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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.
Zhang et al. (2012) studied this question.