Supporting people with type 2 diabetes in effective use of their medicine through mobile health technology integrated with clinical care (SuMMiT-D Feasibility): a randomised feasibility trial protocol
Peter Bower,
Veronika Williams,
Dyfrig A Hughes,
Robert Horne,
Jenny McSharry,
Ly-Mee Yu,
Andrew Farmer,
Cassandra Kenning,
Lionel Tarassenko,
Emily A Holmes,
Julie Allen,
Kiera Bartlett,
Yuan Chi,
David French,
Bernard Gudgin,
Louise Locock,
Lisa Miles,
Nikki Newhouse,
Rustam Rea,
Evgenia Riga,
Carmelo Velardo,
Nicola Williams
Affiliations
Peter Bower
1The University of Manchester, School of Health Sciences, Oxford Road, Manchester, GTM M16 OBY, UK
Veronika Williams
School of Nursing, Nipissing University, North Bay, Ontario, Canada
Dyfrig A Hughes
3 Centre for Health Economics and Medicines Evaluation, Bangor University, Bangor, UK
Robert Horne
Centre for Behavioural Medicine, UCL School of Pharmacy, London, UK
Jenny McSharry
7 Health Behaviour Change Research Group, National University of Ireland, Galway, Ireland
Ly-Mee Yu
senior medical statistician
Andrew Farmer
3 Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
Cassandra Kenning
9 Institute of Population Health, The University of Manchester, Manchester, UK
Lionel Tarassenko
Institute of Biomedical Engineering, University of Oxford Mathematical, Physical and Life Sciences Division, Oxford, UK
Emily A Holmes
Centre for Health Economics and Medicines Evaluation, Bangor University, Bangor, UK
Julie Allen
Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
Kiera Bartlett
2 The Division of Psychology and Mental Health, The University of Manchester, Manchester, UK
Yuan Chi
5 Yealth Network, Beijing Health Technology Co., Ltd, Beijing, China
David French
2 The Division of Psychology and Mental Health, The University of Manchester, Manchester, UK
Bernard Gudgin
5 Patient Representative, Oxford, UK
Louise Locock
Health Services Research Unit, Institute of Applied Health Sciences, University of Aberdeen, Aberdeen, UK
Lisa Miles
12 Division of Psychology and Mental Health, The University of Manchester, Manchester, UK
Nikki Newhouse
Rustam Rea
1 Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK
Evgenia Riga
1 Department of Psychiatry, University of Oxford, Oxford, UK
Carmelo Velardo
Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
Nicola Williams
Nuffield Department of Primary Care Health Sciences, Oxford University, Oxford, Oxfordshire, UK
Introduction Type 2 diabetes is common, affecting over 400 million people worldwide. Risk of serious complications can be reduced through use of effective treatments and active self-management. However, people are often concerned about starting new medicines and face difficulties in taking them regularly. Use of brief messages to provide education and support self-management, delivered through mobile phone-based text messages, can be an effective tool for some long-term conditions. We have developed messages aiming to support patients’ self-management of type 2 diabetes in the use of medications and other aspects of self-management, underpinned by theory and evidence. The aim of this trial is to determine the feasibility of a large-scale clinical trial to test the effectiveness and cost-effectiveness of the intervention, compared with usual care.Methods and analysis The feasibility trial will be a multicentre individually randomised, controlled trial in primary care recruiting adults (≥35 years) with type 2 diabetes in England. Consenting participants will be randomised to receive short text messages three times a week with messages designed to produce change in medication adherence or non-health-related messages for 6 months. The aims are to test recruitment methods, retention to the study, the feasibility of data collection and the mobile phone and web-based processes of a proposed definitive trial and to refine the text messaging intervention. The primary outcome is the rate of recruitment to randomisation of participants to the trial. Data, including patient reported measures, will be collected online at baseline and the end of the 6-month follow-up period. With 200 participants (100 in each group), this trial is powered to estimate 80% follow-up within 95% CIs of 73.8% to 85.3%. The analysis will follow a prespecified plan.Ethics and dissemination Ethics approval was obtained from the West of Scotland Research Ethics Committee 05. The results will be disseminated through conference presentations, peer-reviewed journals and will be published on the trial website: www.summit-d.org (SuMMiT-D (SUpport through Mobile Messaging and digital health Technology for Diabetes)).Trial registration number ISRCTN13404264.