Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Research Protocols

Date Submitted: Dec 3, 2020
Date Accepted: Oct 14, 2021

The final, peer-reviewed published version of this preprint can be found here:

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

Goldthorpe J, Allen T, Brooks J, Kontopantelis E, Holland F, Moss C, Wake DJ, Brodie D, Cunningham S, Kanumilli N, Bishop H, Jones E, Milne N, Ball S, Jenkins M, Huntriss R, Sparrowhawk K, Morgan-Curran M, Johnson G, Rutter M

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

JMIR Res Protoc 2022;11(8):e26237

DOI: 10.2196/26237

PMID: 35976184

PMCID: 9434385

GM Diabetes My Way: digital interventions supporting self-care in people with type 2 diabetes across Greater Manchester: A protocol for a mixed-methods evaluation

  • Joanna Goldthorpe; 
  • Thomas Allen; 
  • Joanna Brooks; 
  • Evangelos Kontopantelis; 
  • Fiona Holland; 
  • Charlie Moss; 
  • Deborah J. Wake; 
  • Doogie Brodie; 
  • Scott Cunningham; 
  • Naresh Kanumilli; 
  • Hannah Bishop; 
  • Ewan Jones; 
  • Nicola Milne; 
  • Steve Ball; 
  • Mark Jenkins; 
  • Rosemary Huntriss; 
  • Keiron Sparrowhawk; 
  • Michael Morgan-Curran; 
  • Gemma Johnson; 
  • Martin Rutter

ABSTRACT

Background:

Digital diabetes management systems have the potential to deliver cost-effective self-management support. DiabetesMyWay (DMW) is a platform for an open access website that includes a variety of multimedia resources including offering patients access to their clinical data in the form of an electronic personal health record. DMW aims to improve both the outcomes and experience of people with T2D, and provide them with a single care record which can be shared with their clinicians to support consultations, clinical decision making, care planning and self-management advice.

Objective:

The objective of this study is to evaluate the effectiveness of DMW and to explore acceptability to patients and clinicians

Methods:

A consensus approach to recruitment will be taken; all adults registered with type 2 diabetes, registered with a GP in the study area will be eligible. We will take a mixed methods approach to data collection analysis.

Results:

At the time of submission (December 2020) 263 participants have been recruited to the quantitative study and ten participants have been recruited to the qualitative study (seven practitioners and three patients). The primary outcome for effectiveness will be HbA1c value post intervention in participants and controls receiving usual care. We will also conduct a qualitative exploration of acceptability and a cost effectiveness evaluation.

Conclusions:

Digital interventions have potential to transform self-management of T2D and deliver major clinical, psychological and economic benefits. This test bed project aims to assess the impact of a range of digital interventions delivered through DiabetesMyWay in an ethnically and socially diverse group of people with type two diabetes in Greater Manchester.


 Citation

Please cite as:

Goldthorpe J, Allen T, Brooks J, Kontopantelis E, Holland F, Moss C, Wake DJ, Brodie D, Cunningham S, Kanumilli N, Bishop H, Jones E, Milne N, Ball S, Jenkins M, Huntriss R, Sparrowhawk K, Morgan-Curran M, Johnson G, Rutter M

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

JMIR Res Protoc 2022;11(8):e26237

DOI: 10.2196/26237

PMID: 35976184

PMCID: 9434385

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.