15 Administration 3 0.12 Direct patient contact Yes 22 0.85 No 4 0.15 174 Characteristic Number Proportion Role Emergency Nurse 7 0.27 Nurse Leader 5 0.19 Staff 3 0.12 Physician 8 0.31 Administrator 3 0.12 Hours per week less than 20 3 0.12 20-39 8 0.31 40-59 14 0.54 60-89 1 0.04 Time in profession 1-5 years 7 0.27 6-10 years 7 0.27 11-15 years 7 0.08 16-20 years 3 0.12 21 years or more 7 0.27 Time in current work area less than 1 year 5 0.19 1-5 year 7 0.27 6-10 years 7 0.27 11-15 years 5 0.19 16-20 years 2 0.08 175 Characteristic Number Proportion Time in organization less than 1 year 4 0.15 1-5 year 6 0.23 6-10 years 4 0.15 11-15 years 5 0.19 16-20 years 4 0.15 21 years or more 2 0.08 Gender Female 14 0.54 Male 12 0.46 Table 5.1: Characteristics of ‘questerview’ participants. Characteristic Number Proportion Role Emergency Nurse 5 0.29 Nurse Leader 2 0.12 Staff 4 0.24 Physician 6 0.35 Gender Female 8 0.47 Male 9 0.53 Table 5.2: Characteristics of focus group participants. 176 Standardized statements from the Hospital Survey on Patient Safety Culture  were a useful semiotic stimulus to prompt participants to re- flect on and discuss their understanding of terms, concepts and percep- tions related to patient safety in their everyday practice in a hospital ED. The text of the survey served as a microcosm for identification, and as a provoker for comparison . I invited participants to reflect on their experience, share stories, and explore possibilities in conversation with me. Stories and narrative accounts were triggered by survey items, or fol- lowing my queries and prompts, and led to rich and detailed data . Nuance, ambiguity and confusion were elicited as participants explored the boundaries between real and ideal. Participants often downgraded or rarely upgraded their response upon reflection. Emphasis was on what was usual or normal, contrasting the myth of safety with the grit of every- day practice. With rare exception, participants noted this was the first time that they had been involved in a survey or interview on patient safety. Some ex- pressed surprise that I was not conducting the study at the behest of ad- ministration, and were more open when reassured. For others, there was hope that talking about patient safety would lead to change, for in the words of a nurse leader: Safety has tended to point blame and be a very judgmental pro- cess, and it hasn’t been one that has been very engaging for most people to be involved with. So I think to take on the issue 177 of safety is a big issue, and it’s going to poke holes in a lot of people’s skin because it’s a tender area. [Questerview, nurse leader, lines 17-21] For most, there was simple relief to have someone listen to their stories and concerns, which invariably were many. Most interviews went beyond the scheduled time at the urging of participants because they had more they wanted to say. In all, initiating an authentic dialogue about patient safety with my colleagues has proven to be a rich and rewarding under- taking. The conversation continues. There was no uniform impression about the survey as a tool. Physi- cians and non-clinical administrators and staff, in particular, felt that many sections were not applicable to them or did not translate into what they do. One administrator noted they had lots to say, but were not sure it fit into the survey questions. Several participants questioned whether they were to comment as individuals or on the unit as a whole, or from which per- spective, such as educator or clinician, they were to answer. Some found the lack of contextual background made statements difficult to interpret, or could think of competing examples that forced them to average, or neu- tralize, their response. More telling perhaps, were comments about their difficulty or inability to answer statements about reporting and organi- zational response because they either did not know what or how many events had been reported, or were unaware of safety initiatives in the or- ganization, such as the safety intranet or Safer Healthcare Now! All partic- 178 ipants, however, noted that the statements prompted them to reflect on their experience, and although they may have had difficulty choosing a Likert-like response, they were nevertheless able to bring a story to mind. At times, the conversation drifted to other frustrations with the system, and particularly regarding delays in care that may not always pose a threat of patient harm. Hence, therewas blurring between the perception of what is “unsafe” and what was an undesired outcome. I invited participants to begin with the area or statement on the sur- vey they felt most strongly about, or if they had an “ah ha” moment as they went through the statements. There was no common starting point as participants worked through their responses to the survey items, but most often they began with a discussion about reporting, leadership, or teamwork, implying that these were perhaps the most salient areas. Fur- thermore, the pattern that emerged suggests that domains were collapsed and grouped into five main areas: overall perceptions of safety, leadership for safety, reporting and response, learning, and teamwork. 5.1.1 Overall Perceptions of Patient Safety Overall perceptions of patient safety seemed to fall into two groups. All of the emergency physician participants, and the majority of emergency nurse participants who provided bedside care, gave the ED a “poor” pa- tient safety grade. In contrast, participants who were in an administrative, departmental leadership, or non-clinical role gave the department an “ac- 179 ceptable”, “very good”, or even an “excellent” grade. Exceptions to this apparent division included a nursing educator and senior administrator who also gave the department a “poor” patient safety grade. Primary reasons for the “poor” overall perception centred on the perceived lack of organizational support to care for patients safely, coordination and interac- tions with supporting departments, and the lack of discussion and learn- ing about patient safety threats. Most participants who rated the patient safety grade as “poor” were reluctant to give it a “failing” grade because, in the words of one physician: We’re not failing. We provide good care every day most of the time, but I don’t think its “acceptable”. I don’t think the status quo is anything near acceptable, and the only thing between “failing” and “acceptable” is “poor”. Do I think we’re actually poor? Depend[s] on the lens you use. Think about infection control, I think we’re failing . . . under the conditions that we’re working under, the vast majority of the patients get good care and have good outcomes, so I don’t think we’re absolutely fail- ing. [Questerview, physician, lines 2362-2407] Another physician, however, on further reflection, downgraded to a “fail- ing” grade: Because we have absolutely no way to measure, we have no operational definitions of what is safe and what isn’t safe, we 180 haven’t identified areas where our greatest opportunities for improving safety lie, we have no ability to measure a baseline of where we’re at with those indicators, and we certainly have no ability and no present framework to measure any potential improvement. There’s an atmosphere of anecdotal, shift-by- shift reporting and communication around safety and misses and adverse events, but there’s no formal mechanism or com- munication strategy to spread it out to all members of the de- partment, and certainly none to translate that into action and system changes. It just doesn’t exist. [Questerview, physician, lines 840-847] On the other hand, the nurse who proffered an “excellent” grade qualified their attribution, stating it was “not viewed as an outcome”, but rather because: What I see is people wanting to give the best care that they can and people caring about giving the best care they can and people wanting to improve the system. [Questerview, nurse, lines 1669-1671] Similarly, one of the nurse leaders, who gave the department a “B+” ex- plained that: The reason why I gave it a B+ is because of the team. I’ve been here fourteen years. There’s something special about this hos- 181 pital. I think of it actually as a spirit. It’s the energy