other·endocrinology, public health, research methods·PMC10176130
Integration of the Vision of People With Diabetes Into the Development Process to Improve Self-management via Diabetes Apps: Qualitative Interview Study
JMIR Diabetes · 6 authors, 5 centres
AI SUMMARY
FIDELITY 100%
This summary was generated by AI from a single paper. It has not been reviewed by a clinician and is not clinical advice. Verify against the source before acting on it.
Participants envisioned AI-driven blood glucose predictions, smartwatch-based alerts and real-time value display, improved communication features, and comprehensive information resources to support self-management and reduce stigma.
Full summary
850 CHARS
Thematic analysis revealed that participants envisioned predictive AI-based blood glucose alerts, improvements in sensor signal loss and value delay via smartwatches, improved communication and information-sharing capabilities through chat and forum options, reliable information sources, and discreet smartwatch alerts. Participants also noted that current apps lack personalized information and fail to indicate when displayed values are delayed. Limitations include that only one stakeholder group's vision was assessed, interviews were used instead of focus groups due to COVID-19 restrictions, and systems such as insulin pumps and automated insulin delivery were not considered. The authors describe this vision assessment as a first step toward creating a shared vision among all relevant stakeholders to guide future diabetes app development.