Literature DB >> 32647050

Long-term Cost-Effectiveness of Dexcom G6 Real-time Continuous Glucose Monitoring Versus Self-Monitoring of Blood Glucose in Patients With Type 1 Diabetes in the U.K.

Stéphane Roze1, John Isitt2, Jayne Smith-Palmer3, Mehdi Javanbakht4, Peter Lynch2.   

Abstract

OBJECTIVE: A long-term health economic analysis was performed to establish the cost-effectiveness of real-time continuous glucose monitoring (RT-CGM) (Dexcom G6) versus self-monitoring of blood glucose (SMBG) alone in U.K.-based patients with type 1 diabetes (T1D). RESEARCH DESIGN AND METHODS: The analysis used the IQVIA CORE Diabetes Model. Clinical input data were sourced from the DIAMOND trial in adults with T1D. Simulations were performed separately in the overall population of patients with baseline HbA1c ≥7.5% (58 mmol/mol), and a secondary analysis was performed in patients with baseline HbA1c ≥8.5% (69 mmol/mol). The analysis was performed from the National Health Service health care payer perspective over a lifetime time horizon.
RESULTS: In the overall population, G6 RT-CGM was associated with a mean incremental gain in quality-adjusted life expectancy of 1.49 quality-adjusted life years (QALYs) versus SMBG (mean [SD] 11.47 [2.04] QALYs versus 9.99 [1.84] QALYs). Total mean (SD) lifetime costs were also pounds sterling (GBP) 14,234 higher with RT-CGM (GBP 102,468 [35,681] versus GBP 88,234 [39,027]) resulting in an incremental cost-effectiveness ratio of GBP 9,558 per QALY gained. Sensitivity analyses revealed that the findings were sensitive to changes in the quality-of-life benefit associated with reduced fear of hypoglycemia and avoidance of fingerstick testing as well as the HbA1c benefit associated with RT-CGM use.
CONCLUSIONS: For U.K.-based T1D patients, the G6 RT-CGM device is associated with significant improvements in clinical outcomes and, over patient lifetimes, is a cost-effective disease management option relative to SMBG on the basis of a willingness-to-pay threshold of GBP 20,000 per QALY gained.
© 2020 by the American Diabetes Association.

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Year:  2020        PMID: 32647050     DOI: 10.2337/dc19-2213

Source DB:  PubMed          Journal:  Diabetes Care        ISSN: 0149-5992            Impact factor:   19.112


  6 in total

1.  Real-Time Continuous Glucose Monitoring Benefits Glycemic Control in Adolescents and Young Adults With Type 1 Diabetes Irrespective of Insulin Delivery Modality: Subanalysis of the MILLENNIAL Study.

Authors:  Ik Hur Teoh; Joshi Prabhu; Womba Mubita; Shazli Azmi; Andrea Urwin; Ian Doughty; Lalantha Leelarathna; Hood Thabit
Journal:  J Diabetes Sci Technol       Date:  2021-10-09

2.  Personalized Digital Health Beyond the Pandemic.

Authors:  Joyce Hsu
Journal:  J Nurse Pract       Date:  2022-05-25       Impact factor: 0.826

3.  Association of Real-time Continuous Glucose Monitoring With Glycemic Control and Acute Metabolic Events Among Patients With Insulin-Treated Diabetes.

Authors:  Andrew J Karter; Melissa M Parker; Howard H Moffet; Lisa K Gilliam; Richard Dlott
Journal:  JAMA       Date:  2021-06-08       Impact factor: 56.272

4.  Racial Disparities in Diabetes Technology Use and Outcomes in Type 1 Diabetes in a Safety-Net Hospital.

Authors:  Kathryn L Fantasia; Kamonkiat Wirunsawanya; Christopher Lee; Ivania Rizo
Journal:  J Diabetes Sci Technol       Date:  2021-03-10

Review 5.  Advances, Challenges, and Cost Associated with Continuous Glucose Monitor Use in Adolescents and Young Adults with Type 1 Diabetes.

Authors:  Karishma A Datye; Daniel R Tilden; Angelee M Parmar; Eveline R Goethals; Sarah S Jaser
Journal:  Curr Diab Rep       Date:  2021-05-15       Impact factor: 4.810

6.  Population-Level Impact and Cost-effectiveness of Continuous Glucose Monitoring and Intermittently Scanned Continuous Glucose Monitoring Technologies for Adults With Type 1 Diabetes in Canada: A Modeling Study.

Authors:  Michael A Rotondi; Octavia Wong; Michael Riddell; Bruce Perkins
Journal:  Diabetes Care       Date:  2022-09-01       Impact factor: 17.152

  6 in total

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