that’s here. It’s like a small town hospital, but it’s not. People here are warm; people are friendly. People smile at you in the hallway. Andmaybe also I’ve got that attachment because I’ve been here since I was a student nurse, so it’s like a second home. This one is the best because of the team, and I think because of the way people pull together. [Questerview, nurse leader, lines 1612- 1678] Safety, however, is not about trying hard, nor is about measuring and counting. It is, however, about communication and action to achieve a collective sense of what is happening in order to reduce the potential of pa- tient harm. Good working relationships offer a healthy dynamic to build from, but alone cannot counter the system constraints that “aid and abet us” . Two statements about the overall perception of safety brought out dif- fering interpretations: “Patient safety is never sacrificed to get more work done”, and “It is just by chance that more serious mistakes don’t hap- pen around here”. Several participants felt uncomfortable with the words “sacrifice” and “chance”. They refused to believe that providersmight sac- rifice patient safety, or that the safety of patient care might be capricious or tenuous. They preferred to think that providers tried hard, had the pa- tient’s best interest at heart, andworkedwell together as a team, or trusted that the processes in place were adequate to prevent serious mistakes from 182 happening. Thus, they held to a professional perspective of control. Their understanding was that “chance” implied lack of responsibility more than surprise. On the other hand, “Bullshit . . . Patient safety is sacrificed every single minute” [Questerview, nurse, lines 3047 and 3059] was the response from a nurse who went on to suggest that it was the competition for scarce re- sources such as space and staff in order to deliver care to a population of patients that often placed individual patients at risk. For example, a major trauma or critically ill patient, or sometimes a violent scenario, might draw resources away from other less acutely ill, injured, or aggressive patients. Nurses might be left to care for more patients in order for the department to cope. What happens sometimes because of the workload in the de- partment is that nurses are pulled from areas because you have more acute patients elsewhere, so they feel unsafe with the number of patients they have. But its the temporary thing that has to be done until the crisis is dealt with. Once I was there when it was left to one nurse in the back with all the patients. “Well, this is unsafe.” People get really overwhelmed, but that’s going to happen. It happens because of the work environment and you don’t have a lot of control over that. You do have to pull resources when you have several critically ill people that need a lot of intervention. So when it says, “Patient safety is 183 never sacrificed”, well, sometimes it is, but I think the patients aren’t abandoned. There’s someone there but the standard of care is less than what it should be and it has to happen because of the events in the department. [Questerview, nurse leader, lines 1089-1102] This common moral and ethical dilemma in an ED hinges on a needs- based distributive justice, rather than one of equity or equality. Indeed, the principle of triage centres on this point, that scarce resources are appor- tioned to those most in need and who are likely to benefit. It also reflects a belief that standards ensure safety, even if, by maintaining standards, safety is then threatened by the dynamic of the department. While it is perhaps understandable that providers involved in the di- rect delivery of care might have a more negative perception of patient safety than administrators and support staff who have no direct patient contact, it surprisedme that clinical leaders, that is those nurses and physi- cians who have both clinical and leadership roles, would have a more favourable overall perception of patient safety. In spite of what I might expect is a greater understanding of departmental operations, and there- fore the threats and hazards to patient care, clinical leaders, with the ex- ception of one nursing educator, rated their overall perception of patient safety in the department as “acceptable” or “very good”. Perhaps by their level of experience they have normalized the threats to safety (“happens all the time”), and/or have internalized the heroic belief of stoic fortitude 184 and control in the face of adversity (“we make things happen”). Three specific safety vulnerabilities were repeatedly raised in conver- sation. First, physical space and configuration of the department was seen by most as a significant inhibitor to communication. The physical disjointedness of the footprint contributes to fragmentation, and threat- ens patient safety. Having to search for people, equipment or supplies is a source of frustration and a waste of time. The second vulnerabil- ity was infection control. Attempts to provide infection control within the operating environment of the ED is a challenging task given the lim- itations of space, and the co-location of immunocompromised patients and Methicillin-resistant Staphylococcus aureus (MRSA) or Vancomycin- resistant enterococci (VRE) contacts. Finally, the issue of security, although not included on the survey instrument, came up across interviews and fo- cus groups. I will return to this issue of “sanctuary” in Section 5.2.1. 5.1.2 Leadership for Safety While no participants felt that unit management encouraged putting pa- tients at risk for the sake of departmental flow, at the same time there was an expectation to cope, and work to keep up. Participants also did not en- dorse that unit management intentionally overlooked patient safety prob- lems, although examples were given of systemic threats where action was slow or, in the case of the isolation room that did not work, consisted of waiting until the department renovation. The statement about established 185 patient safety procedures on the other hand elicited chuckles nearing de- risive laughter. ‘Established patient safety procedures.’ What are they? (laugh- ter) Where do I get a copy? [Questerview, nurse, line 559] Indeed, the idea of a pat on the back for a job well done was foreign to physicians and nurses alike. Coping with the demand of seeing more peo- ple than the space was designed for, further constrained by limited staff and resources, was enough to manage. I’ve had to at different times during a shift go up to whoever was running the shift and say, “This is happening,” or, “That’s happening,” and, “I don’t feel safe,” or whatever, and a lot of the response I’ve got is like, “Well, what do you want me to do about it?” And it’s not because they don’t care, but it’s because they seem to be butting their heads against any assistance from above. And their exhaustion and their frustration with the sys- tem leads them to forget about patting their staff on the back and that sort of doesn’t become a concern anymore because they’re just trying to keep their head above water to run things and get through. [Questerview, nurse, lines 683-695] Here again is the theme of coping, leaving limited capacity for the posi- tive or proactive. Beyond the clinical leaders on shift, the departmental 186 manager articulated their belief that it is the system that is the prime con- tributor to patient safety events and not the person involved. There was no reward for reporting, feedback was limited, and system level analyses were rare to nonexistent. This in part because the manager has neither the training, time, nor resources to do this. Responding to incident reports is but one of many items on the table, which points to larger organizational factors and commitments. Whereas some emergency care providers acknowledged the efforts of leadership to put programs and processes into place to support patient safety, and in particular, the recent implementation of the OCP, there re- mained general discontent and criticism of leadership for their lack of vis- ibility and slowness to respond. You never see them physically down in the department, watch- ing what actually happens, and yet they make these critical de- cisions about