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.

摘要 本行政补充文件对U 01合同的具体目标进行了扩展，建议： 协调密集纵向健康研究中涉及的微型随机试验（MRT）的数据 行为网络（ILHBN）研究参与数字试验和及时干预。这位家长 项目（HeartSteps II，U 01 CA 229445）是ILHBN的一部分，旨在合作研究 使用密集的纵向数据（ILD）收集影响个人日常生活中的动态健康行为 和新颖的分析方法。该网络包括七个U 01项目和一个U24研究协调项目。 中心（RCC）。数字干预的有效性在很大程度上取决于参与者的参与， 数字行为改变干预（DBCI）为了实现行为改变，参与者需要参与 使用DBCI应用程序的接口组件（例如，应用程序页面浏览量、登录次数）以及行为变化 技术（例如，活动计划、体重记录、日记条目）。有巨大 通过分享和分析ILD，促进理论驱动的行为改变干预的机会 ILHBN网络干预措施。为了最大限度地利用这些数据来推进移动的健康科学 参与并支持有兴趣开发和测试新方法的研究人员， 复杂的，真实世界的行为数据，我们提出了一个行政补充，增强了工作的 父母补助金，具有以下新的具体目标; 1）：与以下人员管理和共享数据，paradigm和元数据 ILHBN的成员，以及2）在JIT干预中操作和建模参与。这个项目 将是第一个调查准时制中参与变化的模式、相关因素和原因的人， 随着时间的推移，移动的干预。它还将支持为ILHBN旗舰提供数据的管理 数据库这些数据将支持模型的开发，这些模型有可能导致对一系列问题的深入了解。 动态行为过程，包括一般的移动的技术的参与。最后 补编将支持在JITAIs和 工具来运行它们。总之，这些活动推动了ILD领域以及与ILD和JITAI的合作 实质上。

项目成果

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

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