Implementation of web-based respondent driven sampling in epidemiological studies

Area of Science:

• Social Sciences
• Public Health Research Methods

Background:

• Respondent-Driven Sampling (RDS) is a key peer recruitment technique for hard-to-reach populations.
• The online adaptation, WebRDS, offers potential benefits but lacks a clear implementation framework.
• This article addresses the need for guidance in conducting WebRDS studies.

Purpose of the Study:

• To provide a practical framework and guidance for researchers implementing WebRDS.
• To detail the development and application phases of a WebRDS study.
• To offer solutions for potential challenges in online respondent recruitment.

Main Methods:

• Guidance covers formative research, questionnaire design, and a free software-based coupon system.
• A web-based cross-sectional study in Spain (April-June 2022) on homecare workers served as an example.
• Monitoring strategies and problem-solving during recruitment are discussed.

Main Results:

• The study successfully implemented a WebRDS framework for recruiting homecare workers.
• Monitoring strategies helped identify and resolve recruitment challenges.
• The process demonstrated effective online peer-to-peer recruitment.

Conclusions:

• WebRDS can achieve recruitment performance comparable to traditional RDS.
• Utilizing free software and eliminating monetary incentives significantly reduces research costs.
• This approach enhances the accessibility and scalability of RDS for diverse research groups.