how we’re expected to function . . .Writing inci- dent reports is definitely a necessary procedure but it’s actu- ally very limited in the results that it achieves because a lot of things really go, not ignored, but unmanaged . . .And that is a huge disappointment, that it comes down in the end to money- related choices by management and administration staff where that level of safety and security provided to us is compromised. That’s a disappointing thing about here, and that’s one of the contributing things to my answer being “poor”. [Questerview, 187 nurse leader, lines 285-287, 973-975, 2103-2106] The disconnect between the articulation of patient safety as a organiza- tional priority and the actions taken to support the provision of safe care left many perplexed and frustrated. They did not feel supported by lead- ership, and felt that leadership only acted in response to the patients who died in the waiting room in 2005. Conditions needed to reach crisis level before there was palpable action. Leadership did not give priority to safety. At the time, in the view of one administrator: We have focussed the majority of our effort on interventions at the level of the staff andwe haven’t engaged the leadership and really do not have an organizational strategy or any commit- ment by the senior team . . .And our patient safety committee is not very effective. It’s more like a clearinghouse and it doesn’t really provide leadership. So I think we have lots of work to do to engage the leaders and the senior leadership team and the board in a more meaningful way. [Questerview, administrator, lines 665-676] There have since been changes for the better, with an optimistic sense that attention is being paid to this issue, and that there is some sense of com- mitment from administration and leadership to understand and improve, even if results are slow in coming. Patient safety now has a higher vis- 188 ibility in the organizational structure, yet there remains a gap between management and care providers, and between the department and the or- ganization. 5.1.3 Reporting and Response There is a complete lack of systematic reporting and learning from patient safety events. There is no consistent approach, and what exists is opaque. Event reporting for threats to safety is uncommon or nonexistent. Ambi- guity about what constitutes a reportable event is evidenced by the phrase “no harm, no foul”. Does it get reported? No, it doesn’t get reported. No harm, no foul. Everyone goes home. [Questerview, nurse, lines 1595- 1596] Speaking up about patient safety incidents is a critical aspect of the team learning process, but under reporting of patient safety incidents is common, and often motivated by futility or fear. “No harm” events were rarely reported, and were more commonly viewed as a personal lesson for those involved. Although learning from experience is the primary pur- pose of reporting , most learning is ad hoc and local, rather than sys- tematic and organizational. Interdisciplinary departmental communica- tion about patient safety incidents is uncommon. Futility emerged more commonly as a reason for lack of reporting than fear of repercussions. The phrase “why bother?” was repeated across in- 189 terviews, and was most often heard from nurses. Lack of response from reporting is demoralizing, leading to disengagement and resignation. And it does something somewhere, and then either nothing happens, you see nothing, or then you think you’re unimpor- tant, so why would I bother filling out a form if I’m not impor- tant? [Questerview, nurse leader, lines 894-895] Voice Voice and silence in organizations are separate yet parallel multidimen- sional constructs . The key differentiating feature is not the presence or absence of speaking up, but rather the actor’s motivation to withhold or express the ideas, information, and opinions about work-related im- provements that they have. Van Dyne, Ang and Botero’s  ideal 2x3 typology also emphasizes three behaviours and motives: disengaged be- haviour based on resignation, self-protective behaviour based on fear, and other-oriented behaviour based on cooperation. By this typology, reporting of patient safety incidents falls under other- oriented behaviour based on cooperation and altruism. Speaking up to express constructive ideas for change comes from ProSocial cooperation. However, what seems to be more at play in the ED is disengaged be- haviour based on resignation. Feeling unable to make a difference (“why bother?”) may result from spirals of silence. Contextual variables cre- ate conditions conducive to silence, and collective sensemaking dynam- 190 ics create the shared perception that speaking up is unwise . Re- luctance to speak up, silence, or information withholding potentially un- dermines decision-making and error correction, and damages trust and morale . Real damage occurs (both organizationally and psycholog- ically) when employees feel unable to voice their concerns. Hierarchies restrain free communication, particularly criticisms by low-status mem- bers toward those in higher-status positions. This well documented power effect recommends against an employee-to-manager reporting structure, and suggests a peer-to-peer dynamic may be more productive for safety reporting and learning . Interestingly, focus group participants expressed appreciation for the opportunity to voice, for they lack a safe place to talk, knowing they are not going to be judged. However: If something bad happened, as in a patient came in and shot somebody, everybodywould do the thing, right, because you’ve got to do the thing in the moment. If somebody were to screw up, I’m not sure. It depends who it is, it depends how it hap- pens, it depends partly on the outcome to the patient, but partly on also the impact on the department. If you . . . fuck up and make us all look bad, not so good. We may or may not support you. I’m not so sure. I think there’s a lot more of the wag- ging tongues stuff. “Did you hear about so-and-so? Oh, da- dah happened.” “Well, do you know what happened?” “Well, 191 that’s what I heard happened.” So, the gossip. The negative, bad gossip is a more common thing. [Questerview, physician, lines 407-415] This reflection is consistent with tolerance for mistakes if perceived to be within the norm “there but for the grace of God go I”, yet if perceived to be a result of bad judgement, then social repercussions may follow . Incident Reports There were 133 incidents reports involving care in the ED that were filed in 2008, with the majority originating from outside of the department (Qual- ity Improvement, personal communication). Major categories included medication (drug, delivery, documentation, and identification), treatment and procedure (orders, execution, protocol), and transfer of care, with each comprising approximately one-fifth. Patient falls, communication and laboratory related incidents make up another one-fifth in approxi- mately equal proportions, with the remaining 20 percent comprised of interactions with other services, security, health records, patient identi- fication, equipment, and standards. The general perception is that if an incident report is filled out, it would most likely be for a more concrete event such as a patient fall or a medi- cation error like “wrong drug, wrong patient”. These are by far the most commonly reported categories according to the operations leader. How- ever, even falls might only be discussed on the unit, or documented in 192 the notes. Rarely, if ever, would an incident report be filed for an event where a patient had an unordered blood draw or imaging by reason of misidentification or from entering the order in the PCIS on the wrong pa- tient. Although this potential patient safety threat happens on an almost daily basis, it is not one that is captured by the incident reporting system. In addition, diagnostic or treatment errors were unlikely to be reported as an incident, although they might be discussed at Morbidity and Mortal- ity (M&M) Rounds if death was the outcome, or the physician involved suggested the case be reviewed for learning. Nurses and ED staff were the only ‘questerview’ participants that re- ported filling out incident