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.

JMIR diabetes(2022)

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摘要
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.
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blood glucose,blood glucose forecast,blood glucose logging,cohort,diabetes,digital health,forecast,health forecasting,mHealth,machine learning,model,monitoring,precision,precision health,retrospective,smartphone,type 2 diabetes
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