Literature DB >> 1619449

Identification of fractures from computerized Medicare files.

W A Ray1, M R Griffin, R L Fought, M L Adams.   

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.

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Year:  1992        PMID: 1619449     DOI: 10.1016/0895-4356(92)90047-q

Source DB:  PubMed          Journal:  J Clin Epidemiol        ISSN: 0895-4356            Impact factor:   6.437


  124 in total

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Journal:  J Clin Densitom       Date:  2011-11-09       Impact factor: 2.617

4.  Lipid-lowering agents and the risk of hip fracture in a Medicaid population.

Authors:  W A Ray; J R Daugherty; M R Griffin
Journal:  Inj Prev       Date:  2002-12       Impact factor: 2.399

5.  Methods to examine the impact of compliance to osteoporosis pharmacotherapy on fracture risk: systematic review and recommendations.

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6.  Does medication adherence itself confer fracture protection? An investigation of the healthy adherer effect in observational data.

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7.  Fracture risk and adjuvant hormonal therapy among a population-based cohort of older female breast cancer patients.

Authors:  J M Neuner; T W Yen; R A Sparapani; P W Laud; A B Nattinger
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8.  Comparing methods to identify hip fracture in a nursing home population using Medicare claims.

Authors:  S K Rigler; E Ellerbeck; J Whittle; J Mahnken; G Cook-Wiens; T I Shireman
Journal:  Osteoporos Int       Date:  2010-05-26       Impact factor: 4.507

9.  Adherence to bisphosphonates therapy and hip fracture risk in osteoporotic women.

Authors:  V Rabenda; R Mertens; V Fabri; J Vanoverloop; F Sumkay; C Vannecke; A Deswaef; G A Verpooten; J Y Reginster
Journal:  Osteoporos Int       Date:  2008-06       Impact factor: 4.507

10.  Association of Osteoporosis Medication Use After Hip Fracture With Prevention of Subsequent Nonvertebral Fractures: An Instrumental Variable Analysis.

Authors:  Rishi J Desai; Mufaddal Mahesri; Younathan Abdia; Julie Barberio; Angela Tong; Dongmu Zhang; Panagiotis Mavros; Seoyoung C Kim; Jessica M Franklin
Journal:  JAMA Netw Open       Date:  2018-07-06
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