Health Utility Scores for People With Type 2 Diabetes in U.S. Managed Care Health Plans
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Health Utility Scores for People With Type 2 Diabetes in U.S. Managed Care Health Plans

  • Published Date:

    Jul 26 2012

  • Source:
    Diabetes Care. 2012; 35(11):2250-2256.
Filetype[PDF-127.14 KB]

  • Alternative Title:
    Diabetes Care
  • Description:
    OBJECTIVE To estimate the health utility scores associated with type 2 diabetes, its treatments, complications, and comorbidities. RESEARCH DESIGN AND METHODS We analyzed health-related quality-of-life data, collected at baseline during Translating Research Into Action for Diabetes, a multicenter, prospective, observational study of diabetes care in managed care, for 7,327 individuals with type 2 diabetes. We measured quality-of-life using the EuroQol (EQ)-5D, a standardized instrument for which 1.00 indicates perfect health. We used multivariable regression to estimate the independent impact of demographic characteristics, diabetes treatments, complications, and comorbidities on health-related quality-of-life. RESULTS The mean EQ-5D–derived health utility score for those individuals with diabetes was 0.80. The modeled utility score for a nonobese, non–insulin-treated, non-Asian, non-Hispanic man with type 2 diabetes, with an annual household income of more than $40,000, and with no diabetes complications, risk factors for cardiovascular disease, or comorbidities, was 0.92. Being a woman, being obese, smoking, and having a lower household income were associated with lower utility scores. Arranging complications from least to most severe according to the reduction in health utility scores resulted in the following order: peripheral vascular disease, other heart diseases, transient ischemic attack, cerebral vascular accident, nonpainful diabetic neuropathy, congestive heart failure, dialysis, hemiplegia, painful neuropathy, and amputation. CONCLUSIONS Major diabetes complications and comorbidities are associated with decreased health-related quality-of-life. Utility estimates from our study can be used to assess the impact of diabetes on quality-of-life and conduct cost-utility analyses.
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