Advancing translational research in digital cardiac rehabilitation: The preparation phase of the Multiphase Optimization Strategy.

IF 3.6 3区 医学 Q1 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Eanna Kenny, John W McEvoy, Jenny McSharry, Rod S Taylor, Molly Byrne
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引用次数: 0

Abstract

While digital cardiac rehabilitation (CR) is an effective alternative to center-based CR, its components and mechanisms of change remain poorly understood. The Multiphase Optimization Strategy (MOST) provides a framework that allows the effects of individual components of complex interventions to be studied. There is limited guidance within MOST on how to develop a conceptual model. This article describes the development of a conceptual model of digital CR. The conceptual model was developed based on several strands of evidence: (i) a systematic review of 25 randomized controlled trials to identify the behavior change techniques in digital CR interventions, (ii) a qualitative study of patients' (n = 11) perceptions of the mechanisms of digital CR, and (iii) a review of international guidelines. Tools and frameworks from behavioral science, including the Behaviour Change Wheel, Capability, Opportunity, Motivation and Behavior model, and Theoretical Domains Framework were used to integrate the findings. An initial conceptual model of digital CR was developed and then refined through discussion. The conceptual model outlines the causal process through which digital CR can enhance outcomes for patients with cardiovascular disease. The model illustrates the key intervention components (e.g. goal setting and self-monitoring, education, exercise training), targeted outcomes (e.g. physical activity, healthy eating, medication adherence), and theorized mediating variables (e.g. knowledge, beliefs about capability). The article provides an example of how behavioral science frameworks and tools can inform the preparation phase of MOST. The developed conceptual model of digital CR will inform guide decision-making in a future optimization trial.

虽然数字化心脏康复(CR)是中心式心脏康复的有效替代方案,但人们对其组成部分和变化机制仍然知之甚少。多阶段优化策略(MOST)提供了一个框架,可以研究复杂干预措施中各个组成部分的效果。多阶段优化策略中关于如何开发概念模型的指导非常有限。本文介绍了数字 CR 概念模型的开发过程。概念模型的开发基于以下几个方面的证据:(i) 对 25 项随机对照试验进行系统回顾,以确定数字 CR 干预中的行为改变技术;(ii) 对患者(n = 11)对数字 CR 机制的看法进行定性研究;(iii) 对国际指南进行回顾。研究采用了行为科学的工具和框架,包括 "行为改变轮"、"能力、机会、动机和行为模型 "以及 "理论领域框架",以整合研究结果。建立了数字 CR 的初步概念模型,然后通过讨论加以完善。该概念模型概述了数字 CR 可以提高心血管疾病患者治疗效果的因果过程。该模型说明了关键的干预要素(如目标设定和自我监控、教育、运动训练)、目标结果(如体育锻炼、健康饮食、坚持服药)以及理论上的中介变量(如知识、对能力的信念)。文章举例说明了行为科学框架和工具如何为社会变革管理计划的准备阶段提供信息。所开发的数字 CR 概念模型将为未来的优化试验提供决策指导。
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来源期刊
Translational Behavioral Medicine
Translational Behavioral Medicine PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH -
CiteScore
6.80
自引率
0.00%
发文量
87
期刊介绍: Translational Behavioral Medicine publishes content that engages, informs, and catalyzes dialogue about behavioral medicine among the research, practice, and policy communities. TBM began receiving an Impact Factor in 2015 and currently holds an Impact Factor of 2.989. TBM is one of two journals published by the Society of Behavioral Medicine. The Society of Behavioral Medicine is a multidisciplinary organization of clinicians, educators, and scientists dedicated to promoting the study of the interactions of behavior with biology and the environment, and then applying that knowledge to improve the health and well-being of individuals, families, communities, and populations.
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