Si, L and Shi, L and Chen, M and Palmer, AJ, Establishing benchmark EQ-5D-3L population health state utilities and identifying their correlates in Gansu Province, China, Quality of Life Research, 26, (11) pp. 3049-3058. ISSN 0962-9343 (2017) [Refereed Article]
copyright 2017 Springer International Publishing AG
Methods: Quality-of-life was evaluated using the validated EQ-5D-3L questionnaire. HSUs were calculated using data collected from Gansu Province (n = 9833). Overall differences in HSUs were analysed using linear regression and a two-tailed p value < 0.05 was determined to be statistically significant. The minimal difference in weighted index was set at 0.074.
Results: HSUs decreased with age in both males and females. Living in the non-capital areas, being separated/divorced/widowed or never married, being never educated, diagnosed with chronic disease, and no regular physical activity were associated with lower HSUs. HSUs for women were lower than for men in univariate regression analysis; however, no differences were found after adjusting for other covariates. In addition, the difference in HSU reached the level of minimal difference in weighted index for participants with chronic disease. HSUs for those who were diagnosed with chronic disease were 0.098 (0.092-0.104) lower than those without chronic disease.
Conclusions: This study reports HSUs for a Chinese population in Gansu and investigates the key correlates of HSUs in this population. In addition, the use of EQ-5D-3L in assessing population health is limited given the high ceiling effect and skewed HSUs.
|Item Type:||Refereed Article|
|Keywords:||Chinese, EQ-5D, health state utility, quality of life|
|Research Group:||Applied Economics|
|Research Field:||Health Economics|
|Objective Group:||Public Health (excl. Specific Population Health)|
|Objective Field:||Health Status (e.g. Indicators of Well-Being)|
|Author:||Si, L (Mr Lei Si)|
|Author:||Palmer, AJ (Professor Andrew Palmer)|
|Web of Science® Times Cited:||3|
|Deposited By:||Menzies Institute for Medical Research|
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