在慢性疾病管理中建模ROI:一个基于模拟的框架,整合了患者的坚持和政策时间
Jinho Cha1, Eunchan Daniel Cha2, Emily Haneul Yoo3
1Department of Computer Science, Gwinnett Technical College, Georgia, USA. jcha@GwinnettTech.edu.
BMC public health
|December 19, 2025
概括
慢性疾病的早期适应性干预提供了最好的投资回报 (ROI),通过改善患者的坚持和减缓疾病的进展. 这种方法对于具有成本效益的医疗保健政策至关重要.
科学领域:
- 卫生经济学 卫生经济学
- 慢性疾病管理 慢性疾病管理
- 卫生政策分析 卫生政策分析
背景情况:
- 慢性疾病对医疗保健系统构成重大,持续的财务压力.
- 由于患者行为和社会经济因素的多样性,增强坚持的干预措施的投资回报率 (ROI) 尚不清楚.
研究的目的:
- 开发和验证一个模拟框架,以评估慢性疾病的坚持干预措施的经济影响.
- 在不同的条件下量化不同坚持策略的ROI.
主要方法:
- 创建了一个模拟框架,整合了疾病进展,坚持动态和政策实施时间表.
- 连续时间随机模型,与医疗支出小组调查 (MEPS) 数据进行校准,按收入分层,在10年内预计的成本.
主要成果:
- 早期和适应性干预表明了最高的投资回报率,在特定的坚持收益和政策成本门下超过20%.
- 在收入水平之间观察到ROI的显著差异,最低层和最高层之间的差距为32%.
- 灵敏度分析证实了该模型在坚持和通货膨胀的变化方面具有稳健性.
结论:
- 开发的框架提供了一种灵活的工具,用于评估慢性疾病管理中的遵守策略的成本效益.
- 这些发现支持通过将行为结果与财务可行性联系起来,设计有效和公平的健康政策.
- 该模型的可扩展性允许未来整合DALY和QALY等健康结果.
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