reports. None of the physician participants had filled out an incident report, although several had brought up cases at monthly M&M Rounds or had sent their patient care concerns by email to the department chair. This supports the notion that physicians are not engaged in the incident reporting mechanism, but do participate in other “reporting” channels. There was also a difference in perception with respect to incident re- ports received from the wards about care in the ED. Often these were felt to be nit picky, trivial or lacking in understanding of the working condi- tions and constraints of the department. Examples included medications that had been ordered but not given, although the medications had not arrived from pharmacy prior to transfer, or an intravenous solution that was not as ordered, although it was the end of the solution that had been 193 ordered in the department. That is, instead of wasting the solution, it was left to run, although a new order for a different solution had been placed by the admitting service. Reports such as these were felt not to reflect the realities of the ED, nor were they perceived to be a threat to patients, but rather they had the flavour of a “tattletale”. The response from some clinical leaders to events like missing a medi- cation or giving an extra tetanus shot, is suggested to be one of normaliz- ing and minimizing, evidenced by saying, “Don’t worry, it happens all the time,” or “No big deal, they’ll be fine; they probably needed one.” There is, therefore, a threshold of response where events that are perceived to be minor or inconsequential are not worth the effort to report. Indeed, in one story recounted, a nurse witnessed a clinical leader tear up an incident report and place it in the recycling bin. What then constitutes a threat, hazard or harm worthy of reporting, and by whose judgement is it to be decided? Is it that of the reporter, or that or the responder? I had to hunt for an incident report when it happened [medi- cation error] and I filled out an incident report because I was concerned . . . But it was definitely not . . . I don’t even know where it went. The shift supervisor was like . . . “nothing hap- pened” so he signed whatever he wrote on his little comment area and then off it went. And I never heard anything about it, I never saw any changes, I have no idea . . .Well, every time I’ve suggested something its been, “That happens here all the time. 194 Don’t worry about it.” [Questerview, nurse, lines 442-447, 692- 693] The onus of who fills out the report is also unclear, with some suggest- ing it is the responsibility of the person who discovers the threat and not the person involved in the patient safety incident. However, this borders on the “tattletale”, and “writing the person up”. How is someone who was not involved able to describe the detail of what happened? Would it not be more constructive for learning to invite the person or persons involved to tell their story and give value to their perspective from “in- side the tunnel” ? Little wonder that the process of incident reporting is emotionally loaded and viewed by some as ineffectual, unpleasant, and something to be avoided. More concerning, perhaps, is the comment from the risk manager, who receives all of the estimated 250 to 400 incident reports per month from throughout the organization, who said, “I could probably count on my hands and feet the number of incident reports I get from “Emerg”.” This in contrast to the departmental operations leader who suggested that inci- dent reports were “filled out all the time.” The discrepancy, it appears, is more a result of the fact that the operations leader was not forwarding all incidents reports to the risk manager as per the organizational reporting structure. The perception by several participants was that incident reports were not being attended to, or were only being dealt with at the unit level. The operations leader was seen to be very busy attending meetings, and 195 it may have been that incident reports were attended to “off the side of the desk” . This gives credence to the argument that futility is the primary barrier to reporting because of the limited response. Communication Openness Many participants noted that if an order is placed, even if on the wrong patient, or for the wrong medication or dose, that “newer” staff simply would take the order and do it, rather than expressing concern or ask- ing for clarification. There was a sense of “earning one’s stripes” which allowed those with more experience to have more confidence or more lib- erty to speak up. As a nurse educator noted, Junior staff don’t know what they don’t know and they’re also very reluctant to ask for help because they don’t want people to know that they don’t know something. Especially in the first six months of starting practice they will not ask for help because they don’t want to show that they don’t know some- thing; they’re trying to prove themselves. [Questerview, nurse leader, 174-179] Trust, it was suggested, was a factor why they might not question or voice a concern. After all, “the doctor knows what they are doing.” Clearly, setting a tone of collaboration in the interest of patient safety needs to include permission for voice, and particularly for those with less experi- ence or power. Would that we all, as physicians, nurses and staff, acknowl- 196 edge our propensity and vulnerability for failure, and offer gratitude for a colleague who asks to clarify. Closely linked was the issue of feedback. Universally, participants agreed that feedback was less than adequate. Reasons cited included the nature of a 24/7 operating environment, the lack of a departmental venue where all feel welcome, and the difficulty disseminating lessons learned. Individuals involved in an event might receive some feedback, but lessons learned would not necessarily be shared. There was no mechanism that participants felt was a useful communication channel. Although cases were discussed at M&M Rounds, a mechanism of accountability for fol- lowup of suggestions is lacking. However, as noted, M&M Rounds fail to reach the entire department and therefore have limited impact on system learning. Although there was no overt punishment for being involved in a pa- tient safety incident, many stories and examples suggested an undercur- rent of “shame and blame” remains. Several participants spoke of their own internal discomfort and guilt they felt contributing to patient harm; feelings of self doubt they experienced were far greater threats to the in- tegrity of self than the feedback of those around them. This points to a culture of perfectionism, and the personal effect and residue of guilt for individuals involved. For one nurse mentor, this individual response to error accounts for any sense of blame and shame in the department, and was emphatic that there was no “blame culture”. Indeed for nurses in gen- 197 eral, there was a sense that the traditional punitive culture was a thing of the past. Incident reports were no longer kept on personnel files, although communication was still between staff and management. Nurse leaders emphasized the effort they took to place the focus on the problem and not the person involved. Yet, for the operations leader, One of the hardest things for me as a manager is encouraging people that it’s not about people, it’s about systems, and how it’s our responsibility and the organization’s responsibility to improve the system so that errors are minimized, or that there is something in place that they can catch them before they actu- ally happen. So, that’s been a real challenge for me. [Quester- view, nurse leader, lines 19-23] In contrast, the incident was recounted of a nurse who was involved in a medication error and subsequently was required to have someone double check their dispensing. The scenario was all the more perplexing in that the nurse reported the incident, and they were not the only one in- volved. Apparently a patient admitted to psychiatry, but who remained in the ED because there were no inpatient mental health beds, was escalating and required medication for control. The patient had just received their regular medication, and the attending psychiatrist, who