This paper is in the following e-collection/theme issue:

Peer-to-Peer Support and Online Communities (628) Registered Report (585) Diabetes Self-Management (480) Medical Devices for Insulin and Metabolic Peptide Delivery (1) Glucose Tracking and Self-Monitoring of Blood Glucose (158) Sensors for Glucose Monitoring and Diabetes Management (31) Closed Loop Systems and Artificial Pancreas (7)
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/25409, first published .
Why #WeAreNotWaiting—Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational Survey

Why #WeAreNotWaiting—Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational Survey

Why #WeAreNotWaiting—Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational Survey

Authors of this article:

Katarina Braune1, 2 Author Orcid Image ;   Katarzyna Anna Gajewska3, 4 Author Orcid Image ;   Axel Thieffry5 Author Orcid Image ;   Dana Michelle Lewis6 Author Orcid Image ;   Timothée Froment7 Author Orcid Image ;   Shane O'Donnell7 Author Orcid Image ;   Jane Speight8, 9 Author Orcid Image ;   Christel Hendrieckx8, 9 Author Orcid Image ;   Jasmine Schipp8, 10 Author Orcid Image ;   Timothy Skinner8, 10 Author Orcid Image ;   Henriette Langstrup11 Author Orcid Image ;   Adrian Tappe12 Author Orcid Image ;   Klemens Raile1 Author Orcid Image ;   Bryan Cleal13 Author Orcid Image
Article Authors Cited by (40) Tweetations (62) Metrics

