Clinical and economic benefits of professional CGM among people with type 2 diabetes in the United States: analysis of claims and lab data

J Med Econ. 2018 Mar;21(3):225-230. doi: 10.1080/13696998.2017.1390474. Epub 2017 Oct 17.

Abstract

Background: It is estimated that one in 10 people in the US have a diagnosis of diabetes. Type 2 diabetes accounts for 95% of all cases in the US, with annual costs estimated to be $246 billion per year. This study investigated the impact of a glucose-measuring intervention to the burden of type 2 diabetes.

Objective: This analysis seeks to understand how professional continuous glucose monitoring (professional CGM) impacts clinical and economic outcomes when compared to patients who are not prescribed professional CGM.

Methods: This study utilized a large healthcare claims and lab dataset from the US, and identified a cohort of patients who were prescribed professional CGM as identified by CPT codes 95250 and 95251. It calculated economic and clinical outcomes 1 year before and 1 year after the use of professional CGM, using a generalized linear model.

Results: Patients who utilized professional CGM saw an improvement in hemoglobin A1C. The "difference-in-difference" calculation for A1C was shown to be -0.44%. There was no statistically significant difference in growth of total annual costs for people who used professional CGM compared to those who did not ($1,270, p = .08). Patients using professional CGM more than once per year had a -$3,376 difference in the growth of total costs (p = .05). Patients who used professional CGM while changing their diabetes treatment regimen also had a difference of -$3,327 in growth of total costs (p = .0023).

Conclusion: Significant clinical benefits were observed for patients who used professional CGM. Economic benefits were observed for patients who utilized professional CGM more than once within a 1-year period or who used it during a change of diabetes therapy. This suggests that professional CGM may help decrease rising trends in healthcare costs for people with type 2 diabetes, while also improving clinical outcomes.

Keywords: Claims data; health insurance; healthcare expenditures; population health; professional CGM; type 2 diabetes.

MeSH terms

  • Blood Glucose Self-Monitoring / economics*
  • Cost of Illness*
  • Current Procedural Terminology
  • Databases, Factual
  • Diabetes Mellitus, Type 2 / physiopathology*
  • Female
  • Glycated Hemoglobin / analysis
  • Health Expenditures
  • Humans
  • Insurance Claim Review*
  • Insurance, Health / economics
  • Male
  • Middle Aged
  • Outcome Assessment, Health Care*
  • Population Health
  • United States

Substances

  • Glycated Hemoglobin A
  • hemoglobin A1c protein, human