Translating the EORTC CAT core and the QLQ-C30 to the EQ-5D-5L in patients with metastatic breast cancer: A comparison of direct and indirect mapping algorithms.

IF 3 3区 医学 Q1 ECONOMICS
Pimrapat Gebert, Anna Maria Hage, Felix Fischer, Christoph Paul Klapproth, Ulrike Grittner, Maria Margarete Karsten
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引用次数: 0

Abstract

Background: To enable the use of different non-preference-based patient-reported outcome measures to derive utility values for health economic evaluations in oncological trials, this study developed direct and indirect mapping algorithms for estimating the EQ-5D-5L utility index via the German value set from the EORTC CAT Core and the QLQ-C30 in metastatic breast cancer patients.

Methods: We included 1,839 observations from 878 patients with metastatic breast cancer from the PRO B study. We compared direct mapping algorithms, including adjusted limited dependent variable mixture models (ALDVMM), Tobit regression, ordinal least squares regression, and adjusted beta regression, while indirect mapping employed a generalized ordered logit model. Visualization was used to assess model performance across the entire distribution, while quantitative evaluation was performed using mean absolute error (MAE), root mean squared error (RMSE), and mean prediction bias.

Results: Among the direct algorithms, adjusted beta regression demonstrated the best performance. It had the lowest MAE of 0.07-0.08 and RMSE of 0.11-0.13, a mean prediction bias of -0.004, close to zero. The indirect mapping model also performed well, with a mean prediction bias of 0.04 and MAE of 0.07, showing performance comparable to the preferred direct mapping algorithm for both the EORTC CAT Core and the QLQ-C30.

Conclusions: This study developed and validated robust direct and indirect algorithms for estimating the EQ-5D-5L utility index from the EORTC CAT Core and the QLQ-C30 based on the German tariff. In particular, using this indirect mapping algorithm, the EORTC CAT Core and QLQ-C30 can be translated into quality-adjusted life-years, facilitating health economic evaluations across different country tariffs.

Trial registration: DRKS (German Clinical Trials Register) DRKS00024015. Registered on 15 February 2021, https//drks.de/search/de/trial/DRKS00024015.

转移性乳腺癌患者EORTC CAT核心和QLQ-C30转化为EQ-5D-5L:直接和间接定位算法的比较
背景:为了能够使用不同的非基于偏好的患者报告的结果测量来获得肿瘤试验中健康经济评估的效用值,本研究开发了直接和间接映射算法,通过EORTC CAT Core的德国值集和转移性乳腺癌患者的QLQ-C30来估计EQ-5D-5L效用指数。方法:我们纳入了来自PRO B研究的878例转移性乳腺癌患者的1839例观察结果。我们比较了直接映射算法,包括调整有限因变量混合模型(ALDVMM)、Tobit回归、有序最小二乘回归和调整beta回归,而间接映射采用广义有序logit模型。可视化用于评估整个分布的模型性能,同时使用平均绝对误差(MAE)、均方根误差(RMSE)和平均预测偏差进行定量评估。结果:在直接算法中,调整后的beta回归算法表现最好。其最低MAE为0.07-0.08,RMSE为0.11-0.13,平均预测偏差为-0.004,接近于零。间接映射模型也表现良好,平均预测偏差为0.04,MAE为0.07,其性能与EORTC CAT Core和QLQ-C30的首选直接映射算法相当。结论:本研究开发并验证了基于德国关税的EORTC CAT Core和QLQ-C30估算EQ-5D-5L效用指数的稳健的直接和间接算法。特别是,使用这种间接映射算法,EORTC CAT Core和QLQ-C30可以转化为质量调整生命年,促进不同国家关税的卫生经济评估。试验注册:DRKS(德国临床试验注册)DRKS00024015。注册于2021年2月15日,https//drks.de/search/de/trial/DRKS00024015
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来源期刊
CiteScore
6.10
自引率
2.30%
发文量
131
期刊介绍: The European Journal of Health Economics is a journal of Health Economics and associated disciplines. The growing demand for health economics and the introduction of new guidelines in various European countries were the motivation to generate a highly scientific and at the same time practice oriented journal considering the requirements of various health care systems in Europe. The international scientific board of opinion leaders guarantees high-quality, peer-reviewed publications as well as articles for pragmatic approaches in the field of health economics. We intend to cover all aspects of health economics: • Basics of health economic approaches and methods • Pharmacoeconomics • Health Care Systems • Pricing and Reimbursement Systems • Quality-of-Life-Studies The editors reserve the right to reject manuscripts that do not comply with the above-mentioned requirements. The author will be held responsible for false statements or for failure to fulfill the above-mentioned requirements. Officially cited as: Eur J Health Econ
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