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Spirometry evaluation to assess performance of a claims-based predictive model identifying patients with undiagnosed COPD

A claims-based model to predict patients likely to have undiagnosed COPD was developed by Moretz et al in 2015. This study aims to assess the performance of the aforementioned model using prospectively collected spirometry data. A study population aged 40-89 years enrolled in a Medicare Advantage pl...

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Bibliographic Details
Published in:International journal of chronic obstructive pulmonary disease 2019-01, Vol.14, p.439-446
Main Authors: Moretz, Chad, Annavarapu, Srinivas, Luthra, Rakesh, Goldfarb, Seth, Renda, Andrew, Shaikh, Asif, Kaila, Shuchita
Format: Article
Language:English
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Summary:A claims-based model to predict patients likely to have undiagnosed COPD was developed by Moretz et al in 2015. This study aims to assess the performance of the aforementioned model using prospectively collected spirometry data. A study population aged 40-89 years enrolled in a Medicare Advantage plan with prescription drug coverage or commercial health plan and without a claim for COPD diagnosis was identified from April 1, 2012 to March 31, 2016 in the Humana claims database. This population was stratified into subjects likely or unlikely to have undiagnosed COPD using the claims-based predictive model. Subjects were randomly selected for spirometry evaluation of FEV and FVC. The predictive model was validated using airflow limitation ratio (FEV /FVC
ISSN:1178-2005
1176-9106
1178-2005
DOI:10.2147/COPD.S187947