| Yhteenveto: | <h4>Background</h4> <p>The EQ-5D instrument is the most widely used preference-based health-related quality of life questionnaire in cost-effectiveness analysis of health care technologies. Recently, a version called EQ-5D-5L with 5 levels on each dimension was developed. This manuscript explores the performance of a hybrid approach for the modelling of EQ-5D-5L valuation data.</p> <h4>Methods</h4> <p>Two elicitation techniques, the composite time trade-off (C-TTO), and discrete choice (DC) experiments, were applied to a sample of the Spanish population (n = 1,000) using a computer-based questionnaire. The sampling process consisted of two stages: stratified sampling of geographic area, followed by systematic sampling in each area. A hybrid regression model combining C-TTO and DC data was used to estimate the potential value sets using main effects as starting point. The comparison between the models was performed using the criteria of logical consistency, goodness of fit and parsimony.</p> <h4>Results</h4> <p>27 participants from the 1,000 were removed following the exclusion criteria. The best-fitted model included two significant interaction terms but resulted in marginal improvements in model fit compared to the main effects model. We therefore selected the model results with main effects as a potential value set for this methodological study, based on the parsimony criteria. The results showed that the main effects hybrid model was consistent, with a range of utility values between 1 and -0.224.</p> <h4>Conclusions</h4> <p>This paper shows the feasibility of using a hybrid approach to estimate a value set for EQ-5D-5L valuation data.</p>
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