Literature DB >> 17230477

Accuracy of Medicare claims data in identifying Parkinsonism cases: comparison with the Medicare current beneficiary survey.

Katia Noyes1, Hangsheng Liu, Robert Holloway, Andrew W Dick.   

Abstract

STUDY
PURPOSE: Administrative databases are commonly used to examine use of healthcare service, with researchers relying on diagnostic codes to identify medical conditions. This study evaluates the accuracy of administrative claims in identifying Parkinsonism cases compared to the self-reported Parkinson's disease (PD).
METHODS: The reference cases were identified based on the self-reported PD status and the use of PD drugs collected by the 1992-2000 Medicare Current Beneficiary Survey that contained 72,922 observations from 30,469 individuals. Using ICD-9 CM, cases with PD were extracted from the corresponding Medicare claims. We compared prevalence of PD obtained using different types of claims.
RESULTS: The sensitivities were the highest when all claims were used (66%). All the specificities were greater than 99%. When drug use information was included in the gold standard, the sensitivities became lower, while the specificities and positive predictive values (PPVs) increased. Using more diagnostic codes improved the sensitivity of the identification process but reduced PPVs.
CONCLUSIONS: Administrative claims can provide fairly accurate and practical approach to "rule in" patients with PD. Depending on the purpose of evaluation, researchers may consider using more categories of claims to improve the sensitivity of the identification algorithm or use fewer diagnoses to minimize number of false positive cases. (c) 2006 Movement Disorder Society.

Entities:  

Mesh:

Year:  2007        PMID: 17230477     DOI: 10.1002/mds.21299

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  30 in total

1.  Biomedical ontologies in action: role in knowledge management, data integration and decision support.

Authors:  O Bodenreider
Journal:  Yearb Med Inform       Date:  2008

2.  Using claims data to predict dependency in activities of daily living as a proxy for frailty.

Authors:  Keturah R Faurot; Michele Jonsson Funk; Virginia Pate; M Alan Brookhart; Amanda Patrick; Laura C Hanson; Wendy Camelo Castillo; Til Stürmer
Journal:  Pharmacoepidemiol Drug Saf       Date:  2014-10-21       Impact factor: 2.890

3.  Feasibility of Large-Scale Identification of Sessile Serrated Polyp Patients Using Electronic Records: A Utah Study.

Authors:  Kajsa Affolter; Keith Gligorich; Niloy Jewel Samadder; Wade S Samowitz; Karen Curtin
Journal:  Dig Dis Sci       Date:  2017-03-17       Impact factor: 3.199

4.  Extent and Predictors of Potentially Inappropriate Antidepressant Use Among Older Adults With Dementia and Major Depressive Disorder.

Authors:  Sandipan Bhattacharjee; Jeannie K Lee; Asad E Patanwala; Nina Vadiei; Daniel C Malone; Shannon M Knapp; Wei-Hsuan Lo-Ciganic; William J Burke
Journal:  Am J Geriatr Psychiatry       Date:  2019-02-07       Impact factor: 4.105

Review 5.  Recommendations for optimal ICD codes to study neurologic conditions: a systematic review.

Authors:  Christine St Germaine-Smith; Amy Metcalfe; Tamara Pringsheim; Jodie Irene Roberts; Cynthia A Beck; Brenda R Hemmelgarn; Jane McChesney; Hude Quan; Nathalie Jette
Journal:  Neurology       Date:  2012-08-22       Impact factor: 9.910

Review 6.  Methodological issues in using multiple years of the Medicare current beneficiary survey.

Authors:  Becky A Briesacher; Jennifer Tjia; Chyke A Doubeni; Yong Chen; Sowmya R Rao
Journal:  Medicare Medicaid Res Rev       Date:  2012-02-08

7.  Concordance Between Clinical Diagnosis and Medicare Claims of Depression Among Older Primary Care Patients.

Authors:  Seungyoung Hwang; Ravishankar Jayadevappa; Jarcy Zee; Kara Zivin; Hillary R Bogner; Patrick J Raue; Martha L Bruce; Charles F Reynolds; Joseph J Gallo
Journal:  Am J Geriatr Psychiatry       Date:  2014-08-27       Impact factor: 4.105

8.  Optimizing algorithms to identify Parkinson's disease cases within an administrative database.

Authors:  Nicholas R Szumski; Eric M Cheng
Journal:  Mov Disord       Date:  2009-01-15       Impact factor: 10.338

9.  Geographic variation in epidural steroid injection use in medicare patients.

Authors:  Janna Friedly; Leighton Chan; Richard Deyo
Journal:  J Bone Joint Surg Am       Date:  2008-08       Impact factor: 5.284

10.  A method to predict breast cancer stage using Medicare claims.

Authors:  Grace L Smith; Ya-Chen T Shih; Sharon H Giordano; Benjamin D Smith; Thomas A Buchholz
Journal:  Epidemiol Perspect Innov       Date:  2010-01-15
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