Abstract

Event Abstract Back to Event Integrating theory and data to create an online self-management programme for adults with type 2 diabetes: HeLP-Diabetes Kingshuk Pal1*, Charlotte Dack2, Jamie Ross1, Susan Michie3 and Elizabeth Murray1 1 UCL, Department of Primary Care and Population Health, United Kingdom 2 University of Bath, Department of Psychology, United Kingdom 3 UCL, Health Psychology, United Kingdom Background The prevalence of type 2 diabetes is increasing and estimates suggest that by 2030 nearly 1 in 10 adults worldwide will be living with this condition. 10% of the NHS budget is spent on treating diabetes and related complications like heart attacks, strokes and blindness. Improving self-management in people living with type 2 diabetes is crucial in reducing the morbidity and mortality associated with this disease. Uptake of group-based self-management training is low and there is an urgent need for evidence based and effective alternatives. Computer-based interventions have the potential to provide cost-effective self-management training and improve outcomes for people with type 2 diabetes. Aims/objectives To describe an interdisciplinary protocol for combining theory and empirical data to inform an online self-management programme for adults with type 2 diabetes (‘HeLP-Diabetes’). Methods Literature was searched and experts consulted in the areas of psychology, clinical medicine and medical sociology to identify relevant clinical outcome data, theory and evidence of efficacy of behaviour change techniques (BCTs). A qualitative study explored views and experiences of patients and health professionals. Different sources were relevant to different aspects of the intervention design with weight given to the strength of the evidence supporting a particular approach. Expert consensus and theory were used to guide development where there were conflicting sources or insufficient data. Results Two broad frameworks were identified for defining the scope and implementation of the intervention: • Corbin & Strauss’ model of learning to live with a long-term condition • Normalisation Process Theory to understand why complex interventions do, or do not become implemented and embedded into routine practice. The COM-B model was used to understand the core behaviours relevant to diabetes self-management i.e. relating to diet, activity, and taking medication. Alcohol intake, depression and smoking cessation were tackled by more specialist interventions imported into the programme. The Behaviour Change Wheel was used as a post-hoc framework to summarise the process by which the data were synthesised and used to create the intervention and the intervention was described in terms of BCTs. The active ingredients of the intervention have been explicitly described in terms of 14 BCTs delivered through 8 sections of the website. Three theories underpin the behaviour change elements of the intervention: • Operant learning theory • Control theory • Social cognitive theory Conclusions This protocol demonstrates a multi-disciplinary approach to combining evidence from multiple sources to create ’HeLP-Diabetes’: a theory and evidence based online self-management intervention for adults with type 2 diabetes. Keywords: type 2 diabetes, eHealth, Internet, Behaviour Change, self-management Conference: 2nd Behaviour Change Conference: Digital Health and Wellbeing, London, United Kingdom, 24 Feb - 25 Feb, 2016. Presentation Type: Oral presentation Topic: Academic Citation: Pal K, Dack C, Ross J, Michie S and Murray E (2016). Integrating theory and data to create an online self-management programme for adults with type 2 diabetes: HeLP-Diabetes. Front. Public Health. Conference Abstract: 2nd Behaviour Change Conference: Digital Health and Wellbeing. doi: 10.3389/conf.FPUBH.2016.01.00005 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiers’ terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 11 Dec 2015; Published Online: 09 Jan 2016. * Correspondence: Dr. Kingshuk Pal, UCL, Department of Primary Care and Population Health, London, United Kingdom, k.pal@ucl.ac.uk Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Kingshuk Pal Charlotte Dack Jamie Ross Susan Michie Elizabeth Murray Google Kingshuk Pal Charlotte Dack Jamie Ross Susan Michie Elizabeth Murray Google Scholar Kingshuk Pal Charlotte Dack Jamie Ross Susan Michie Elizabeth Murray PubMed Kingshuk Pal Charlotte Dack Jamie Ross Susan Michie Elizabeth Murray Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.

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