Ana M Palacio1, Leonardo J Tamariz, Claudia Uribe, Hua Li, Ellen J Salkeld, Leslie Hazel-Fernandez, Olveen Carrasquillo.
Abstract
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 Hispanic. 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. © Health Research and Educational Trust.
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 Hispanic. 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. © Health Research and Educational Trust.
Mesh：
Year: 2011
PMID： 22091834 PMCID： PMC3419888 DOI： 10.1111/j.1475-6773.2011.01316.x
Source DB: PubMed Journal: Health Serv Res ISSN： 0017-9124 Impact factor: 3.402