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Hudson, Marie; Aviña-Zubieta, J. Antonio; Lacaille, Diane; Bernatsky, Sasha, 1967-; Lix, Lisa M.; Jean, S.

Elsevier

Objective: To determine the validity of the diagnostic algorithms for osteoporosis and fractures in administrative data. Study Design and Setting: A systematic search was conducted to identify studies that reported the validity of a diagnostic algorithm for osteoporosis and/or fractures using administrative data. Results Twelve studies were reviewed. The validity of the diagnosis of osteoporosis in administrative data was fair when at least three years of data from hospital and physician visit claims were used (area under the receiver operating characteristic [ROC] curve [AUC] = 0.70) or when pharmacy data were used (with or without the use of hospital and physician visit claims data, AUC > 0.70). Nonetheless, the positive predictive values (PPV) were low (< 0.60). There was good evidence to support the use of hospital data to identify hip fractures (sensitivity 69-97%; PPV 63-96%) and the addition of physician claims diagnostic and procedural codes to hospitalization diagnostic codes improved these characteristics (sensitivity 83-97%; PPV 86-98%). Vertebral fractures were difficult to identify using administrative data. There was some evidence to support the use of administrative data to define other fractures that do not require hospitalization. Conclusions Administrative data can be used to identify hip fractures. Existing diagnostic algorithms to identify osteoporosis and vertebral fractures in administrative data are suboptimal.

Article; Postprint

eng

Vancouver : University of British Columbia Library

10.14288/1.0413704

Medicine, Faculty of; Non UBC; Medicine, Department of

10.1016/j.jclinepi.2012.10.004

Faculty

DSpace