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Accepted for/Published in: JMIR mHealth and uHealth

Date Submitted: Jul 2, 2020
Date Accepted: Sep 14, 2020

The final, peer-reviewed published version of this preprint can be found here:

Carbohydrate Counting App Using Image Recognition for Youth With Type 1 Diabetes: Pilot Randomized Control Trial

Alfonsi JE, Choi EE, Arshad T, Sammott SAS, Pais V, Nguyen C, Maguire BR, Stinson JN, Palmert MR

Carbohydrate Counting App Using Image Recognition for Youth With Type 1 Diabetes: Pilot Randomized Control Trial

JMIR Mhealth Uhealth 2020;8(10):e22074

DOI: 10.2196/22074

PMID: 33112249

PMCID: 7657721

Effect of a Carbohydrate Counting Application for Youth with Type 1 Diabetes: A Pilot Randomized Control Trial

  • Jeffrey E. Alfonsi; 
  • Elizabeth E.Y. Choi; 
  • Taha Arshad; 
  • Stacie-Ann S. Sammott; 
  • Vanita Pais; 
  • Cynthia Nguyen; 
  • Bryan R. Maguire; 
  • Jennifer N. Stinson; 
  • Mark R. Palmert

ABSTRACT

Background:

Carbohydrate counting is important, but also challenging, often performed inaccurately, and a barrier to diabetes management. iSpy is a novel mobile application designed to assist youth with type 1 diabetes (T1D) count carbohydrates.

Objective:

Our objective was to test its usability and potential impact on accuracy of carbohydrate counting.

Methods:

Three iterative cycles of usability testing were conducted involving a total of 16 individuals with T1D aged 8.5-17.0 years. Participants were provided iSpy on a mobile device and asked to complete tasks using application features while thinking aloud. Errors were noted and acceptability assessed with refinement and retesting across cycles. Next, iSpy was evaluated in a pilot randomized controlled trial (RCT) with 22 iSpy users and 22 usual care controls aged 10-17.0 years. Primary outcome was change in carbohydrate counting ability over 3 months. Secondary outcomes included levels of engagement and acceptability.

Results:

Use of iSpy was associated with improved carbohydrate counting accuracy (total grams per meal, p=0.008) and reduced frequency of individual errors ≥ 10 grams (p=0.047). Qualitative interviews and acceptability scale scores were positive. No major technical challenges were identified. Moreover, 43% of iSpy participants were still engaged, with usage at least once/two weeks, at the end of the study.

Conclusions:

Our results provide evidence of efficacy and high acceptability of a novel carbohydrate counting application, supporting the advancement of digital health applications for diabetes care among youth with T1D. Further testing is needed, but iSpy may be a useful adjunct to traditional diabetes management. Clinical Trial: ClinicalTrials.gov NCT04354142


 Citation

Please cite as:

Alfonsi JE, Choi EE, Arshad T, Sammott SAS, Pais V, Nguyen C, Maguire BR, Stinson JN, Palmert MR

Carbohydrate Counting App Using Image Recognition for Youth With Type 1 Diabetes: Pilot Randomized Control Trial

JMIR Mhealth Uhealth 2020;8(10):e22074

DOI: 10.2196/22074

PMID: 33112249

PMCID: 7657721

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