用于在完整的健康死亡实用量表上定潜值的方法的比较
Thomas G Poder1, Hosein Ameri1
1School of Public Health, University of Montreal, QC, Canada; Centre de Recherche de l'IUSMM, CIUSSS de l'Est de l'Île de Montréal, QC, Canada.
Social science & medicine (1982)
|August 17, 2025
概括
混合定方法有效预测健康效用值,优于其他方法. 这种方法是推用于可靠地将顺序实用数据固定到完整的健康-死亡尺度.
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:
- 对于健康实用值的常规方法在定到全健康死亡尺度时面临挑战.
- 本研究评估了五种不同的定方法来应对这一挑战.
研究的目的:
- 为了比较健康实用值的五种定方法的性能.
- 确定最可靠的方法来定常规公用事业数据.
主要方法:
- 评估了五种定方法:排名,DCE映射,DCEWHS,DCE混合和DCETTO.
- 来自北克一般人口调查 (2016-2020) 的数据被用于通过简单形式6维版本2 (SF-6Dv2) 来估计卫生公用事业.
- 使用系数分析,与复合时间权衡 (cTTO) 值的平均绝对差异 (MAD) 和视觉模式比较来比较方法.
主要成果:
- 混合定方法 (DCEHybrid) 产生了最小的平均绝对差异 (MAD) 0.056,表明性能优越.
- DCETTO方法显示了最高的MAD (0.423) 和在所有州低估医疗公用事业的倾向.
- 其他方法,如排名和DCE映射显示偏见,低估了更好的健康状况和高估了严重的健康状况.
结论:
- 混合定方法是最合适和最可靠的方法,用于定常规公用事业数据.
- 与其他评估方法相比,它在预测观察到的复合时间权衡 (cTTO) 值方面表现优异.
- DCETTO模型显示了显著的偏差和低估,突出了它的局限性.
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