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EORTC QLU-C10D 价值集适用于奥地利、意大利和波兰。

EORTC QLU-C10D value sets for Austria, Italy, and Poland.

机构信息

Department of Psychiatry, Psychotherapy and Psychosomatics, University Hospital Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria.

School of Psychology, Psycho-Oncology Co-operative Sydney, University of Sydney, Camperdown, NSW, 2006, Australia.

出版信息

Qual Life Res. 2020 Sep;29(9):2485-2495. doi: 10.1007/s11136-020-02536-z. Epub 2020 May 26.

DOI:10.1007/s11136-020-02536-z
PMID:32458409
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7434806/
Abstract

OBJECTIVE

To develop Austrian, Italian, and Polish general population value sets for the EORTC QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30, and to descriptively compare their index scores for distinct health states.

METHODS

The QLU-C10D descriptive system comprises 10 health attributes and each can take on 4 levels. A standardised and pre-tested methodology has been applied for valuations including a web-based discrete choice experiment (DCE). It was administered in 1000 general population respondents per country recruited via online panels, aiming at representativeness for core socio-demographic variables.

RESULTS

In all three countries, the attributes with the largest impact on utility were physical functioning, pain, and role functioning. Cancer-specific dimensions with the largest impact were nausea and fatigue or bowel problems. Utility values of the worst health state (i.e. severe problems on all 10 dimension) were -0.111 (Austria), 0.025 (Italy), and 0.048 (Poland). Country-specific utilities differed for a selection of health states across the continuum. Austrian utilities were systematically lower for moderately and severely impaired health states.

CONCLUSION

QLU-C10D cancer-specific utilities can now be calculated in three more countries. Differences between countries indicate that careful consideration is required when using non-country-specific value sets in economic evaluations.

摘要

目的

开发奥地利、意大利和波兰的普通人群 EORTC QLU-C10D 效用值,该工具基于 EORTC QLQ-C30,用于评估癌症患者的效用,描述并比较其对不同健康状态的指数得分。

方法

QLU-C10D 描述系统包括 10 个健康属性,每个属性有 4 个水平。采用了标准化和预先测试的方法进行评估,包括基于网络的离散选择实验(DCE)。该实验在每个国家招募了 1000 名通过在线小组招募的普通人群参与者,旨在代表核心社会人口统计学变量。

结果

在所有三个国家,对效用影响最大的属性是身体功能、疼痛和角色功能。对效用影响最大的癌症特异性维度是恶心和疲劳或肠道问题。最糟糕健康状态(即所有 10 个维度都有严重问题)的效用值分别为 -0.111(奥地利)、0.025(意大利)和 0.048(波兰)。在整个连续体上,一些健康状态的国家特异性效用存在差异。奥地利在中度和重度受损健康状态下的效用值较低。

结论

现在可以在另外三个国家计算 QLU-C10D 癌症特异性效用。国家之间的差异表明,在经济评估中使用非国家特定的效用值时需要谨慎考虑。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b81/7434806/e32af81c4c0e/11136_2020_2536_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b81/7434806/5529ac639b46/11136_2020_2536_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b81/7434806/34276d15f72d/11136_2020_2536_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b81/7434806/d0d4d18e6869/11136_2020_2536_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b81/7434806/e32af81c4c0e/11136_2020_2536_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b81/7434806/5529ac639b46/11136_2020_2536_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b81/7434806/34276d15f72d/11136_2020_2536_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b81/7434806/d0d4d18e6869/11136_2020_2536_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2b81/7434806/e32af81c4c0e/11136_2020_2536_Fig4_HTML.jpg

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