AIM: To evaluate the clinical benefits and cost-effectiveness of the sensor-augmented pump compared with self-monitoring of plasma glucose plus continuous subcutaneous insulin infusion in people with Type 1 diabetes. METHODS: The CORE Diabetes Model was used to simulate disease progression in a cohort of people with baseline characteristics taken from a published meta-analysis. Direct and indirect costs for 2010-2011 were calculated from a societal payer perspective, with cost-effectiveness calculated over the patient's lifetime. Discount rates of 3% per annum were applied to the costs and the clinical outcomes. RESULTS: Use of the sensor-augmented pump was associated with an increase in mean discounted, quality-adjusted life expectancy of 0.76 quality-adjusted life years compared with continuous subcutaneous insulin infusion (13.05 ± 0.12 quality-adjusted life years vs 12.29 ± 0.12 quality-adjusted life years, respectively). Undiscounted life expectancy increased by 1.03 years for the sensor-augmented pump compared with continuous subcutaneous insulin infusion. In addition, the onset of complications was delayed (by a mean of 1.15 years) with use of the sensor-augmented pump. This analysis resulted in an incremental cost-effectiveness ratio of 367,571 SEK per quality-adjusted life year gained with the sensor-augmented pump. The additional treatment costs related to the use of the sensor-augmented pump were partially offset by the savings attributable to the reduction in diabetes-related complications and the lower frequency of self-monitoring of plasma glucose. CONCLUSIONS: Analysis using the CORE Diabetes Model showed that improvements in glycaemic control associated with sensor-augmented pump use led to a reduced incidence of diabetes-related complications and a longer life expectancy. Use of the sensor-augmented pump was associated with an incremental cost-effectiveness ratio of 367,571 SEK per quality-adjusted life year gained, which is likely to represent good value for money in the treatment of Type 1 diabetes in Sweden.
AIM: To evaluate the clinical benefits and cost-effectiveness of the sensor-augmented pump compared with self-monitoring of plasma glucose plus continuous subcutaneous insulin infusion in people with Type 1 diabetes. METHODS: The CORE Diabetes Model was used to simulate disease progression in a cohort of people with baseline characteristics taken from a published meta-analysis. Direct and indirect costs for 2010-2011 were calculated from a societal payer perspective, with cost-effectiveness calculated over the patient's lifetime. Discount rates of 3% per annum were applied to the costs and the clinical outcomes. RESULTS: Use of the sensor-augmented pump was associated with an increase in mean discounted, quality-adjusted life expectancy of 0.76 quality-adjusted life years compared with continuous subcutaneous insulin infusion (13.05 ± 0.12 quality-adjusted life years vs 12.29 ± 0.12 quality-adjusted life years, respectively). Undiscounted life expectancy increased by 1.03 years for the sensor-augmented pump compared with continuous subcutaneous insulin infusion. In addition, the onset of complications was delayed (by a mean of 1.15 years) with use of the sensor-augmented pump. This analysis resulted in an incremental cost-effectiveness ratio of 367,571 SEK per quality-adjusted life year gained with the sensor-augmented pump. The additional treatment costs related to the use of the sensor-augmented pump were partially offset by the savings attributable to the reduction in diabetes-related complications and the lower frequency of self-monitoring of plasma glucose. CONCLUSIONS: Analysis using the CORE Diabetes Model showed that improvements in glycaemic control associated with sensor-augmented pump use led to a reduced incidence of diabetes-related complications and a longer life expectancy. Use of the sensor-augmented pump was associated with an incremental cost-effectiveness ratio of 367,571 SEK per quality-adjusted life year gained, which is likely to represent good value for money in the treatment of Type 1 diabetes in Sweden.
Authors: Wen Wan; M Reza Skandari; Alexa Minc; Aviva G Nathan; Parmida Zarei; Aaron N Winn; Michael O'Grady; Elbert S Huang Journal: Med Decis Making Date: 2018-11 Impact factor: 2.583