# Real‐World Evidence on Mobile App–Supported Diabetes Management in Insulin‐Treated Patients

**Authors:** Lena Roth, Julian Stein, Peter E. H. Schwarz

PMC · DOI: 10.1155/jdr/6671361 · Journal of Diabetes Research · 2025-12-29

## TL;DR

A mobile diabetes app called ESYSTA helps insulin-treated patients lower and maintain their blood sugar levels over a long period in real-world settings.

## Contribution

The study provides real-world evidence of a mobile app's long-term effectiveness in improving glycemic control for insulin-treated diabetes patients.

## Key findings

- ESYSTA users showed a significant HbA1c reduction of −0.59 percentage points after 6 months, sustained for up to 15 months.
- Users with higher initial HbA1c levels experienced greater reductions in blood sugar levels.
- 75% of users consistently tracked their blood glucose values throughout the study period.

## Abstract

Digital health interventions, such as mobile diabetes apps, are aimed at supporting glycemic control. Real‐world data (RWD) provide valuable insights into their long‐term effectiveness beyond the controlled conditions of randomized trials.

This study evaluates the effectiveness of the mobile diabetes app ESYSTA in improving glycemic control using real‐world evidence.

A retrospective analysis of 475 users was conducted to assess HbA1c changes after 6 months of usage and also long‐term usage (12 and 15 months). A linear mixed model was used to adjust for confounding factors.

After 6 months, ESYSTA users achieved a significant HbA1c reduction of −0.59 (−0.70; −0.48) percentage points compared to baseline, which was maintained for up to 15 months. Users with higher baseline HbA1c showed greater reductions. Seventy‐five percent of users tracked their blood glucose values consistently during the whole observation period.

These real‐world evidence findings demonstrate the effectiveness of a mobile diabetes app in improving glycemic control over an extended period. While statistical adjustments addressed potential biases, missing data remain a challenge. Further research, including controlled studies, is needed to confirm these real‐world results and further explore the underlying mechanisms of sustained HbA1c improvement.

## Linked entities

- **Diseases:** diabetes (MONDO:0005015)

## Full-text entities

- **Genes:** INS (insulin) [NCBI Gene 3630] {aka IDDM, IDDM1, IDDM2, ILPR, IRDN, MODY10}
- **Diseases:** Diabetes (MESH:D003920)
- **Chemicals:** ESYSTA (-), blood glucose (MESH:D001786)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

28 references — full list in the complete paper: https://tomesphere.com/paper/PMC12767227/full.md

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Source: https://tomesphere.com/paper/PMC12767227