# Effects of coaching with data management system intervention or usual care on glycemic control in patients with type 2 diabetes: A multicentre, randomised controlled trial

**Authors:** Marlo Verket, Larissa F. Buitkamp, Niveditha Daneeza Dinesh Kanna, Andreas Thomas, Ralf Denger, Friedrich Petry, Oliver Schubert‐Olesen, Wolfgang Stütz, Jörg Simon, Monika Pihusch, Iris Dötsch, Gabriela Krob, Dietrich Tews, David Stolz, Dominik Bergis, Thorsten Lenthe, Frank Schmidt‐Mergenthaler, Elke Dahlmann, Kathrin Boehm, Malte Jacobsen, Dirk Müller‐Wieland, Julia Brandts

PMC · DOI: 10.1111/dom.70534 · Diabetes, Obesity & Metabolism · 2026-02-09

## TL;DR

A digital diabetes management system with coaching improved blood sugar control in type 2 diabetes patients over 26 weeks compared to usual care.

## Contribution

This study demonstrates that combining a diabetes management system with remote coaching improves glycemic control in type 2 diabetes patients.

## Key findings

- The intervention group showed a significant improvement in HbA1c levels compared to the control group.
- No significant differences were observed in quality of life or diabetes-related problems between the groups.
- The diabetes management system had moderate usability according to user feedback.

## Abstract

Integrating a diabetes management system (DMS) and personal coaching in patient care may reduce the burden of type 2 diabetes (T2DM) on patients and help address the multifaceted challenges associated with diabetes management. This study aims to assess the impact of the DMS with online coaching in patients with T2DM on changes in HbA1c levels, quality of life, and usability over 26 weeks.

In a multicentre, randomised, controlled trial, adults with T2DM were randomised 1:1 to either 52 weeks of DMS with remote coaching or to usual care by their diabetologist. The DMS enabled a digital diary of blood pressure, blood glucose, and other health parameters, while coaching sessions included structured assessments of individual patient needs. The primary endpoint was changes in the HbA1c level from baseline to 26 weeks. Secondary endpoints included health‐related quality of life (SF‐12), diabetes‐related problems (PAID), and DMS usability (System Usability Scale) at 26‐week follow‐up.

One hundred and fourteen participants (49 females, 58 ± 11 years old [mean ± standard deviation], HbA1c: 8.3% ± 0.7%, body mass index [BMI]: 35.3 ± 7.9 kg/m2, diabetes duration: 13.6 ± 7.7 years) were randomised and completed baseline. Ninety participants (39 female, age: 58 ± 11 years old, HbA1c: 8.3% ± 0.7%, BMI: 35.2 ± 7.6 kg/m2, diabetes duration: 14 ± 8 years) completed 26‐week follow‐up. The HbA1c levels improved significantly in the intervention group in comparison to the control group (−0.9% ± 1.0% vs. −0.5% ± 1.0%, p = 0.044). No significant differences were observed in SF‐12 and PAID scores at 26‐week follow‐up. Thirty‐two of forty‐three participants who used DMS completed the SUS questionnaire with an average score of 55.4 ± 27.9.

DMS with coaching improved glycaemic control compared to usual care in patients with T2DM at 26‐week follow‐up.

## Linked entities

- **Diseases:** type 2 diabetes (MONDO:0005148)

## Full-text entities

- **Diseases:** type 2 diabetes (MESH:D003924), diabetes (MESH:D003920)
- **Chemicals:** blood glucose (MESH:D001786)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## References

16 references — full list in the complete paper: https://tomesphere.com/paper/PMC12992191/full.md

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Source: https://tomesphere.com/paper/PMC12992191