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Building an Evidence Base Using Qualitative Data for mHealth Development

机译:使用定性数据为mHealth开发建立证据基础

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摘要

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.
机译:要获得成功,mHealth应用程序必须与个人使用技术的方式保持一致。使用定性方法和将消费者驱动和研究人员驱动的目标相结合的迭代方法,可以产生范式转换,新颖的干预应用程序,从而最大程度地提高目标受众使用它们的可能性及其对健康行为的潜在影响。在行为健康方面,mHealth应用程序的开发通常采用由研究人员和程序员驱动的自上而下的方法,而目标人群的投入相对较少。通常,用户输入仅限于“喜欢/不喜欢”干预后的消费者满意度等级或特定于设备/应用程序的用户分析。为了对健康行为产生持久影响,从每个项目的开始以及整个开发过程中获取用户输入至关重要。本文描述了定性方法在最终用户参与框架中的使用,并演示了这如何导致我们对通过移动技术提供的健康干预方法的重大改变。

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