![]() Type 1 diabetes is among the most common chronic diseases of childhood, and its incidence is rising. Further testing is needed, but iSpy may be a useful adjunct to traditional diabetes management. Moreover, 43% (9/21) of iSpy participants were still engaged, with usage at least once every 2 weeks, at the end of the study.Ĭonclusions: Our results provide evidence of efficacy and high acceptability of a novel carbohydrate counting app, supporting the advancement of digital health apps for diabetes care among youth with type 1 diabetes. No major technical challenges were identified. Qualitative interviews and acceptability scale scores were positive. Results: Use of iSpy was associated with improved carbohydrate counting accuracy (total grams per meal, P=.008), reduced frequency of individual counting errors greater than 10 g ( P=.047), and lower HbA 1c levels ( P=.03). Change in HbA 1c level was also assessed. Secondary outcomes included levels of engagement and acceptability. Primary outcome was change in carbohydrate counting ability over 3 months. Subsequently, iSpy was evaluated in a pilot randomized controlled trial with 22 iSpy users and 22 usual care controls aged 10-17 years. Errors were noted, acceptability was assessed, and refinement and retesting were performed across cycles. Participants were provided a mobile device and asked to complete tasks using iSpy app features while thinking aloud. Methods: Iterative usability testing (3 cycles) was conducted involving a total of 16 individuals aged 8.5-17.0 years with type 1 diabetes. Objective: Our objective was to test the app's usability and potential impact on carbohydrate counting accuracy. ![]() iSpy is a novel mobile app that leverages machine learning to allow food identification through images and that was designed to assist youth with type 1 diabetes in counting carbohydrates. Asian/Pacific Island Nursing Journal 10 articlesĮmail: Carbohydrate counting is an important component of diabetes management, but it is challenging, often performed inaccurately, and can be a barrier to optimal diabetes management.JMIR Bioinformatics and Biotechnology 32 articles.JMIR Biomedical Engineering 68 articles.Journal of Participatory Medicine 78 articles. ![]()
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