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Implementation of web-based respondent driven sampling in epidemiological studies

Authors :
Pedro Ferrer-Rosende
María Feijoo-Cid
María Isabel Fernández-Cano
Sergio Salas-Nicás
Valeria Stuardo-Ávila
Albert Navarro-Giné
Source :
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-9 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Background Respondent-driven sampling (RDS) is a peer chain-recruitment method for populations without a sampling frame or that are hard-to-reach. Although RDS is usually done face-to-face, the online version (WebRDS) has drawn a lot of attention as it has many potential benefits, despite this, to date there is no clear framework for its implementation. This article aims to provide guidance for researchers who want to recruit through a WebRDS. Methods Description of the development phase: guidance is provided addressing aspects related to the formative research, the design of the questionnaire, the implementation of the coupon system using a free software and the diffusion plan, using as an example a web-based cross-sectional study conducted in Spain between April and June 2022 describing the working conditions and health status of homecare workers for dependent people. Results The application of the survey: we discuss about the monitoring strategies throughout the recruitment process and potential problems along with proposed solutions. Conclusions Under certain conditions, it is possible to obtain a sample with recruitment performance similar to that of other RDS without the need for monetary incentives and using a free access software, considerably reducing costs and allowing its use to be extended to other research groups.

Details

Language :
English
ISSN :
14712288
Volume :
23
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Medical Research Methodology
Publication Type :
Academic Journal
Accession number :
edsdoj.4e30883c559b43898b031895e6746a52
Document Type :
article
Full Text :
https://doi.org/10.1186/s12874-023-02042-z