Published on in Vol 7, No 7 (2019): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/14087, first published .
Real-World Use of Do-It-Yourself Artificial Pancreas Systems in Children and Adolescents With Type 1 Diabetes: Online Survey and Analysis of Self-Reported Clinical Outcomes

Real-World Use of Do-It-Yourself Artificial Pancreas Systems in Children and Adolescents With Type 1 Diabetes: Online Survey and Analysis of Self-Reported Clinical Outcomes

Real-World Use of Do-It-Yourself Artificial Pancreas Systems in Children and Adolescents With Type 1 Diabetes: Online Survey and Analysis of Self-Reported Clinical Outcomes

Journals

  1. Dovc K, Battelino T. Closed-loop insulin delivery systems in children and adolescents with type 1 diabetes. Expert Opinion on Drug Delivery 2020;17(2):157 View
  2. Burnside M, Lewis D, Crocket H, Wilson R, Williman J, Jefferies C, Paul R, Wheeler B, de Bock M. CREATE (Community deRivEd AutomaTEd insulin delivery) trial. Randomised parallel arm open label clinical trial comparing automated insulin delivery using a mobile controller (AnyDANA-loop) with an open-source algorithm with sensor augmented pump therapy in type 1 diabetes. Journal of Diabetes & Metabolic Disorders 2020;19(2):1615 View
  3. Raile K, Boss K, Braune K, Heinrich-Rohr M. Versorgung von Kindern und Jugendlichen mit Typ-1-Diabetes: Lösungen für technische und psychosoziale Herausforderungen. Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz 2020;63(7):856 View
  4. Rivard L, Lehoux P, Alami H. “It’s not just hacking for the sake of it”: a qualitative study of health innovators’ views on patient-driven open innovations, quality and safety. BMJ Quality & Safety 2021;30(9):731 View
  5. Dovc K, Battelino T. Evolution of Diabetes Technology. Endocrinology and Metabolism Clinics of North America 2020;49(1):1 View
  6. Lanning M, Shen J, Wasser D, Riddle S, Agustin B, Hood K, Naranjo D. Exposure to Closed Loop Barriers Using Virtual Reality. Journal of Diabetes Science and Technology 2020;14(5):837 View
  7. Toffanin C, Kozak M, Sumnik Z, Cobelli C, Petruzelkova L. In Silico Trials of an Open-Source Android-Based Artificial Pancreas: A New Paradigm to Test Safety and Efficacy of Do-It-Yourself Systems. Diabetes Technology & Therapeutics 2020;22(2):112 View
  8. Hussain S, Lewis D. Diabetes Podcast: Do It Yourself/Open Source Artificial Pancreas Systems: Part 1. Diabetes Therapy 2020;11(8):1609 View
  9. Bequette B. Human-in-the-Loop Insulin Dosing. Journal of Diabetes Science and Technology 2021;15(3):699 View
  10. Ng M, Borst E, Garrity A, Hirschfeld E, Lee J. Evolution of Do-It-Yourself Remote Monitoring Technology for Type 1 Diabetes. Journal of Diabetes Science and Technology 2020;14(5):854 View
  11. O'Donnell S, Lewis D, Marchante Fernández M, Wäldchen M, Cleal B, Skinner T, Raile K, Tappe A, Ubben T, Willaing I, Hauck B, Wolf S, Braune K. Evidence on User-Led Innovation in Diabetes Technology (The OPEN Project): Protocol for a Mixed Methods Study. JMIR Research Protocols 2019;8(11):e15368 View
  12. Kesavadev J, Srinivasan S, Saboo B, Krishna B M, Krishnan G. The Do-It-Yourself Artificial Pancreas: A Comprehensive Review. Diabetes Therapy 2020;11(6):1217 View
  13. deBronkart D. Open Access as a Revolution: Knowledge Alters Power. Journal of Medical Internet Research 2019;21(12):e16368 View
