title: Valuing Health-Related Quality of Life in Type 2 Diabetes Patients in China.
abstract: 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.
authors.affiliation: 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)
authors.forename: Chen-Wei
authors.initials: CW
authors.lastname: Pan
authors.affiliation: 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)
authors.forename: Hong-Peng
authors.initials: HP
authors.lastname: Sun
authors.affiliation: National Health Group, Singapore (H-JZ)
authors.forename: Hui-Jun
authors.initials: HJ
authors.lastname: Zhou
authors.affiliation: The 3rd People's Hospital of Xiangcheng District, Suzhou, China (QM)
authors.forename: Qinghua
authors.initials: Q
authors.lastname: Ma
authors.affiliation: 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)
authors.forename: Yong
authors.initials: Y
authors.lastname: Xu
authors.affiliation: Saw Swee Hock School of Public Health, National University of Singapore, Singapore (NL, PW)
authors.forename: Nan
authors.initials: N
authors.lastname: Luo
authors.affiliation: Saw Swee Hock School of Public Health, National University of Singapore, Singapore (NL, PW)
authors.forename: Pei
authors.initials: P
authors.lastname: Wang
mesh_terms: D000368:Aged; D001786:Blood Glucose; D001794:Blood Pressure; D015992:Body Mass Index; D002681:China / Q000453:epidemiology; D015897:Comorbidity; D048909:Diabetes Complications / Q000523:psychology; D003924:Diabetes Mellitus, Type 2 / Q000523:psychology*; D005260:Female; D006304:Health Status; D006801:Humans; D008297:Male; D008875:Middle Aged; D011788:Quality of Life; D012959:Socioeconomic Factors; D011795:Surveys and Questionnaires
chemical_list: D001786:Blood Glucose
keywords: China; EQ-5D; bootstrap; diabetes; health-state utility