Real-World Evidence and Glycemic Improvement Using Dexcom G6 Features

Area of Science:

• Diabetes Technology
• Endocrinology
• Health Informatics

Background:

• Continuous glucose monitoring (CGM) systems offer optional features to enhance diabetes management.
• Understanding the utilization and impact of these features is crucial for optimizing patient care.

Purpose of the Study:

• To examine the associations between the use of optional CGM features, user demographics, and glycemic outcomes.
• To assess how different features are adopted and their impact on diabetes control.

Main Methods:

• Retrospective cohort study using data from US-based users of the G6 CGM System (Dexcom, Inc.).
• Analysis included sensor glucose values (SGVs) and utilization of alert features, remote data sharing (Share), retrospective pattern analysis (CLARITY), and a virtual assistant feature.
• Descriptive statistics were used to summarize feature adoption and correlate with glycemic outcomes like time in range (TIR).

Main Results:

• Most optional CGM features were widely adopted by users.
• Alert thresholds varied by age, with younger and older patients setting higher thresholds.
• Use of the Share feature was higher among younger patients and those with type 1 diabetes.
• Greater use of alert and notification features was associated with improved TIR.
• Engagement with CLARITY notifications and virtual assistant use correlated with higher TIR and lower mean SGV.

Conclusions:

• Optional features of the G6 CGM system are well-accepted and appear beneficial for patients.
• Demographics and personal circumstances influence how patients utilize CGM features for diabetes management.
• Personalized engagement with CGM features can lead to improved glycemic control.