Advancing Models and Theories for Digital Behavior Change Interventions.
Advancing Models and Theories for Digital Behavior Change Interventions.
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DOI：
10.1016/j.amepre.2016.06.013
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发表时间：
2016-11
影响因子：
5.5
通讯作者：
Spruijt-Metz D
中科院分区：
文献类型：
--
作者：
Hekler EB;Michie S;Pavel M;Rivera DE;Collins LM;Jimison HB;Garnett C;Parral S;Spruijt-Metz D
为了适合为数字行为改变干预提供信息，行为改变的理论和模型需要捕捉个体的变化和随时间的变化。本文的目的是根据国际专家（包括行为、计算机和健康科学家和工程师）的讨论，为开发模型和理论提供建议，这些模型和理论可以为数字行为改变干预提供信息。拟议的框架规定使用状态空间表示来定义何时、何地、为谁以及在何种状态下对该人进行干预将产生有针对性的效果。“状态”是个体基于多个变量的状态，这些变量定义了一种作用机制可能产生效果的“空间”。状态空间表示可以用来帮助指导理论化和识别跨学科的方法论策略，以改善测量，实验设计和分析，这些策略可以通过数字行为改变干预来可行地匹配现实世界行为改变的复杂性。
To be suitable for informing digital behavior change interventions, theories and models of behavior change need to capture individual variation and changes over time. The aim of this paper is to provide recommendations for development of models and theories that are informed by, and can inform, digital behavior change interventions based on discussions by international experts, including behavioral, computer, and health scientists and engineers. The proposed framework stipulates the use of a state-space representation to define when, where, for whom, and in what state for that person, an intervention will produce a targeted effect. The “state” is that of the individual based on multiple variables that define the “space” when a mechanism of action may produce the effect. A state-space representation can be used to help guide theorizing and identify crossdisciplinary methodologic strategies for improving measurement, experimental design, and analysis that can feasibly match the complexity of real-world behavior change via digital behavior change interventions.
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影响因子：
5.5
作者：
Kumar, Santosh;Nilsen, Wendy J.;Abernethy, Amy;Atienza, Audie;Patrick, Kevin;Pavel, Misha;Riley, William T.;Shar, Albert;Spring, Bonnie;Spruijt-Metz, Donna;Hedeker, Donald;Honavar, Vasant;Kravitz, Richard;Lefebvre, R. Craig;Mohr, David C.;Murphy, Susan A.;Quinn, Charlene;Shusterman, Vladimir;Swendeman, Dallas
通讯作者：
Swendeman, Dallas
影响因子：
3.5
作者：
Lawson, Peter J.;Flocke, Susan A.
通讯作者：
Flocke, Susan A.
影响因子：
5.2
作者：
Dunton, Genevieve Fridlund;Dzubur, Eldin;Intille, Stephen
通讯作者：
Intille, Stephen
DOI：
10.1177/1090198113496787
发表时间：
2013-10
期刊：
Health education & behavior : the official publication of the Society for Public Health Education
影响因子：
--
作者：
Hekler EB;Buman MP;Poothakandiyil N;Rivera DE;Dzierzewski JM;Morgan AA;McCrae CS;Roberts BL;Marsiske M;Giacobbi PR Jr
通讯作者：
Giacobbi PR Jr
影响因子：
9.8
作者：
Davis R;Campbell R;Hildon Z;Hobbs L;Michie S
通讯作者：
Michie S