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PMID: 1619449 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Identification of fractures from computerized Medicare files.

Journal of clinical epidemiology ·Vol. 45 ·No. 7 ·1992-07-00 ·Pages 703-14

Ray WA, Griffin MR, Fought RL, Adams ML

Abstract

Study of non-hip fractures, which are a serious public health problem for persons greater than or equal to 65 years of age, has been hindered by the absence of an economical method for case identification. We assessed the utility of computerized Medicare inpatient, emergency room, hospital outpatient department and physician claims for identifying fractures in an elderly Tennessee Medicaid population. We used these files for 1987 to identify 3086 possible fractures and reviewed medical records for a sample of 1440. Using this sample, we developed a definition of probable fractures that excluded claims unlikely to represent newly diagnosed fractures. For all fractures, this definition had a positive predictive value of 94%, which for individual fracture sites, ranged from 79% (tibia/fibula) to 98% (hip). Of fractures in the reviewed sample, 91% were identified as probable fractures; this upper bound for sensitivity varied between 75% (femoral shaft) and 100% (patella). These data suggest that computerized Medicare files can be used for rapid and economical fracture ascertainment among persons greater than or equal to 65 years of age. However, further work is needed to obtain better estimates of sensitivity.

MeSH Terms
Aged Aged, 80 and over Data Collection/methods Female Fractures, Bone/epidemiology Humans Information Storage and Retrieval Male Medical Records Medicare Probability Sensitivity and Specificity Tennessee/epidemiology United States
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Ray W A
Department of Preventive Medicine, Vanderbilt University School of Medicine, Nashville, TN 37232.
Griffin M R
Fought R L
Adams M L
Article Info
Journal
Journal of clinical epidemiology
Abbr.
J Clin Epidemiol
ISSN
0895-4356
Published
1992-07-00
Pages
703-14
Language
English
Region
United States
NLM ID
8801383
Subset
IM
Grants
FDA HHS · FD-U-000073-05 · United States
PHS HHS · R49/CCR402307 · United States
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