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

Non-randomized Protocols and Methods (ehealth) (572) Glucose Tracking and Self-Monitoring of Blood Glucose (166) Diabetes Self-Management (495) Closed Loop Systems and Artificial Pancreas (7) User-centred Design Case Studies (602)

Published on in Vol 8, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15368, first published .
Evidence on User-Led Innovation in Diabetes Technology (The OPEN Project): Protocol for a Mixed Methods Study

Evidence on User-Led Innovation in Diabetes Technology (The OPEN Project): Protocol for a Mixed Methods Study

Evidence on User-Led Innovation in Diabetes Technology (The OPEN Project): Protocol for a Mixed Methods Study

Authors of this article:

Shane O'Donnell1 Author Orcid Image ;   Dana Lewis2 Author Orcid Image ;   María Marchante Fernández1 Author Orcid Image ;   Mandy Wäldchen1 Author Orcid Image ;   Bryan Cleal3 Author Orcid Image ;   Timothy Skinner3, 4 Author Orcid Image ;   Klemens Raile5 Author Orcid Image ;   Adrian Tappe6 Author Orcid Image ;   Tebbe Ubben6, 7 Author Orcid Image ;   Ingrid Willaing3 Author Orcid Image ;   Bastian Hauck7 Author Orcid Image ;   Saskia Wolf7 Author Orcid Image ;   Katarina Braune5 Author Orcid Image
Article Authors Cited by (29) Tweetations (34) Metrics

Journals

  1. 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
  2. deBronkart D. Open Access as a Revolution: Knowledge Alters Power. Journal of Medical Internet Research 2019;21(12):e16368 View
  3. 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
  4. Yeung A, Atanasov A, Sheridan H, Klager E, Eibensteiner F, Völkl-Kernsock S, Kletecka-Pulker M, Willschke H, Schaden E. Open Innovation in Medical and Pharmaceutical Research: A Literature Landscape Analysis. Frontiers in Pharmacology 2021;11 View
  5. 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
  6. 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
  7. 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
  8. Sherr J, Heinemann L, Fleming G, Bergenstal R, Bruttomesso D, Hanaire H, Holl R, Petrie J, Peters A, Evans M. Automated Insulin Delivery: Benefits, Challenges, and Recommendations. A Consensus Report of the Joint Diabetes Technology Working Group of the European Association for the Study of Diabetes and the American Diabetes Association. Diabetes Care 2022;45(12):3058 View
  9. 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
  10. Sherr J, Heinemann L, Fleming G, Bergenstal R, Bruttomesso D, Hanaire H, Holl R, Petrie J, Peters A, Evans M. Automated insulin delivery: benefits, challenges, and recommendations. A Consensus Report of the Joint Diabetes Technology Working Group of the European Association for the Study of Diabetes and the American Diabetes Association. Diabetologia 2023;66(1):3 View
  11. 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
  12. 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
  13. 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
  14. 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
  15. 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
  16. 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
  17. 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
  18. Wang X, Dunlop A, McKeen J, Feig D, Donovan L. Real‐world use of Control‐IQ™ technology automated insulin delivery in pregnancy: A case series with qualitative interviews. Diabetic Medicine 2023;40(6) View
  19. Schucht P, Mathis A, Murek M, Zubak I, Goldberg J, Falk S, Raabe A. Exploring Novel Innovation Strategies to Close a Technology Gap in Neurosurgery: HORAO Crowdsourcing Campaign. Journal of Medical Internet Research 2023;25:e42723 View
  20. 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
  21. 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
  22. 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
  23. Schipp J, Hendrieckx C, Braune K, Knoll C, O’Donnell S, Ballhausen H, Cleal B, Wäldchen M, Lewis D, Gajewska K, Skinner T, Speight J. Psychosocial Outcomes Among Users and Nonusers of Open-Source Automated Insulin Delivery Systems: Multinational Survey of Adults With Type 1 Diabetes. Journal of Medical Internet Research 2023;25:e44002 View
  24. Pannunzio V, Kleinsmann M, Snelders D, Raijmakers J. From digital health to learning health systems: four approaches to using data for digital health design. Health Systems 2023;12(4):481 View
  25. Šlapáková Losová V, Dvouletý O. The role of open innovation in addressing resource constraints in healthcare: a systematic literature review. Journal of Health Organization and Management 2024;38(2):150 View
  26. Degen I, Robson Brown K, Reeve H, Abdallah Z. Beyond Expected Patterns in Insulin Needs of People With Type 1 Diabetes: Temporal Analysis of Automated Insulin Delivery Data. JMIRx Med 2024;5:e44384 View

Books/Policy Documents

  1. Salgado-Baez E, Näher A, Friedrich M, Kremser G, Braune K, Balzer F. Health Data Management. View
  2. Langstrup H, Jansky B. Reframing Algorithms. View