Country-Specific Differences in Glycemic Outcomes Using Real-World Data from the mySugr® App for Diabetes Self-Management

Introduction: Digital diabetes technologies have the potential to enhance disease self-management and reduce the socioeconomic burden on health care systems. This retrospective real-world data study aimed to investigate the impact of the mySugr® app on glycemic outcomes on a global scale and within individual countries to identify socioeconomic factors that influence country-specific outcomes. Methods: From January 2018 to October 2024, data were collected from 13,826 mySugr® app users, who met the inclusion criteria (at least two blood glucose logs per day on ≥14 days/month for 3 months with at least one insulin log entry). Change in mean estimated HbA1c (eHbA1c) was assessed over 3 months compared with baseline, analyzed globally, and stratified by diabetes type, country of origin, and World Bank region. A linear regression model was fit to study the relationship between country-specific eHbA1c change and socioeconomic factors (gross domestic product [GDP] per capita, health care expenditure [HE], ratio and World Bank region). Results: App use was associated with a significant mean eHbA1c reduction from 7.55% at baseline to 7.19% over 3 months ( P < 0.001). Significant improvements were observed for both type 1 and type 2 diabetes ( P < 0.001) and across geographic regions. A linear model incorporating GDP per capita, HE, World Bank region, and a GDP*HE interaction was able to explain differences between countries to a large degree (adjusted R 2 value = 0.535). Higher GDP and HE were associated with a better eHbA1c improvement, with the HE effect being stronger in high-GDP countries. These results show an improved glycemic control with the app’s use across diverse health care systems and highlight socioeconomic factors that can predict a majority of the outcome differences between countries, offering valuable insights for health economic modeling and informing policy discussions on digital health reimbursement.

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Publication Details

Journal
Diabetes Technology and Obesity Medicine
Published
2025-10-01
DOI
https://doi.org/10.1177/29986702251390455
Primary Topic
Mobile Health and mHealth Applications
Type
article
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article

Country-Specific Differences in Glycemic Outcomes Using Real-World Data from the mySugr® App for Diabetes Self-Management

Diabetes Technology and Obesity Medicine
Mobile Health and mHealth Applications
article

Country-Specific Differences in Glycemic Outcomes Using Real-World Data from the mySugr® App for Diabetes Self-Management

article en

Abstract

Introduction: Digital diabetes technologies have the potential to enhance disease self-management and reduce the socioeconomic burden on health care systems. This retrospective real-world data study aimed to investigate the impact of the mySugr® app on glycemic outcomes on a global scale and within individual countries to identify socioeconomic factors that influence country-specific outcomes. Methods: From January 2018 to October 2024, data were collected from 13,826 mySugr® app users, who met the inclusion criteria (at least two blood glucose logs per day on ≥14 days/month for 3 months with at least one insulin log entry). Change in mean estimated HbA1c (eHbA1c) was assessed over 3 months compared with baseline, analyzed globally, and stratified by diabetes type, country of origin, and World Bank region. A linear regression model was fit to study the relationship between country-specific eHbA1c change and socioeconomic factors (gross domestic product [GDP] per capita, health care expenditure [HE], ratio and World Bank region). Results: App use was associated with a significant mean eHbA1c reduction from 7.55% at baseline to 7.19% over 3 months ( P < 0.001). Significant improvements were observed for both type 1 and type 2 diabetes ( P < 0.001) and across geographic regions. A linear model incorporating GDP per capita, HE, World Bank region, and a GDP*HE interaction was able to explain differences between countries to a large degree (adjusted R 2 value = 0.535). Higher GDP and HE were associated with a better eHbA1c improvement, with the HE effect being stronger in high-GDP countries. These results show an improved glycemic control with the app’s use across diverse health care systems and highlight socioeconomic factors that can predict a majority of the outcome differences between countries, offering valuable insights for health economic modeling and informing policy discussions on digital health reimbursement.

Diabetes Technology and Obesity MedicineVol. 1(1)
Roche (Switzerland) (CH), Rotary International (US)
Openalex Percentile: Top 31%
Mobile Health and mHealth Applications
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Country-Specific Differences in Glycemic Outcomes Using Real-World Data from the mySugr® App for Diabetes Self-Management · Diabetes Technology and Obesity Medicine (2025) | TGRS Research Map | TGRS