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Decision maker views on priority setting in the Vancouver Island Health Authority Dionne, Francois; Mitton, Craig, 1972-; Smith, Neale; Donaldson, Cam
Abstract
Background: Decisions regarding the allocation of available resources are a source of growing dissatisfaction for healthcare decision-makers. This dissatisfaction has led to increased interest in research on evidence-based resource allocation processes. An emerging area of interest has been the empirical analysis of the characteristics of existing and desired priority setting processes from the perspective of decision-makers. Methods We conducted in-depth, face-to-face interviews with 18 senior managers and medical directors with the Vancouver Island Health Authority, an integrated health care provider in British Columbia responsible for a population of approximately 730,000. Interviews were transcribed and content-analyzed, and major themes and sub-themes were identified and reported. Results Respondents identified nine key features of a desirable priority setting process: inclusion of baseline assessment, use of best evidence, clarity, consistency, clear and measurable criteria, dissemination of information, fair representation, alignment with the strategic direction and evaluation of results. Existing priority setting processes were found to be lacking on most of these desired features. In addition, respondents identified and explicated several factors that influence resource allocation, including political considerations and organizational culture and capacity. Conclusion This study makes a contribution to a growing body of knowledge which provides the type of contextual evidence that is required if priority setting processes are to be used successfully by health care decision-makers.
Item Metadata
Title |
Decision maker views on priority setting in the Vancouver Island Health Authority
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Creator | |
Contributor | |
Publisher |
BioMed Central
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Date Issued |
2008-07-21
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Description |
Background:
Decisions regarding the allocation of available resources are a source of growing dissatisfaction for healthcare decision-makers. This dissatisfaction has led to increased interest in research on evidence-based resource allocation processes. An emerging area of interest has been the empirical analysis of the characteristics of existing and desired priority setting processes from the perspective of decision-makers.
Methods
We conducted in-depth, face-to-face interviews with 18 senior managers and medical directors with the Vancouver Island Health Authority, an integrated health care provider in British Columbia responsible for a population of approximately 730,000. Interviews were transcribed and content-analyzed, and major themes and sub-themes were identified and reported.
Results
Respondents identified nine key features of a desirable priority setting process: inclusion of baseline assessment, use of best evidence, clarity, consistency, clear and measurable criteria, dissemination of information, fair representation, alignment with the strategic direction and evaluation of results. Existing priority setting processes were found to be lacking on most of these desired features. In addition, respondents identified and explicated several factors that influence resource allocation, including political considerations and organizational culture and capacity.
Conclusion
This study makes a contribution to a growing body of knowledge which provides the type of contextual evidence that is required if priority setting processes are to be used successfully by health care decision-makers.
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Genre | |
Type | |
Language |
eng
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Date Available |
2015-12-10
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Provider |
Vancouver : University of British Columbia Library
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Rights |
Attribution 4.0 International (CC BY 4.0)
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DOI |
10.14288/1.0228453
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URI | |
Affiliation | |
Citation |
Cost Effectiveness and Resource Allocation. 2008 Jul 21;6(1):13
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Publisher DOI |
10.1186/1478-7547-6-13
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Peer Review Status |
Reviewed
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Scholarly Level |
Faculty
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Copyright Holder |
Dionne et al.
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Rights URI | |
Aggregated Source Repository |
DSpace
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Item Media
Item Citations and Data
Rights
Attribution 4.0 International (CC BY 4.0)