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

Nicolas Bouckaert (), Irina Cleemput, Stephan Devriese and Sophie Gerkens
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Nicolas Bouckaert: Belgian Health Care Knowledge Centre (KCE)
Irina Cleemput: Belgian Health Care Knowledge Centre (KCE)
Stephan Devriese: Belgian Health Care Knowledge Centre (KCE)
Sophie Gerkens: Belgian Health Care Knowledge Centre (KCE)

PharmacoEconomics - Open, 2022, vol. 6, issue 6, No 5, 823-836

Abstract: 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 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.

Date: 2022
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DOI: 10.1007/s41669-022-00353-3

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