Pan Chen-Wei, Sun Hong-Peng, Zhou Hui-Jun, Ma Qinghua, Xu Yong, Luo Nan, Wang Pei
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)
National Health Group, Singapore (H-JZ)
Med Decis Making. 2016 Feb;36(2):234-41. doi: 10.1177/0272989X15606903. Epub 2015 Sep 23.
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.
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).
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]).
The HSU values estimated can be used to assess the cost-effectiveness of health care interventions for T2D patients in China.
确定中国不同临床状况的2型糖尿病（T2D）患者的健康状态效用（HSU）值，并研究这些状况与HSU值之间的相关性。
从中国苏州一家三级医院连续招募T2D患者样本。使用EQ-5D的新版本EQ-5D-5L测量T2D患者的HSU值。从调查和临床检查中收集T2D患者的临床数据；从调查中获取社会人口统计学数据。采用普通最小二乘法（OLS）模型来估计临床状况对控制了社会人口统计学状况的HSU值的影响。使用非参数偏差校正和加速（BCA）自助法计算95%置信区间（CIs）。
共有289名T2D患者提供了数据。样本的平均HSU值为0.876（标准差：0.14），中位数为0.895（范围：-0.063至1）。使用OLS模型和BCA自助法，显著状况对HSU值和95% CIs的影响如下：神经病变（-0.057，[-0.093，-0.017]）、心脏病（-0.074，[-0.122，-0.018]）、脑血管疾病（-0.160，[-0.287，-0.030]）以及糖尿病病程增加（-0.004，[-0.007，-0.001]）。
所估计的HSU值可用于评估中国T2D患者医疗保健干预措施的成本效益。
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