Impact on diabetes-related health outcomes using a digitally-enabled diabetes self-management platform in Somerset, UK: An interrupted time-series analysis
The large HbA1c reduction for T2DM is notable for a scalable digitally-enabled self-management intervention and adds to the evidence base for digital interventions for diabetes self-management.
Authors
- Deborah J. Wake (ORCID: https://orcid.org/0000-0003-4376-6973)
- Nicholas Conway (ORCID: https://orcid.org/0000-0003-2784-4775)
- Doogie Brodie (ORCID: https://orcid.org/0000-0002-3504-4519)
- Christopher Sainsbury (ORCID: https://orcid.org/0000-0002-7984-5721)
- Scott Cunningham (ORCID: https://orcid.org/0000-0003-0861-8676)
- Mats Stage Baxter (ORCID: https://orcid.org/0000-0001-6865-4113)
- Scott C. Mackenzie (ORCID: https://orcid.org/0000-0001-5823-4334)
- Jane Dickson (ORCID: https://orcid.org/0000-0002-4106-599X)
- Alex Bickerton (ORCID: https://orcid.org/0009-0002-0943-0069)
Institutions
- University of Dundee (GB)
- Yeovil District Hospital NHS Foundation Trust (GB)
- NHS Tayside (GB)
- Ninewells Hospital (GB)
- Genomics (United Kingdom) (GB)
- The Queen's Medical Research Institute (GB)
- University of Birmingham (GB)
Publication Details
- Journal
- Primary care diabetes
- Published
- 2025-05-14
- DOI
- https://doi.org/10.1016/j.pcd.2025.05.003
- Primary Topic
- Diabetes Management and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.00