报告有关健康状况值的不确定性:一种标准方法和实例
Nancy J Devlin1, Giselle Abangma2, Andrew Lloyd2
1Melbourne School of Population and Global Health, University of Melbourne, Melbourne, Australia.
概括
研究人员展示了与健康相关的生活质量价值计算标准误差 (SE) 的方法. 这为成本效益模型提供了关键的不确定性信息,增强了敏感性分析.
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:
- 价值集对于成本效益分析至关重要,通常报告系数标准误差 (SE).
- 现有的报告实践缺乏关于健康状况价值不确定性的信息,这阻碍了经济建模中的敏感性分析.
- 对于与健康相关的生活质量价值的标准误差对于稳健的经济评估至关重要.
研究的目的:
- 展示一套值集内的所有健康状况值计算SE的方法.
- 为了提供一个实际的例子,使用英国的EQ-5D-3L值集.
- 倡导对健康状况值进行SEs的例行报告.
主要方法:
- 使用来自价值集合模型的方差/共方差矩阵来估计SEs.
- 应用该方法来复制英国EQ-5D-3L值集及其相关的方差/协方差矩阵.
- 使用健康测量和评估研究数据计算所有243个EQ-5D-3L健康状况的SEs.
主要成果:
- 成功计算了英国EQ-5D-3L值组中的所有健康状态的SEs.
- 发现SE的范围相对于健康状况值来说很小.
- 计算的SE取决于模型规格,并可能因其他规格而有所不同.
结论:
- 应该采用SE对健康状况值的例行报告,以告知用户参数不确定性.
- 这些SE代表了全面了解偏好权重不确定性的重要一步.
- 对价值集的不确定性报告的改进将提高质量调整的寿命年 (QALY) 估计的可靠性.
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