THE COMPARISON AMONG DIFFERENT COUNTRIES’ EQ-5D-5L VALUE SETS APPLIED IN CHINESE GENERAL POPULATION
Author(s)
Zhou T1, Yao Y2, Ma A1
1China Pharmaceutical University, Nanjing, China, 2National School of Development, Peking University, Beijing, China
Presentation Documents
OBJECTIVES: EQ-5D-5L value sets have been estimated in several countries: China, Korea and Canada etc. The value sets can be used to generate utility in both general population and disease population. The object of this work is to study the difference of health utilities calculated by China and six other countries' EQ-5D-5L value sets (Dutch, Spain, England, Uruguay, Korea and Canada) which are applied in Chinese general population, and to explore the cross-cultural adaptation of different EQ-5D-5L value sets. METHODS: In this study, the difference of health utilities among 7 countries’ EQ-5D-5L value sets applied in Chinese general population were analyzed. RESULTS: Among the 371 participants who were face-to-face interviewed in Nanjing, China, 241 have completed the EQ-5D-5L questionnaires. The mean health utility calculated by China value set is the second highest (0.963), while the highest and lowest is Uruguay (0.983) and Korea (0.935), respectively. In terms of the difference in mean utility regarding sex and samples with or without chronic diseases, conclusions are consistent. The variation of utility is biggest in Dutch (0.505~1), while Uruguay is the smallest one (0.800~1). When it comes to China (0.647~1), it just has a larger utility range than Dutch and Canada (0.620~1). CONCLUSIONS: The estimation of EQ-5D-5L value sets are based on local people’s health preference and affected by culture, social environment, as well as economic development. China value set of EQ-5D-5L is available now, it’s more appropriate to apply it in Chinese general population.
Conference/Value in Health Info
2017-11, ISPOR Europe 2017, Glasgow, Scotland
Value in Health, Vol. 20, No. 9 (October 2017)
Code
PHP186
Topic
Patient-Centered Research
Topic Subcategory
Health State Utilities, Patient-reported Outcomes & Quality of Life Outcomes
Disease
Multiple Diseases