Experiences in running a complex electronic data capture system using mobile phones in a large-scale population trial in southern Nepal.

Experiences in running a complex electronic data capture system using mobile phones in a large-scale population trial in southern Nepal.
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DOI:
10.1080/16549716.2017.1330858
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发表时间:
2017
影响因子:
2.6
通讯作者:
Saville NM
Saville NM
中科院分区:
医学3区
文献类型:
--
作者:
Style S;Beard BJ;Harris-Fry H;Sengupta A;Jha S;Shrestha BP;Rai A;Paudel V;Thondoo M;Pulkki-Brannstrom AM;Skordis-Worrall J;Manandhar DS;Costello A;Saville NM

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移动电话的可用性和功能的增加使其成为一种可行的数据收集手段。电子数据捕获(EDC)系统已广泛用于公共卫生监测和监督活动,但在需要多个系统的复杂研究中使用它们的记录有限。本文分享了我们为尼泊尔农村平原的社区四武装集群随机对照试验设计和实施复杂的多组分EDC系统的经验,以帮助其他研究人员计划在低收入环境中使用EDC进行复杂的研究。我们设计并实施了三个相互关联的移动电话数据收集系统,以招募和跟踪孕妇(试验参与者),并支持实施试验干预措施(妇女团体、食品和现金转移)。720名现场工作人员使用基本手机发送简单的编码短信,539名妇女小组协调员使用带有Open Data Kit Collect的Android智能手机,112名采访者、协调员和主管使用带有CommCare的智能手机。为每个登记的妇女生成编码有参与者信息的条形码照片身份证。开发了自动化系统来下载、重新编码和合并数据,供研究人员几乎实时访问。这些系统已成功推出,并有1371名员工使用。共有25,089名孕妇参与,并完成了17,839份随访表格。妇女团体协调员记录了5717个妇女团体,分发了14 647个粮食和13 482个现金。虽然编程和设置所需的时间延迟了研究的开始,但使用EDC加快了数据收集和处理的速度。EDC使用三个相互关联的移动数据管理系统(FrontlineSMS、ODK和CommCare),在尼泊尔平原进行的复杂大规模试验中是一种可行和有效的数据捕获方法。尽管存在设置时间延长等挑战,但该系统满足了不同文化水平和经验的用户的多种数据收集需求。
The increasing availability and capabilities of mobile phones make them a feasible means of data collection. Electronic Data Capture (EDC) systems have been used widely for public health monitoring and surveillance activities, but documentation of their use in complicated research studies requiring multiple systems is limited. This paper shares our experiences of designing and implementing a complex multi-component EDC system for a community-based four-armed cluster-Randomised Controlled Trial in the rural plains of Nepal, to help other researchers planning to use EDC for complex studies in low-income settings. We designed and implemented three interrelated mobile phone data collection systems to enrol and follow-up pregnant women (trial participants), and to support the implementation of trial interventions (women’s groups, food and cash transfers). 720 field staff used basic phones to send simple coded text messages, 539 women’s group facilitators used Android smartphones with Open Data Kit Collect, and 112 Interviewers, Coordinators and Supervisors used smartphones with CommCare. Barcoded photo ID cards encoded with participant information were generated for each enrolled woman. Automated systems were developed to download, recode and merge data for nearly real-time access by researchers. The systems were successfully rolled out and used by 1371 staff. A total of 25,089 pregnant women were enrolled, and 17,839 follow-up forms completed. Women’s group facilitators recorded 5717 women’s groups and the distribution of 14,647 food and 13,482 cash transfers. Using EDC sped up data collection and processing, although time needed for programming and set-up delayed the study inception. EDC using three interlinked mobile data management systems (FrontlineSMS, ODK and CommCare) was a feasible and effective method of data capture in a complex large-scale trial in the plains of Nepal. Despite challenges including prolonged set-up times, the systems met multiple data collection needs for users with varying levels of literacy and experience.