ISSUE: Health state utility is usually elicited using a single valuation technique such as time trade-off (TTO) or standard gamble (SG). However, evidence from a multinational research program suggest that using two different valuation techniques, i.e. TTO and discrete choice experiment (DCE), to determine utility values of the EQ-5D-5L multi-attribute instrument has a great potential. While this new approach has been successfully used to estimate the utility values of EQ-5D-5L health states in some European countries, it has not been reported in Asia where the necessary data has been collected in China, Hong Kong, Indonesia, Japan, Korea, Singapore, and Thailand. OVERVIEW: TTO is the most popular technique for valuation of health outcomes. Because of the underlying concept is complex, TTO is difficult to both interviewers and respondents and may result in poor-quality data. In contrast, DCE has proven to be easy to administer and understand although the utility values derived are from an arbitrary scale. For estimating a value set for the EQ-5D-5L instrument, a study protocol has been developed to include both TTO and DCE techniques in such a way that the value set can be estimated using TTO data alone or by combining TTO and DCE data. What is the added value of DCE data to the estimation of a value set if TTO data alone can be used? What happen when TTO and DCE show different or even contradicting results? Theoretically and technically, what is the best way to model the two types of valuation data? In this session, the panellists will review the pros and cons of the two approaches and debate whether the hybrid approach should be pursued by Asian countries. The audience will be invited to ask questions, share their views, as well as participate in the debate.