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  5. 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
 
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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

Author(s)
O'Donnell, Shane  
Cooper, Drew  
Chen, Yanbing  
Froment, Timothée  
et al.  
Uri
http://hdl.handle.net/10197/24373
Date Issued
2023-03
Date Available
2023-04-28T16:14:56Z
Abstract
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.
Sponsorship
European Commission Horizon 2020
Other Sponsorship
Marie Skłodowska-Curie Action Research and Innovation Staff Exchange (RISE)
DFG funds for Digital Clinician Scientist Program of the Berlin Institute of Health (BIH)
SPOKES Wellcome Trust Translational Partnership Program
Type of Material
Journal Article
Publisher
Elsevier
Journal
Diabetes Research and Clinical Practice
Volume
197
Start Page
1
End Page
7
Copyright (Published Version)
2022 Elsevier
Subjects

Artificial pancreas

Automated insulin del...

Open-source

Access and affordabil...

Type 1 diabetes

DOI
10.1016/j.diabres.2022.110235
Language
English
Status of Item
Peer reviewed
ISSN
0168-8227
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
No Thumbnail Available
Name

__REVISED__Barr_Uptake_.pdf

Size

425.42 KB

Format

Adobe PDF

Checksum (MD5)

cd231786a449fd7e3463cc5fc8ac989f

Owning collection
Sociology Research Collection
Mapped collections
Public Health, Physiotherapy and Sports Science Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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