The co-design of a reactive chatbot to support young people’s self-management of type 1 diabetes mellitus

Rodriguez, Alison, Smith, Lily, Swallow, Veronica, Orpin, Joy, Horsman, Janet, Julian, Madeline, Julian, Robert, Campbell, Fiona, Soni, Astha, Zaidi, Reza, Martin-Kerry, Jackie, Branchflower, Jacob and Dimitri, Paul (2026) The co-design of a reactive chatbot to support young people’s self-management of type 1 diabetes mellitus. Journal of Health Psychology. ISSN 1359-1053

[thumbnail of rodriguez-et-al-2026-the-co-design-of-a-reactive-chatbot-to-support-young-people-s-self-management-of-type-1-diabetes]
Preview
PDF (rodriguez-et-al-2026-the-co-design-of-a-reactive-chatbot-to-support-young-people-s-self-management-of-type-1-diabetes) - Published Version
Available under License Creative Commons Attribution Non-commercial.

Download (1MB) | Preview

Abstract

This study co-designed a reactive chatbot to support self-management of young people and young adults with type 1 Diabetes Mellitus, during transition to adult healthcare services. Qualitative focus groups and interviews were undertaken with 38 young people and young adults aged 11–25 years at 4 study sites across England, to inform chatbot co-design. Data were analysed using Framework Analysis, the Behaviour Change Wheel and COM-B approach. The reactive chatbot includes messaging dialogues and additional materials considerate of the lived experiences of participants, barriers and enablers to self-management, behaviour change theory and techniques. As far as possible, participant recommendations for content, function, and aesthetics of the prototype were implemented. Mechanisms of action for self-management are considered in the developed chatbot. Further research is needed to explore prototype feasibility including the fidelity of the messaging content.

Item Type: Article
Additional Information: Data availability statement: Data access will remain with the current research team due to ethical approval restrictions. Participants consented to the use of brief anonymised excerpts from their data to be included in reports and publications.
Uncontrolled Keywords: digital health,diabetes,young people,young adults,qualitative
Faculty \ School: Faculty of Medicine and Health Sciences > School of Health Sciences
UEA Research Groups: Faculty of Medicine and Health Sciences > Research Groups > Behavioural and Implementation Science for Health and Care
Depositing User: LivePure Connector
Date Deposited: 20 May 2026 08:49
Last Modified: 20 May 2026 08:49
URI: https://ueaeprints.uea.ac.uk/id/eprint/103112
DOI: 10.1177/13591053261448342

Downloads

Downloads per month over past year

Actions (login required)

View Item View Item