Seyringer Simone, Pilz Micha Johannes, Jansen Femke, Büttner Matthias, King Madeleine T, Norman Richard, Kemmler Georg, Nerich Virginie, Holzner Bernhard, Bottomley Andrew, Gamper Eva M
Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria; Department of Social Psychology, Personnel Development and Adult Education, Johannes Kepler University Linz, Austria.
Department of Psychiatry, Psychotherapy and Psychosomatic Medicine, University Hospital of Psychiatry II, Medical University of Innsbruck, Innsbruck, Austria.
Eur J Cancer. 2025 Feb 25;217:115235. doi: 10.1016/j.ejca.2025.115235. Epub 2025 Jan 13.
The European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Utility - Core 10 Dimensions (QLU-C10D) adds a preference-based scoring algorithm to the EORTC measurement portfolio. It is built on the most widely used health-related quality of life (HRQoL) measure in oncology, the EORTC Quality of Life Questionnaire - Core 30 (QLQ-C30), allowing for the calculation of both HRQoL profiles and health utilities. This is an important advancement for integrating cancer-specific values into health economic evaluations and decision making, offering greater content validity and statistical power than some generic measures. This article presents an outline of the EORTC QLU-C10D User Manual to inform health-technology bodies, academic researchers, and industry, on the why and how of using this instrument for utility measurement. It covers basic concepts, proper use of the tool, including administration and scoring. Further, we summarise the presently published valuation studies, country-specific value sets, and body of evidence about psychometric properties. Current methodological questions are discussed, including mapping between utility measures and adaptions of generic measures for use in cancer populations. Taking into account empirical studies on psychometric properties, like content and construct validity, and comparisons with generic measures, we argue that the QLU-C10D is a reliable and valid instrument for cancer populations. Without imposing additional patient and administrative burden it has the potential to support health economic decisions in cancer by providing high-quality cancer-specific utility scores, to complement the more detailed HRQoL information from the QLQ-C30.
欧洲癌症研究与治疗组织（EORTC）生活质量效用 - 核心10维度（QLU - C10D）在EORTC测量体系中增加了一种基于偏好的评分算法。它建立在肿瘤学中使用最广泛的健康相关生活质量（HRQoL）测量工具——EORTC生活质量问卷 - 核心30（QLQ - C30）的基础上，能够计算HRQoL概况和健康效用。这是将癌症特异性价值观纳入健康经济评估和决策过程的一项重要进展，与一些通用测量方法相比，具有更高的内容效度和统计效力。本文概述了EORTC QLU - C10D用户手册，旨在向卫生技术机构、学术研究人员和行业人士介绍使用该工具进行效用测量的原因及方法。它涵盖了基本概念、工具的正确使用方法，包括管理和评分。此外，我们总结了目前已发表的估值研究、特定国家的价值集以及关于心理测量特性的证据。文中讨论了当前的方法学问题，包括效用测量之间的映射以及通用测量方法针对癌症人群的适应性调整。考虑到关于心理测量特性的实证研究，如内容效度和结构效度，以及与通用测量方法的比较，我们认为QLU - C10D是一种适用于癌症人群的可靠且有效的工具。它无需给患者和管理工作增加额外负担，有潜力通过提供高质量的癌症特异性效用得分来支持癌症方面的健康经济决策，以补充来自QLQ - C30的更详细的HRQoL信息。
