Operationalizing Behavioral Theory for mHealth: Dynamics, Context, and Personalization

移动医疗行为理论的实施：动态、情境和个性化

• 批准号: 10560415
• 负责人: Predrag Klasnja
• 金额: $ 10万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-19 至 2023-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10560415
• 关键词: Address; Administrative Supplement; Affect; Award; Behavior; Behavioral; Characteristics; Complex; Computer Models; Data; Data Collection; Data Set; Databases; Development; Dose; Ecological momentary assessment; Effectiveness; Effectiveness of Interventions; Exposure to; Frequencies; Geographic Locations; Goals; Health behavior; Individual; Intervention; Lead; Link; Measures; Metadata; Methods; Modeling; Parents; Participant; Patient Self-Report; Pattern; Persons; Predictive Factor; Process; Randomized; Recording of previous events; Research; Research Personnel; Running; Scheme; Science; Smoking; Statistical Models; Techniques; Testing; Time; Weight; Work; adaptive intervention; analytical method; behavior change; behavior influence; data curation; data de-identification; data harmonization; data sharing; data streams; diaries; digital; digital intervention; fitbit; fitness; insight; interest; mHealth; member; mobile computing; model development; novel; parent grant; parent project; patient engagement; psychologic; randomized trial; secondary analysis; sensor technology; study population; theories; tool

Abstract This Administrative Supplement expands on the Specific Aims of the parent U01 award by proposing to harmonize data across the Micro-Randomized Trials (MRTs) involved in the Intensive Longitudinal Health Behaviors Network (ILHBN) to study engagement in digital trials and just-in-time interventions. This parent project (HeartSteps II, U01CA229445) is part of the ILHBN, established to collaboratively study factors that influence dynamic health behaviors in individuals’ daily lives using intensive longitudinal data (ILD) collection and novel analytic methods. The network includes seven U01 projects and one U24 Research Coordinating Center (RCC). The effectiveness of digital interventions is heavily reliant upon the participant’s engagement with the digital behavior change intervention (DBCI). To achieve behavior change, the participant needs to engage with the interface components of the DBCI app (e.g., app page views, logins), as well as the behavior change techniques (e.g., activity planning, weight-logging, diary entries) employed in the DBCI. There are tremendous opportunities to advance theory-driven behavior change interventions by sharing and analyzing ILD across the ILHBN network interventions. To maximize the utility of these data to advance the science of mobile health engagement and to support researchers interested in developing and testing new methods for analyzing complex, real-world behavioral data, we propose an Administrative Supplement that augments the work of the parent grant with the following new specific aims; 1): Curate and share data, paradata, and metadata with members of the ILHBN, and 2) Operationalize and Model Engagement in JIT interventions. This project will the first to investigate the patterns and correlates and causes of changes in engagement in Just-In-Time, mobile interventions over time. It will also support the curation of data to be contributed to the ILHBN flagship database. These data will support the development of models with the potential to lead to insights about a range of dynamic behavioral processes including engagement with mobile technologies in general. Finally, this Supplement will support the development of dynamic computational models of engagement in JITAIs and the tools to run them. Together, these activities move the field of ILD and engagement with ILD and JITAIs forward substantially.

抽象的 这种行政补充剂扩展了父母U01奖的具体目的 在密集型纵向健康中涉及的微型传递试验（MRT）中协调数据 行为网络（ILHBN）研究数字试验和即时干预的参与度。这个父母 项目（HeartSteps II，U01CA229445）是ILHBN的一部分，建立了协作研究因素 使用密集的纵向数据（ILD）收集来影响个人日常生活的动态健康行为 和新型分析方法。该网络包括七个U01项目和一个U24研究协调 中心（RCC）。数字干预的有效性在很大程度上依赖于参与者的参与 数字行为变化干预（DBCI）。为了改变行为，参与者需要参与 使用DBCI应用程序的接口组件（例如，应用程序页面视图，登录）以及行为更改 DBCI中带有的技术（例如活动计划，重量杂志，日记条目）。有很多 通过共享和分析ILD的机会，以推进理论驱动的行为改变干预措施 ILHBN网络干预措施。为了最大程度地提高这些数据的效用，以提高移动健康科学 参与并支持有兴趣开发和测试新方法进行分析的研究人员 复杂的，现实世界中的行为数据，我们提出了一种行政补充，以增强 父母授予以下新的特定目标； 1）：与 ILHBN的成员以及2）在JIT干预中进行操作和建模。这个项目 第一个研究模式和相关的模式和原因，及时的变化， 移动干预随着时间的流逝。它还将支持为ILHBN旗舰造成的数据策划 数据库。这些数据将支持模型的开发，有可能导致有关范围的见解 动态行为过程，包括与移动技术的参与。最后，这个 补充将支持开发Jitais和 运行它们的工具。这些活动共同推动了ILD和与ILD和JITAIS的互动领域 基本上。

项目成果

Enhanced Social Cognitive Theory Dynamic Modeling and Simulation Towards Improving the Estimation of "Just-In-Time" States.

增强社会认知理论动态建模和模拟以改进“即时”状态的估计。

• DOI: 10.23919/acc53348.2022.9867493
• 发表时间: 2022
• 期刊: Proceedings of the ... American Control Conference. American Control Conference
• 作者: ElMistiri,Mohamed;Rivera,DanielE;Klasnja,Predrag;Park,Junghwan;Hekler,Eric
• 通讯作者: Hekler,Eric

Model Personalization in Behavioral Interventions using Model-on-Demand Estimation and Discrete Simultaneous Perturbation Stochastic Approximation.

• DOI: 10.23919/acc53348.2022.9867669
• 发表时间: 2022-06
• 期刊: Proceedings of the ... American Control Conference. American Control Conference