Implementation of web-based respondent driven sampling in epidemiological studies
Ferrer Rosende, Pedro ![Identificador ORCID](/img/uab/orcid.ico)
(Universitat Autònoma de Barcelona)
Feijoo Cid, Maria ![Identificador ORCID](/img/uab/orcid.ico)
(Universitat Autònoma de Barcelona. Departament d'Infermeria)
Fernández-Cano, María Isabel ![Identificador ORCID](/img/uab/orcid.ico)
(Universitat Autònoma de Barcelona. Departament d'Infermeria)
Salas Nicás, Sergio
Stuardo Ávila, Valeria 1983- (Instituto de Salud Pública. Universidad Andrés Bello)
Navarro Giné, Albert ![Identificador ORCID](/img/uab/orcid.ico)
(Universitat Autònoma de Barcelona. Departament de Pediatria, Obstetrícia i Ginecologia i Medicina Preventiva i Salut Pública)
Universitat Autònoma de Barcelona.
SGR - Research group on Psychosocial risks, Organization of Work and Health (POWAH)
Data: |
2023 |
Resum: |
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. |
Nota: |
ANECA |
Nota: |
The research team would like to acknowledge Plataforma Unitaria SAD for their help in planning and organizing the study. P.F.R. acknowledges the support of ANID in the means of scholarship for PhD studies. |
Nota: |
This work was partially supported by Fundación Prevent, XV Becas I + D in PRL 2021. The funding bodies played no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript. |
Drets: |
Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. ![Creative Commons](/img/licenses/by.ico) |
Llengua: |
Anglès |
Document: |
Article ; recerca ; Versió publicada |
Matèria: |
Epidemiologic methods ;
Hard-to-reach populations ;
Web based sampling ;
Respondent-driven sampling ;
WebRDS |
Publicat a: |
BMC Medical Research Methodology, Vol. 23 Núm. 1 (december 2023) , p. 217, ISSN 1471-2288 |
DOI: 10.1186/s12874-023-02042-z
PMID: 37784020
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Registre creat el 2024-01-21, darrera modificació el 2024-05-15