PDF(Pubmed)
Abstract：
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.
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.
The application of the survey: we discuss about the monitoring strategies throughout the recruitment process and potential problems along with proposed solutions.
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.
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.
The application of the survey: we discuss about the monitoring strategies throughout the recruitment process and potential problems along with proposed solutions.
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.
摘要：
背景：受访者驱动的抽样（RDS）是一种针对没有抽样框架或难以到达的人群的同伴链招募方法。虽然RDS通常是面对面的，在线版本（WebRDS）吸引了很多关注，因为它有许多潜在的好处，尽管如此,迄今为止，还没有明确的实施框架。本文旨在为希望通过WebRDS招募的研究人员提供指导。
方法：开发阶段的描述：针对与形成性研究有关的方面提供指导，问卷的设计，使用免费软件和扩散计划实施优惠券系统，以2022年4月至6月在西班牙进行的基于网络的横断面研究为例，描述了依赖者的家庭护理工作者的工作条件和健康状况。
结果：调查的应用：我们讨论了整个招聘过程中的监控策略和潜在问题以及提出的解决方案。
结论：在一定条件下，可以在不需要金钱激励和使用免费访问软件的情况下获得与其他RDS相似的招聘绩效的样本，大大降低成本，并允许其使用扩展到其他研究小组。
方法：开发阶段的描述：针对与形成性研究有关的方面提供指导，问卷的设计，使用免费软件和扩散计划实施优惠券系统，以2022年4月至6月在西班牙进行的基于网络的横断面研究为例，描述了依赖者的家庭护理工作者的工作条件和健康状况。
结果：调查的应用：我们讨论了整个招聘过程中的监控策略和潜在问题以及提出的解决方案。
结论：在一定条件下，可以在不需要金钱激励和使用免费访问软件的情况下获得与其他RDS相似的招聘绩效的样本，大大降低成本，并允许其使用扩展到其他研究小组。
