At a glance
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Assessment of a Decision Support Tool in Participants With Type 1 Diabetes
In Brief
A clinical study evaluating DailyDose Decision Support for Type 1 Diabetes. Completed, enrolled 25 participants across 1 site.
Detailed Summary
Type 1 diabetes (T1D) is a complex disease with a high risk of both hyper- and hypoglycemia which can lead to severe acute and chronic complications. The burden and complexity of managing T1D results in the majority of people not reaching adequate glycemic control. Our team has developed a smartphone based application, DailyDose, that combines continuous glucose monitoring data and insulin data to provide decision support for subjects with type 1 diabetes taking multiple daily injections (MDI). DailyDose provides on-demand, real-time dosing recommendations for insulin doses prior to meals and to correct hyperglycemia. DailyDose analyzes glucose patterns and provides weekly recommendations to the patient on insulin settings including carbohydrate ratios and correction factors. As needed, DailyDose will make weekly recommendations to change basal insulin. For subject safety, study investigators will set constraints on settings for short and long acting insulin during the onboarding process. DailyDose will not be able to recommend insulin dose changes above or below the set safety thresholds. DailyDose also provides recommendations on carbohydrate intake for exercise and includes hypoglycemia and hyperglycemia alarms.
Study Details
Timeline
Interventions
DailyDose provides on-demand, real-time dosing recommendations for insulin meal boluses and basal insulin doses as well as the option to receive recommendations for meals and exercise. DailyDose is an information system comprised of (1) a smart phone app that both collects continuous glucose measurement (CGM) data, insulin data, and fitness data and presents suggestions back to the user, (2) a cloud based information system that stores the raw data and relays suggestions to the user, (3) a glucoregulatory model, automatically personalized for each user, that resides on a cloud server and is fit with the user's individual glucose data, and (4) an adaptive agent that provides insulin dosing options and suggestions as well as meal and exercise recommendations to the user based on the subject's own outcomes and simulations done on the glucoregulatory model.