Kenny Eanna, McEvoy John W, McSharry Jenny, Taylor Rod S, Byrne Molly
Health Behaviour Change Research Group, School of Psychology, University of Galway, Galway, H91 EV56, Ireland.
School of Medicine, University of Galway, Galway, H91 V4AY, Ireland.
Transl Behav Med. 2025 Jan 16;15(1). doi: 10.1093/tbm/ibae068.
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.
虽然数字心脏康复(CR)是基于中心的心脏康复的有效替代方案,但其组成部分和变化机制仍知之甚少。多阶段优化策略(MOST)提供了一个框架,使复杂干预措施的各个组成部分的效果得以研究。在MOST中,关于如何开发概念模型的指导有限。本文描述了数字心脏康复概念模型的开发过程。该概念模型是基于多方面的证据开发的:(i)对25项随机对照试验进行系统综述,以确定数字心脏康复干预中的行为改变技术;(ii)对11名患者关于数字心脏康复机制的认知进行定性研究;(iii)对国际指南进行综述。运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,来整合研究结果。开发了一个数字心脏康复的初始概念模型,然后通过讨论进行完善。该概念模型概述了数字心脏康复可改善心血管疾病患者预后的因果过程。该模型展示了关键干预组成部分(如目标设定与自我监测、教育、运动训练)、目标结果(如身体活动、健康饮食、药物依从性)以及理论上的中介变量(如知识、对能力的信念)。本文提供了一个行为科学框架和工具如何为MOST的准备阶段提供信息的示例。所开发的数字心脏康复概念模型将为未来优化试验中的决策提供指导。