Günther Oliver H, Roick Christiane, Angermeyer Matthias C, König Hans-Helmut
Health Economics Research Unit, University of Leipzig, Johannisallee 20, 04317 Leipzig, Germany.
J Affect Disord. 2008 Jan;105(1-3):81-91. doi: 10.1016/j.jad.2007.04.018. Epub 2007 May 29.
The EQ-5D provides preference weights (utilities) for health-related quality of life to be used for calculating quality-adjusted life years (QALYs) in cost-utility analysis. The aim of this study was to compare differences in EQ-5D utility scores with differences in quality of life, psychopathology, and social functioning scores.
In an observational longitudinal cohort study, EQ-5D utilities (EQ visual analogue scale (EQ VAS), EQ-5D indices of the United Kingdom (EQ-5D index-UK) and Germany (EQ-5D index-D)) were compared with scores of the WHOQOL-BREF, CGI, and GAF at baseline and at 18 months (N=104). The patients' health status at follow-up was categorized as "worse", "stable", or "better" using the EQ-5D transition question (patient-based anchor) and the Bech-Rafaelsen melancholy scale (clinician-based anchor). Effect sizes (ES) were used to compare differences in scores within each group over time; regression analysis was used to derive meaningful difference scores in health status associated with a shift from "stable" to "better" health status.
The most responsive instrument was the CGI (patient-based anchor: ES=|0.98|; clinician-based anchor: ES=|1.35|); responsiveness was large in EQ VAS (patient-based anchor: ES=|0.84|; clinician-based anchor: ES=|1.19|), but rather small to medium for EQ-5D index-UK (patient-based anchor: ES=|0.55|; clinician-based anchor: ES=|0.65|) and EQ-5D index-D (patient-based anchor: ES=|0.41|; clinician-based anchor: ES=|0.45|). Compared with the other instruments, the shift to a "better health status" was smaller if elicited by the EQ-5D indices.
Both EQ-5D indices were less responsive and need larger patient samples to detect meaningful differences compared with EQ VAS and the other instruments.
EQ-5D为健康相关生活质量提供偏好权重(效用值),用于成本效用分析中计算质量调整生命年(QALY)。本研究旨在比较EQ-5D效用得分差异与生活质量、精神病理学及社会功能得分差异。
在一项观察性纵向队列研究中,将EQ-5D效用值(EQ视觉模拟量表(EQ VAS)、英国的EQ-5D指数(EQ-5D index-UK)和德国的EQ-5D指数(EQ-5D index-D))与基线及18个月时的世界卫生组织生活质量简表(WHOQOL-BREF)、临床总体印象量表(CGI)及大体功能评定量表(GAF)得分进行比较(N = 104)。使用EQ-5D转换问题(基于患者的锚定)和Bech-Rafaelsen抑郁量表(基于临床医生的锚定)将随访时患者的健康状况分类为“更差”、“稳定”或“更好”。效应量(ES)用于比较每组内随时间变化的得分差异;回归分析用于得出与从“稳定”健康状况转变为“更好”健康状况相关的有意义的健康状况差异得分。
反应最灵敏的工具是CGI(基于患者的锚定:ES = |0.98|;基于临床医生的锚定:ES = |1.35|);EQ VAS反应较大(基于患者的锚定:ES = |0.84|;基于临床医生的锚定:ES = |1.19|),但对于英国EQ-5D指数(基于患者的锚定:ES = |0.55|;基于临床医生的锚定:ES = |0.65|)和德国EQ-5D指数(基于患者的锚定:ES = |0.41|;基于临床医生的锚定:ES = |0.45|)而言反应较小至中等。与其他工具相比,由EQ-5D指数引发的向“更好健康状况”的转变较小。
与EQ VAS和其他工具相比,两种EQ-5D指数反应性均较低,需要更大的患者样本量才能检测到有意义的差异。