Optimizing Algorithms to Identify Parkinson’s Disease Cases Within an Administrative Database
Identifieur interne : 000037 ( Pmc/Corpus ); précédent : 000036; suivant : 000038Optimizing Algorithms to Identify Parkinson’s Disease Cases Within an Administrative Database
Auteurs : Nicholas R. Szumski ; Eric M. ChengSource :
- Movement disorders : official journal of the Movement Disorder Society [ 0885-3185 ] ; 2009.
Abstract
Patients assigned the diagnostic ICD-9-CM code for Parkinson’s disease (PD) in an administrative database may not truly carry that diagnosis because of the various error sources. Improved ability to identify PD cases within databases may facilitate specific research goals. Experienced chart reviewers abstracted the working diagnosis of all 577 patients assigned diagnostic code 332.0 (PD) during 1 year at a VA Healthcare System. We then tested the ability of various algorithms making use of PD and non-PD diagnostic codes, specialty of clinics visited, and medication prescription data to predict the abstracted working diagnosis. Chart review determined 436 (75.6%) patients to be PD or Possibly PD, and 141 (24.4%) to be Not PD. Our tiered consensus algorithm preferentially used data from specialists over nonspecialists improved PPV to 83.2% (
Url:
DOI: 10.1002/mds.22283
PubMed: 18816696
PubMed Central: 2647991
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