Digital Interventions Supporting Self-care in People With Type 2 Diabetes Across Greater Manchester (Greater Manchester Diabetes My Way): Protocol for a Mixed Methods Evaluation.

complex intervention diabetes electronic health self-management

Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
17 Aug 2022
Historique:
received: 03 12 2020
accepted: 14 10 2021
revised: 17 05 2021
entrez: 17 8 2022
pubmed: 18 8 2022
medline: 18 8 2022
Statut: epublish

Résumé

Type 2 Diabetes (T2D) is common, with a prevalence of approximately 7% of the population in the United Kingdom. The quality of T2D care is inconsistent across the United Kingdom, and Greater Manchester (GM) does not currently achieve the National Institute for Health and Care Excellence treatment targets. Barriers to delivery of care include low attendance and poor engagement with local T2D interventions, which tend to consist of programs of education delivered in traditional, face-to-face clinical settings. Thus, a flexible approach to T2D management that is accessible to people from different backgrounds and communities is needed. Diabetes My Way (DMW) is a digital platform that offers a comprehensive self-management and educational program that should be accessible to a wide range of people through mobile apps and websites. Building on evidence generated by a Scotland-wide pilot study, DMW is being rolled out and tested across GM. The overarching objectives are to assess whether DMW improves outcomes for patients with T2D in the GM area, to explore the acceptability of the DMW intervention to stakeholders, and to assess the cost-effectiveness of the intervention. A mixed methods approach will be used. We will take a census approach to recruitment in that all eligible participants in GM will be invited to participate. The primary outcomes will be intervention-related changes compared with changes observed in a matched group of controls, and the secondary outcomes will be within-person intervention-related changes. The cost-effectiveness analysis will focus on obtaining reliable estimates of how each intervention affects risk factors such as HbA1c and costs across population groups. Qualitative data will be collected via semistructured interviews and focus groups and organized using template analysis. As of May 10, 2021, a total of 316 participants have been recruited for the quantitative study and have successfully enrolled. A total of 278 participants attempted to register but did not have appropriate permissions set by the general practitioners to gain access to their data. In total, 10 participants have been recruited for the qualitative study (7 practitioners and 3 patients). An extension to recruitment has been granted for the quantitative element of the research, and analysis should be complete by December 2022. Recruitment and analysis for the qualitative study should be complete by December 2021. The findings from this study can be used both to develop the DMW system and improve accessibility and usability in more deprived populations generally, thus improving equity in access to support for T2D self-management. DERR1-10.2196/26237.

Sections du résumé

BACKGROUND BACKGROUND
Type 2 Diabetes (T2D) is common, with a prevalence of approximately 7% of the population in the United Kingdom. The quality of T2D care is inconsistent across the United Kingdom, and Greater Manchester (GM) does not currently achieve the National Institute for Health and Care Excellence treatment targets. Barriers to delivery of care include low attendance and poor engagement with local T2D interventions, which tend to consist of programs of education delivered in traditional, face-to-face clinical settings. Thus, a flexible approach to T2D management that is accessible to people from different backgrounds and communities is needed. Diabetes My Way (DMW) is a digital platform that offers a comprehensive self-management and educational program that should be accessible to a wide range of people through mobile apps and websites. Building on evidence generated by a Scotland-wide pilot study, DMW is being rolled out and tested across GM.
OBJECTIVE OBJECTIVE
The overarching objectives are to assess whether DMW improves outcomes for patients with T2D in the GM area, to explore the acceptability of the DMW intervention to stakeholders, and to assess the cost-effectiveness of the intervention.
METHODS METHODS
A mixed methods approach will be used. We will take a census approach to recruitment in that all eligible participants in GM will be invited to participate. The primary outcomes will be intervention-related changes compared with changes observed in a matched group of controls, and the secondary outcomes will be within-person intervention-related changes. The cost-effectiveness analysis will focus on obtaining reliable estimates of how each intervention affects risk factors such as HbA1c and costs across population groups. Qualitative data will be collected via semistructured interviews and focus groups and organized using template analysis.
RESULTS RESULTS
As of May 10, 2021, a total of 316 participants have been recruited for the quantitative study and have successfully enrolled. A total of 278 participants attempted to register but did not have appropriate permissions set by the general practitioners to gain access to their data. In total, 10 participants have been recruited for the qualitative study (7 practitioners and 3 patients). An extension to recruitment has been granted for the quantitative element of the research, and analysis should be complete by December 2022. Recruitment and analysis for the qualitative study should be complete by December 2021.
CONCLUSIONS CONCLUSIONS
The findings from this study can be used both to develop the DMW system and improve accessibility and usability in more deprived populations generally, thus improving equity in access to support for T2D self-management.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
DERR1-10.2196/26237.

