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Published on in Vol 27 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/48406, first published .
Man with glucose monitor on arm checks phone for diabetes management

Examining the Emotional and Physical Health Impact in Users of Open-Source Automated Insulin Delivery and Sources of Support: Qualitative Analysis of Patient Narratives

Examining the Emotional and Physical Health Impact in Users of Open-Source Automated Insulin Delivery and Sources of Support: Qualitative Analysis of Patient Narratives

Journals

  1. Lal R, Braune K, Lewis D, Petruzelkova L, de Bock M, Hussain S. Fully closed-loop systems: can people with type 1 diabetes just do it? Insights from open-source systems. Diabetologia 2026;69(3):557 View
  2. Kubascik M, Tupy A, Formanek L, Chochul M. OpenGluco—Innovative Open-Source Diabetes Care Management System. Informatics 2026;13(7):112 View
  3. Cooper D, Ubben T, Knoll C, Blume C, Neumann W, Braune K. Sleep-AID: a cross-sectional analysis of subjective sleep quality, psychosocial measures and real-world glycemic outcomes in people with diabetes using automated insulin delivery systems. SLEEP Advances 2026;7(3) View

Books/Policy Documents

  1. Rocha-Gomes J. Societal Transitions to Sustainability. View