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对EQ-5D指数和视觉模拟尺度得分的重要和有意义的差异进行系统的文献综述

Fatima Al Sayah¹, Xuejing Jin², Hilary Short¹

¹Alberta PROMs and EQ-5D Research and Support Unit, School of Public Health, University of Alberta, Edmonton, AB, Canada.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research

|December 18, 2024

概括

本研究总结了EQ-5D仪器的最小重要差异 (MID) 估计. 研究结果显示,在不同EQ-5D版本,种群和方法中,MID值存在显著的变化.

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
临床结果研究研究

背景情况:

EQ-5D是衡量健康相关生活质量的广泛使用的仪器.
解释EQ-5D分数的变化需要了解最小重要的差异 (MID).
之前对EQ-5D仪器的MID估计的综合是有限的.

研究的目的:

系统地总结,综合和评估EQ-5D仪器现有的最小重要差异 (MID) 估计.
为不同的EQ-5D版本和估计方法提供MID值的全面概述.

主要方法:

在六个主要数据库 (MEDLINE,Embase,PsycINFO,CINAHL,Scopus,Cochrane Library) 进行了系统的文献搜索,截至2023年1月.
包括报告任何EQ-5D仪器原始MID估计的研究.
根据EQ-5D版本 (EQ-5D-3L,EQ-5D-5L,EQ VAS) 和估计方法 (基于分布的,基于的,以仪器定义) 分类MID估计.

主要成果:

九十项研究为EQ-5D仪器提供了840个MID估计.
MID估计有很大差异,范围根据EQ-5D版本,估计方法,人口,基线得分和变化方向显著不同.
对于EQ-5D-3L,基于分布的MID从0.075到0.8不等,基于的MID从0.003到0.72.
对于EQ-5D-5L,基于分布的MID从0.023到0.115不等,基于的MID从0.01到0.41.
视觉模拟尺度 (VAS) 的MID在0.96至16.6 (基于分布) 和0.42至51.0 (基于) 之间.

结论:

在EQ-5D仪器的MID估计中观察到大量的异质性.
MID的变化受到包括人口特征,估计方法,健康变化的方向和基线得分在内的因素的影响.
在选择和解释EQ-5D分数的MID值时,仔细考虑这些因素至关重要.

关键词:

在EQ-5D中,我们可以使用EQ-5D.这就是VAS VAS.基于的 anchor 的基础上.基于分布的分配方式.最少重要的差异.

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