was unaware of this, asked for an additional dose of a sedative. The nurse took the verbal order, administered the medication, and then discovered the duplication. The patient suffered no harm, and in fact the situation was controlled to 198 prevent harm, but the nurse involved felt that a mistake had been made, and an incident report was filed. In response, the nurse was to have some- one double check all of their medication dispensing for a period of time. This was perceived as punitive and the nurse involved reportedly felt like a “bad nurse”. I have no way of checking the veracity of this account, but I have no reason to disbelieve the storyteller. This would suggest that all may not be as claimed by nursing leaders. From the experience of a nurse leader involved in responding to inci- dent reports comes this observation about feeling “written up”: When nurseswrite something, theywantme to follow up. They are writing because they’re uncomfortable to speak to that per- son directly . . .None of us say, “Could we have a discussion about this because I’m a little unclear about what you were do- ing. I’ve noticed that, for example, the patient is a GI bleed and you didn’t draw an INR and PTT. Can I ask you what your rationale was?” and give them an opportunity to go, “Oh, how stupid?” . . . Instead they write it up for me to go to that person and then they feel like they’ve been tattled on. I try very hard to encourage people to speak to the person directly because I don’t like that type of conflict, and yet it still ends up on my table. There probably is a bit of that, but I didn’t want to make that assumption. So I sat on the fence going, I don’t know, maybe some people do feel like that. [Quester- 199 view, nurse leader, lines 247-248, 252-259 This illustrates some of the problemswith incident reporting. First, it is not only about safety, and second, it continues to have a vindictive flavour. Just Culture The concept of a blame-free culture presented difficulty for some who felt a need for accountability. The concern for balancing learning and account- ability forms the basis for the concept of a “just culture” [511–514], but as the above scenario illustrates, there has been no agreement upon ac- tions that cross the disciplinary line. The process of having a manager or a manager’s arms-length designate respond to a patient safety incident is a process with pitfalls, and although incident reports are not kept on person- nel files “99% of the time”, as per the operations leader, the point remains that the relationship between reporter and responder is one potentially conflicted and distorted by dominance and power. Even without intent, isolating the individual involved can contribute to increasing shame, and does not contribute to organizational learning. For physicians, therewas appreciation that sometimes things gowrong, and it could happen to them. This was not perceived as blaming or puni- tive, and there was a general expression of gratitude if they were not in- volved, and sympathy for the person who was. On the other hand, if there was appearance of a lapse in judgement, then personal repercussions for the individual involved were more likely, and particularly so if it brought 200 disrepute to the department. Moreover, this judgement would not neces- sarily follow detailed analysis. This was not a formal reprimand, although that might occur, but more of a public shunning and threat to reputation. Too, there was the oft heard “what were they thinking?” said in a pejo- rative and narcissistic tone, rather than in an inquiring one. Commonly this would occur following a handoff or a transfer from another facility. If this question was asked to try and understand the view from “inside the tunnel” that would be positive, but sadly this is not always the case. 5.1.4 Learning Innovation and learning are positive features of the department, indeed the ED has been awarded for innovations such as computer physician or- der entry (CPOE) and the sepsis protocol, yet there is an apparent differ- ence between nurses and physicians with respect to learning. The physi- cian group has a culture of learning and innovation, and there have been significant changes which have had a direct impact on care delivery. M&M Rounds are seen as a venue for learning about patient safety incidents, but are also perceived as physician-centric with limited accountability. Nurses do not have a similar venue to discuss cases, nor do they feel particularly welcome to attend monthly M&M Rounds. Either they feel their input is not valued, or they have nothing to contribute to the physician led and oriented discussion. Notably, at the time, case presentations at M&Ms were often initiated by identifying the physician involved, but none of 201 the other care providers, inadvertently giving the impression that the case “belonged” to the physician and not to the team of providers in the depart- ment. The case presentation might have begun: “This was a patient seen by Dr. “So and So”, who by the way is the winner of the ‘Dr. Kevorkian award of the month’,” the latter being a dark humoured way of noting any physician who had more than one case presented at a monthly M&M Round. By contrast, Safety Huddles, touted as a means to communicate about patient safety concerns, were perceived to be nursing-centric, and proved to be a challenge for attendance. They lasted only a few months, and dropped off for lack of interest. It was difficult for providers on shift to attend if they were actively caring for patients, or for off-shift providers to come in for a 15-30 minute meeting, a factor that highlights the communi- cation and learning challenges of a 24/7 operating environment. Having two different venues for safety communication, one felt to be physician- centric, the other nursing-centric, and none staff-centric, or collectively- centric for that matter, speaks to the divisions in the department along professional lines, and the lack of cohesion as a community of emergency care providers. The idea of group learning or sharing lessons from patient safety in- cidents is limited because there is no forum for the majority of the staff. Here lies an opportunity for improving that aspect of learning, both in building trust and visibility as well as shared communication. Having a 202 multi-disciplinary or interdisciplinary focus, with buy-in and ownership of all members of the department, was suggested by several ‘questerview’ and focus group participants as likely to have the greatest impact. This points to the relational aspect of patient safety culture and the dynamic between management and staff, and between staff themselves. A spirit of collegiality and innovation offers a base from which to “create safety”. 5.1.5 Teamwork The issue of staffing elicited varied and nuanced responses. Staffing was perceived to be less of a problem than the distribution and experience of staff, and how the available staff were being utilized. Given the variability of patient flow, staffing at times was adequate, and at other times less than adequate, with “crisis” days standing out. Physicians were annoyed by nurse and staff sick calls, and found them problematic because care spaces would be closed, further constraining space. But it was not only physi- cians who were affected. Nurses were also left to shoulder a greater load, which had significant impacts. Quoting one, There was a period of time here when I was left alone on a very busy night; we were just short staffed. It was no one’s fault, it was just what happened. But it upset me, I mean it upset me for a long time, and we’re talking a month and a half I was pissed every time I came to work, and it was just the straw that 203 broke the camel’s back. [Questerview, nurse, lines 1386-1390] Working longer hours was more of an issue for nurses, with several questioning the value of 12-hour shifts, and many commenting that by 10-hours they are stretched. This was not agreed upon by all, and the financial benefit of this shift pattern with added overtime was suggested as a prime motivator. The local economy was suggested by one nurse as a factor as to why there was resistance to change. So while extra work was beneficial financially, eventually