Automatic nutrition assessment based on continuous glucose and insulin data for improvement of carbs counting and investigation of glycemia episodes

Lead Investigator: Alexander Tolmach, MakeSense Digital Health Ltd.
Title of Proposal Research: Automatic nutrition assessment based on continuous glucose and insulin data for improvement of carbs counting and investigation of glycemia episodes
Vivli Data Request: 9076
Funding Source: MakeSense Digital Health Ltd.
Potential Conflicts of Interest: None

Summary of the Proposed Research:

Nutritional self-monitoring and carb counting is considered the cornerstone of any nutritional therapy. It heightens self-awareness, which affects behavior through continuous feedback about the patient’s diet. However, self-monitoring with the tools available today fail to deliver this valuable effect. Whether in the form of a pen and paper food diary, or a food logging mobile app, the effectiveness of these tools depends on the user’s ability to document their eating accurately, consistently and faithfully. Unfortunately, even the most motivated users lack the required skills and discipline, for this tedious and daunting task, hence food logs are inaccurate, and adherence deteriorates over time. Furthermore, as a result, professionals in obesity and diabetes care lack reliable, continuous and objective information about the patient’s nutrition, essential for a personally adjusted treatment. Clearly, an accurate and automatic solution for achieving the valuable benefits of nutritional monitoring is needed.

Furthermore, people in intensive insulin therapy are required to estimate the exact carb amount of every meal they consume and this estimation is an essential part of successful insulin therapy. Providing patients with feedback and coaching on the accuracy of carbs estimation and information on correct carb amounts can help users improve glycemic control and make device adoption faster, easier, and will require less visits to the care giver. Moreover, accurate and objective carb intake information is very helpful for the care givers, to examine patient’s success with insulin therapy and make better treatment decisions.

Requested Studies:

Type 1 Diabetes EXercise Initiative: The Effect of Exercise on Glycemic Control in Type 1 Diabetes Study
Data Contributor: Jaeb Center for Health Research Foundation, Inc.
Study ID: T1-DEXI
Sponsor ID: T1-DEXI

Type 1 Diabetes EXercise Initiative Pediatric Study (T1DexiP): The Effect of Exercise on Glycemic Control in Youth with Type 1 Diabetes
Data Contributor: Jaeb Center for Health Research Foundation, Inc.
Study ID: T1-DEXIP
Sponsor ID: T1-DEXIP