药物不服药的定量框架:整合患者的治疗期望和偏好
Charles Muiruri1,2, Eline M van den Broek-Altenburg3, Hayden B Bosworth1,4
1Department of Population Health Sciences, Duke University School of Medicine, Durham, NC, USA.
Patient preference and adherence
|December 11, 2023
概括
这项研究引入了一种新的模型,通过分析患者的信念和期望来预测药物不服药. 该框架量化了患者偏好如何影响对抗高血压药物等治疗方法的坚持.
科学领域:
- 卫生经济学 卫生经济学
- 行为科学 行为科学
- 药物经济学 药物经济学
背景情况:
- 药物不服药会对治疗结果和医疗费用产生重大影响.
- 现有的模型很难量化干预措施的影响或解决有意识的不遵守问题.
- 需要一个新的框架来预测基于患者特定因素的不遵守.
研究的目的:
- 开发和验证用于预测药物不服药的经验框架.
- 量化患者的信念,效果期望,感知成本和坚持之间的关系.
- 评估干预措施对个人和人口层面的药物坚持的影响.
主要方法:
- 开发了一个包含健康生产功能的经验框架.
- 进行了一项试点研究,使用双绑定随机信念 (DBCB) 问卷.
- DBCB问卷评估了患者对健康结果的敏感性和对不遵守水平的成本.
主要成果:
- 患者认为治疗疗效对不坚持治疗的敏感度低于副作用.
- 患者可以战略性地管理坚持以最大限度地减少副作用而不会影响疗效.
- 当感知到的有效性超过副作用时,完全遵守是最好的;收入与期望相关.
结论:
- 开发的框架量化地将不遵守与患者偏好联系在一起.
- 初步结果表明,这是一种可行的方法来评估高血压的坚持干预措施.
- 这种方法为了解和管理药物不服药提供了新的视角.
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