Can Claims-Based Data Be Used to Recruit Black and Hispanic Subjects into Clinical Trials?
Version of Record online: 30 AUG 2011
© Health Research and Educational Trust
Health Services Research
Volume 47, Issue 2, pages 770–782, April 2012
How to Cite
Palacio, A. M., Tamariz, L. J., Uribe, C., Li, H., Salkeld, E. J., Hazel-Fernandez, L. and Carrasquillo, O. (2012), Can Claims-Based Data Be Used to Recruit Black and Hispanic Subjects into Clinical Trials?. Health Services Research, 47: 770–782. doi: 10.1111/j.1475-6773.2011.01316.x
- Issue online: 8 MAR 2012
- Version of Record online: 30 AUG 2011
- Manuscript Accepted: 16 JUN 2011
- National Institute on Minority Health and Health Disparities/NIH. Grant Number: RC1MD004327
- Racial/ethnic disparities;
- clinical trial design;
- administrative claims data
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.
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.
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).
Claims data can be used to efficiently identify minorities for participation in clinical trials.