O'Donnell, ShaneShaneO'DonnellCooper, DrewDrewCooperChen, YanbingYanbingChenFroment, TimothéeTimothéeFromentet al.2023-04-282023-04-282022 Elsev2023-03Diabetes Research and Clinical Practice0168-8227http://hdl.handle.net/10197/24373Aims: Social and technical trends are empowering people with diabetes to co-create or self-develop medical devices and treatments to address their unmet healthcare needs, for example, open-source automated insulin delivery (AID) systems. This study aims to investigate the perceived barriers towards adoption and maintaining of open-source AID systems. Methods: This is a multinational study based on a cross-sectional, retrospective web-based survey of non-users of open-source AID. Participants (n = 129) with type 1 diabetes from 31 countries were recruited online to elicit their perceived barriers towards building and maintaining of an open-source AID system. Results: Sourcing the necessary components, lack of confidence in one's own technology knowledge and skills, perceived time and energy required to build a system, and fear of losing healthcare provider support appear to be major barriers towards the uptake of open-source AID. Conclusions: This study identified a range of structural and individual-level barriers to uptake of open-source AID. Some of these individual-level barriers may be overcome over time through the peer support of the DIY online community as well as greater acceptance of open-source innovation among healthcare professionals. The findings have important implications for understanding the possible wider diffusion of open-source diabetes technology solutions in the future.Print-ElectronicenThis is the author’s version of a work that was accepted for publication in Diabetes Research and Clinical Practice. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Diabetes Research and Clinical Practice (VOL 197, (March 2023)) DOI: https://doi.org/10.1016/j.diabres.2022.110235Artificial pancreasAutomated insulin deliveryOpen-sourceAccess and affordabilityType 1 diabetesJournal Article1971710.1016/j.diabres.2022.1102352023-04-27823902https://creativecommons.org/licenses/by-nc-nd/3.0/ie/