• 1 a School of Public Health, Fudan University, Shanghai, China
  • 2 c National School of Development, Peking University, Beijing, China
  • 3 d Department of Preventive Medicine, University of Ulsan College of Medicine, Seoul, Korea
  • 4 e Medical Psychology, Erasmus MC, Rotterdam, Netherlands
  • 5 g Biostatistics, Singapore Clinical Research Institute, Singapore, Singapore
  • 6 j Health Intervention and Technology Assessment Program (HITAP), Bangkok, Thailand
  • 7 k Department of Health Convergence, Ewha Womans University, Seoul, Korea
  • 8 l JC School of Public Health & Primary Care, The Chinese University of Hong Kong, Hong Kong SAR, China
  • 9 m Discipline of Social & Administrative Pharmacy, Universiti Sains Malaysia, Penang, Malaysia
  • 10 n Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore
Expert Rev Pharmacoecon Outcomes Res, 2019 Aug;19(4):445-451.
PMID: 30523723 DOI: 10.1080/14737167.2019.1557048


Objectives: To compare the time trade-off (TTO) utility values of EQ-5D-5L health states elicited from different general populations in Asia. Methods: We analyzed the TTO data from seven Asian EQ-5D-5L valuation studies in which utility values of 86 EQ-5D-5L health states were elicited from general population samples. An eight-parameter multiplicative regression model including five dimension parameters (mobility [MO], self-care, usual activities [UA], pain/discomfort, anxiety/depression) and three level parameters (level 2 [L2], level 3 [L3], and level 4 [L4]) was used to model the data from each of the populations. The model coefficients were compared to understand how the valuations of EQ-5D-5L health states differ. Results: For dimension parameters, Korea and Indonesia generally had the highest and lowest values among the populations, respectively; UA and MO commonly had the highest and lowest values among the parameters, respectively. For level parameters, Singapore and Korea generally had the highest and lowest values, respectively; L2 showed less variance compared to L3 and L4. Koreans, Indonesians, and Singaporeans appeared to have different health preferences compared with other populations. Conclusion: Utility values of EQ-5D-5L health states differ among Asian populations, suggesting that each health system should establish and use its own value set.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.