Identifiants

pubmed: 35976184
pii: v11i8e26237
doi: 10.2196/26237
pmc: PMC9434385
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e26237

Informations de copyright

©Joanna Goldthorpe, Thomas Allen, Joanna Brooks, Evangelos Kontopantelis, Fiona Holland, Charlie Moss, Deborah J Wake, Doogie Brodie, Scott G Cunningham, Naresh Kanumilli, Hannah Bishop, Ewan Jones, Nicola Milne, Steve Ball, Mark Jenkins, Bogna Nicinska, Martina Ratto, Michael Morgan-Curran, Gemma Johnson, Martin K Rutter. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 17.08.2022.

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Auteurs

Joanna Goldthorpe (J)

Manchester Centre for Health Psychology, School of Health Sciences, University of Manchester, Manchester, United Kingdom.

Thomas Allen (T)

Manchester Centre for Health Economics, University of Manchester, Manchester, United Kingdom.

Joanna Brooks (J)

Manchester Centre for Health Psychology, School of Health Sciences, University of Manchester, Manchester, United Kingdom.

Evangelos Kontopantelis (E)

Division of Informatics, Imaging and Data Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.

Fiona Holland (F)

Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.

Charlie Moss (C)

Division of Population Health, Health Services Research and Primary Care, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, United Kingdom.

Deborah J Wake (DJ)

My Way Digital Health, Dundee, United Kingdom.
Centre for Medical Informatics, Usher Institute, University of Edinburgh, Edinburgh, United Kingdom.

Doogie Brodie (D)

My Way Digital Health, Dundee, United Kingdom.

Scott G Cunningham (SG)

My Way Digital Health, Dundee, United Kingdom.
Population Health & Genomics, School of Medicine, University of Dundee, Dundee, United Kingdom.

Naresh Kanumilli (N)

Northenden Group Practice, Manchester, United Kingdom.
Diabetes, Endocrinology & Metabolism Centre, Manchester Royal Infirmary, Manchester, United Kingdom.

Hannah Bishop (H)

Greater Manchester & Eastern Cheshire Strategic Clinical Networks, Greater Manchester Health & Social Care Partnership, Manchester, United Kingdom.

Ewan Jones (E)

Greater Manchester & Eastern Cheshire Strategic Clinical Networks, Greater Manchester Health & Social Care Partnership, Manchester, United Kingdom.

Nicola Milne (N)

Diabetes, Endocrinology & Metabolism Centre, Manchester Royal Infirmary, Manchester, United Kingdom.

Steve Ball (S)

Diabetes, Endocrinology & Metabolism Centre, Manchester Royal Infirmary, Manchester, United Kingdom.

Mark Jenkins (M)

Oviva Health, London, United Kingdom.

Bogna Nicinska (B)

Oviva Health, London, United Kingdom.

Martina Ratto (M)

Beingwell Group, English Institute of Sport, Sheffield, United Kingdom.

Michael Morgan-Curran (M)

MyCognition Ltd, London, United Kingdom.

Gemma Johnson (G)

Changing Health Limited, Newcastle upon Tyne, United Kingdom.

Martin K Rutter (MK)

Diabetes, Endocrinology & Metabolism Centre, Manchester Royal Infirmary, Manchester, United Kingdom.
Division of Diabetes, Endocrinology & Gastroenterology, School of Medical Sciences, University of Manchester, Manchester, United Kingdom.

Classifications MeSH