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预测英国、法国和德国的 PROMIS-29 概况与 EQ-5D-5L 的换算关系。

Predicting EQ-5D-5L crosswalk from the PROMIS-29 profile for the United Kingdom, France, and Germany.

机构信息

Department of Psychosomatic Medicine, Center for Internal Medicine and Dermatology, Charité - Universitätsmedizin Berlin, Charitéplatz 1, 10117, Berlin, Germany.

Department of Symptom Research, MD Anderson Cancer Center, University of Houston, Houston, TX, USA.

出版信息

Health Qual Life Outcomes. 2020 Dec 17;18(1):389. doi: 10.1186/s12955-020-01629-0.

DOI:10.1186/s12955-020-01629-0
PMID:33334351
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7745375/
Abstract

BACKGROUND

EQ-5D health state utilities (HSU) are commonly used in health economics to compute quality-adjusted life years (QALYs). The EQ-5D, which is country-specific, can be derived directly or by mapping from self-reported health-related quality of life (HRQoL) scales such as the PROMIS-29 profile. The PROMIS-29 from the Patient Reported Outcome Measures Information System is a comprehensive assessment of self-reported health with excellent psychometric properties. We sought to find optimal models predicting the EQ-5D-5L crosswalk from the PROMIS-29 in the United Kingdom, France, and Germany and compared the prediction performances with that of a US model.

METHODS

We collected EQ-5D-5L and PROMIS-29 profiles and three samples representative of the general populations in the UK (n = 1509), France (n = 1501), and Germany (n = 1502). We used stepwise regression with backward selection to find the best models to predict the EQ-5D-5L crosswalk from all seven PROMIS-29 domains. We investigated the agreement between the observed and predicted EQ-5D-5L crosswalk in all three countries using various indices for the prediction performance, including Bland-Altman plots to examine the performance along the HSU continuum.

RESULTS

The EQ-5D-5L crosswalk was best predicted in France (nRMSE = 0.075, nMAE = 0.052), followed by the UK (nRMSE = 0.076, nMAE = 0.053) and Germany (nRMSE = 0.079, nMAE = 0.051). The Bland-Altman plots show that the inclusion of higher-order effects reduced the overprediction of low HSU scores.

CONCLUSIONS

Our models provide a valid method to predict the EQ-5D-5L crosswalk from the PROMIS-29 for the UK, France, and Germany.

摘要

背景

EQ-5D 健康状态效用(HSU)常用于健康经济学计算质量调整生命年(QALY)。EQ-5D 是特定于国家的,可以通过直接导出或通过映射来自自我报告的健康相关生活质量(HRQoL)量表(如 PROMIS-29 概况)来获得。PROMIS-29 来自患者报告的结果测量信息系统,是自我报告健康的综合评估,具有出色的心理测量特性。我们试图找到最佳模型来预测英国、法国和德国的 PROMIS-29 与 EQ-5D-5L 之间的转换,并将预测性能与美国模型进行比较。

方法

我们收集了 EQ-5D-5L 和 PROMIS-29 概况以及英国(n=1509)、法国(n=1501)和德国(n=1502)三个具有代表性的普通人群样本。我们使用逐步回归和向后选择来找到预测 EQ-5D-5L 转换的最佳模型,从所有七个 PROMIS-29 领域。我们使用各种预测性能指标,包括 Bland-Altman 图来检查 HSU 连续体上的性能,研究了所有三个国家观察到的和预测的 EQ-5D-5L 转换之间的一致性。

结果

法国的 EQ-5D-5L 转换预测最佳(nRMSE=0.075,nMAE=0.052),其次是英国(nRMSE=0.076,nMAE=0.053)和德国(nRMSE=0.079,nMAE=0.051)。Bland-Altman 图表明,纳入高阶效应可减少低 HSU 得分的过度预测。

结论

我们的模型为英国、法国和德国提供了一种从 PROMIS-29 预测 EQ-5D-5L 转换的有效方法。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f6c/7745375/79774983ad14/12955_2020_1629_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f6c/7745375/8a7aa03f68df/12955_2020_1629_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f6c/7745375/4e5b8ba8c652/12955_2020_1629_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f6c/7745375/79774983ad14/12955_2020_1629_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f6c/7745375/8a7aa03f68df/12955_2020_1629_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f6c/7745375/4e5b8ba8c652/12955_2020_1629_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4f6c/7745375/79774983ad14/12955_2020_1629_Fig3_HTML.jpg

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