Journals

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  7. Braune K, Lal R, Petruželková L, Scheiner G, Winterdijk P, Schmidt S, Raimond L, Hood K, Riddell M, Skinner T, Raile K, Hussain S. Open-source automated insulin delivery: international consensus statement and practical guidance for health-care professionals. The Lancet Diabetes & Endocrinology 2022;10(1):58 View
  8. O'Donnell S, Cooper D, Chen Y, Ballhausen H, Lewis D, Froment T, Anna Gajewska K, Tappe A, Skinner T, Cleal B, Braune K. Barriers to uptake of Open-Source automated insulin delivery Systems: Analysis of socioeconomic factors and perceived challenges of adults with type 1 diabetes from the OPEN survey. Diabetes Research and Clinical Practice 2023;197:110235 View
  9. Schipp J, Skinner T, Holloway E, Scibilia R, Langstrup H, Speight J, Hendrieckx C. ‘We’re all on the same team’. Perspectives on the future of artificial pancreas systems by adults in Australia with type 1 diabetes using open‐source technologies: A qualitative study. Diabetic Medicine 2022;39(5) View
  10. Mewes D, Wäldchen M, Knoll C, Raile K, Braune K. Variability of Glycemic Outcomes and Insulin Requirements Throughout the Menstrual Cycle: A Qualitative Study on Women With Type 1 Diabetes Using an Open-Source Automated Insulin Delivery System. Journal of Diabetes Science and Technology 2023;17(5):1304 View
  11. Knoll C, Schipp J, O'Donnell S, Wäldchen M, Ballhausen H, Cleal B, Gajewska K, Raile K, Skinner T, Braune K. Quality of life and psychological well-being among children and adolescents with diabetes and their caregivers using open-source automated insulin delivery systems: Findings from a multinational survey. Diabetes Research and Clinical Practice 2023;196:110153 View
  12. Speight J, Choudhary P, Wilmot E, Hendrieckx C, Forde H, Cheung W, Crabtree T, Millar B, Traviss‐Turner G, Hill A, Ajjan R. Impact of glycaemic technologies on quality of life and related outcomes in adults with type 1 diabetes: A narrative review. Diabetic Medicine 2023;40(1) View
  13. de Wit M, Gajewska K, Goethals E, McDarby V, Zhao X, Hapunda G, Delamater A, DiMeglio L. ISPAD Clinical Practice Consensus Guidelines 2022: Psychological care of children, adolescents and young adults with diabetes. Pediatric Diabetes 2022;23(8):1373 View
  14. Knoll C, Peacock S, Wäldchen M, Cooper D, Aulakh S, Raile K, Hussain S, Braune K. Real‐world evidence on clinical outcomes of people with type 1 diabetes using open‐source and commercial automated insulin dosing systems: A systematic review. Diabetic Medicine 2022;39(5) View
  15. Morrison A, Chong K, Senior P, Lam A, Palumbo P. A scoping review of Do-It-Yourself Automated Insulin Delivery system (DIY AID) use in people with type 1 diabetes. PLOS ONE 2022;17(8):e0271096 View
  16. Morrison A, Chong K, Lai V, Farnsworth K, Senior P, Lam A. Improved Glycemia and Quality of Life Among Loop Users: Analysis of Real-world Data From a Single Center. JMIR Diabetes 2022;7(4):e40326 View
  17. Vallis M, Holt R. User‐driven open‐source artificial pancreas systems and patient‐reported outcomes: A missed opportunity?. Diabetic Medicine 2022;39(5) View
  18. Huhndt A, Chen Y, O’Donnell S, Cooper D, Ballhausen H, Gajewska K, Froment T, Wäldchen M, Lewis D, Raile K, Skinner T, Braune K. Barriers to Uptake of Open-Source Automated Insulin Delivery Systems: Analysis of Socioeconomic Factors and Perceived Challenges of Caregivers of Children and Adolescents With Type 1 Diabetes From the OPEN Survey. Frontiers in Clinical Diabetes and Healthcare 2022;3 View
  19. Braune K, Krug N, Knoll C, Ballhausen H, Thieffry A, Chen Y, O'Donnell S, Raile K, Cleal B. Emotional and Physical Health Impact in Children and Adolescents and Their Caregivers Using Open-source Automated Insulin Delivery: Qualitative Analysis of Lived Experiences. Journal of Medical Internet Research 2022;24(7):e37120 View
  20. Crabtree T, Choudhary P, Lumb A, Hammond P, McLay A, Campbell F, Ng S, Wilmot E, Hussain S. Association of British Clinical Diabetologists, Diabetes Technology Network UK and Association of Children’s Diabetes Clinicians Survey of UK Healthcare Professional Attitudes Towards Open-Source Automated Insulin Delivery Systems. Diabetes Therapy 2022;13(2):341 View
  21. Forlenza G, Lal R. Current Status and Emerging Options for Automated Insulin Delivery Systems. Diabetes Technology & Therapeutics 2022;24(5):362 View
  22. Braune K, Knoll C, Cooper D. Open-Source-Systeme zur automatisierten Insulinabgabe. Die Diabetologie 2022;18(8):875 View
  23. Braune K, Hussain S, Lal R. The First Regulatory Clearance of an Open-Source Automated Insulin Delivery Algorithm. Journal of Diabetes Science and Technology 2023;17(5):1139 View
  24. Jansky B. Digitized Patients: Elaborative Tinkering and Knowledge Practices in the Open-source Type 1 Diabetes “Looper Community”. Science, Technology, & Human Values 2024;49(1):53 View
  25. Jansky B. Disclosing Otherness: Situated Knowledges and the Politics of Ethnographic Approaches to the #WeAreNotWaiting Movement in Type 1 Diabetes and Beyond. Journal of Contemporary Ethnography 2024;53(1):51 View
  26. Nir J, Rachmiel M, Fraser A, Lebenthal Y, Brener A, Pinhas-Hamiel O, Haim A, Stern E, Levek N, Ben-Ari T, Landau Z. Open-source automated insulin delivery systems (OS-AIDs) in a pediatric population with type 1 diabetes in a real-life setting: the AWeSoMe study group experience. Endocrine 2023;81(2):262 View
  27. Halperin I, Chambers A, Covello L, Farnsworth K, Morrison A, Schuklenk U, Witteman H, Senior P, Bajaj H, Barnes T, Gilbert J, Honshorst K, Kim J, Lewis J, MacDonald B, Mackay D, Mansell K, Rabi D, Sherifali D. Do-It-Yourself Automated Insulin Delivery: A Position Statement. Canadian Journal of Diabetes 2023;47(5):381 View
  28. Weiss R. Closed loop insulin delivery–Opportunities and limitations. Journal of Diabetes 2023;15(12):1103 View
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  32. Landau Z, Lebenthal Y, Mazor-Aronovitch K, Brener A, Levek N, Jacobi-Polishook T, Ben Ari T, Abiri S, Haim A, Nir J, Rachmiel M, Pinhas-Hamiel O. A comparison of the usage of an open-source automated insulin delivery system and the MiniMed™ 780 G system in children and adolescents with type 1 diabetes in real-world settings: the AWeSoMe study group. Endocrine 2024;84(3):943 View
  33. Schütz A, Rami-Merhar B, Schütz-Fuhrmann I, Blauensteiner N, Baumann P, Pöttler T, Mader J. Retrospective Comparison of Commercially Available Automated Insulin Delivery With Open-Source Automated Insulin Delivery Systems in Type 1 Diabetes. Journal of Diabetes Science and Technology 2024 View
  34. Cherubini V, Faragalli A, Arnaldi C, Bassi M, Bonfanti R, Patrizia Bracciolini G, Cardella F, Dal Bo S, Delvecchio M, Di Candia F, Franceschi R, Maria Galassi S, Gallo F, Graziani V, Iannilli A, Mameli C, Marigliano M, Minuto N, Monti S, Mozzillo E, Pascarella F, Predieri B, Rabbone I, Roppolo R, Schiaffini R, Tiberi V, Tinti D, Toni S, Scaramuzza A, Vestrucci B, Gesuita R. Glucometrics and device satisfaction in children and adolescents with type 1 diabetes using different treatment modalities: A multicenter real-world observational study. Diabetes Research and Clinical Practice 2024;210:111621 View
  35. Forlenza G, Tabatabai I, Lewis D. Point-Counterpoint: The Need for Do-It-Yourself (DIY) Open Source (OS) AID Systems in Type 1 Diabetes Management. Diabetes Technology & Therapeutics 2024;26(10):689 View
  36. Marsh J, Asan O, Kleinberg S. Perceived Penalties for Sharing Patient Beliefs with Health Care Providers. Medical Decision Making 2024;44(6):617 View
  37. Braune K. Open-Source-AID-Systeme (AID: automatische Insulindosierung) bei Kindern und Jugendlichen. Die Diabetologie 2024 View
  38. Liarakos A, Crabtree T, Wilmot E. Patient‐reported outcomes in studies of diabetes technology: What matters. Diabetes, Obesity and Metabolism 2024 View
  39. Roos T, Hermanns N, Groß C, Kulzer B, Haak T, Ehrmann D. Effect of automated insulin delivery systems on person-reported outcomes in people with diabetes: a systematic review and meta-analysis. eClinicalMedicine 2024;76:102852 View

Books/Policy Documents

  1. Langstrup H, Jansky B. Reframing Algorithms. View