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Diabetes Mellitus: Overview and Type I Subtype01:22

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For most patients, experiencing several weeks of polyuria, polydipsia, fatigue, and significant weight loss may indicate the presence of diabetes. Furthermore, adults displaying the phenotypic appearance of type 2 diabetes (particularly those who are obese and not initially insulin-requiring), may have islet cell autoantibodies, suggesting autoimmune-mediated β cell destruction and a diagnosis of latent autoimmune diabetes of adults (LADA). The categorization of glucose homeostasis is...
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Related Experiment Video

Updated: Apr 2, 2026

Iterative Development of an Innovative Smartphone-Based Dietary Assessment Tool: Traqq
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Designing a Carbohydrate Counting App for Young Adults With Type 1 Diabetes: Usability Testing Interview Study.

Asmaa Housni1, Aidan Shulkin2, Alexandra Katz3

  • 1School of Human Nutrition, McGill University, 21,111 Lakeshore drive, Montreal, QC, H9V 1X9, Canada, 1 514-398-7848.

Journal of Medical Internet Research
|March 31, 2026
PubMed
Summary
This summary is machine-generated.

This study developed a mobile app for type 1 diabetes (T1D) management, focusing on user-centered design for carbohydrate counting and insulin dosing. The app balances automation with user control, enhancing self-efficacy in young adults with T1D.

Keywords:
carbohydrate countingmobile appstype 1 diabetesusability testingyouth

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Area of Science:

  • Digital Health
  • Diabetes Technology
  • Human-Computer Interaction

Background:

  • Carbohydrate counting (CC) is crucial for type 1 diabetes (T1D) management but can be burdensome.
  • Existing mobile apps lack integrated photo-based carbohydrate recognition and bolus calculators.
  • A comprehensive solution is needed to simplify insulin dose adjustment for individuals with T1D.

Purpose of the Study:

  • To identify user-informed design principles for optimizing a novel mobile app.
  • To enhance support for young adults with T1D in carbohydrate counting and insulin dosing.
  • To create a user-centered self-management tool beyond a clinical application.

Main Methods:

  • Iterative usability testing with 4 rounds and 3-5 participants per round.
  • Qualitative analysis of think-aloud interviews to derive design principles.
  • Participant feedback informed app refinement between testing rounds.

Main Results:

  • A person-centered design prioritizing users' lived experiences is essential.
  • Personalization features (profiles, metrics, AI recommendations) are key.
  • Intuitive navigation, clear guidance, and culturally inclusive content improve usability and engagement.
  • Users desire centralized management, contextual integration, sharable reports, and self-efficacy tools.
  • Concerns about automation necessitate transparent data verification and user override options.

Conclusions:

  • Balancing automation with user control, personalization, and contextual understanding are critical design principles.
  • Incorporating these features can enhance engagement and app relevance for T1D self-management.
  • The app has the potential to improve self-efficacy in young adults with T1D.