Primary care diabetes · 2025
Impact on diabetes-related health outcomes using a digitally-enabled diabetes self-management platform in Somerset, UK: An interrupted time-series analysis.
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Baxter Mats, Conway Nicholas, Bickerton Alex, Cunningham Scott, MacKenzie Scott C, Dickson Jane, Brodie Doogie, Sainsbury Christopher, Wake Deborah J
Аннотация
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.
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.
Предметные рубрики MeSH
HumansMaleFemaleDiabetes Mellitus, Type 2Middle AgedDiabetes Mellitus, Type 1Time FactorsAdultAgedGlycated HemoglobinInterrupted Time Series AnalysisTreatment OutcomeUnited KingdomSelf-ManagementBiomarkersGlycemic ControlSelf CarePatient Education as TopicBlood GlucoseTelemedicineBlood PressureLipidsMobile Applications