Evaluation of a Digital Health Application for Diabetics Under Real-World Conditions: Superior Outcomes Compared to Standard Care in an Observational Matched Case–Control Study

Background: The present study aims to evaluate the effectiveness of ESYSTA® (Emperra GmbH E-Health Technologies, Germany), a CE-certified digital health application made to support insulin-treated diabetes patients to improve their disease management through better self-empowerment. Methods: To evaluate the effectiveness of ESYSTA®, data from patients who used ESYSTA® for at least 12 months and participated in an originally prospective one-arm study were evaluated. This study was conducted in cooperation with the German health insurance company AOK Nordost (2012–2015). From a real-world data pool of insured AOK Nordost patients, a control group was matched to mimic a controlled trial that allows the use of ESYSTA® to be compared with standard care in the context of a disease management program (DMP). Results: The study results show significant and clinically relevant reductions in HbA1c values of at least 0.4% in ESYSTA® users after 6 months. After 12 months, users achieved, on average, an HbA1c reduction of approximately 0.7%. These reductions are more pronounced compared to the matched control group. Conclusions: The present study shows the effectiveness of the digital health application ESYSTA®. Using a matched control group further increased the internal and external validity of the study results.

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Publication Details

Journal
Diabetology
Published
2025-08-25
DOI
https://doi.org/10.3390/diabetology6090085
Citations
1
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
2.82
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article

Evaluation of a Digital Health Application for Diabetics Under Real-World Conditions: Superior Outcomes Compared to Standard Care in an Observational Matched Case–Control Study

Lena Roth, Petra Riesner, Peter E. H. Schwarz, Nico Steckhan et al.
1 citations
Diabetology
Mobile Health and mHealth Applications
2.82
article

Evaluation of a Digital Health Application for Diabetics Under Real-World Conditions: Superior Outcomes Compared to Standard Care in an Observational Matched Case–Control Study

Lena Roth, Petra Riesner, Peter E. H. Schwarz, Nico Steckhan, C. Wagner, Birgit Krage
article en
1 citations

Abstract

Background: The present study aims to evaluate the effectiveness of ESYSTA® (Emperra GmbH E-Health Technologies, Germany), a CE-certified digital health application made to support insulin-treated diabetes patients to improve their disease management through better self-empowerment. Methods: To evaluate the effectiveness of ESYSTA®, data from patients who used ESYSTA® for at least 12 months and participated in an originally prospective one-arm study were evaluated. This study was conducted in cooperation with the German health insurance company AOK Nordost (2012–2015). From a real-world data pool of insured AOK Nordost patients, a control group was matched to mimic a controlled trial that allows the use of ESYSTA® to be compared with standard care in the context of a disease management program (DMP). Results: The study results show significant and clinically relevant reductions in HbA1c values of at least 0.4% in ESYSTA® users after 6 months. After 12 months, users achieved, on average, an HbA1c reduction of approximately 0.7%. These reductions are more pronounced compared to the matched control group. Conclusions: The present study shows the effectiveness of the digital health application ESYSTA®. Using a matched control group further increased the internal and external validity of the study results.

DiabetologyVol. 6(9)
Bausch Health (Germany) (DE), University Hospital Carl Gustav Carus (DE)
Openalex Percentile: Top 9%
Mobile Health and mHealth Applications
2.82
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Evaluation of a Digital Health Application for Diabetics Under Real-World Conditions: Superior Outcomes Compared to Standard Care in an Observational Matched Case–Control Study — Lena Roth, Petra Riesner, et al. · Diabetology (2025) | TGRS Research Map | TGRS