Can claims-based data be used to recruit black and Hispanic subjects into clinical trials?

Ana M. Palacio, Leonardo J. Tamariz, Claudia Uribe, Hua Li, Ellen J. Salkeld, Leslie Hazel-Fernandez, Olveen Carrasquillo

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)770-782
Number of pages13
JournalHealth Services Research
Volume47
Issue number2
DOIs
StatePublished - Apr 2012

Keywords

  • administrative claims data
  • clinical trial design
  • Racial/ethnic disparities

ASJC Scopus subject areas

  • Health Policy

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