Generating Utilities for the Château-Santé Base: A Novel, Generic, and Patient-Centered Health-Outcome Measure.
Autor: | Zhang X; Department of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands., Vermeulen KM; Department of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands., Veeger NJGM; Department of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands., Jabrayilov R; Metyis, Amsterdam, The Netherlands., Krabbe PFM; Department of Epidemiology, University Medical Center Groningen, Groningen, The Netherlands; Château Santé, Zeist, The Netherlands. Electronic address: p.f.m.krabbe@umcg.nl. |
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Jazyk: | angličtina |
Zdroj: | Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research [Value Health] 2024 Oct; Vol. 27 (10), pp. 1426-1435. Date of Electronic Publication: 2024 Jul 06. |
DOI: | 10.1016/j.jval.2024.06.013 |
Abstrakt: | Objectives: We have developed a new patient-centered, preference-based generic health-outcome measure, Château-Santé Base (CS-Base), which is based on a novel multiattribute preference response (MAPR) measurement framework. This study aimed to generate a first utility set for the CS-Base, making it suitable for use in health-economic evaluations. Methods: CS-Base comprises 12 health attributes: mobility, vision, hearing, cognition, mood, anxiety, pain, fatigue, social functioning, daily activities, self-esteem, and independence, each with 4 levels. Our methodology to generate utilities for the CS-Base was 2-fold. First, we derived coefficients from patient MAPR data to calculate CS-Base values. Subsequently, these were normalized to a 0.0 to 1.0 utility scale, in which 0.0 signifies dead. The dead position was estimated using general population data from a discrete choice experiment (discrete choice experiment + dead), using a division-value strategy, which localize the position of states better or worse than dead. Results: We analyzed MAPR data from 3222 patients and discrete choice experiment + dead data from 1995 respondents. All MAPR coefficients were negative, logically ordered, and significantly different from the reference level. The dead position was denoted by a division value of -148.385. Utility values spanned from -0.071 to 1.0, and only 53 of 16 777 216 states were deemed worse than dead. Conclusions: This study introduced the first CS-Base utility set, underlining a 2-step utility derivation method. This method, blending societal and patient views, surpasses traditional preference-based approaches, yielding firmer results. However, improvement of the normalization procedure is expected. Estimating CS-Base utilities is an ongoing process that gains precision over time. Competing Interests: Author Disclosures Author disclosure forms can be accessed below in the Supplemental Material section. (Copyright © 2024. Published by Elsevier Inc.) |
Databáze: | MEDLINE |
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