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The development of an Android platform to undertake a discrete choice experiment in a low resource setting

机译:开发Android平台以在资源不足的情况下进行离散选择实验

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Background Discrete choice experiment (DCE) is a quantitative technique which helps determine preferences from a definite set of choices. DCEs have been widely used to inform health services in high-income country settings and is gradually being used in low and middle-income countries (LMICs). There are challenges in deploying this method in LMIC settings due to the contextual, cultural and language related barriers. Most DCEs are conducted using paper-based tools. With mobile technology readily accessible across LMICs, we developed an Android-based platform to conduct a DCE among community health workers (CHWs) in rural India. Methods This paper describes the development of a DCE for low-literacy community health workers (CHWs) in low-resourced setting on an Android platform. We illustrate the process of identifying realistic and locally relevant attributes, finalising the tool and cognitively testing it among respondents with an average of 10?years of education using ‘think aloud’ and ‘verbal probing’ techniques. The Android application was tested in two rounds, first by the research team and second, by the CHWs. The ‘think aloud’ and ‘verbal probing’ techniques were essential in assessing the comprehension of the CHWs to the DCE choices. Results The CHWs did not take much time to familiarize themselves with the Android application. Compared to the paper based DCE, the time required for data collection using the Android application was reduced by 50%. We found the Android-based app to be more efficient and time saving as it reduced errors in data collection, eliminated the process of data entry and presented the data for analysis in real time. Conclusion Electronic administration of DCE on Android computer tablets to CHWs with basic education is more efficient, time-saving than paper-based survey designs once the application is provided. It is feasible to use technology to develop and implement DCEs among participants with basic education in resource poor settings.
机译:背景离散选择实验(DCE)是一种定量技术,可帮助从一组确定的选择中确定偏好。 DCE已被广泛用于在高收入国家/地区提供医疗服务,并逐渐在中低收入国家(LMIC)中使用。由于上下文,文化和语言方面的障碍,在LMIC环境中部署此方法存在挑战。大多数DCE是使用纸质工具进行的。借助LMIC易于访问的移动技术,我们开发了一个基于Android的平台来在印度农村的社区卫生工作者(CHW)中进行DCE。方法本文介绍了在Android平台上针对资源匮乏的低文化程度社区卫生工作者(CHW)开发DCE的方法。我们举例说明了使用“大声思考”和“语言探测”技术,在平均接受10年教育的受访者中识别现实和与当地相关的属性,完成该工具并进行认知测试的过程。 Android应用程序经过两轮测试,第一轮由研究团队进行,第二轮由CHW进行。 “大声思考”和“语言探测”技术对于评估CHW对DCE选择的理解至关重要。结果CHW花费了很多时间来熟悉Android应用程序。与基于纸的DCE相比,使用Android应用程序进行数据收集所需的时间减少了50%。我们发现基于Android的应用程序效率更高,更节省时间,因为它减少了数据收集中的错误,消除了数据输入过程并实时呈现了数据以供分析。结论一旦提供了应用程序,与基于纸质的调查设计相比,对具有基础教育的CHW进行Android平板电脑上DCE的电子管理更加有效,省时。在资源贫乏地区接受基础教育的参与者中,使用技术来开发和实施DCE是可行的。

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