TY - JOUR
T1 - Barriers to uptake of Open-Source automated insulin delivery Systems
T2 - Analysis of socioeconomic factors and perceived challenges of adults with type 1 diabetes from the OPEN survey
AU - O'Donnell, Shane
AU - Cooper, Drew
AU - Chen, Yanbing
AU - Ballhausen, Hanne
AU - Lewis, Dana M.
AU - Froment, Timothée
AU - Anna Gajewska, Katarzyna
AU - Tappe, Adrian
AU - Skinner, Timothy
AU - Cleal, Bryan
AU - Braune, Katarina
N1 - Publisher Copyright:
© 2022
PY - 2023/3
Y1 - 2023/3
N2 - Aims: 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.
AB - Aims: 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.
KW - Access and affordability
KW - Artificial pancreas
KW - Automated insulin delivery
KW - Open-source
KW - Type 1 diabetes
UR - http://www.scopus.com/inward/record.url?scp=85147016281&partnerID=8YFLogxK
U2 - 10.1016/j.diabres.2022.110235
DO - 10.1016/j.diabres.2022.110235
M3 - Journal article
C2 - 36581143
AN - SCOPUS:85147016281
SN - 0168-8227
VL - 197
JO - Diabetes Research and Clinical Practice
JF - Diabetes Research and Clinical Practice
M1 - 110235
ER -