关于在卫生技术评估中使用 EQ-5D 实用性指数和 EQ-VAS 评分的最小重要差异的范围综述。

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC
Caroline Shaw, Louise Longworth, Bryan Bennett, Louise McEntee-Richardson, James W Shaw
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引用次数: 0

摘要

目的:最小重要差异(MID)的估算有助于解释使用患者报告结果(PRO)收集的数据,但健康技术评估(HTA)指南对最小重要差异的重视程度存在差异。本研究旨在确定选定的 HTA 机构在多大程度上需要并利用常用的 PRO(EQ-5D)的 MID 信息:对英国、法国、德国和美国的 HTA 机构在 2019 年至 2021 年期间的技术评估(TA)文件进行了审查,以确定将 EQ-5D 数据的 MID 作为临床结果评估(COA)终点进行讨论的文件:在151份使用EQ-5D作为COA终点的TA中,有58份(38%)讨论了EQ-5D数据的MID。在德国,75%(n = 12/16)的Gemeinsamer Bundesausschuss (G-BA)和44%(n = 34/78)的Institut für Qualität und Wirtschaftlichkeit im Gesundheitswesen, (IQWiG) TAs讨论MID的情况最为频繁。MID 主要应用于 EQ-VAS(n = 50),最常用的阈值为 > 7 分或 > 10 分(n = 13)。G-BA和IQWiG经常批评MID分析,尤其是EQ-VAS的MID阈值来源,因为它们被认为不适合评估MID的有效性:结论:EQ-5D 的 MID 在德国以外的国家并不经常被讨论,这似乎并没有对这些 HTA 机构的决策产生负面影响。虽然德国技术评估机构经常对EQ-VAS数据应用MID阈值,但由于担心其有效性,在效益评估中经常拒绝分析。公司应在统计分析计划中预先指定对连续性数据的分析,以便在德国进行治疗效益评估时予以考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A scoping review of the use of minimally important difference of EQ-5D utility index and EQ-VAS scores in health technology assessment.

Objectives: Estimates of minimally important differences (MID) can assist interpretation of data collected using patient-reported outcomes (PRO), but variability exists in the emphasis placed on MIDs in health technology assessment (HTA) guidelines. This study aimed to identify to what extent information on the MID of a commonly used PRO, the EQ-5D, is required and utilised by selected HTA agencies.

Methods: Technology appraisal (TA) documents from HTA agencies in England, France, Germany, and the US between 2019 and 2021 were reviewed to identify documents which discussed MID of EQ-5D data as a clinical outcome assessment (COA) endpoint.

Results: Of 151 TAs utilising EQ-5D as a COA endpoint, 58 (38%) discussed MID of EQ-5D data. Discussion of MID was most frequent in Germany, in 75% (n = 12/16) of Gemeinsamer Bundesausschuss (G-BA) and 44% (n = 34/78) of Institut für Qualität und Wirtschaftlichkeit im Gesundheitswesen, (IQWiG) TAs. MID was predominantly applied to the EQ-VAS (n = 50), most frequently using a threshold of > 7 or > 10 points (n = 13). G-BA and IQWiG frequently criticised MID analyses, particularly the sources of MID thresholds for the EQ-VAS, as they were perceived as being unsuitable for assessing the validity of MID.

Conclusion: MID of the EQ-5D was not frequently discussed outside of Germany, and this did not appear to negatively impact decision-making of these HTA agencies. While MID thresholds were often applied to EQ-VAS data in German TAs, analyses were frequently rejected in benefit assessments due to concerns with their validity. Companies should pre-specify analyses of continuous data in statistical analysis plans to be considered for treatment benefit assessment in Germany.

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CiteScore
7.20
自引率
4.30%
发文量
567
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