  14. Channa R, Wolf R, Abramoff M. Autonomous Artificial Intelligence in Diabetic Retinopathy: From Algorithm to Clinical Application. Journal of Diabetes Science and Technology 2021;15(3):695 View
  15. Jennings P, Hussain S. Do-It-Yourself Artificial Pancreas Systems: A Review of the Emerging Evidence and Insights for Healthcare Professionals. Journal of Diabetes Science and Technology 2020;14(5):868 View
  16. Asarani N, Reynolds A, Elbalshy M, Burnside M, de Bock M, Lewis D, Wheeler B. Efficacy, safety, and user experience of DIY or open-source artificial pancreas systems: a systematic review. Acta Diabetologica 2021;58(5):539 View
  17. Shepard J, Breton M, Nimri R, Roberts J, Street T, Klonoff D, Barnard-Kelly K. User and Healthcare Professional Perspectives on Do-It-Yourself Artificial Pancreas Systems: A Need for Guidelines. Journal of Diabetes Science and Technology 2022;16(1):224 View
  18. Braune K, Wäldchen M, Raile K, Hahn S, Ubben T, Römer S, Hoeber D, Reibel N, Launspach M, Blankenstein O, Bührer C. Open-Source Technology for Real-Time Continuous Glucose Monitoring in the Neonatal Intensive Care Unit: Case Study in a Neonate With Transient Congenital Hyperinsulinism. Journal of Medical Internet Research 2020;22(12):e21770 View
  19. Schoelwer M, DeBoer M. Artificial Pancreas Technology Offers Hope for Childhood Diabetes. Current Nutrition Reports 2021;10(1):47 View
  20. Dovc K, Battelino T. New technical approach to the diabetes therapy. Minerva Pediatrica 2020;72(4) View
  21. Lee S, Kim J, Park S, Jin S, Park S. Toward a Fully Automated Artificial Pancreas System Using a Bioinspired Reinforcement Learning Design: In Silico Validation. IEEE Journal of Biomedical and Health Informatics 2021;25(2):536 View
  22. Petruzelkova L, Jiranova P, Soupal J, Kozak M, Plachy L, Neuman V, Pruhova S, Obermannova B, Kolouskova S, Sumnik Z. Pre‐school and school‐aged children benefit from the switch from a sensor‐augmented pump to an AndroidAPS hybrid closed loop: A retrospective analysis. Pediatric Diabetes 2021;22(4):594 View
  23. Gawrecki A, Zozulinska-Ziolkiewicz D, Michalak M, Adamska A, Michalak M, Frackowiak U, Flotynska J, Pietrzak M, Czapla S, Gehr B, Araszkiewicz A, Moser O. Safety and glycemic outcomes of do-it-yourself AndroidAPS hybrid closed-loop system in adults with type 1 diabetes. PLOS ONE 2021;16(4):e0248965 View
  24. Kesavadev J, Saboo B, Kar P, Sethi J. DIY artificial pancreas: A narrative of the first patient and the physicians’ experiences from India. Diabetes & Metabolic Syndrome: Clinical Research & Reviews 2021;15(2):615 View
  25. Braune K, Gajewska K, Thieffry A, Lewis D, Froment T, O'Donnell S, Speight J, Hendrieckx C, Schipp J, Skinner T, Langstrup H, Tappe A, Raile K, Cleal B. Why #WeAreNotWaiting—Motivations and Self-Reported Outcomes Among Users of Open-source Automated Insulin Delivery Systems: Multinational Survey. Journal of Medical Internet Research 2021;23(6):e25409 View
  26. Schipp J, Skinner T, Holloway E, Scibilia R, Langstrup H, Speight J, Hendrieckx C. How Adults with Type 1 Diabetes Are Navigating the Challenges of Open-Source Artificial Pancreas Systems: A Qualitative Study. Diabetes Technology & Therapeutics 2021;23(8):546 View
  27. Lal R, Maikawa C, Lewis D, Baker S, Smith A, Roth G, Gale E, Stapleton L, Mann J, Yu A, Correa S, Grosskopf A, Liong C, Meis C, Chan D, Garner J, Maahs D, Buckingham B, Appel E. Full closed loop open‐source algorithm performance comparison in pigs with diabetes. Clinical and Translational Medicine 2021;11(4) View
