A Conceptual Model of Home-Based Cardiac Rehabilitation Exercise Adherence in Patients with Chronic Heart Failure: A Constructivist Grounded Theory Study

康复 概念模型 扎根理论 逻辑模型 定性研究 医学 建构主义扎根理论 概念框架 物理疗法 心力衰竭 编码(社会科学) 概念框架 应用心理学 物理医学与康复 心理学 计算机科学 数据库 心脏病学 艺术 社会科学 哲学 统计 数学 认识论 社会学 表演艺术 艺术史
作者
Zhen Yang,Longfeng Sun,Yuanhui Sun,Yu Dong,Aiping Wang
出处
期刊:Patient Preference and Adherence [Dove Medical Press]
卷期号:Volume 17: 851-860 被引量:26
标识
DOI:10.2147/ppa.s404287
摘要

This study aimed to explore a conceptual model of home-based cardiac rehabilitation exercise adherence and reveal its internal behavioral logic. A constructivist grounded theory design was adopted to explore the conceptual model of home-based cardiac rehabilitation exercise adherence. Semi-structured interviews were completed to collect qualitative data for constructing the conceptual model. The theoretical saturation and validation strategies were adopted to demonstrate the adequacy of qualitative data. A three-level coding procedure with constant comparisons was completed to analyze this qualitative data. A total of 21 patients with chronic heart failure were recruited in this study. As a result of this study, 32 initial codes, 12 category codes, and four core categories were extracted, namely, seeking supports, rehabilitation exercise, exercise monitoring and information feedback. According to the internal behavioral logic, the conceptual model of home cardiac rehabilitation exercise adherence was finally formed. In this closed-chain model, seeking supports is the initial adherence behavior, and rehabilitation exercise is the core adherence behavior, and exercise monitoring is the key adherence behavior, and information feedback is the driving adherence behavior. The conceptual model of home-based cardiac rehabilitation exercise adherence in patients with chronic heart failure was developed, revealing its internal behavioral logic and providing theoretical references for developing relevant clinical research tools with comprehensive coverage and identifying weak links.
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