| Title | Estimating an EQ-5D-5L Value Set for China |
| Authors | Luo, Nan Liu, Gordon Li, Minghui Guan, Haijing Jin, Xuejing Rand-Hendriksen, Kim |
| Affiliation | Natl Univ Singapore, Saw Swee Hock Sch Publ Hlth, Singapore, Singapore. Peking Univ, China Ctr Hlth Econ Res, Beijing, Peoples R China. Peking Univ, Natl Sch Dev, 5 Yiheyuan Rd, Beijing 100871, Peoples R China. Univ South Carolina, Dept Clin Pharm & Outcomes Sci, Columbia, SC USA. McMaster Univ, Dept Clin Epidemiol & Biostat, Hamilton, ON, Canada. Akershus Univ Hosp, Hlth Serv Res Ctr, Lorenskog, Norway. Univ Oslo, Dept Hlth Management & Hlth Econ, Oslo, Norway. |
| Keywords | HEALTH STATES VALUATION MODEL |
| Issue Date | 2017 |
| Publisher | VALUE IN HEALTH |
| Citation | VALUE IN HEALTH.2017,20(4),662-669. |
| Abstract | Objectives: To estimate a five-level EuroQol five-dimensional questionnaire (EQ-5D-5L) value set for China using the health preferences of residents living in the urban areas of the country. Methods: The values of a subset of the EQ-5D-5L-defined health states (n = 86) were elicited using the time trade-off (TTO) technique from a sample of urban residents (n = 1271) recruited from five Chinese cities. In computer-assisted personal interviews, participants each completed 10 TTO tasks. Two additive and two multiplicative regression models were evaluated for their performance in describing the relationship between TTO values and health state characteristics using a cross validation approach. Final values were generated using the best performed model and a rescaling method. Results: The 8- and 9-parameter multiplicative models unanimously outperformed the 20-parameter additive model using a random or fixed intercept in predicting values for out-of-sample health states in the cross-validation analysis and their coefficients were estimated with lower standard errors. The prediction accuracies of the two multiplicative models measured by the mean absolute error and the intraclass correlation coefficient were very similar, thus favoring the more parsimonious model. Conclusions: The 8-parameter multiplicative model performed the best in the study and therefore was used to generate the EQ-5D-5L value set for China. We recommend using rescaled values whereby 1 represents the value of instrument defined full health in economic evaluation of health technologies in China whenever the EQ-5D-5L data are available. Copyright (C) 2017, International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. |
| URI | http://hdl.handle.net/20.500.11897/469266 |
| ISSN | 1098-3015 |
| DOI | 10.1016/j.jval.2016.11.016 |
| Indexed | SCI(E) SSCI |
| Appears in Collections: | 国家发展研究院 |
