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基于网络的应答驱动抽样在流行病学研究中的应用。

Implementation of web-based respondent driven sampling in epidemiological studies.

机构信息

Research group on psychosocial risks, organization of work and health, Universitat Autònoma de Barcelona, Cerdanyola del Vallès, Spain.

Unitat de Bioestadística, Facultat de Medicina, Departament de Pediatria, d'Obstetrícia i Ginecologia i de Medicina Preventiva, Universitat Autònoma de Barcelona, Avda. Can Domènech S/N, Cerdanyola del Vallès, 08193, Spain.

出版信息

BMC Med Res Methodol. 2023 Oct 2;23(1):217. doi: 10.1186/s12874-023-02042-z.

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.

摘要

背景

响应者驱动抽样(RDS)是一种针对无抽样框架或难以接触到的人群的同伴链招募方法。尽管 RDS 通常是面对面进行的,但在线版本(WebRDS)引起了很多关注,因为它有很多潜在的好处,尽管如此,迄今为止,它的实施还没有明确的框架。本文旨在为希望通过 WebRDS 进行招募的研究人员提供指导。

方法

描述开发阶段:提供了与基础研究、问卷设计、使用免费软件实施优惠券系统以及扩散计划相关方面的指导,以 2022 年 4 月至 6 月在西班牙进行的一项基于网络的横断面研究为例,该研究描述了为依赖他人的人提供家庭护理的工作条件和健康状况。

结果

调查的应用:我们讨论了在整个招募过程中的监测策略以及潜在问题和提出的解决方案。

结论

在某些条件下,可以获得与其他 RDS 相似的招募效果的样本,而无需金钱激励,并使用免费访问软件,大大降低成本,并允许将其用于其他研究小组。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/357c/10546631/31974d9624ac/12874_2023_2042_Fig1_HTML.jpg

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