PDF(Pubmed)
Abstract：
Respondent-driven sampling (RDS) refers both to a chain-referral sampling method and an analytical model for analysing sampled data. Web-based respondent-driven sampling (webRDS) uses internet-based recruitment coupled with an electronic survey to carry out RDS studies; there is currently no commercially available webRDS solution. We designed and developed a webRDS solution to support a research study aimed at estimating conflict-attributable mortality in Yemen. Our webRDS solution is composed of an existing survey platform (i.e. ODK) and a bespoke RDS system. The RDS system is designed to administer and manage an RDS survey cascade and includes: (1) an application programming interface, (2) a study participant client, and (3) an administrator interface. We report here on the design of the webRDS solution and its implementation.
We consulted members of the Yemeni diaspora throughout the development of the solution. Technical obstacles were largely the result of: WhatsApp\'s policies on bulk messaging and automated messaging behaviour, the inherent constraints of SMS messaging, and SMS filtering behaviour. Language support was straight-forward yet time consuming. Survey uptake was lower than expected. Factors which may have impacted uptake include: our use of consumable survey links, low interest amongst the diaspora population, lack of material incentives, and the length and subject matter of the survey itself. The SMS/WhatsApp messaging integration was relatively complex and limited the information we could send potential participants.
Despite lower-than expected survey uptake we believe our webRDS solution provides efficient and flexible means to survey a globally diverse population.
We consulted members of the Yemeni diaspora throughout the development of the solution. Technical obstacles were largely the result of: WhatsApp\'s policies on bulk messaging and automated messaging behaviour, the inherent constraints of SMS messaging, and SMS filtering behaviour. Language support was straight-forward yet time consuming. Survey uptake was lower than expected. Factors which may have impacted uptake include: our use of consumable survey links, low interest amongst the diaspora population, lack of material incentives, and the length and subject matter of the survey itself. The SMS/WhatsApp messaging integration was relatively complex and limited the information we could send potential participants.
Despite lower-than expected survey uptake we believe our webRDS solution provides efficient and flexible means to survey a globally diverse population.
摘要：
背景：受访者驱动抽样（RDS）既指链式推荐抽样方法，也指用于分析抽样数据的分析模型。基于网络的受访者驱动抽样（webRDS）使用基于互联网的招聘以及电子调查来进行RDS研究；目前还没有商业上可用的webRDS解决方案。我们设计并开发了一个webRDS解决方案，以支持一项旨在估计也门冲突归因死亡率的研究。我们的webRDS解决方案由现有的调查平台（即ODK）和定制的RDS系统组成。RDS系统旨在管理和管理RDS调查级联，包括：（1）应用程序编程接口，(2)研究参与者客户，和(3)管理员界面。我们在这里报告webRDS解决方案的设计及其实现。
结果：在整个解决方案的开发过程中，我们咨询了也门侨民的成员。技术障碍主要是由于：WhatsApp关于批量消息传递和自动消息传递行为的政策，短信的固有约束，和SMS过滤行为。语言支持是直接但耗时的。调查吸收低于预期。可能影响摄取的因素包括：我们使用消耗品调查链接，侨民的兴趣低，缺乏物质激励，以及调查本身的长度和主题。SMS/WhatsApp消息集成相对复杂，并且限制了我们可以向潜在参与者发送的信息。
结论：尽管调查结果低于预期，我们相信我们的webRDS解决方案提供了有效和灵活的方法来调查全球不同的人群。
结果：在整个解决方案的开发过程中，我们咨询了也门侨民的成员。技术障碍主要是由于：WhatsApp关于批量消息传递和自动消息传递行为的政策，短信的固有约束，和SMS过滤行为。语言支持是直接但耗时的。调查吸收低于预期。可能影响摄取的因素包括：我们使用消耗品调查链接，侨民的兴趣低，缺乏物质激励，以及调查本身的长度和主题。SMS/WhatsApp消息集成相对复杂，并且限制了我们可以向潜在参与者发送的信息。
结论：尽管调查结果低于预期，我们相信我们的webRDS解决方案提供了有效和灵活的方法来调查全球不同的人群。