  28. Street T. Review of Self-Reported Data from UK Do-It-Yourself Artificial Pancreas System (DIYAPS) Users to Determine Whether Demographic of Population Affects Use or Outcomes. Diabetes Therapy 2021;12(7):1839 View
  29. Ray M, McMichael A, Rivera-Santana M, Noel J, Hershey T. Technological Ecological Momentary Assessment Tools to Study Type 1 Diabetes in Youth: Viewpoint of Methodologies. JMIR Diabetes 2021;6(2):e27027 View
  30. Jeyaventhan R, Gallen G, Choudhary P, Hussain S. A real‐world study of user characteristics, safety and efficacy of open‐source closed‐loop systems and Medtronic 670G. Diabetes, Obesity and Metabolism 2021;23(8):1989 View
  31. Dramburg S, Braune K, Schröder L, Schneider W, Schunck K, Stephan V. Mobile Applikationen (Apps) zu Diagnosefindung und Therapiesteuerung in der Kinder- und Jugendmedizin. Monatsschrift Kinderheilkunde 2021;169(8):726 View
  32. Ng S. User‐driven, open‐source diabetes technology (special issue): Paediatric DIY APS. Diabetic Medicine 2022;39(5) View
  33. March C, Oyetoro R, Adams J, Rodriguez H, Albanese-O'Neill A. School Nurse Perspectives on Do-It-Yourself Automated Pancreas Systems in the School Setting. Diabetes Technology & Therapeutics 2021;23(10):705 View
  34. Schmitzer J, Strobel C, Blechschmidt R, Tappe A, Peuscher H. Efficient Closed Loop Simulation of Do-It-Yourself Artificial Pancreas Systems. Journal of Diabetes Science and Technology 2022;16(1):61 View
  35. Braune K, Knoll C, Cooper D. Open-Source-Systeme zur automatisierten Insulinabgabe. Die Diabetologie 2022;18(8):875 View
  36. 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
  37. Morsa M, Perrin A, David V, Rault G, Le Roux E, Alberti C, Gagnayre R, Pougheon Bertrand D. Experiences Among Patients With Cystic Fibrosis in the MucoExocet Study of Using Connected Devices for the Management of Pulmonary Exacerbations: Grounded Theory Qualitative Research. JMIR Formative Research 2024;8:e38064 View
  38. 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
  39. Forlenza G, Lal R. Current Status and Emerging Options for Automated Insulin Delivery Systems. Diabetes Technology & Therapeutics 2022;24(5):362 View
  40. Lewis D, Hussain S. Practical Guidance on Open Source and Commercial Automated Insulin Delivery Systems: A Guide for Healthcare Professionals Supporting People with Insulin-Requiring Diabetes. Diabetes Therapy 2022;13(9):1683 View
  41. Raimond L, O’Donnell S, Bøggild-Damkvist T, Filges T, Lomborg K. Open-source automated insulin delivery systems and formal healthcare: A qualitative study of challenges in the interaction between service-users with type 1 diabetes and healthcare professionals. Chronic Illness 2023;19(4):836 View
  42. Weinberger N, Pobiruchin M, Fritsche A, Woll S. Do-it-yourself-Therapie für Menschen mit Typ-1-Diabetes. Die Diabetologie 2023;19(2):136 View
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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
  48. Dos Santos T, Rodrigues T, Puñales M, Arrais R, Kopacek C. Newest Diabetes-Related Technologies for Pediatric Type 1 Diabetes and Its Impact on Routine Care: a Narrative Synthesis of the Literature. Current Pediatrics Reports 2021;9(4):142 View
  49. Müller-Korbsch M, Frühwald L, Kietaibl A. Changes in Ambulatory Glucose Profile in Patients With Type 1 Diabetes Mellitus After Switching From Sensor-Augmented Insulin Pump Therapy to a Do-It-Yourself Artificial Pancreas System: A Retrospective Data Analysis of Real-World Data. Journal of Diabetes Science and Technology 2022;16(6):1577 View
