A Systematic Literature Review of Important and Meaningful Differences in the EQ-5D Index and Visual Analog Scale Scores.

IF 4.9 2区 医学 Q1 ECONOMICS Value in Health Pub Date : 2024-12-16 DOI:10.1016/j.jval.2024.11.006
Fatima Al Sayah, Xuejing Jin, Hilary Short, Nathan S McClure, Arto Ohinmaa, Jeffrey A Johnson
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Abstract

Objectives: We aimed to provide a comprehensive summary, synthesis, and appraisal of minimally important difference (MID) estimates for EQ-5D instruments.

Methods: We conducted a systematic search using relevant terms related to "minimally/clinically, meaningful/ important difference/change" and "EQ-5D" in 6 major databases, including MEDLINE, Embase, PsycINFO, CINAHL, Scopus, and Cochrane Library (up to January 2023). We included studies that provided at least 1 original MID estimate for the EQ-5D.

Results: A total of 90 studies reporting 840 MID estimates were included. MID estimates for the EQ-5D-3L index score ranged from 0.075 to 0.8 using distribution-based approaches (239 estimates; 20 studies), from 0.003 to 0.72 using anchor-based approaches (189 estimates; 43 studies), and from 0.038 to 0.082 using instrument-defined approaches (4 estimates; 1 study). For the EQ-5D-5L, MID estimates ranged from 0.023 to 0.115 using distribution-based approaches (17 estimates; 12 studies), from 0.01 to 0.41 using anchor-based approaches (97 estimates; 15 studies), and from 0.037 to 0.101 using instrument-defined approaches (62 estimates; 8 studies). For the EQ visual analog scale, MID estimates ranged from 0.96 to 16.6 using distribution-based approaches (87 estimates; 14 studies) and from 0.42 to 51.0 using anchor-based approaches (84 estimates; 24 studies). MID estimates varied by underlying clinical conditions, baseline scores, and direction of change.

Conclusions: A wide range of MID estimates for EQ-5D instruments were identified, highlighting the variability of MID across populations, estimation methods, direction of change, baseline scores, and EQ-5D versions. These factors should be carefully considered when selecting an appropriate MID for interpreting EQ-5D scores.

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EQ-5D指数与视觉模拟量表评分重要且有意义差异的系统文献综述。
目的:我们旨在对EQ-5D仪器的最小重要差异(MID)估计提供全面的总结、综合和评估。方法:系统检索MEDLINE、EMBASE、PsycINFO、CINAHL、Scopus、Cochrane Library等6个主要数据库(截至2023年1月)中“最小/临床、有意义/重要差异/变化”和“EQ-5D”相关术语。我们纳入了为EQ-5D提供至少一个原始MID估计的研究。结果:共纳入90项研究报告840例MID估计。使用基于分布的方法,EQ-5D-3L指数评分的MID估计范围为0.075至0.8(239个估计;使用基于锚点的方法,从0.003到0.72(189个估计;43项研究),使用工具定义的方法从0.038到0.082(4项估计;1研究)。对于EQ-5D-5L,使用基于分布的方法,MID估计范围为0.023至0.115(17个估计;12项研究),使用基于锚点的方法,从0.01到0.41(97项估计;15项研究),使用工具定义方法从0.037到0.101(62项估计;8研究)。对于EQ视觉模拟量表(VAS),使用基于分布的方法,MID估计范围为0.96至16.6(87个估计;14项研究),使用基于锚点的方法从0.42到51.0(84项估计;24研究)。MID的估计因潜在的临床状况、基线评分和变化方向而异。结论:确定了EQ-5D仪器的广泛MID估计,突出了人群、估计方法、变化方向、基线分数和EQ-5D版本之间MID的可变性。在选择合适的MID来解释EQ-5D分数时,应仔细考虑这些因素。
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来源期刊
Value in Health
Value in Health 医学-卫生保健
CiteScore
6.90
自引率
6.70%
发文量
3064
审稿时长
3-8 weeks
期刊介绍: Value in Health contains original research articles for pharmacoeconomics, health economics, and outcomes research (clinical, economic, and patient-reported outcomes/preference-based research), as well as conceptual and health policy articles that provide valuable information for health care decision-makers as well as the research community. As the official journal of ISPOR, Value in Health provides a forum for researchers, as well as health care decision-makers to translate outcomes research into health care decisions.
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