Abstract
Background
The MyWay Diabetes (MWD) digital platform aims to improve diabetes management through personalised access to health records, structured education, and other self-management features.
Purpose We aimed to assess health outcomes in MWD users with type 1 diabetes (T1DM) and type 2 diabetes (T2DM) over 6 years of use.
Methods An interrupted time-series analysis in MWD users with T1DM or T2DM in Somerset, UK, compared pre- and post-MWD registration trends to estimate differences in health outcomes (HbA1c, blood pressure, lipids, BMI, weight). Generalised estimating equations modelling adjusted for participant baseline characteristics and identified significant predictors.
Results A total of 7207 people (T1DM: n = 750 (52.3 % female, mean age 51.2 (SD15.8)), T2DM: n = 6457 (58.1 % male, mean age 64.7 (SD12.0))) were included in the analysis. The study showed some health outcomes improved significantly for T2DM between pre- and post-MWD registration. HbA1c reduced by 8.6 mmol/mol at 24 months post-MWD registration, with greatest improvements observed in users who were younger, had shorter diabetes durations and who were frequent MWD users. All health outcomes for T1DM were unchanged.
Conclusion 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.
Abbreviations
T2DMType 2 Diabetes MellitusT1DMType 1 Diabetes MellitusMWDMyWay DiabetesMWDHMyWay Digital HealthICBIntegrated Care BoardITSAInterrupted Time-series AnalysisHDL-CHigh-Density Lipoprotein cholesterolLDL-CLow-Density Lipoprotein cholesterol, SBP, Systolic Blood PressureDBPDiastolic Blood PressureONSOrdinary Least SquaresACFAutocorrelationPACFPartial AutocorrelationGEEGeneralised Estimating EquationsQICQuasilikelihood Independent CriterionEIMDEnglish Index of Multiple Deprivation
The MyWay Diabetes (MWD) digital platform aims to improve diabetes management through personalised access to health records, structured education, and other self-management features.
Purpose We aimed to assess health outcomes in MWD users with type 1 diabetes (T1DM) and type 2 diabetes (T2DM) over 6 years of use.
Methods An interrupted time-series analysis in MWD users with T1DM or T2DM in Somerset, UK, compared pre- and post-MWD registration trends to estimate differences in health outcomes (HbA1c, blood pressure, lipids, BMI, weight). Generalised estimating equations modelling adjusted for participant baseline characteristics and identified significant predictors.
Results A total of 7207 people (T1DM: n = 750 (52.3 % female, mean age 51.2 (SD15.8)), T2DM: n = 6457 (58.1 % male, mean age 64.7 (SD12.0))) were included in the analysis. The study showed some health outcomes improved significantly for T2DM between pre- and post-MWD registration. HbA1c reduced by 8.6 mmol/mol at 24 months post-MWD registration, with greatest improvements observed in users who were younger, had shorter diabetes durations and who were frequent MWD users. All health outcomes for T1DM were unchanged.
Conclusion 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.
Abbreviations
T2DMType 2 Diabetes MellitusT1DMType 1 Diabetes MellitusMWDMyWay DiabetesMWDHMyWay Digital HealthICBIntegrated Care BoardITSAInterrupted Time-series AnalysisHDL-CHigh-Density Lipoprotein cholesterolLDL-CLow-Density Lipoprotein cholesterol, SBP, Systolic Blood PressureDBPDiastolic Blood PressureONSOrdinary Least SquaresACFAutocorrelationPACFPartial AutocorrelationGEEGeneralised Estimating EquationsQICQuasilikelihood Independent CriterionEIMDEnglish Index of Multiple Deprivation
| Original language | English |
|---|---|
| Pages (from-to) | 360-367 |
| Number of pages | 8 |
| Journal | Primary Care Diabetes |
| Volume | 19 |
| Issue number | 4 |
| Early online date | 14 May 2025 |
| DOIs | |
| Publication status | Published - 25 Jun 2025 |
Keywords
- Diabetes mellitus
- mHealth
- Digital health
- Self-care
- Interrupted timeseries analysis
ASJC Scopus subject areas
- Internal Medicine
- Endocrinology, Diabetes and Metabolism
- Nutrition and Dietetics
Access to Document
- Final published version
1751-9918/© 2025 The Authors. Published by Elsevier Ltd on behalf of Primary Care Diabetes Europe. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).