French Value-Set of the QLU-C10D, a Cancer-Specific Utility Measure Derived from the QLQ-C30.

Autor: Nerich V; Department of Pharmacy, University Hospital, Boulevard Fleming, 25030, Besancon Cedex, France. v1nerich@chu-besancon.fr.; INSERM, EFS-BFC, UMR1098, University of Franche-Comté, Besançon, France. v1nerich@chu-besancon.fr., Gamper EM; Division of Psychiatry II, Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University of Innsbruck, Innsbruck, Austria., Norman R; School of Public Health, Curtin University, Perth, WA, Australia., King M; School of Psychology, Faculty of Science, University of Sydney, Sydney, NSW, Australia.; Sydney Medical School, Faculty of Medicine, University of Sydney, Sydney, NSW, Australia., Holzner B; Division of Psychiatry II, Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University of Innsbruck, Innsbruck, Austria., Viney R; Centre for for Health Economics Research and Evaluation (CHERE), UTS Business School University of Technology Sydney (UTS), Sydney, NSW, Australia., Kemmler G; Division of Psychiatry I, Department of Psychiatry, Psychotherapy and Psychosomatics, Medical University of Innsbruck, Innsbruck, Austria.
Jazyk: angličtina
Zdroj: Applied health economics and health policy [Appl Health Econ Health Policy] 2021 Mar; Vol. 19 (2), pp. 191-202.
DOI: 10.1007/s40258-020-00598-1
Abstrakt: Background and Objective: The EORTC Quality of Life Utility Measure-Core 10 Dimensions (QLU-C10D) is a new multi-attribute utility instrument derived from the EORTC Quality of Life Questionnaire-Core 30 (QLQ-C30), a widely used cancer-specific quality-of-life questionnaire. It covers ten dimensions: physical, role functioning, social, emotional functioning, pain, fatigue, sleep, appetite, nausea and bowel problems. To allow national health preferences to be reflected, country-specific valuations are being performed through collaboration between the Multi-Attribute Utility Cancer (MAUCa) Consortium and the EORTC. The aim of this study was to determine the utility weights for health states in the French version of the QLU-C10D.
Methods: Valuations were run in a web-based setting in a general population sample of 1033 adults. Utilities were elicited using a discrete-choice experiment (DCE). Data were analyzed by conditional logistic regression and mixed logits.
Results: The sample was representative of the general French population in terms of gender and age. Dimensions with the largest impact on utility weights were, in this order: physical functioning, pain and emotional functioning. The impact on utilities was lower for role functioning, nausea, bowel problems and social functioning. The dimensions of sleep, fatigue and lacking appetite were associated with the smallest utility decrement.
Conclusion: The results of the present study provide utility weights for the QLU-C10D and offer interesting prospects, as some cancer-specific dimensions also received sizeable utility weights (nausea and bowel problems). In fact, the EQ-5D and the HUI 3 are recommended in France and commonly used for cancer-related CUA; however, both these instruments are generic. The availability of a new cancer-specific utility instrument, such as the QLU-C10D, could improve the quality and the pertinence of future CUA in oncology.
Databáze: MEDLINE
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