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An EQ-5D-5L Value Set for Belgium

[journal article]

Bouckaert, Nicolas
Cleemput, Irina
Devriese, Stephan
Gerkens, Sophie

Abstract

Objective: This study aimed to establish a Belgian EQ-5D-5L value set based on the preferences of the adult Belgian general population. Methods: The most recent EuroQol Valuation Technology (EQ-VT 2.1) protocol for EQ-5D-5L valuation studies was followed. Computer-assisted personal interviews were c... view more

Objective: This study aimed to establish a Belgian EQ-5D-5L value set based on the preferences of the adult Belgian general population. Methods: The most recent EuroQol Valuation Technology (EQ-VT 2.1) protocol for EQ-5D-5L valuation studies was followed. Computer-assisted personal interviews were carried out in a representative sample of the adult Belgian population. Potential respondents were randomly selected from the National Register using a multistage, stratified, cluster sampling with unequal probability design. Each respondent valued 10 or 11 health states using composite time trade-off (cTTO) and 14 health states in seven paired choice tasks using a discrete choice experiment (DCE). Different model specifications were explored and assessed based on logical consistency, goodness of fit, predictive accuracy and theoretical considerations. Results: A total of 892 respondents were included in the analyses. The sample was representative of the Belgian adult population in terms of age, sex, region of residence, educational attainment, labour market status, self-assessed health status and health-related quality of life (HRQoL). The preferred model specification was a hybrid (DCE and cTTO data combined) multiplicative eight-coefficient model with intercept random effects and correction for heteroskedasticity. Values range from - 0.532 to 1. Loss of HRQoL is highest in the dimension pain/discomfort, closely followed by anxiety/depression. Conclusions: This study developed a Belgian EQ-5D-5L value set, based on the preferences of the Belgian adult general population. It provides opportunities for future clinical and economic evaluations in healthcare, for the measurement of patient-reported outcomes and for population health assessments.... view less

Keywords
Belgium; adult; health status; quality of life; health care delivery system

Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

Free Keywords
EU-SILC

Document language
English

Publication Year
2022

Page/Pages
p. 823-836

Journal
PharmacoEconomics - Open, 6 (2022) 6

DOI
https://doi.org/10.1007/s41669-022-00353-3

ISSN
2509-4254

Status
Published Version; peer reviewed

Licence
Creative Commons - Attribution-NonCommercial 4.0


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© 2007 - 2025 Social Science Open Access Repository (SSOAR).
Based on DSpace, Copyright (c) 2002-2022, DuraSpace. All rights reserved.