Chen-Wei Pan1, Hong-Peng Sun1, Hui-Jun Zhou2, Qinghua Ma3, Yong Xu1, Nan Luo4, Pei Wang4. 1. Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, School of Public Health, Medical College of Soochow University, Suzhou, China (C-WP, H-PS, YX) 2. National Health Group, Singapore (H-JZ) 3. The 3rd People's Hospital of Xiangcheng District, Suzhou, China (QM) 4. Saw Swee Hock School of Public Health, National University of Singapore, Singapore (NL, PW)
Abstract
OBJECTIVE: To determine health-state utility (HSU) values for type 2 diabetes (T2D) patients with various clinical conditions in China, and to examine how these conditions are correlated with HSU values. METHODS: A consecutive sample of T2D patients was recruited from a tertiary hospital in Suzhou, China. HSU values of T2D patients were measured using the EQ-5D-5L, a new version of the EQ-5D. T2D patients' clinical data were collected from the survey and the clinical examination; sociodemographic data were obtained from the survey. Ordinary least square (OLS) models were employed to estimate the impact of clinical conditions on HSU values controlling for sociodemographic conditions. Nonparametric biased-corrected and accelerated (BCA) bootstrap was used to calculate the 95% confidence intervals (CIs). RESULTS: A total of 289 T2D patients provided data. The mean HSU value of the sample was 0.876 (standard deviation: 0.14), with a median of 0.895 (range: -0.063 to 1). Using the OLS model and BCA bootstrap, the impact of significant conditions on HSU values and 95% CIs are as follows: neuropathy (-0.057, [-0.093, -0.017]), heart disease (-0.074, [-0.122, -0.018]), cerebrovascular disease (-0.160, [-0.287, -0.030]), and increasing diabetes duration (-0.004, [-0.007, -0.001]). CONCLUSION: The HSU values estimated can be used to assess the cost-effectiveness of health care interventions for T2D patients in China.
OBJECTIVE: To determine health-state utility (HSU) values for type 2 diabetes (T2D) patients with various clinical conditions in China, and to examine how these conditions are correlated with HSU values. METHODS: A consecutive sample of T2D patients was recruited from a tertiary hospital in Suzhou, China. HSU values of T2D patients were measured using the EQ-5D-5L, a new version of the EQ-5D. T2D patients' clinical data were collected from the survey and the clinical examination; sociodemographic data were obtained from the survey. Ordinary least square (OLS) models were employed to estimate the impact of clinical conditions on HSU values controlling for sociodemographic conditions. Nonparametric biased-corrected and accelerated (BCA) bootstrap was used to calculate the 95% confidence intervals (CIs). RESULTS: A total of 289 T2D patients provided data. The mean HSU value of the sample was 0.876 (standard deviation: 0.14), with a median of 0.895 (range: -0.063 to 1). Using the OLS model and BCA bootstrap, the impact of significant conditions on HSU values and 95% CIs are as follows: neuropathy (-0.057, [-0.093, -0.017]), heart disease (-0.074, [-0.122, -0.018]), cerebrovascular disease (-0.160, [-0.287, -0.030]), and increasing diabetes duration (-0.004, [-0.007, -0.001]). CONCLUSION: The HSU values estimated can be used to assess the cost-effectiveness of health care interventions for T2D patients in China.
Authors: J M Wang; Q P Liu; M L Zhang; C Gong; S D Liu; W Y Chen; P Shen; H B Lin; P Gao; X Tang Journal: Beijing Da Xue Xue Bao Yi Xue Ban Date: 2022-06-18