Literature DB >> 7986870

Internal validation of Medicare claims data.

J A Baron1, G Lu-Yao, J Barrett, D McLerran, E S Fisher.   

Abstract

The Medicare database is commonly used for epidemiology and health services research, but validation of its data by chart review or questionnaire may be difficult and expensive. Since hospital and physician bills are independent in Medicare, however, these two data sources can be used to supplement and corroborate each other. This "internal validation" is illustrated here for hip fracture and prostatectomy. Agreement of the hospital and physician data streams regarding site of hip fracture (neck vs other), treatment of hip fracture (internal fixation vs arthroplasty), and type of prostatectomy (transurethral resection of prostate, open, or radical) was excellent, with percentage of agreement generally between 89% and 99%, and kappa statistics typically between 0.74 and 0.95. When validation with outside data sources is not readily available, such internal validation of Medicare data may be valuable.

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Year:  1994        PMID: 7986870

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  41 in total

1.  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

2.  Glucocorticoid exposure and fracture risk in patients with new-onset rheumatoid arthritis.

Authors:  A Balasubramanian; S W Wade; R A Adler; C J F Lin; M Maricic; C D O'Malley; K Saag; J R Curtis
Journal:  Osteoporos Int       Date:  2016-06-08       Impact factor: 4.507

3. 

Authors:  Eric I Benchimol; Liam Smeeth; Astrid Guttmann; Katie Harron; David Moher; Irene Petersen; Henrik T Sørensen; Jean-Marie Januel; Erik von Elm; Sinéad M Langan
Journal:  CMAJ       Date:  2019-02-25       Impact factor: 8.262

4.  Incidence of Lower-Extremity Fractures in US Nursing Homes.

Authors:  Kathryn Sine; Yoojin Lee; Andrew R Zullo; Lori A Daiello; Tingting Zhang; Sarah D Berry
Journal:  J Am Geriatr Soc       Date:  2019-02-27       Impact factor: 5.562

5.  Defining hip fracture with claims data: outpatient and provider claims matter.

Authors:  S D Berry; A R Zullo; K McConeghy; Y Lee; L Daiello; D P Kiel
Journal:  Osteoporos Int       Date:  2017-04-26       Impact factor: 4.507

6.  Mediators of First- Versus Second-generation Antipsychotic-related Mortality in Older Adults.

Authors:  John W Jackson; Tyler J VanderWeele; Deborah Blacker; Sebastian Schneeweiss
Journal:  Epidemiology       Date:  2015-09       Impact factor: 4.822

7.  Fee-based care is important for access to prompt treatment of hip fractures among veterans.

Authors:  Kelly K Richardson; Peter Cram; Mary Vaughan-Sarrazin; Peter J Kaboli
Journal:  Clin Orthop Relat Res       Date:  2013-01-16       Impact factor: 4.176

8.  Acute myocardial infarction and coronary artery bypass grafting outcomes in specialty and general hospitals: analysis of state inpatient data.

Authors:  Peter Cram; Levent Bayman; Joanna Popescu; Mary S Vaughan-Sarrazin
Journal:  Health Serv Res       Date:  2009-12-04       Impact factor: 3.402

9.  Estimated prevalence and patterns of presumed osteoporosis among older Americans based on Medicare data.

Authors:  H Cheng; L C Gary; J R Curtis; K G Saag; M L Kilgore; M A Morrisey; R Matthews; W Smith; H Yun; E Delzell
Journal:  Osteoporos Int       Date:  2009-02-03       Impact factor: 4.507

10.  "Pathologic" fractures: should these be included in epidemiologic studies of osteoporotic fractures?

Authors:  J R Curtis; A J Taylor; R S Matthews; M N Ray; D J Becker; L C Gary; M L Kilgore; M A Morrisey; K G Saag; A Warriner; E Delzell
Journal:  Osteoporos Int       Date:  2009-01-29       Impact factor: 4.507

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