探索多病症患者的自我管理行为概况:一个连续的,解释性的混合方法研究
Yujia Fu1,2, Jingjie Wu3, Zhiting Guo4
1Department of Nursing, the Fourth Affiliated Hospital of School of Medicine, and International School of Medicine, International Institutes of Medicine, Zhejiang University, Yiwu, People's Republic of China.
多病症患者表现出明显的自我管理行为,受工作量和能力的影响. 针对这些因素的量身定制干预措施对于改善慢性疾病管理中的患者结果至关重要.
科学领域:
- 医疗保健服务研究 医疗服务研究
- 慢性疾病管理 慢性疾病管理
- 患者自我管理
背景情况:
- 多种疾病对患者构成复杂的挑战,需要有效的自我管理策略.
- 了解患者行为概况对于制定有针对性的医疗干预措施至关重要.
研究的目的:
- 在患有多种慢性疾病的患者中识别出不同的自我管理行为概况.
- 探索工作负载和能力及其相互作用对这些自我管理配置文件的影响.
主要方法:
- 一个连续的解释性混合方法设计,涉及1920名多病患者和16个半结构面试.
- 隐性配置文件分析 (LPA) 确定了自我管理配置文件;多项物流回归检查了工作负载和容量影响.
主要成果:
- 出现了三个概况:症状驱动 (8.0%),被动参与 (29.5%) 和积极合作 (62.5%).
- 症状驱动和被动参与的个人资料与更高的工作量和更低的能力相关.
- 工作量和能力的相互作用显著影响了被动参与的个人资料.
结论:
- 在多病症患者中存在不同的自我管理概况,在参与和主动性方面有所不同.
- 干预措施应量身定制,以解决特定患者的情况,重点是管理工作量和增强能力.
- 通过个性化方法优化自我管理可以改善多种慢性疾病患者的健康结果.
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