Building health behavior models to guide the development of just-in-time adaptive interventions: A pragmatic framework.
Building health behavior models to guide the development of just-in-time adaptive interventions: A pragmatic framework.
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DOI：
10.1037/hea0000306
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发表时间：
2015-12
期刊：
影响因子：
--
通讯作者：
Spruijt-Metz D
中科院分区：
文献类型：
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作者：
Nahum-Shani I;Hekler EB;Spruijt-Metz D
无线设备和移动技术的进步为提供即时自适应干预（JITAIs）提供了许多机会，这些干预措施可以随着时间的推移适应个人不断变化的状态和环境，目标是满足个人对支持的需求，无论何时出现这种需求。旨在开发JITAI的行为科学家面临的一个主要挑战是，如何将现有的经验、理论和实践证据选择和整合到一个科学模型中，从而为JITAI的构建提供信息，并帮助识别科学差距。本文的目的是建立一个实用的框架，可以用来组织现有的证据，为JITAI建设一个有用的模型。该框架包括澄清JITAI的概念目的，即通过适应提供及时的支持，以及描述JITAI的组成部分，并阐明一系列具体问题，以指导JITAI构建有用模型的建立。拟议的框架包括一个组织方案，用于将许多健康行为干预措施背后的相对静态的科学模型转化为更好地结合时间因素的更动态的模型。这一框架将有助于指导下一代实证工作，以支持建立有效的jitai。
Advances in wireless devices and mobile technology offer many opportunities for delivering just-in-time adaptive interventions (JITAIs)--suites of interventions that adapt over time to an individual’s changing status and circumstances with the goal to address the individual’s need for support, whenever this need arises. A major challenge confronting behavioral scientists aiming to develop a JITAI concerns the selection and integration of existing empirical, theoretical and practical evidence into a scientific model that can inform the construction of a JITAI and help identify scientific gaps. The purpose of this paper is to establish a pragmatic framework that can be used to organize existing evidence into a useful model for JITAI construction. This framework involves clarifying the conceptual purpose of a JITAI, namely the provision of just-in-time support via adaptation, as well as describing the components of a JITAI and articulating a list of concrete questions to guide the establishment of a useful model for JITAI construction. The proposed framework includes an organizing scheme for translating the relatively static scientific models underlying many health behavior interventions into a more dynamic model that better incorporates the element of time. This framework will help to guide the next generation of empirical work to support the creation of effective JITAIs.