Document Detail


The validity of administrative data to identify hip fractures is high-a systematic review.
MedLine Citation:
PMID:  23347851     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
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 (<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.
Authors:
Marie Hudson; Antonio Avina-Zubieta; Diane Lacaille; Sasha Bernatsky; Lisa Lix; Sonia Jean
Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Journal of clinical epidemiology     Volume:  66     ISSN:  1878-5921     ISO Abbreviation:  J Clin Epidemiol     Publication Date:  2013 Mar 
Date Detail:
Created Date:  2013-01-25     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8801383     Medline TA:  J Clin Epidemiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  278-85     Citation Subset:  IM    
Copyright Information:
Copyright © 2013 Elsevier Inc. All rights reserved.
Affiliation:
Lady Davis Institute for Medical Research, Jewish General Hospital, Room A-725, 3755 Cote Ste Catherine Road, Montreal, Quebec H3T 1E2, Canada. Electronic address: marie.hudson@mcgill.ca.
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