title: Can claims-based data be used to recruit black and Hispanic subjects into clinical trials?
abstract: OBJECTIVE
  Evaluate the accuracy of an algorithm at identifying ethnic minorities from administrative claims for enrollment into a clinical trial.
  
  
  METHODS
  Claims data from a health benefits company.
  
  
  METHODS
  We compared results of a three-step algorithm to self-reported race/ethnicity.
  
  
  METHODS
  Using the algorithm, we identified subjects with high probability of being minority and ascertained self-reported race/ethnicity.
  
  
  RESULTS
  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.
authors.affiliation: Division of General Medicine, Department of Medicine, The University of Miami Miller School of Medicine, The Miami VA Medical Center, Miami, FL 33136, USA. apalacio2@med.miami.edu
authors.forename: Ana M
authors.initials: AM
authors.lastname: Palacio
authors.forename: Leonardo J
authors.initials: LJ
authors.lastname: Tamariz
authors.forename: Claudia
authors.initials: C
authors.lastname: Uribe
authors.forename: Hua
authors.initials: H
authors.lastname: Li
authors.forename: Ellen J
authors.initials: EJ
authors.lastname: Salkeld
authors.forename: Leslie
authors.initials: L
authors.lastname: Hazel-Fernandez
authors.forename: Olveen
authors.initials: O
authors.lastname: Carrasquillo
mesh_terms: D000368:Aged; D000465:Algorithms; D044383:Black People / Q000706:statistics & numerical data; D002986:Clinical Trials as Topic / Q000379:methods*; D005260:Female; D006630:Hispanic or Latino / Q000706:statistics & numerical data; D006801:Humans; D007344:Insurance Claim Reporting / Q000592:standards / Q000706:statistics & numerical data; D008297:Male; D018579:Patient Selection; D014481:United States; D001741:Black or African American
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