A data-rich recruitment core to support translational clinical research

Clin Transl Sci. 2015 Apr;8(2):91-9. doi: 10.1111/cts.12240. Epub 2014 Nov 10.

Abstract

Background: Underenrollment of clinical studies wastes resources and delays assessment of research discoveries. We describe the organization and impact of a centralized recruitment core delivering comprehensive recruitment support to investigators.

Methods: The Rockefeller University Center for Clinical and Translational Science supports a centralized recruitment core, call center, Research Volunteer Repository, data infrastructure, and staff who provide expert recruitment services to investigators. During protocol development, consultations aim to optimize enrollment feasibility, develop recruitment strategy, budget, and advertising. Services during study conduct include advertising placement, repository queries, call management, prescreening, referral, and visit scheduling. Utilization and recruitment outcomes are tracked using dedicated software.

Results: For protocols receiving recruitment services during 2009-2013: median time from initiation of recruitment to the first enrolled participant was 10 days; of 4,047 first-time callers to the call center, 92% (n = 3,722) enrolled in the Research Volunteer Repository, with 99% retention; 23% of Repository enrollees subsequently enrolled in ≥1 research studies, with 89% retention. Of volunteers referred by repository queries, 49% (280/537) enrolled into the study, with 92% retained.

Conclusions: Provision of robust recruitment infrastructure including expertise, a volunteer repository, data capture and real-time analysis accelerates protocol accrual. Application of recruitment science improves the quality of clinical investigation.

Keywords: accrual; clinical research management; clinical trial management; enrollment.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Child
  • Clinical Trials as Topic
  • Data Collection
  • Humans
  • Middle Aged
  • Models, Organizational
  • New York City
  • Patient Selection*
  • Registries
  • Research Design
  • Software
  • Translational Research, Biomedical / methods*
  • Treatment Outcome
  • Young Adult