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Applications and Recruitment Performance of Web-Based Respondent-Driven Sampling: Scoping Review
Yannick B Helms1,2, Nora Hamdiui1,3, Mirjam E E Kretzschmar2
1National Coordination Centre for Communicable Disease Control, Centre for Infectious Disease Control, National Institute for Public Health and the Environment, Bilthoven, Netherlands.
Journal of Medical Internet Research
|January 15, 2021
Summary
Web-based respondent-driven sampling effectively recruits participants for population estimates and health interventions. Optimizing recruitment involves motivating seeds, offering incentives, and considering online behavior, while managing potential risks like repeated participation.
Area of Science:
- Social Sciences
- Public Health
- Computer Science
Background:
- Web-based respondent-driven sampling (RDS) is a novel method for participant recruitment.
- Its application, barriers, facilitators, and recruitment performance require systematic investigation.
Purpose of the Study:
- To overview published research on web-based RDS.
- To investigate factors influencing web-based RDS recruitment performance.
Main Methods:
- Scoping review of web-based RDS studies (2000-2019).
- Utilized the process evaluation of complex interventions framework.
- Analyzed implementation, impact mechanisms, context, and recruitment performance.
Main Results:
- 18 studies from 8 countries used web-based RDS for population estimates (12), social networks (3), and health interventions (3).
- Recruitment varied widely in seeds, success rates, waves, incentives, and duration.
- Fewer waves and lower success rates were observed in studies without guaranteed material incentives.
Conclusions:
- Web-based RDS is viable for diverse research and intervention goals.
- Enhance recruitment via seed motivation, incentives, and tailored online strategies.
- Consider trade-offs, including rigorous seed selection and managing online participation risks.
Keywords:
hard-to-reach populationsinterventionsonline samplingprobabilistic samplingpublic healthresearch methodologyrespondent-driven samplingwebRDSMore Related Videos
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