The validity of administrative data to identify hip fractures is high—a systematic review

• Published in: Journal of clinical epidemiology 2013-03, Vol.66 (3), p.278-285
• Main Authors: Hudson, Marie, Avina-Zubieta, Antonio, Lacaille, Diane, Bernatsky, Sasha, Lix, Lisa, Jean, Sonia
• Format: Article
• Language: English
• Subjects: Administrative data; Algorithms; Bias; Biological and medical sciences; Classification; Codes; Diagnostic algorithms; Disease; Diseases of the osteoarticular system; Epidemiology; Fractures; Hip Fractures - diagnosis; Hip Fractures - etiology; Hospitalization; Humans; Insurance Claim Reporting - statistics & numerical data; Internal Medicine; Medical Records; Medical research; Medical sciences; Miscellaneous; Mortality; Osteoporosis; Osteoporosis - diagnosis; Osteoporosis - etiology; Osteoporosis. Osteomalacia. Paget disease; Population; Public health. Hygiene; Public health. Hygiene-occupational medicine; Reproducibility of Results; Risk assessment; Risk Factors; Studies; Systematic review; Validity
• ISSN: 0895-4356; 1878-5921
• DOI: 10.1016/j.jclinepi.2012.10.004

Abstract 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 3 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 (PPVs) were low (