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.
|Number of pages||7|
|Journal||Expert Review of Pharmacoeconomics and Outcomes Research|
|State||Published - 4 Jul 2019|
Bibliographical noteFunding Information:
This study was supported by the Health & Medical Research Fund from the Food and Health Bureau of Hong Kong, Hong Kong Special Administrative Region (HKSAR) (grant number: HMRF11120491) and EuroQol Research Foundation.
Jan Busschbach, Nan Luo and Zhihao Yang are members of the EuroQol Group. All authors received research grants from the EuroQol Research Foundation as principal or co-principal investigators. This study was supported by the Health & Medical Research Fund from the Food and Health Bureau of Hong Kong, Hong Kong Special Administrative Region (HKSAR) (grant number: HMRF11120491) and EuroQol Research Foundation.
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