为多种条件调整健康状态实用值:巴西现实世界EQ-5D-3L数据建模
Milene Rangel da Costa1,2, Bráulio Dos Santos Júnior3, Marisa da Silva Santos3
1Centre of Health Technology Assessment, National Institute of Cardiology, Rio de Janeiro, Brazil. milener.costa@gmail.com.
PharmacoEconomics - open
|May 31, 2025
概括
估计巴西多种疾病的健康实用值需要仔细选择方法. 最小方法对两个条件是最好的,而乘法方法对三种或更多条件更准确,影响健康经济评估.
科学领域:
- 卫生经济学 卫生经济学
- 决策分析建模 决策分析建模
- 生活质量研究 研究 生命质量研究
背景情况:
- 卫生经济评估使用决策分析模型来估计卫生技术的结果.
- 与健康有关的生活质量是用实用值来衡量的,通常用于多种条件的组合.
- 现有的方法 (加法,乘法,最小,ADE) 缺乏联合公用事业的共识.
研究的目的:
- 为了比较估计多条件健康状态中的效用值的方法.
- 分析巴西人口数据,以估计效用价值.
- 为了确定不同数量的并发病的最准确的方法.
主要方法:
- 巴西的横截面研究,共有5774名参与者.
- EQ-5D-3L问卷用于收集实用值.
- 测试了四种实用性调整方法 (增量,乘数,最小,ADE) 并对准确性和偏差进行了比较.
主要成果:
- 较低的实用性得分与更多的并发症相关.
- 最小方法准确地估计了两个条件的公用事业.
- 乘法方法在有两个以上条件的状态中显示出更高的准确性.
- 调整基线效用以平均健康的效用减少了偏差.
结论:
- 对公用事业调整的方法选择取决于可用的数据和条件的数量.
- 对于巴西的效用值,建议在两个条件下使用最小方法.
- 对于具有两个以上条件的健康状况,优先使用乘法方法.
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