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使用美国效用值数据集,EQ-5D-5L 在健康连续谱上的测量特性优于 EQ-5D-3L。

EQ-5D-5L measurement properties are superior to EQ-5D-3L across the continuum of health using US value sets.

机构信息

Center for Observational and Real-World Evidence, Merck & Co., Rahway, NJ, 07065, USA.

The Health Services Research Unit - HØKH, Akershus University Hospital, Lørenskog, Norway.

出版信息

Health Qual Life Outcomes. 2022 Sep 9;20(1):134. doi: 10.1186/s12955-022-02031-8.

DOI:10.1186/s12955-022-02031-8
PMID:36085228
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9463847/
Abstract

OBJECTIVE

The objective of this study was to compare the measurement properties of the US EQ-5D-3L, EQ-5D-5L, and -5L to -3L crosswalk value sets (3L; 5L; 5L > 3L) across the spectrum of health.

METHODS

The three scoring approaches were compared in terms of range of scale, percent of worse-than-dead health states, and mean single-level transitions. Discriminative ability was compared by leveraging two cross-sectional datasets. A novel method was used to visualize and compare the responsiveness of 3L and 5L scoring approaches across EQ VAS values.

RESULTS

The US 5L value set had the broadest range of scale at 1.573 (vs. 1.109 for 3L and crosswalk). The crosswalk had the smallest mean single-level transition of 0.061 (vs. 0.078 for 5L and 0.111 for 3L). The 5L value set tended to be more discriminative/greater statistical efficiency than the crosswalk (F-statistic ratio: 1.111, 95% CI 0.989-1.240) and 3L (F-statistic ratio: 1.102 95% CI 0.861-1.383) across levels of general health. The 5L was the most responsive value set between EQ VAS values of 25 and 75.

CONCLUSION

These results imply greater sensitivity of the 5L to health changes and potentially lower incremental cost-utility ratios compared to the 3L.

摘要

目的

本研究旨在比较美国 EQ-5D-3L、EQ-5D-5L 和 -5L 至 -3L 交叉值集(3L;5L;5L>3L)在整个健康谱上的测量属性。

方法

从量表范围、劣于死亡健康状态的百分比和平均单级转换三个方面比较了三种评分方法。利用两个横断面数据集比较了判别能力。采用一种新的方法可视化并比较了 3L 和 5L 评分方法在 EQ VAS 值上的反应能力。

结果

美国 5L 值集的量表范围最广,为 1.573(3L 为 1.109,交叉值为 1.109)。交叉值的平均单级转换最小,为 0.061(5L 为 0.078,3L 为 0.111)。5L 值集在一般健康水平上比交叉值(F 统计量比:1.111,95%CI 0.989-1.240)和 3L(F 统计量比:1.102 95%CI 0.861-1.383)更具判别力/更高的统计效率。5L 是 EQ VAS 值在 25 到 75 之间最敏感的价值集。

结论

这些结果表明,与 3L 相比,5L 对健康变化更敏感,潜在的增量成本效益比更低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d544/9463847/b15fc5c10a18/12955_2022_2031_Fig4a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d544/9463847/5f1077728392/12955_2022_2031_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d544/9463847/c781f680ec4d/12955_2022_2031_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d544/9463847/4286d31b1f2c/12955_2022_2031_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d544/9463847/b15fc5c10a18/12955_2022_2031_Fig4a_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d544/9463847/5f1077728392/12955_2022_2031_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d544/9463847/c781f680ec4d/12955_2022_2031_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d544/9463847/4286d31b1f2c/12955_2022_2031_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d544/9463847/b15fc5c10a18/12955_2022_2031_Fig4a_HTML.jpg

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