Ecological momentary interventions for mental health: A scoping review.
Ecological momentary interventions for mental health: A scoping review.
复制标题
心理健康的生态瞬时干预：范围审查。
DOI：
10.1371/journal.pone.0248152
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发表时间：
2021
期刊：
影响因子：
3.7
通讯作者：
Doherty G
中科院分区：
文献类型：
--
作者：
Balaskas A;Schueller SM;Cox AL;Doherty G
移动的计算技术的发展使人们能够在日常生活中进行心理干预。这些“生态瞬时干预”的潜力的最初愿景是在十多年前提出的，在这期间智能手机的广泛采用导致了各种研究探索这些愿望的可行性。然而，有一个描述这些干预措施的不同层面，特点和功能的研究缺乏，如构建。概述在治疗常见精神健康疾病中“生态瞬时干预”的定义，并描述在设计这些干预措施时使用的一套技术和互动可能性。一项系统性检索确定了2009年至2020年期间在PubMed、PsycInfo和ACM Guide to the Computing Literature数据库中发表的相关文献。筛选后，使用标准化提取工作表从合格文献中提取数据。然后将选定的文章按主题分类。检索识别出583篇文章，其中64篇符合纳入标准。这些干预措施针对一系列心理健康问题，具有不同的目标、干预设计和评估方法。这些研究采用了各种干预措施，但最近的研究绝大多数是基于智能手机应用程序的研究（42篇论文中有30篇描述了干预措施）。22项研究使用传感器收集数据，以提供及时的支持或预测心理状态。随着向智能手机应用程序的转变，EMI的愿景已经开始实现。近年来，人们越来越多地探索传感器和机器学习的使用，但人类在EMI传递中的作用也各不相同。EMI所表现出的各种能力促使开发更精确的词汇表，用于捕获这些干预措施的自动和人工定制。
The development of mobile computing technology has enabled the delivery of psychological interventions while people go about their everyday lives. The original visions of the potential of these “ecological momentary interventions” were presented over a decade ago, and the widespread adoption of smartphones in the intervening years has led to a variety of research studies exploring the feasibility of these aspirations. However, there is a dearth of research describing the different dimensions, characteristics, and features of these interventions, as constructed. To provide an overview of the definitions given for “ecological momentary interventions” in the treatment of common mental health disorders, and describe the set of technological and interaction possibilities which have been used in the design of these interventions. A systematic search identified relevant literature published between 2009 and 2020 in the PubMed, PsycInfo, and ACM Guide to the Computing Literature databases. Following screening, data were extracted from eligible articles using a standardized extraction worksheet. Selected articles were then thematically categorized. The search identified 583 articles of which 64 met the inclusion criteria. The interventions target a range of mental health problems, with diverse aims, intervention designs and evaluation approaches. The studies employed a variety of features for intervention delivery, but recent research is overwhelmingly comprised of studies based on smartphone apps (30 of 42 papers that described an intervention). Twenty two studies employed sensors for the collection of data in order to provide just-in-time support or predict psychological states. With the shift towards smartphone apps, the vision for EMIs has begun to be realised. Recent years have seen increased exploration of the use of sensors and machine learning, but the role of humans in the delivery of EMI is also varied. The variety of capabilities exhibited by EMIs motivates development of a more precise vocabulary for capturing both automatic and human tailoring of these interventions.
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