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New Study Reveals Decision Support System Improves HbA1c in Type 1 Diabetes Patients

Strategic Insights

— 1 min read

A team of researchers from McGill University has published a study on the effectiveness of a decision support system (DSS) in improving glycemic control in adults with type 1 diabetes. According to the study, the DSS, which consists of a mobile application and a titration algorithm, provides weekly basal and prandial insulin recommendations, leading to a significant reduction in mean HbA1c levels. The study, which involved 84 adults with type 1 diabetes, found that the DSS reduced mean HbA1c from 8.6% to 8.1%, while the control group reduced mean HbA1c from 8.6% to 8.5%. The treatment effect of the DSS was -0.40% (95% CI: -0.75 to -0.051; p = 0.025).

Key Takeaways:

  • The decision support system (DSS) improved HbA1c levels in adults with type 1 diabetes, reducing mean HbA1c from 8.6% to 8.1%.
  • The DSS consisted of a mobile application and a titration algorithm that provided weekly basal and prandial insulin recommendations.
  • The study involved 84 adults with type 1 diabetes and suboptimal glycemic control (HbA1c 7.5%).
  • The primary endpoint was change in HbA1c from baseline, and secondary endpoints included additional glycemic and insulin-related metrics.
  • The DSS reduced the risk of severe hypoglycemia or diabetic ketoacidosis events.
  • The study concluded that the DSS improves HbA1c in this population without compromising safety.
  • The research was led by Anas El Fathi and Alessandra Kobayati with additional authors including Natasha Garfield, Laurent Legault, Adnan Jafar, Jean-Francois Yale, Michael A. Tsoukas, and Ahmad Haidar.

Statistics:

  • Mean HbA1c levels in the DSS group reduced from 8.6% to 8.1% (p = 0.0002).
  • Mean HbA1c levels in the control group reduced from 8.6% to 8.5% (p = 0.22).
  • Treatment effect of the DSS was -0.40% (95% CI: -0.75 to -0.051; p = 0.025).
  • Study duration was 12 weeks.
  • Sample size was 84 adults with type 1 diabetes.

Sources:

  • A Bayesian decision support system for automated insulin doses in adults with type 1 diabetes on multiple daily injections: a randomized controlled trial. Nature Communications, 2025;16(1):8593.
  • ClinicalTrials.gov: NCT04123054.

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