Building an Evidence Base Using Qualitative Data for mHealth Development.
Building an Evidence Base Using Qualitative Data for mHealth Development.
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DOI：
10.1109/hicss.2014.335
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发表时间：
2014-01
期刊：
影响因子：
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通讯作者：
Cobb V
中科院分区：
文献类型：
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作者：
Bock B;Rosen R;Thind H;Barnett N;Walaska K;Cobb V
要想取得成功，移动健康应用程序必须与个人使用技术的方式保持一致。使用定性的方法和迭代的方法，混合消费者驱动的目标和制造商驱动的目标可以产生范式转变，新的干预应用程序，最大限度地提高目标受众的使用可能性及其对健康行为的潜在影响。在行为健康方面，移动健康应用程序的开发通常采用由调查人员和程序员驱动的自上而下的方法，目标人群的投入相对较少。通常，用户输入限于“喜欢/不喜欢”干预后消费者满意度评级或设备/应用特定的用户分析。为了对健康行为产生持久的影响，从每个项目开始到整个开发过程中获得用户输入至关重要。本文介绍了定性方法在最终用户参与框架中的使用，并展示了这如何导致我们通过移动的技术提供的健康干预措施的方法发生重要变化。
To be successful mHealth applications must be consistent with the way individuals use technology. Using qualitative methods and an iterative approach that blends consumer-driven and investigator-driven aims can produce paradigm-shifting, novel intervention applications that maximize the likelihood of use by the target audience and their potential impact on health behaviors. In behavioral health the development of mHealth applications often takes a top-down approach driven by the investigators and programmers, with relatively little input from the targeted population. Often user-input is limited to “like/dislike” post-intervention consumer satisfaction ratings or device/application-specific user analytics. To have a lasting effect on health behaviors it is crucial to obtain user input from the start of each project and throughout development. This paper describes the use of qualitative methods in an end-user participatory framework, and demonstrates how this lead to important changes in our approach to health interventions delivered through mobile technologies.