一个数据驱动的数学模型,用于评估延迟获得创新药物的社会和经济负担
Foteini Theiakou1, Catherine Kastanioti1, Dimitris Rekkas2
1Department of Business Administration and Organizations, University of Peloponnese, Kalamata, Greece.
AIMS public health
|October 23, 2025
概括
药品报销延迟显著增加死亡率和经济损失. 一个新的框架量化了这些影响,倡导有效的制药政策,以确保及时获得创新的治疗方法.
科学领域:
- 卫生经济学 卫生经济学
- 制药政策 制药政策
- 数学建模的数学建模
背景情况:
- 延迟药品报销和分发的社会和经济影响.
- 需要对这些延误进行定量评估.
研究的目的:
- 引入一种新的数学框架来量化延迟获得创新药物的影响.
- 评估对死亡率和经济生产力的影响.
主要方法:
- 生命损失的利用年数 (YLL) 用于测量过早死亡率.
- 计算的潜在生产寿命损失年 (YPPLL) 和生产力损失成本 (CPL).
- 纳入了赫利格曼-波拉德 (HP) 模型用于死亡概率.
主要成果:
- 长时间的延误显著增加死亡率和经济损失.
- 证明了延迟退款对患者群体的不利影响.
- 强调了高质量的医疗保健数据在准确的影响评估中的关键作用.
结论:
- 有效的制药政策制定对于最大限度地提高创新治疗的社会效益至关重要.
- 在医疗保健系统中优先考虑健康结果和经济可持续性.
- 倡导基于证据的政策,以促进公平的医疗保健准入,并尽量减少差异.
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