General Population Time Trade-off Values for 42 EQ-5D Health States in South Korea.

Min Woo Jo; Sang Il Lee

doi:10.3961/jpmph.2007.40.2.169

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English Abstract General Population Time Trade-off Values for 42 EQ-5D Health States in South Korea.: Min Woo Jo, Sang Il Lee; Journal of Preventive Medicine and Public Health 2007;40(2):169-176
DOI: https://doi.org/10.3961/jpmph.2007.40.2.169

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¹Department of Preventive Medicine, College of Medicine, Dongguk University, Korea.
²Department of Preventive Medicine, University of Ulsan College of Medicine, Korea. sleemd@amc.seoul.kr

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Abstract

OBJECTIVES
This study was conducted to elicit quality weights for 42 EQ-5D health states with the time trade-off (TTO) method from the general population of South Korea. METHODS: We selected the same EQ-5D health states as those in the UK MVH study. The Korean version of EQ-5D questionnaire and TTO method were used for the valuation process. We interviewed 500 people as a representative sample of the general population in Seoul and Gyeonggido. The result was compared with those from UK, Japan, and USA by Spearman's rank correlation and t-test. RESULTS: TTO values for 42 EQ-5D health states and 'unconscious' state were obtained from the general South Korean population. The best one was '11112' state and the worst one was 'unconscious' state. The states worse than death were '33323', '33333', and 'unconscious' states, which had negative TTO values. There was a strong correlation between TTO values of the EQ-5D health states and those of their corresponding states from UK, Japan, and USA (Spearman's correlation coefficient: 0.885, 0.882, and 0.944, respectively, p <0.001). However, absolute TTO values of most EQ-5D health states were significantly different from those of their corresponding states in other foreign studies (UK: 41/42, USA: 32/42, Japan: 15/17). CONCLUSIONS: We found that the Korean general population TTO values for EQ-5D health states were different from those of other foreign studies, suggesting that a specific Korean valuation set should be developed and used for economic evaluation studies in South Korea.

Keywords: Quality of life;Quality adjusted life years;Health status

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