Related Experiment Video
Updated: Jun 25, 2026

Improving IV Insulin Administration in a Community Hospital
Published on: June 11, 2012
Settings Associated with Optimal Glycemic Outcomes with the Omnipod® 5 Automated Insulin Delivery System: Evidence
Alexandra Sawyer1, Emma G Wilmot2,3, Duy Do4
1Department of Pediatrics, Barbara Davis Center for Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Objective:
Identifying programmable device settings and user behaviors associated with achieving glycemic targets is critical for informing clinical practice and improving outcomes with automated insulin delivery (AID) systems. This real-world analysis aimed to identify predictors of achieving optimal glycemic outcomes for people with type 1 diabetes (T1D) using the Omnipod® 5 AID System.
Methods:
This retrospective analysis included real-world data from Omnipod 5 users aged ≥ 2 years with T1D in the United States and Europe who had sufficient continuous glucose monitor data (≥30 days with ≥1 reading; ≥75% of days with ≥220 readings) available in Insulet's device and person-reported datasets between January 1 and March 31, 2025. Logistic regression was used to identify programmable settings and user behaviors associated with achieving >70% time in range (TIR; 70-180 mg/dL [3.9-10.0 mmol/L]). Optimal thresholds for the top modifiable predictors were determined using Youden's J statistic, and their impact on glycemic outcomes was explored.
Results:
Data from 176,405 users were analyzed. Predictors of achieving >70% TIR included the following: a higher number of user-initiated boluses/day, greater time in Automated Mode, use of lower glucose targets, and a more aggressive correction factor (CF) and insulin-to-carbohydrate (I:C) ratio (all P < 0.001). Use of optimized device settings (110 mg/dL [6.1 mmol/L] target, I:C ratio ≤350/total daily insulin dose [TDD], and CF ≤1500/TDD [mg/dL] or ≤83/TDD [mmol/L]) with user behaviors that reflect expected system use (≥90% time in Automated Mode, ≥3 boluses/day), used by 7.9% and 1.4% of adult and pediatric users, respectively, resulted in a higher median TIR compared with users overall (77% vs. 66% in adult and 78% vs. 62% in pediatric users, respectively), and time spent in hypoglycemia remained low across age groups. Findings were consistent across geographic regions and prior insulin regimen.
Conclusions:
These results provide actionable guidance for clinicians to optimize outcomes for people with T1D using the Omnipod 5 System.
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