  50. Bukhari K, Malek R. Open-source automated insulin delivery systems for the management of type 1 diabetes during pregnancy. BMJ Case Reports 2021;14(9):e243522 View
  51. Choi M, Lee S, Kim J, Kim G, Park S, Kim J. Do-It-Yourself Open Artificial Pancreas System in Children and Adolescents with Type 1 Diabetes Mellitus: Real-World Data. Diabetes & Metabolism Journal 2022;46(1):154 View
  52. Cooper D, Ubben T, Knoll C, Ballhausen H, O'Donnell S, Braune K, Lewis D. Open-source Web Portal for Managing Self-reported Data and Real-world Data Donation in Diabetes Research: Platform Feasibility Study. JMIR Diabetes 2022;7(1):e33213 View
  53. Reinius M, Mazzocato P, Riggare S, Bylund A, Jansson H, Øvretveit J, Savage C, Wannheden C, Hasson H. Patient-driven innovations reported in peer-reviewed journals: a scoping review. BMJ Open 2022;12(1):e053735 View
  54. Moon S, Jung I, Park C. Current Advances of Artificial Pancreas Systems: A Comprehensive Review of the Clinical Evidence. Diabetes & Metabolism Journal 2021;45(6):813 View
  55. 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
  56. Aldibbiat A, Alqashami A, Hussain S. Use of automated insulin delivery systems in people with type 1 diabetes fasting during Ramadan: An observational study. Journal of Diabetes Investigation 2022;13(4):647 View
  57. 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
  58. 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. SSRN Electronic Journal 2021 View
  59. Santova A, Plachy L, Neuman V, Pavlikova M, Petruzelkova L, Konecna P, Venhacova P, Skvor J, Pomahacova R, Neumann D, Vosahlo J, Strnadel J, Kocourkova K, Obermannova B, Pruhova S, Cinek O, Sumnik Z. Are all HCL systems the same? long term outcomes of three HCL systems in children with type 1 diabetes: real-life registry-based study. Frontiers in Endocrinology 2023;14 View
  60. Dahlberg M, Lek M, Malmqvist Castillo M, Bylund A, Hasson H, Riggare S, Reinius M, Wannheden C. Objectives and outcomes of patient-driven innovations published in peer-reviewed journals: a qualitative analysis of publications included in a scoping review. BMJ Open 2023;13(6):e071363 View
  61. Lei M, Lin B, Ling P, Liu Z, Yang D, Deng H, Yang X, Lv J, Xu W, Yan J. Efficacy and safety of Android artificial pancreas system use at home among adults with type 1 diabetes mellitus in China: protocol of a 26-week, free-living, randomised, open-label, two-arm, two-phase, crossover trial. BMJ Open 2023;13(8):e073263 View
  62. 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
  63. 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
  64. 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
  65. 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
  66. Fagerberg A, Borch L, Kristensen K, Hjelle J. Prevalence, Safety, and Metabolic Control Among Danish Children and Adolescents with Type 1 Diabetes Using Open-Source Automated Insulin Delivery Systems. Diabetes Technology & Therapeutics 2024;26(5):287 View
  67. Cleal B, Chen Y, Wäldchen M, Ballhausen H, Cooper D, O'Donnell S, Knoll C, Krug N, Raile K, Ubben T, Tappe A, Lewis D, Willaing I, Skinner T, Braune K. Emotional and Physical Health Impact in Users of Open-Source Automated Insulin Delivery and Sources of Support: Qualitative Analysis of Patient Narratives. (Preprint). Journal of Medical Internet Research 2023 View