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Can Claims‐Based Data Be Used to Recruit Black and H ispanic Subjects into Clinical Trials?
Author(s) -
Palacio Ana M.,
Tamariz Leonardo J.,
Uribe Claudia,
Li Hua,
Salkeld Ellen J.,
HazelFernandez Leslie,
Carrasquillo Olveen
Publication year - 2012
Publication title -
health services research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.706
H-Index - 121
eISSN - 1475-6773
pISSN - 0017-9124
DOI - 10.1111/j.1475-6773.2011.01316.x
Subject(s) - ethnic group , data extraction , clinical trial , race (biology) , data collection , medicine , computer science , data mining , medline , statistics , mathematics , botany , sociology , anthropology , biology , political science , law
Objective Evaluate the accuracy of an algorithm at identifying ethnic minorities from administrative claims for enrollment into a clinical trial. Data Sources/Study Setting Claims data from a health benefits company. Study Design We compared results of a three‐step algorithm to self‐reported race/ethnicity. Data Collection/Extraction Methods Using the algorithm, we identified subjects with high probability of being minority and ascertained self‐reported race/ethnicity. Principal Findings We identified 164 subjects as likely minority based on our algorithm. Of these, 94 completed the survey and 87 identified themselves as black or H ispanic. The positive predictive value of the algorithm was 93 percent (CI: 85–97). Conclusions Claims data can be used to efficiently identify minorities for participation in clinical trials.