it led to more sick calls, and the cycle perpetuated. With a system-wide shortage of trained emergency nurses, there simply are not enough to fill the lines. That said, everyone seemed to agree that the staffing situation was worse in other departments. “Teamwork within the unit” was the one dimension that garnered uni- versally positive responses, with several reflecting that the support and camaraderie of their colleagues was one of the main reasons why they worked in this particular department. However, there was one caveat — the waiting room. We’re used to running flat out, but thenwe get three chest pains in a row or somebody who’s really sick, then for a brief period of time it’s brilliant. People get moved, stuff happens, peo- ple are creative. We’ve got the nurses we need, they’re help- ful, they’re sticking around, they’re not running off to break. . . .When the chips do get down they pull through and it’s al- most a joy to be around in that setting because you feel like 204 we’re doing some good. Everybody’s on the same page and we’re working well as a team. . . . But that doesn’t happen on a chronic basis . . .A bomb has to go off before you can get that sort of cooperation going, and the rest of the time peo- ple want to try and make our square peg fit in the round hole that’s being provided to us . . .On a given day when the place is in shambles and there’s [sic] people vomiting or whatever in the waiting room, to say “well, we’re not giving meds” as a blanket statement is really poor. The union can say what they want, and I agree there are certain safety concerns with certain medications, but refusing to start an IV and give someone an antiemetic is not valid at all. That’s just being mean. I don’t care what rules are around. The emergency department is a different animal from any other hospital unit because we are the interface; we have no control over what walks in the door. [Questerview, physician, lines 476-483, 530-532, 540, 542-543, 553-555] The difference in collective response between emergency physicians and nurses to patients being cared for in the waiting room because of ac- cess block to nurse-monitored stretchers, was seen as a divisive and decid- ing watershed on the spirit of teamwork and collaboration. The space re- source was limited by the number of patients admitted to hospital who re- mained in the ED until an inpatient bed became available. So, as the num- 205 ber of patients presenting to the ED for care increased, the only available space was often the hallway or the waiting room. Because waiting room space was not monitored, nurses felt uncomfortable administering med- ication. Moreover, there was a reluctance to exceed the nurse-to-patient ratio that had been won through negotiation. That left the care of patients lingering in the waiting room to the emergency physicians alone. At the height of the congestion, approximately one-third of patients seen on the acute side of the department were being assessed, investigated, treated and discharged without ever seeing an emergency department stretcher or a nurse other than at triage. Many a dayshift would be spent seeing every patient in a nontraditional care space and making do with what was available. This was a decidedly different way of practicing emergency medicine, one that mitigated the risk for patients waiting without know- ing their condition, and yet one that not everyone was comfortable with, and particularly nurses who felt it was “unsafe”. Here, out in plain view, in the waiting room of the department, was the polysemous, political and contestable definition of ‘safety’. For nurses, they perceived the risk of harm from an act of commission — adminis- tering a medication without adequate monitoring, while physicians per- ceived the risk of harm from an act of omission — not attending to an un- stable patient in a timely way. Neither was right, nor wrong. Both views had their merits, both were attempting to mitigate risk, but the burden of waiting room care largely fell to the physicians. 206 I think pre-waiting roommedicine there was a different level of support. There was a greater willingness to be patient-centred for both physicians and nurses, but there’s been a chasm cre- ated in terms of support with respect to the waiting room and the nurses have drawn a line in their own responsibilities not to go out there, andwe obviously have decided to support patient care in the waiting room and that’s probably the time when things changed . . .We would like nurses or other allied health professionals to go to the waiting room or to be as patient- centred as we might view ourselves and if that doesn’t hap- pen then respect starts to turn into frustration. [Questerview, physician, lines 90-95, 154-156] “Teamwork across units” on the other hand, was a dimension that gen- erated more negative responses. “Handoffs and transitions” were often included in the discussion about teamwork within and across the unit, ex- plained in part by the nature of the ED as an around the clock interface be- tween community and hospital, and the need for cross-scale interactions1 with diagnostic and admitting services. Whereas most providers attempt to provide the best care they can when the patient is under their care, that commitment does not seem to translate as well to the transition of care across services and the integration of care delivery between services dur- ing a patient’s stay in the department. The ED does not stop and close its’ 1Influences from below and above 207 doors. Weekends, evenings, and nights comprise more hours during the week than daytime weekday hours. Yet, the ED interfaces with services that do not function on the same time lines. Staffing is reduced, services are on call, and some resources may simply be unavailable. Here is one tragic story that illustrates this conflict. A young woman presented twice to the ED complaining of ab- dominal pain. Her abdominal pain apparentlywas non-specific with non-specific physical findings. The patient was given pain relief and discharged. She returned later with more pain and was re-examined. Her story and the physical presentation had not changed significantly, so pain management was increased and arrangements were made for the patient to have an ultra- sound. The second visit took place during the night on a Fri- day and the requisition for the ultrasound was placed in the computer as a routine, anticipating that it would happen on the weekend. The patient was instructed to follow up within 12 hours if they had not been informed to return for an ultra- sound. However, the ultrasound did not happen on the week- end, and the patient did not return to the department. When the ultrasound was performed onMonday, the impression was that she had an ovarian torsion. Gynecology was consulted and the patient underwent a laparoscopy, but unfortunately the ovary was necrotic and had to be removed. 208 This story was presented at M&M Rounds by the physician who saw the patient on the Friday night. Hindsight being what it is, there was frus- tration on their part because they felt perhaps they could have done bet- ter (such as phone the radiology resident and speak with them directly) and yet felt impeded because of the structure and processes of care within the hospital. This was a hard lesson to learn, but pointedly heightens the importance of direct communication in order to bridge gaps within the system. Had the patient presented at 9AM on a Tuesday morning, for ex- ample, the ultrasound would likely have been performed within 2 hours and the outcome might have been different.2 This story illustrates the interactions between providers and depart- ments that are the sine qua non of a an ED. A patient presents and is as- sessed. They require an investigation and perhaps a consultation. Other departments are involved, usually the laboratory or diagnostic imaging, but perhaps ECG, respiratory therapy, or social work. There is 24-hour coverage from the lab and ECG, but imaging such as computerized tomog- raphy or ultrasound require the availability of a resident, who may not be in-house, and would prefer to postpone the investigation until morning if possible. The consulting service may or may not have a