Juan M Ramos-Goñi1, Mark Oppe2, Anabel Estévez-Carrillo2, Oliver Rivero-Arias3. 1. Maths in Health, Rotterdam, the Netherlands; Department of Health Economics and Health Care Management, School of Public Health, Bielefeld University, Bielefeld, Germany. Electronic address: juanmanuel.ramosgoni@gmail.com. 2. Maths in Health, Rotterdam, the Netherlands. 3. Maths in Health, Rotterdam, the Netherlands; National Perinatal Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, England, UK.
Abstract
OBJECTIVES: The EuroQol Group published the EQ-5D-Y valuation protocol that recommends 2 valuation techniques to elicit preferences: composite time trade-off (C-TTO) and discrete choice experiments (DCEs). The protocol left the decision of what modeling approach to use open for researchers. Our aims were to explore modeling strategies allowing generation of EQ-5D-Y value sets and to produce an EQ-5D-Y Spanish value set. METHODS: We used EQ-5D-Y DCE and C-TTO data collected in Spain following the protocol and adopted a staged approach for our modeling exercise. First, we selected the best performing DCE latent class model and evaluated models from 2 to 10 classes. We selected the preferred model based on best goodness of fit in terms of the Bayesian information criterion. We considered 2 anchoring approaches to estimate utility values: (1) pits state anchoring and (2) hybrid models (using all available C-TTO responses). All analysis were weighted to be representative of the Spanish population. RESULTS: We collected 1005 DCE and 200 C-TTO interviews. We selected a DCE model including 4 classes. Hybrid models using all available C-TTO observations produced a narrower range of values than the pits state anchoring approach. CONCLUSIONS: In this article, we have presented an EQ-5D-Y value set that can be used for cost-utility analysis in Spain. The international EQ-5D-Y valuation protocol should be updated to include a different set of health states for the C-TTO experiment if researchers wish to use alternative anchoring approaches to the "pits state."
OBJECTIVES: The EuroQol Group published the EQ-5D-Y valuation protocol that recommends 2 valuation techniques to elicit preferences: composite time trade-off (C-TTO) and discrete choice experiments (DCEs). The protocol left the decision of what modeling approach to use open for researchers. Our aims were to explore modeling strategies allowing generation of EQ-5D-Y value sets and to produce an EQ-5D-Y Spanish value set. METHODS: We used EQ-5D-Y DCE and C-TTO data collected in Spain following the protocol and adopted a staged approach for our modeling exercise. First, we selected the best performing DCE latent class model and evaluated models from 2 to 10 classes. We selected the preferred model based on best goodness of fit in terms of the Bayesian information criterion. We considered 2 anchoring approaches to estimate utility values: (1) pits state anchoring and (2) hybrid models (using all available C-TTO responses). All analysis were weighted to be representative of the Spanish population. RESULTS: We collected 1005 DCE and 200 C-TTO interviews. We selected a DCE model including 4 classes. Hybrid models using all available C-TTO observations produced a narrower range of values than the pits state anchoring approach. CONCLUSIONS: In this article, we have presented an EQ-5D-Y value set that can be used for cost-utility analysis in Spain. The international EQ-5D-Y valuation protocol should be updated to include a different set of health states for the C-TTO experiment if researchers wish to use alternative anchoring approaches to the "pits state."
Authors: N Devlin; T Pan; S Kreimeier; J Verstraete; E Stolk; K Rand; M Herdman Journal: Health Qual Life Outcomes Date: 2022-07-06 Impact factor: 3.077
Authors: Stefan A Lipman; Brigitte A B Essers; Aureliano P Finch; Ayesha Sajjad; Peep F M Stalmeier; Bram Roudijk Journal: Pharmacoeconomics Date: 2022-10-18 Impact factor: 4.558