在EQ-5D-5L估值中的规模和利率异质性
Maksat Jumamyradov1, Benjamin M Craig2, Michał Jakubczyk3
1Department of Economics, University of South Florida, Tampa, FL, USA. maksat@usf.edu.
Health and quality of life outcomes
|July 13, 2024
概括
规模和速率参数的异质性提高了质量调整后生命年 (QALY) 值集的有效性. 考虑到个体差异,可以增强健康评估模型和选择分析.
科学领域:
- 卫生经济学 卫生经济学
- 心理测量 心理测量 心理测量
- 生物统计学 生物统计学
背景情况:
- 估计质量调整寿命年 (QALY) 值通常涉及辅助参数,如规模因子和折扣率.
- 这些参数在个体之间可能会有很大的差异,这会影响QALY估计的准确性.
- 了解和建模这种异质性对于强大的健康评估至关重要.
研究的目的:
- 调查允许规模和贴现率参数的异质性对EQ-5D-5L值的估计的影响.
- 评估这些参数中的个人差异是否会改善 QALY 值集的面值有效性.
主要方法:
- 利用了2016年EQ-5D-5L估值研究的两波数据 (N=1017和N=1229).
- 估计条件逻辑 (CL) 和混合逻辑模型,包括随机规模,随机速率和双变量模型.
- 假设并测试了尺度和速率参数之间的相关性及其对模型有效性的影响.
主要成果:
- 规模和速率参数显示出显著的异质性和正相关性.
- 允许异质性减少了EQ-5D-5L值集中微不足道的增量效应的数量 (从6个减少到20个中的2个).
- 来自CL和双变混合逻辑模型的估计高度相关和一致.
结论:
- 在尺度和速率参数中整合异质性可以提高EQ-5D-5L值的面值有效性.
- 这种方法为估计模型添加了三个参数 (两个方差和一个相关性).
- 这些发现对健康评估研究中的实验设计和选择分析有影响.
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