• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

澳大利亚 EORTC QLU-C10D 效用量表,这是一种多属性效用工具,源自癌症特异性生存质量问卷 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.

机构信息

University of Sydney, Faculty of Science, School of Psychology, Psycho-Oncology Co-operative Research Group, Quality of Life Office, Chris O'Brien Lifehouse (C39Z), Sydney, NSW, 2006, Australia.

University of Sydney, Faculty of Medicine, Sydney Medical School, Sydney, NSW, Australia.

出版信息

Pharmacoeconomics. 2018 Feb;36(2):225-238. doi: 10.1007/s40273-017-0582-5.

DOI:10.1007/s40273-017-0582-5
PMID:29270835
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5805814/
Abstract

BACKGROUND

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.

OBJECTIVE

The aim of this study was to provide Australian utility weights for the QLU-C10D.

METHODS

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.

RESULTS

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.

CONCLUSIONS

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.

摘要

背景

EORTC QLU-C10D 是一种新的多属性效用工具,源自广泛使用的癌症特异性生活质量(QOL)问卷 EORTC QLQ-C30。QLU-C10D 包含十个维度(身体、角色、社交和情绪功能;疼痛、疲劳、睡眠、食欲、恶心、肠道问题),每个维度有四个级别。为了在成本效用分析中使用,需要有特定国家的估值集。

目的

本研究旨在为 QLU-C10D 提供澳大利亚效用权重。

方法

澳大利亚在线小组采用配额抽样,以确保按性别和年龄(≥18 岁)进行人口代表性抽样。参与者完成了由 16 对选择组成的离散选择实验(DCE)。每对包括两个 QLU-C10D 健康状况加预期寿命。使用条件逻辑回归分析数据,参数化以适应质量调整生命年框架。效用权重计算为每个 QOL 维度级别的系数与预期寿命系数的比值。

结果

共有 1979 名小组参与者选择参与,1904 名(96%)参与者至少完成了一对选择,1846 名(93%)参与者完成了所有 16 对选择。维度权重通常是单调的:每个维度中的较差水平通常与更大的效用下降相关。对选择影响最大的维度依次为身体功能、疼痛、角色功能和情绪功能。具有中度影响的肿瘤学相关维度为恶心和肠道问题。疲劳、睡眠困难和食欲的影响相对较小。最差健康状况的价值为-0.096,略逊于死亡。

结论

本研究为 QLU-C10D 提供了首个特定国家的价值集,当应用于前瞻性和回顾性收集的 EORTC QLQ-C30 数据进行成本效用分析时,可以提供便利。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37f8/5805814/1537f78f279f/40273_2017_582_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37f8/5805814/d549f4cd40f4/40273_2017_582_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37f8/5805814/b79423a613e1/40273_2017_582_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37f8/5805814/557fc8d7d299/40273_2017_582_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37f8/5805814/1537f78f279f/40273_2017_582_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37f8/5805814/d549f4cd40f4/40273_2017_582_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37f8/5805814/b79423a613e1/40273_2017_582_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37f8/5805814/557fc8d7d299/40273_2017_582_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/37f8/5805814/1537f78f279f/40273_2017_582_Fig4_HTML.jpg

