Valuation of EQ-5D-5L health states: a comparison of seven Asian populations

Pei Wang; Gordon G. Liu; Min woo Jo; Frederick Dermawan Purba; Zhihao Yang; Mihir Gandhi; Juntana Pattanaphesaj; Jeonghoon Ahn; Eliza Lai yi Wong; Arsul A. Shafie; Jan J.V. Busschbach; Nan Luo

doi:10.1080/14737167.2019.1557048

Valuation of EQ-5D-5L health states: a comparison of seven Asian populations

Pei Wang, Gordon G. Liu, Min woo Jo, Frederick Dermawan Purba, Zhihao Yang, Mihir Gandhi, Juntana Pattanaphesaj, Jeonghoon Ahn, Eliza Lai yi Wong, Arsul A. Shafie, Jan J.V. Busschbach, Nan Luo

Department of Health Convergence

Research output: Contribution to journal › Article › peer-review

25 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	445-451
Number of pages	7
Journal	Expert Review of Pharmacoeconomics and Outcomes Research
Volume	19
Issue number	4
DOIs	https://doi.org/10.1080/14737167.2019.1557048
State	Published - 4 Jul 2019

Bibliographical note

Funding 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.

Funding Information:
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.

Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

Asia
EQ-5D
comparison
utility
valuation

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10.1080/14737167.2019.1557048

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title = "Valuation of EQ-5D-5L health states: a comparison of seven Asian populations",

abstract = "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.",

keywords = "Asia, EQ-5D, comparison, utility, valuation",

author = "Pei Wang and Liu, {Gordon G.} and Jo, {Min woo} and Purba, {Frederick Dermawan} and Zhihao Yang and Mihir Gandhi and Juntana Pattanaphesaj and Jeonghoon Ahn and Wong, {Eliza Lai yi} and Shafie, {Arsul A.} and Busschbach, {Jan J.V.} and Nan Luo",

note = "Funding 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. Funding Information: 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. Publisher Copyright: {\textcopyright} 2018, {\textcopyright} 2018 Informa UK Limited, trading as Taylor & Francis Group.",

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AU - Liu, Gordon G.

AU - Jo, Min woo

AU - Purba, Frederick Dermawan

AU - Yang, Zhihao

AU - Gandhi, Mihir

AU - Pattanaphesaj, Juntana

AU - Ahn, Jeonghoon

AU - Wong, Eliza Lai yi

AU - Shafie, Arsul A.

AU - Busschbach, Jan J.V.

AU - Luo, Nan

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N2 - 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.

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Valuation of EQ-5D-5L health states: a comparison of seven Asian populations

Abstract

Bibliographical note

Keywords

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