在资源匮乏地区使用流动表格进行人口健康调查:访谈和实地试验研究。

JMIRx med Pub Date : 2025-08-11 DOI:10.2196/53715
Alexander Davis, Aidan Chen, Milton Chen, James Davis
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引用次数: 0

摘要

背景:人口健康调查是资源匮乏社区有效分配有限资源的重要工具。在这样的环境下,调查通常是由当地居民用纸笔完成的。这样收集的数据很难制成表格和分析。目的:本研究的目的是评估在特定的低资源环境中,移动表格作为纸质调查的替代方案的可行性和效率。方法:我们对菲律宾53名当地调查员进行了试点访谈,以评估他们对移动表单的初步态度。然后,我们开发了一种软件,可以生成易于使用的移动表单,能够离线工作,并能够跟踪关键指标,如完成问题的时间。我们的移动表格在菲律宾的3个地点进行了实地测试,33名调查员收集了266名参与者的健康调查回复。结果:在试点阶段,我们发现53名当地调查员中有32名(60%)更喜欢移动表单而不是纸质表单。经过实地测试,在使用移动表格几次后,33名调查者中有25名(76%)更喜欢移动表格。总的来说,移动表单在数据收集和可用性方面比纸质调查显示出更高的效率。结论:在资源匮乏的环境下,移动问卷是开展大规模人口健康调查的可行方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of Mobile Forms in Low-Resource Areas for Population Health Surveys: Interview and Field Test Study.

Background: Population health surveys are an important tool to effectively allocate limited resources in low-resource communities. In such an environment, surveys are often done by the local population with pen and paper. Data thus collected are difficult to tabulate and analyze.

Objective: The objective of this study was to evaluate the viability and efficiency of mobile forms as an alternative to paper-based surveys in a specific low-resource setting.

Methods: We conducted pilot interviews with 53 local surveyors in the Philippines to assess their initial attitudes toward mobile forms. We then built software that can generate mobile forms that are easy to use, capable of working offline, and able to track key metrics such as time to complete questions. Our mobile form was field-tested in 3 locations in the Philippines with 33 surveyors collecting health survey responses from 266 participants.

Results: In the pilot phase, we found that 32 out of 53 (60%) of the local surveyors preferred mobile forms over paper. After field-testing, the number of surveyors preferring mobile forms increased to 25 out of 33 (76%) after just using the form a few times. The mobile forms overall demonstrated enhanced efficiency in data collection and usability over paper surveys.

Conclusions: Our findings indicate that mobile forms are a viable method to conduct large-scale population health surveys in this low-resource environment.

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