相似文献

1
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.澳大利亚 EORTC QLU-C10D 效用量表,这是一种多属性效用工具,源自癌症特异性生存质量问卷 EORTC QLQ-C30。
Pharmacoeconomics. 2018 Feb;36(2):225-238. doi: 10.1007/s40273-017-0582-5.
2
Japanese value set for the EORTC QLU-C10D: A multi-attribute utility instrument based on the EORTC QLQ-C30 cancer-specific quality-of-life questionnaire.欧洲癌症研究与治疗组织核心生活质量问卷C10D的日本价值集:一种基于欧洲癌症研究与治疗组织QLQ-C30癌症特异性生活质量问卷的多属性效用工具。
Qual Life Res. 2024 Jul;33(7):1865-1879. doi: 10.1007/s11136-024-03655-7. Epub 2024 May 9.
3
United States Utility Algorithm for the EORTC QLU-C10D, a Multiattribute Utility Instrument Based on a Cancer-Specific Quality-of-Life Instrument.美国 EORTC QLU-C10D 效用算法,一种基于癌症特异性生活质量工具的多属性效用工具。
Med Decis Making. 2021 May;41(4):485-501. doi: 10.1177/0272989X211003569. Epub 2021 Apr 5.
4
U.K. utility weights for the EORTC QLU-C10D.英国针对欧洲癌症研究与治疗组织生活质量核心问卷-10维度的效用权重。
Health Econ. 2019 Dec;28(12):1385-1401. doi: 10.1002/hec.3950. Epub 2019 Sep 3.
5
German value sets for the EORTC QLU-C10D, a cancer-specific utility instrument based on the EORTC QLQ-C30.德国 EORTC QLU-C10D 价值体系,这是一种基于 EORTC QLQ-C30 的癌症特异性效用工具。
Qual Life Res. 2019 Dec;28(12):3197-3211. doi: 10.1007/s11136-019-02283-w. Epub 2019 Sep 4.
6
The EORTC QLU-C10D: the Hong Kong valuation study.EORTC QLU-C10D:香港评估研究。
Eur J Health Econ. 2024 Jul;25(5):889-901. doi: 10.1007/s10198-023-01632-4. Epub 2023 Sep 28.
7
French Value-Set of the QLU-C10D, a Cancer-Specific Utility Measure Derived from the QLQ-C30.法国 QLU-C10D 价值观量表,一种源自 QLQ-C30 的癌症特异性效用测量工具。
Appl Health Econ Health Policy. 2021 Mar;19(2):191-202. doi: 10.1007/s40258-020-00598-1.
8
Dutch utility weights for the EORTC cancer-specific utility instrument: the Dutch EORTC QLU-C10D.荷兰效用量表在 EORTC 癌症特异性效用工具中的应用:荷兰 EORTC QLU-C10D。
Qual Life Res. 2021 Jul;30(7):2009-2019. doi: 10.1007/s11136-021-02767-8. Epub 2021 Jan 29.
9
Danish value sets for the EORTC QLU-C10D utility instrument.丹麦 EORTC QLU-C10D 效用量表值。
Qual Life Res. 2024 Mar;33(3):831-841. doi: 10.1007/s11136-023-03569-w. Epub 2024 Jan 6.
10
The EORTC QLU-C10D: The Canadian Valuation Study and Algorithm to Derive Cancer-Specific Utilities From the EORTC QLQ-C30.欧洲癌症研究与治疗组织生活质量问卷核心模块10项(EORTC QLU-C10D):加拿大评估研究及从欧洲癌症研究与治疗组织核心问卷30项(EORTC QLQ-C30)推导特定癌症效用值的算法
MDM Policy Pract. 2019 Apr 13;4(1):2381468319842532. doi: 10.1177/2381468319842532. eCollection 2019 Jan-Jun.

引用本文的文献

1
Comparing EQ-5D-5L and SF-6Dv2 utilities with QLU-C10D utilities in hematologic cancer patients.比较血液系统癌症患者中EQ-5D-5L和SF-6Dv2效用值与QLU-C10D效用值。
Eur J Health Econ. 2025 Aug 8. doi: 10.1007/s10198-025-01815-1.
2
The Evolving Landscape of Discrete Choice Experiments in Health Economics: A Systematic Review.健康经济学中离散选择实验的发展态势:一项系统综述
Pharmacoeconomics. 2025 May 21. doi: 10.1007/s40273-025-01495-y.
3
Validation of the cancer-specific utility measure EORTC QLU-C10D using evidence from four lung cancer trials covering six country value sets.

