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Carbohydrate Counting App Using Image Recognition for Youth With Type 1 Diabetes: Pilot Randomized Control Trial
Jeffrey E Alfonsi1,2, Elizabeth E Y Choi2, Taha Arshad3
1Department of Medicine, Schulich School of Medicine & Dentistry, Western University, London, ON, Canada.
JMIR Mhealth and Uhealth
|October 28, 2020
Summary
The iSpy mobile app improved carbohydrate counting accuracy and lowered HbA1c levels in youth with type 1 diabetes. This digital health tool shows promise for enhancing diabetes management and patient engagement.
Area of Science:
- Digital health interventions
- Mobile health applications
- Type 1 diabetes management
Background:
- Carbohydrate counting is crucial for diabetes management but often inaccurate and challenging.
- Youth with type 1 diabetes face specific barriers in accurate carbohydrate counting.
- Novel technological solutions are needed to support effective diabetes self-management.
Purpose of the Study:
- To evaluate the usability and impact of the iSpy mobile application on carbohydrate counting accuracy.
- To assess the potential of iSpy in improving diabetes management for young individuals.
- To determine the app's acceptability and engagement levels among users.
Main Methods:
- Iterative usability testing with 16 adolescents (8.5-17.0 years) with type 1 diabetes.
- Pilot randomized controlled trial involving 44 participants (10-17 years) comparing iSpy users to usual care.
- Assessment of primary outcome (carbohydrate counting ability) and secondary outcomes (engagement, acceptability, HbA1c).
Main Results:
- iSpy use was linked to significantly improved carbohydrate counting accuracy (P=.008) and reduced counting errors.
- Participants using iSpy showed lower HbA1c levels (P=.03) compared to controls.
- The app demonstrated high acceptability, positive user feedback, and sustained engagement in 43% of users.
Conclusions:
- The iSpy app is effective and highly acceptable for improving carbohydrate counting in youth with type 1 diabetes.
- Digital health tools like iSpy can advance diabetes care and support self-management in young populations.
- iSpy shows potential as a valuable adjunct to traditional diabetes management strategies.
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