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剖析移动健康干预措施:对评估移动健康有效性的随机对照试验中使用的行为改变技术的系统评价。

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

作者信息

Dugas Michelle, Gao Guodong Gordon, Agarwal Ritu

机构信息

Center for Health Information and Decision Systems, University of Maryland, USA.

Department of Decisions, Operations, and Information Technologies, University of Maryland, USA.

出版信息

Digit Health. 2020 Feb 20;6:2055207620905411. doi: 10.1177/2055207620905411. eCollection 2020 Jan-Dec.

Abstract

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.

摘要

目的

移动健康干预措施已迅速普及,但其实施情况差异很大,有效性证据也参差不齐。我们试图增进对移动健康干预中行为改变技术多样性的理解,尤其是那些利用先进移动技术的干预措施。

方法

我们对2007年至2017年在医学、医学信息学和健康心理学领域的高影响力期刊上发表的文章进行了系统综述,以确定测试移动健康干预措施有效性的随机对照试验。检索词包括通用词(如移动健康)、硬件词(如安卓、苹果手机)和形式词(如短信、应用程序)的组合。

结果

在对21项研究的系统综述中,我们发现个性化、反馈与监测以及关联技术在移动健康干预中使用最为普遍,但利用普适计算更复杂方面的机会仍然很大。我们发现提示是有效试验中最常用的行为改变技术,但无效试验中使用的行为改变技术也有显著重叠。

结论

我们的研究结果确定了移动健康干预中常用的技术,并突出了推进移动健康科学的途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0d8/7036494/72d7004d9742/10.1177_2055207620905411-fig1.jpg

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