Australian Utility Weights for the EORTC QLU-C10D, a Multi-Attribute Utility Instrument Derived from the Cancer-Specific Quality of Life Questionnaire, EORTC QLQ-C30.

Australian Utility Weights for the EORTC QLU-C10D, a Multi-Attribute Utility Instrument Derived from the Cancer-Specific Quality of Life Questionnaire, EORTC QLQ-C30.
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DOI:
10.1007/s40273-017-0582-5
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发表时间:
2018-03
期刊:
影响因子:
4.4
通讯作者:
MAUCa Consortium
MAUCa Consortium
中科院分区:
医学2区
文献类型:
--
作者:
King MT;Viney R;Simon Pickard A;Rowen D;Aaronson NK;Brazier JE;Cella D;Costa DSJ;Fayers PM;Kemmler G;McTaggart-Cowen H;Mercieca-Bebber R;Peacock S;Street DJ;Young TA;Norman R;MAUCa Consortium

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EORTC QLU-C10 D是一种新的多属性实用工具,源自广泛使用的癌症特异性生活质量(QOL)问卷EORTC QLQ-C30。QLU-C10 D包含十个维度(身体、角色、社会和情绪功能;疼痛、疲劳、睡眠、食欲、恶心、肠道问题),每个维度有四个级别。为了用于成本效用分析,需要有针对具体国家的成套估值。本研究旨在为QLU-C10 D提供澳大利亚实用权重。对澳大利亚在线小组进行了配额抽样,以确保按性别和年龄(≥ 18岁)划分的人群代表性。参与者完成了一个离散选择实验(DCE),由16个选择对。每对包括两个QLU-C10 D健康状态和预期寿命。数据进行了分析,使用条件logistic回归,参数化,以适应质量调整的生命年框架。效用权重计算为每个QOL维度水平系数与预期寿命系数的比值。共有1979名小组成员选择,1904(96%)完成至少一个选择对,1846(93%)完成所有16个选择对。维度权重通常是单调的:每个维度中的较低水平通常与较大的效用递减相关。对选择影响最大的维度依次为身体功能、疼痛、角色功能和情感功能。具有中度影响的肿瘤学相关维度为恶心和肠道问题。疲劳、睡眠障碍和食欲的影响相对较小。最差健康状态值为-0.096,比死亡稍差。本研究为QLU-C10 D提供了第一个国家特定值集,当应用于EORTC QLQ-C30收集的数据时,可以促进前瞻性和回顾性的成本效用分析。本文的在线版本(doi:10.1007/s40273-017-0582-5)包含补充材料,可供授权用户使用。
The EORTC QLU-C10D is a new multi-attribute utility instrument derived from the widely used cancer-specific quality-of-life (QOL) questionnaire, EORTC QLQ-C30. The QLU-C10D contains ten dimensions (Physical, Role, Social and Emotional Functioning; Pain, Fatigue, Sleep, Appetite, Nausea, Bowel Problems), each with four levels. To be used in cost-utility analysis, country-specific valuation sets are required. The aim of this study was to provide Australian utility weights for the QLU-C10D. An Australian online panel was quota-sampled to ensure population representativeness by sex and age (≥ 18 years). Participants completed a discrete choice experiment (DCE) consisting of 16 choice-pairs. Each pair comprised two QLU-C10D health states plus life expectancy. Data were analysed using conditional logistic regression, parameterised to fit the quality-adjusted life-year framework. Utility weights were calculated as the ratio of each QOL dimension-level coefficient to the coefficient on life expectancy. A total of 1979 panel members opted in, 1904 (96%) completed at least one choice-pair, and 1846 (93%) completed all 16 choice-pairs. Dimension weights were generally monotonic: poorer levels within each dimension were generally associated with greater utility decrements. The dimensions that impacted most on choice were, in order, Physical Functioning, Pain, Role Functioning and Emotional Functioning. Oncology-relevant dimensions with moderate impact were Nausea and Bowel Problems. Fatigue, Trouble Sleeping and Appetite had relatively small impact. The value of the worst health state was -0.096, somewhat worse than death. This study provides the first country-specific value set for the QLU-C10D, which can facilitate cost-utility analyses when applied to data collected with the EORTC QLQ-C30, prospectively and retrospectively. The online version of this article (doi:10.1007/s40273-017-0582-5) contains supplementary material, which is available to authorized users.
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