Cost-effectiveness Analysis of a Flash Glucose Monitoring System for Patients with Type 1 Diabetes Receiving Intensive Insulin Treatment in Sweden
Author:
Affiliation:
1. IQVIA, San Francisco CA, US
2. Abbott Diabetes Care, Alameda, CA, US
3. IQVIA, Plymouth Meeting, PA, US
4. IQVIA, Fairfax, VA, US
5. IQVIA Corporate Village, Zaventem, Belgium
Abstract
Flash glucose monitoring – an alternative to traditional self-monitoring of blood glucose (SMBG) – prevents hypoglycaemic events without impacting glycated haemoglobin (HbA1c).21Given the potential benefits, this study assessed the cost-effectiveness of using flash monitoring versus SMBG alone in patients with type 1 diabetes (T1D) receiving intensive insulin treatment in Sweden.Methods:This study used the IQVIA CORE Diabetes Model (IQVIA CDM, v9.0) to simulate the impact of flash monitoring versus SMBG over 50 years from the Swedish societal perspective. Trial data informed cohort data, intervention effects, and resource utilisation; literature and Tandvårds-Läkemedelförmånsverket (TLV) sources informed utilities and costs. Scenario analyses explored the effect of key base case assumptions.Results:In base case analysis, direct medical costs for flash monitor use were SEK1,222,333 versus SEK989,051 for SMBG use. Flash monitoring led to 0.80 additional quality-adjusted life years (QALYs; 13.26 versus 12.46 SMBG) for an incremental cost effectiveness ratio (ICER) of SEK291,130/QALY. ICERs for all scenarios remained under SEK400,000/QALY.Conclusion:Hypoglycaemia and health utility benefits due to flash glucose monitoring may translate into economic value compared to SMBG. With robust results across scenario analyses, flash monitoring may be considered cost-effective in a Swedish population of T1D intensive insulin users.
Publisher
Touch Medical Media, Ltd.
Subject
Endocrine and Autonomic Systems,Endocrinology,Endocrinology, Diabetes and Metabolism
Reference60 articles.
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4. Maahs DM, West NA, Lawrence JM, Mayer-Davis EJ. Epidemiology of type 1 diabetes.Endocrinol Metab Clin NorthAm. 2010;39:481–97.
5. Gilmer TP, O’Connor PJ, Rush WA, et al. Predictors of health care costs in adults with diabetes.Diabetes Care. 2005;28:59–64.
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