resident or a student, or they might be on home-call, possibly across town at another hospital,3 or scrubbed in the operating room, or may be attending another 2The overall salvage rate for an ovarian torsion is about 10%, primarily because of delay in diagnosis 3An effect of regionalization of some services 209 sick patient and unable to attend in a timely fashion. The patient requires the services of the hospital, but the hospital does not always have the services readily available. It is then up to the judge- ment of the emergency physician to decide which patient can wait, and which patient needs more urgent attention irrespective of the hour or day of the week. But the diagnosis is uncertain, the illness dynamic. What appears to be stable at one moment, might quickly change for the worse. For some diagnoses it makes little difference whether it is confirmed in 1 hour or 1 week, but for others, time is critical, and early on it may not be straightforward to tell which is which. Not surprisingly, “Not Yet Diag- nosed (NYD)” is a familiar emergency physician attachment to pain syn- dromes such as chest pain or abdominal pain. The question that remains in the mind of many, is whose responsibility is the patient who has been seen and assessed by an emergency physician (who now has left), but has been referred to another service. Emergency staff are frustrated when several admitting services have been consulted but are unable to decide amongst themselves who should admit the pa- tient. Are they a medicine patient or a cardiology patient or a surgery patient? What if they have multiple issues, no one of which meets the threshold of admission, but the sum of which recommends a stay in hos- pital. Such was the case of an elderly victim of assault who suffered multi- ple bruises, lacerations, and non-operative fractures, yet lived alone and 210 lacked social support. The patient was left in the ED because the or- thopaedic service would not admit if no surgery was required, and the medicine service would not admit them without a medical problem, and although it was neither safe nor humane to discharge this patient, the problem-oriented, and provider-oriented organization did not address the patient-centred need and treat them “How you want to be treated”. If patients have a psychiatric illness, require mental health certification, and yet also have a medical condition that requires hospitalization, they “cannot” be admitted to the ward while they are certified under the Men- tal Health Act because they need a “sitter”. Also, if patients’ vitals signs are not within strict parameters, but they are not sick enough to require intensive care, then they become “Medical Exceptions to Transfer (MET)” and remain in the ED where they can be more intensely monitored than on the ward. The organization does not have a step-down unit to manage this patient need. Although the MET strategy was devised in the interest of patient safety, these patients are in effect in limbo, housed in the ED under the care of an inpatient service until such time as they improve or deteriorate to the point of requiring intensive care. I don’t knowwhat you people are going to do with me. I’m too sick to go to medicine and not sick enough for ICU. [patient under a MET] Either of these practices add to the brittleness of the ED, and effectively perpetuate access block, prolonged ED length of stay, and more frequent 211 implementation of OCP. So the acuity is ever increasing in the community. The inexpe- rience of ward nurses is ever increasing. So, we’re like . . . and exception to transfer, it’s just like . . .we’re undoing the work that we’ve done with OCP, right? I mean, the acuity of patients that we send up to the wards is high, but why not increase the resources up there? You know, not log jam it down here. Peo- ple are very, very, very frustrated with it down here. It’s this SBAR thing, you know? Making sure that the patient’s basi- cally ready for discharge before they’re sent up to the ward, you know? That there’s nothing wrong, they can be managed for at least a couple of hours without having a professional set their eyes, you know, that they’re that stable, right? People are really frustrated with it and also, they feel that our judgment’s being called into ?(question)?. And what we think is, what we deal with and what our comfort level is and, you know, the work that we’ve done to get them ready and they’re saying, “No, no, no, no.” They have to have . . .And there’s actually a checklist coming out now, you know? Cannot have respi- rations above 18. Heart rate cannot be above 90. There is a checklist and if they don’t meet that criteria, they don’t go up. [Triage Nurse] Yet, this is a hospital. When did the hospital lose the mandate to care for 212 sick people? The ED is not the only place in the organization that cares for sick people. Somehow, in the interest of ‘safety’, we have decided not to put sick people on floor wards in order to keep them ‘safe’, but to keep them in the ED where they can be monitored — effectively creat- ing a safety threat in ED in the form of access block. These are all features of the geographic fragmentation of hospital care. There are too many silos. There are too many divisions and from the patient’s standpoint, they don’t give a shit. They don’t care whether they are under this admitting service or this team. We talk about the patient’s journey, but because the system is still very provider-focussed, and not customer-focussed, every- one in their silos have all these rules and systems that mostly support the provider function. The patient’s floating in be- tween these silos and often it’s not to the patient’s benefit. We don’t integrate very well within the hospital. Even within the acute care stay of a patient, it’s not well integrated. Certainly connecting with pre-hospital and post-hospital in the commu- nity, we do that very, very poorly. [Questerview, physician, lines 235-244] There is no sense of the patient as the healthcare system’s patient, or the organization’s patient, or the department’s patient, or even the team’s pa- tient. We treat patients as individual practitioners, and refer to them in the 213 individual possessive “my/your” rather than the collective “our”. The mindset is fragmented, local, and reductive. I think we all work as individuals. This is my patient; I’m re- sponsible for this patient. . . it’s not the “hospital’s patient” or not the “team’s patient”. [Questerview, physician, lines 1010, 1017] The risk manager noted that while few incident reports come from the ED, many incident reports are filed about ED care, and the impressions are not “favourable”. I have mentioned already the delays or absence of med- ication delivery which may or may not be a consequence of busyness, but the other group of reports have the theme that the ED passes on the infor- mation they want the wards to know, and not necessarily the information the ward needs to know. Most concerning was that infection precautions for MRSA or VRE were apparently not being passed on, and the informa- tion not being discovered until after patients were already settled into an open ward bed without the necessary steps for isolation being taken. The perception was that this information was being intentionally withheld in order to move patients faster. I can only imagine that it is born out of frus- tration and need to free up space for patients in the ED, rather than any malicious intent to deceive. This concern speaks to the dynamic between the ED and the inpatient wards. The Over Capacity Protocol benefits the ED at the “expense” of the wards, whereas traditionally the ED has suf- fered for the “benefit” of the wards. The organizational realignment to 214 decongest the ED has been interpreted by some on the wards as “helping out the ED”, rather than pulling admitted patients to the most appropriate inpatient setting. The antagonism rises out of the stress of copingwith lim- ited resources. Staff are maxed. Anything extra fosters frustration, anxiety, and anger. What I find surprising is that we’re in an enterprise to im- prove people’s health and well being and yet sometimes the staff that work in this environment are less than caring and open in