Association of British Clinical Diabetologists, Diabetes Technology Network UK and Association of Children’s Diabetes Clinicians Survey of UK Healthcare Professional Attitudes Towards Open-Source Automated Insulin Delivery Systems

Thomas S.J. Crabtree, Pratik Choudhary, Alistair Lumb, Peter Hammond, A. McLay, Fiona Campbell, Sze M. Ng, Emma G. Wilmot*, Sufyan Hussain

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

Introduction: Automated insulin delivery (AID) systems can enable improved glycaemic outcomes with reduced mental burden. Open-source AID (OS-AID) systems overcome some of the developmental and access barriers enabling a wider use of these systems. Limited data are available on healthcare professional (HCP) opinions and current practice regarding these systems. The aim of this survey was to gain insight into HCP perceptions and practices around OS-AID. Methods: This survey was developed collaboratively with OS-AID users and distributed to adult and children’s teams, using an online survey tool. Results were received between February and April 2019. Responses were assessed using simple descriptive statistics with analyses stratified by respondent characteristics. Results: 317 responses were obtained from a range of HCPs in both adult and paediatric services. Key results include: HCP perception of OS-AID as “risky in the wrong hands” (43%); 91% felt uncomfortable initiating discussions around OS-AID because of lack of regulation (67%) and/or their own lack of knowledge (63%). Half of HCPs (47%) reported that they would choose OS-AID if they themselves had type 1 diabetes. Conclusions: HCPs are generally supportive of OS-AID users but many feel uncomfortable with the technicalities of the systems given the lack of approval. Knowledge around the use of these systems was limited. Re-assessment of HCP perceptions should be performed in the future given the evolving landscape of diabetes technology, recent consensus statements and emerging ethical and legal perspectives.

Original languageEnglish
Pages (from-to)341-353
Number of pages13
JournalDiabetes Therapy
Volume13
Issue number2
Early online date31 Jan 2022
DOIs
Publication statusPublished - Feb 2022

Keywords

  • Attitudes
  • Ethics
  • Healthcare professional opinion
  • Open-source automated insulin delivery
  • Technology

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