TY - JOUR
T1 - Implementation of web-based respondent driven sampling in epidemiological studies
AU - Ferrer-Rosende, Pedro
AU - Feijoo-Cid, María
AU - Fernández-Cano, María Isabel
AU - Salas-Nicás, Sergio
AU - Stuardo-Ávila, Valeria
AU - Navarro-Giné, Albert
N1 - Publisher Copyright:
© 2023. BioMed Central Ltd., part of Springer Nature.
PY - 2023/12
Y1 - 2023/12
N2 - 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.
AB - 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.
KW - Epidemiologic methods
KW - Hard-to-reach populations
KW - Respondent-driven sampling
KW - Web based sampling
KW - WebRDS
UR - http://www.scopus.com/inward/record.url?scp=85173036144&partnerID=8YFLogxK
U2 - 10.1186/s12874-023-02042-z
DO - 10.1186/s12874-023-02042-z
M3 - Article
C2 - 37784020
AN - SCOPUS:85173036144
SN - 1471-2288
VL - 23
SP - 217
JO - BMC Medical Research Methodology
JF - BMC Medical Research Methodology
IS - 1
M1 - 217
ER -