terms of communication between each other. Every- one’s overworked and stressed, but you know as well as I do how many unpleasant conversations you’ve had with various other groups because you’re just trying to get your job done and do the best for a patient. It always surprises me why is it that — and this is a common problem everywhere— that we’re in an institution that has these very altruistic goals of trying to help people’s health and wellness and yet we are often fighting with each other? We’re screaming at each other sometimes and disrespectful of each other sometimes. I don’t have any expe- rience with other industries, but it seems shocking that health- care sometimes is such an adversarial environment. I’m sure that affects patient care. [Questerview, physician, lines 201-207] 215 5.1.6 Comparisons Comparisons across time and space were made by several participants, looking either to times past, or other hospitals or countries where they had worked, to inform their perception of their current work environment. In- variably, things were better then or there, with the exception being that everyone thought they were better off than at any other local department. Comparatively, case complexity and violence were felt to be on the in- crease, and security concerns were more prominent. A decade ago the department was smaller, more of the same personnel worked with each other, patients were less violent, and the system and resources were not as strained. Now, however, communication and collegiality has deterio- rated. Staff cohesion is felt to be worse off, and outsourcing of support services is thought to diminish commitment to the department. As the na- ture of emergency work becomes more complicated, staff are feeling more fragmented and fearful. Staff turnover is thought to be more common than in the past. Of note, of the nineteen participants from the local emer- gency department who participated in the ‘questerview’ phase (excluding the organizational administrators and the care providers from the second hospital), twelve have since changed roles, have significantly reduced the amount of time that they are in the department, have moved onto other roles in the organization, or have moved away. This transient nature of ED staff poses a challenge for creating a safety culture. Exploring the differences between a more “developed” patient safety 216 culture and organizational processes in Australia and experiences here in Canada, suggests that we have not yet matured as healthcare organiza- tions. Patient safety is not yet part of the way we do things. What is done is done on a more informal and non-systematic level. The measure of reporting, including near misses and adverse events, in Australia is rou- tine whereas within the short period of time one participant has worked in Canada has already been marked by frustration and a sense of futility with reporting because there appears to be no feedback. 5.1.7 Gaps in the Instrument Several themes emerged in the interviews and focus groups that were not contained in the survey tools. Specifically, concerns about cognition and decision making was important for physicians, while concerns about se- curity was important for nurses. Physicians drew attention to the importance of cognition and cognitive errors, diagnostic errors, and the need to free up clinical decision-makers to make safe decisions, instead of cluttering their cognition with mainte- nance or managerial tasks. They were interested in the role of technology and/or system structures and processes that could help minimize their cognitive load. If you’re using all your CPU calculation time [note the computer model of cognition] to do a lot of maintenance functions, then you have less capacity to be actually making a lot of the bigger 217 clinical decisions you’re making. And you feel that on shift sometimes, that the fact that you are the only one that’s keeping track of whether this test was done or not done, or whether this was done . . .And you find it cluttering your head when you really should be thinking “What’s the probability of this person having this disease and what should I be doing?” ” [Questerview, physician, lines 378-385] Many participants noted that they did not feel safe in their workspace. This theme was present across interviews and focus groups, and is par- ticularly relevant to the population that we serve. Staff often felt unsup- ported, which not only affected their own sense of safety, but also affects staff retention. Perhaps staff need to feel safe in order to create safety. This recurrent theme forms part of the “sanctuary” safety narrative [see Section 5.2.1]. 5.1.8 Reflective Changes As I have already alluded to, some participants downgraded, or on one occasion upgraded their responses upon further reflection in conversation with me. This suggests that survey statements were often ambiguous and recommends the co-constructed ‘questerview’. 218 5.2 Narratives Having described findings by domains of the HSOPSC, I now turn to three major narratives that emerged across domains and in the conversation and stories about patient safety in the ED. 5.2.1 Narrative: “Safety is . . . ” What is ‘safety’, and how is ‘safety’ perceived by emergency care providers and staff? This is one of the questions I posed to the focus group partic- ipants. I invited them to engage in reflective conversation about how we provide care to patients in the department, and particularly about what ‘safe’ care is. I have already alluded to the polysemous and political aspect of ‘safety’ when I mentioned the different perspectives of nurses and physicians on what was ‘unsafe’ about delivering care to patients in the waiting room when no other care space was available. There is no universal and un- equivocal definition of safety, but here I use “freedom from unacceptable risks” . Yet, “unacceptable” and “risk” are polysemous social constructions, making ‘safety’ one as well. Hence, the lack of a common understanding of what comprised ‘safe’ care among focus group discussions with physi- cians, nurses, staff, and technicians is not surprising. There were multiple perspectives, with overlap. This became most evident when participants were asked to reflect on threats and hazards, and what they felt helps to 219 create safety in the department. My purpose in pointing out differences is not to create division, but to further understanding. Competence Standards For nurses and staff in one focus group, the biggest threat to patient safety was the lack of professional responsibility among nurses; they felt that the number one need was to inspire nurses to professional practice, and to shift from a culture of entitlement to pride of work. Nurs- ing practice standards were viewed as basic nursing criteria. In this view, ‘safety’ is vigilance, “being on your toes,” and paying attention. Hence, the department has different ‘safety’ competencies on different days depending on who was working. The complexity of emer- gency care is increasing, with new knowledge and technology. The bound- aries between emergency and critical care nursing are blurring, and critical patients are requiring medications and infusions that go beyond the train- ing of many emergency nurses. Emergency nursing and critical care nurs- ing are separate education programs, so emergency nurses are not often trained in critical care, but with delays in transfer of critical patients out of the ED, emergency nurses have increasingly found themselves providing care beyond their training. Resources and drug manuals are considered adequate if there is time, but not in the moment. Yet, individual ego was felt by some nurses to get in the way at times, and “I don’t know” gave way to “figuring it out” or “faking my way” when equipment like fluid 220 warmers or rapid infusers was used. Thus, freedom to acknowledge gaps in knowledge or skills as part of professionalism was being encouraged, and training and education were emphasized, although limited by time and budget. Leadership Concern was also expressed about the impact of nursing lea
UBC Theses and Dissertations
Creating safety in an emergency department Hunte, Garth Stephen 2010
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