The Clinical and Economic Impact of the V-Go(®) Disposable Insulin Delivery Device for Insulin Delivery in Patients with Poorly Controlled Diabetes at High Risk

V-Go®一次性胰岛素输注装置在血糖控制不佳的高危糖尿病患者胰岛素输注中的临床和经济影响

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Abstract

BACKGROUND: Diabetes is a chronic condition and when poorly controlled can lead to complications and death. Patients with glycated hemoglobin (A1C) measures >9 % are at significant risk for diabetes-related complications impacting the patient's quality of life and imposing higher costs on the healthcare system. A1C reductions of 1 % or greater in this population have demonstrated substantial health and economic benefits. Reducing the percent of patients at risk is an essential component of quality-care measures established for patients with diabetes. OBJECTIVE: To evaluate if switching patients prescribed subcutaneous insulin injections to V-Go for insulin delivery would impact clinical and economic parameters in patients with poorly controlled diabetes (A1C > 9 %). METHODS: The study was a retrospective analysis using data extracted from the electronic medical records database of a multicenter diabetes system. Outcome measures included mean change in A1C from baseline, the percent of patients achieving a reduction in A1C ≥1 % while on V-Go therapy, and the impact to quality measures. In addition, economic analyses were conducted to assess the pharmacy budget impact and projected implication to total healthcare cost. RESULTS: Ninety-seven patients were evaluated after a mean duration of 13.6 ± 6.9 weeks of insulin delivery with V-Go. Switching to V-Go resulted in an overall mean change (95 % CI) in A1C of -2.0 % (-1.7 to -2.3; p < 0.001) from a baseline of 10.5 %. Seventy-three percent of patients achieved an A1C reduction ≥1 %. Cost analysis supported a direct pharmacy savings of $119.30 (18.80-219.60, p = 0.020) per patient per month compared with baseline. CONCLUSION: Switching to V-Go for insulin delivery resulted in significant glycemic improvement and proved cost effective. This real-world assessment could be applied more broadly at the health system and plan level.

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