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Unpacking mHealth interventions: A systematic review of behavior change techniques used in randomized controlled trials assessing mHealth effectiveness

机译：解压缩MHEALTH干预：对随机对照试验中使用的行为改变技术进行了系统审查，评估了MHECHEATH效应

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Objective: Mobile health interventions have surged in popularity but their implementation varies widely and evidence of effectiveness is mixed. We sought to advance understanding of the diversity of behavior change techniques in mHealth interventions, especially those that leverage advanced mobile technologies. Methods: We conducted a systematic review of articles published between 2007 and 2017 in high-impact journals in medicine, medical informatics, and health psychology to identify randomized controlled trials in which the effectiveness of an mobile health intervention was tested. Search terms included a mix of general (e.g. mobile health), hardware (e.g. Android, iPhone), and format (e.g. SMS, application) terms. Results: In a systematic review of 21 studies, we found the techniques of personalization, feedback and monitoring, and associations were most commonly used in mobile health interventions, but there remains considerable opportunity to leverage more sophisticated aspects of ubiquitous computing. We found that prompts and cues were the most common behavior change techniques used in effective trials, but there was notable overlap in behavior change techniques used in ineffective trials. Conclusions: Our results identify techniques that are commonly used in mobile health interventions and highlight pathways to advance the science of mobile health.
机译：目的：移动卫生干预措施飙升，但其实施广泛变化，有效的证据混合。我们试图推进MHECHEATH干预措施中行为改变技术的多样性，尤其是利用先进移动技术的行为改变技术。方法：关于在医学，医学信息学和健康心理学的高影响期刊中发表于2007年至2017年期间发表的文章的系统审查，以确定检测移动健康干预的有效性的随机对照试验。搜索条款包括一般（例如移动运行状况），硬件（例如Android，iPhone）和格式（例如SMS，Application）条款的混合。结果：在系统审查21项研究中，我们发现了个性化，反馈和监测的技术，以及在移动健康干预中最常用的协会，但仍有相当大的机会利用无处不在的计算方面更复杂的方面。我们发现提示和提示是有效试验中使用的最常见的行为改变技术，但在无效试验中使用的行为改变技术中有显着重叠。结论：我们的成果识别在移动健康干预中常用的技术，并突出途径以推进移动健康科学。

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