AIMS: The purpose of this article is to compare the insulin cost-savings of the Medtronic Extended Infusion Set (or EIS, a.k.a. Extended Wear Infusion Set) designed and labeled for up to 7-day use with rapid-acting insulins to the current standard of care, 2- to 3-day infusion sets. METHODS: There are three major improvements (reducing insulin waste, plastic waste, and adverse events) with the extended duration of infusion set wear. This analysis focuses on cost savings from reduced insulin wastage during set changes. Studies published on insulin infusion set survival and EIS clinical trial data (NCT04113694) were used to estimate device lifetime performance using a Markov chain Monte Carlo model, including the assessment of adverse effects and device failure. Total costs associated with infusion set change or failure were systematically found in published literature or estimated based on physical usage, and the direct impact on insulin costs was calculated. RESULTS: Based on the model and clinical data, EIS users can expect to change their infusion sets about 75 fewer times than standard set users each year. The costs related to unrecoverable insulin during an infusion set and reservoir change in the US were estimated to range from $19.79 to $22.48, resulting in approximately $1324 to $1677 in annual cost-savings for the typical user from minimizing insulin wastage. LIMITATIONS: The study only assessed devices used within a monitored setting, that is, clinical trials. In addition, the variability associated with healthcare standards and costs and individual treatment variability including insulin dosages, contribute to the uncertainties with the calculations. CONCLUSIONS: Our analysis demonstrates that by extending the duration of infusion set wear, there may be substantial cost savings by reducing insulin wastage.
AIMS: The purpose of this article is to compare the insulin cost-savings of the Medtronic Extended Infusion Set (or EIS, a.k.a. Extended Wear Infusion Set) designed and labeled for up to 7-day use with rapid-acting insulins to the current standard of care, 2- to 3-day infusion sets. METHODS: There are three major improvements (reducing insulin waste, plastic waste, and adverse events) with the extended duration of infusion set wear. This analysis focuses on cost savings from reduced insulin wastage during set changes. Studies published on insulin infusion set survival and EIS clinical trial data (NCT04113694) were used to estimate device lifetime performance using a Markov chain Monte Carlo model, including the assessment of adverse effects and device failure. Total costs associated with infusion set change or failure were systematically found in published literature or estimated based on physical usage, and the direct impact on insulin costs was calculated. RESULTS: Based on the model and clinical data, EIS users can expect to change their infusion sets about 75 fewer times than standard set users each year. The costs related to unrecoverable insulin during an infusion set and reservoir change in the US were estimated to range from $19.79 to $22.48, resulting in approximately $1324 to $1677 in annual cost-savings for the typical user from minimizing insulin wastage. LIMITATIONS: The study only assessed devices used within a monitored setting, that is, clinical trials. In addition, the variability associated with healthcare standards and costs and individual treatment variability including insulin dosages, contribute to the uncertainties with the calculations. CONCLUSIONS: Our analysis demonstrates that by extending the duration of infusion set wear, there may be substantial cost savings by reducing insulin wastage.
Entities:
Keywords:
C; C1; C15; Diabetes; O; O3; O31; P; P4; P46; clinical; infusion set therapy; insulin; model
Authors: Kevin T Nguyen; Nicole Y Xu; Bruce A Buckingham; Sarnath Chattaraj; Ohad Cohen; Lutz Heinemann; John Pickup; Jannet Svensson; Robert A Vigersky; Jenise C Wong; Ralph Ziegler Journal: J Diabetes Sci Technol Date: 2022-02-28
Authors: Ron Brazg; Satish K Garg; Anuj Bhargava; James R Thrasher; Kashif Latif; Bruce W Bode; Timothy S Bailey; Barry S Horowitz; Arvind Cavale; Yogish C Kudva; Kevin B Kaiserman; George Grunberger; John Chip Reed; Sarnath Chattaraj; Gina Zhang; John Shin; Vivian Chen; Scott W Lee; Toni L Cordero; Andrew S Rhinehart; Robert A Vigersky; Bruce A Buckingham Journal: Diabetes Technol Ther Date: 2022-03-24 Impact factor: 7.337