Identification of smoking using Medicare data - a validation study of claims-based algorithms

Purpose This study examined the accuracy of claims‐based algorithms to identify smoking against self‐reported smoking data. Methods Medicare patients enrolled in the Brigham and Women's Hospital Rheumatoid Arthritis Sequential Study were identified. For each patient, self‐reported smoking statu...

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Bibliographic Details
Published in:	Pharmacoepidemiology and drug safety Vol. 25; no. 4; pp. 472 - 475
Main Authors:	Desai, Rishi J, Solomon, Daniel H, Shadick, Nancy, Iannaccone, Christine, Kim, Seoyoung C
Format:	Journal Article
Language:	English
Published:	England Blackwell Publishing Ltd 01.04.2016 Wiley Subscription Services, Inc
Subjects:	Aged Algorithms claims-based algorithm Databases, Factual - statistics & numerical data Female Humans Insurance claims Male Medicare Medicare - statistics & numerical data Middle Aged pharmacoepidemiology Predictive Value of Tests Prospective Studies Self Report Sensitivity and Specificity Smoking Smoking - epidemiology United States validation claims-based algorithm validation smoking pharmacoepidemiology
ISSN:	1053-8569, 1099-1557, 1099-1557
Online Access:	Get full text
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