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The Participant-Reported Implementation Update and Score (PRIUS): A Novel Method for Capturing Implementation-Related Data Over Time
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Beyond surveillance: a role for respondent-driven sampling in implementation science.

Sunil S Solomon1, Gregory M Lucas, David D Celentano

  • 1Department of Medicine, School of Medicine, Johns Hopkins University, Baltimore, MD, USA.

American Journal of Epidemiology
|June 27, 2013
PubMed
Summary
This summary is machine-generated.

This study introduces respondent-driven sampling to improve recruitment for cluster-randomized trials evaluating HIV prevention interventions. This method enhances generalizability and addresses challenges in reaching key populations like men who have sex with men.

Keywords:
HIVimplementation sciencemen who have sex with menrandomized controlled trialrespondent-driven sampling

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Area of Science:

  • Public Health
  • Implementation Science
  • Epidemiology

Background:

  • The human immunodeficiency virus (HIV) pandemic continues, with challenges in delivering prevention to hard-to-reach populations.
  • Implementation science emphasizes cluster-randomized trials (CRTs) over individual trials for HIV prevention.
  • Key challenges in CRTs include generalizability, contamination, and multi-level evaluation.

Purpose of the Study:

  • To propose a novel application of respondent-driven sampling (RDS) for participant recruitment in CRTs.
  • To address recruitment and generalizability challenges in evaluating community-based HIV prevention interventions.
  • To illustrate the application of RDS in an ongoing CRT assessing men's wellness centers for HIV testing among men who have sex with men in India.

Main Methods:

  • Utilizing respondent-driven sampling, a chain-referral strategy, for participant recruitment.
  • Applying RDS within the framework of a cluster-randomized trial design.
  • Evaluating a community intervention delivered through men's wellness centers.

Main Results:

  • Respondent-driven sampling offers a viable strategy for recruiting participants in CRTs.
  • The proposed method aids in overcoming challenges related to generalizability and contamination in CRTs.
  • The empirical example demonstrates the practical application of RDS in an HIV prevention trial.

Conclusions:

  • Respondent-driven sampling can be effectively integrated into cluster-randomized trials for HIV prevention research.
  • This innovative approach enhances the ability to reach and recruit hard-to-reach populations for intervention studies.
  • The findings support the advancement of implementation science methodologies for effective HIV/AIDS interventions.