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Effects of a Novel Blood Glucose Forecasting Feature on Glycemic Management and Logging in Adults With Type 2 Diabetes Using One Drop: Retrospective Cohort Study.

Steven D ImrisekMatthew LeeDan GoldnerHarpreet NagraLindsey M LavaysseJamillah Hoy-RosasJeff DachisLindsay E Sears
Published in: JMIR diabetes (2022)
Individuals who received blood glucose forecasts had significantly lower average glucose, with a greater amount of glucose measurements in a healthy range after 12 weeks compared to those who did not receive forecasts. Glucose logging was identified as a partial mediator of the relationship between forecast exposure and week-12 average glucose, highlighting a potential mechanism through which glucose forecasts exert their effect. When administered as a part of a comprehensive mHealth program, blood glucose forecasts may significantly improve glycemic management among people living with type 2 diabetes.
Keyphrases
  • blood glucose
  • glycemic control
  • type diabetes
  • blood pressure
  • machine learning
  • insulin resistance
  • quality improvement
  • deep learning