本文引用的文献

1
The Role of Condition-Specific Preference-Based Measures in Health Technology Assessment.条件特异性偏好测量在卫生技术评估中的作用。
Pharmacoeconomics. 2017 Dec;35(Suppl 1):33-41. doi: 10.1007/s40273-017-0546-9.
2
Order of Presentation of Dimensions Does Not Systematically Bias Utility Weights from a Discrete Choice Experiment.维度呈现顺序不会系统性地使离散选择实验中的效用权重产生偏差。
Value Health. 2016 Dec;19(8):1033-1038. doi: 10.1016/j.jval.2016.07.003. Epub 2016 Sep 21.
3
Is Dimension Order Important when Valuing Health States Using Discrete Choice Experiments Including Duration?
利用来自四项涵盖六个国家价值集的肺癌试验的证据,对癌症特异性效用测量指标EORTC QLU-C10D进行验证。
Sci Rep. 2025 Apr 28;15(1):14907. doi: 10.1038/s41598-024-83861-y.
4
Validation of the Cancer-Specific Preference-Based Measure EORTC QLU-C10D against the Generic Instruments EQ-5D-5L and SF-6Dv2 in a Prospectively Collected Sample of Patients with Cancer in Austria and France.在奥地利和法国前瞻性收集的癌症患者样本中,基于癌症特异性偏好的测量指标EORTC QLU-C10D相对于通用工具EQ-5D-5L和SF-6Dv2的验证。
Pharmacoeconomics. 2025 Apr 27. doi: 10.1007/s40273-025-01501-3.
5
A framework for extending the health-related quality adjusted life year by combining instruments.一种通过整合工具来扩展与健康相关的质量调整生命年的框架。
Health Qual Life Outcomes. 2025 Mar 24;23(1):25. doi: 10.1186/s12955-025-02352-4.
6
Rehabilitation after bone marrow transplant compared with usual care to improve patient outcomes (REBOOT): protocol for a randomised controlled trial.骨髓移植后康复与常规护理比较以改善患者结局(REBOOT):一项随机对照试验的方案
BMC Cancer. 2025 Mar 24;25(1):532. doi: 10.1186/s12885-025-13898-3.
7
Solving unknown primary cancer with earlier diagnosis - the SUPER-ED trial: study protocol for a stepped-wedge cluster randomised controlled trial to support earlier diagnosis for people presenting with malignancy of undefined primary origin.通过早期诊断解决原发性不明癌症——SUPER-ED试验:一项阶梯式楔形整群随机对照试验的研究方案,以支持对原发性来源不明的恶性肿瘤患者进行早期诊断。
BMC Cancer. 2025 Jan 29;25(1):171. doi: 10.1186/s12885-025-13506-4.
8
Valuation survey for SF-6Dv2 in Japan based on the international protocol.基于国际协议的日本SF-6Dv2估值调查。
Qual Life Res. 2025 Feb;34(2):445-455. doi: 10.1007/s11136-024-03830-w. Epub 2024 Nov 27.
9
Developing a utility value set for the Gambling Quality of Life Scale-Brief (GQoLS-Brief) using a discrete choice experiment.使用离散选择实验为简明赌博生活质量量表(GQoLS-Brief)制定效用价值集。
Qual Life Res. 2025 Feb;34(2):457-469. doi: 10.1007/s11136-024-03835-5. Epub 2024 Nov 26.
10
Cancer-specific utility: clinical validation of the EORTC QLU-C10D in patients with glioblastoma.癌症特异性效用:欧洲癌症研究与治疗组织生活质量核心问卷-脑肿瘤10项简表(EORTC QLU-C10D)在胶质母细胞瘤患者中的临床验证
Eur J Health Econ. 2024 Nov 20. doi: 10.1007/s10198-024-01729-4.
在使用包含持续时间的离散选择实验评估健康状态时,维度顺序重要吗?
Pharmacoeconomics. 2017 Apr;35(4):439-451. doi: 10.1007/s40273-016-0475-z.
4
A Systematic Review of the Literature on the Development of Condition-Specific Preference-Based Measures of Health.关于特定健康状况基于偏好的测量方法发展的文献系统综述。
Appl Health Econ Health Policy. 2016 Apr;14(2):161-83. doi: 10.1007/s40258-015-0219-9.
5
QLU-C10D: a health state classification system for a multi-attribute utility measure based on the EORTC QLQ-C30.QLU-C10D:一种基于欧洲癌症研究与治疗组织核心生活质量问卷(EORTC QLQ-C30)的多属性效用测量健康状态分类系统。
Qual Life Res. 2016 Mar;25(3):625-36. doi: 10.1007/s11136-015-1217-y. Epub 2016 Jan 20.
6
Deriving a Preference-Based Measure for Myelofibrosis from the EORTC QLQ-C30 and the MF-SAF.基于欧洲癌症研究与治疗组织核心生活质量问卷(EORTC QLQ-C30)和骨髓纤维化症状评估量表(MF-SAF)得出骨髓纤维化的偏好性测量指标。
Value Health. 2015 Sep;18(6):846-55. doi: 10.1016/j.jval.2015.07.004. Epub 2015 Aug 24.
7
Using a discrete choice experiment to value the QLU-C10D: feasibility and sensitivity to presentation format.使用离散选择实验评估QLU-C10D:可行性及对呈现形式的敏感性
Qual Life Res. 2016 Mar;25(3):637-49. doi: 10.1007/s11136-015-1115-3. Epub 2015 Sep 5.
8
Testing a discrete choice experiment including duration to value health states for large descriptive systems: addressing design and sampling issues.测试一个包含对大型描述性系统的健康状态的价值评估时间的离散选择实验:解决设计和抽样问题。
Soc Sci Med. 2014 Aug;114(100):38-48. doi: 10.1016/j.socscimed.2014.05.026. Epub 2014 May 20.
9
Mapping utilities from cancer-specific health-related quality of life instruments: a review of the literature.癌症特异性健康相关生活质量工具的映射效用:文献综述
Expert Rev Pharmacoecon Outcomes Res. 2013 Dec;13(6):753-65. doi: 10.1586/14737167.2013.850420.
10
Valuing SF-6D Health States Using a Discrete Choice Experiment.使用离散选择实验评估SF-6D健康状态
Med Decis Making. 2014 Aug;34(6):773-86. doi: 10.1177/0272989X13503499. Epub 2013 Sep 11.