It is well established that an app becomes more trustworthy when it has been used in real studies and academic work.
forDiabetes is not just a tracking app. It has been used as part of international research projects, clinical studies, and academic work focused on diabetes self-management, data collection, and digital health technologies. In these studies, people with diabetes used the app in their daily lives, recorded their measurements and activities, and their data and experiences were analyzed within formal scientific research frameworks.
This means that forDiabetes has moved beyond the stage of being simply a consumer app. It has become a tool that is actively used in research, clinical evaluation, and academic study.
At the same time, for Diabetes exists withing a wider scientific field that examines how mobile apps, data visualization, wearable devices, and artificial intelligence can support people with diabetes in managing their condition. Many independent studies show that structured digital self-monitoring, data analysis, and personalized feedback can help patients better understand their condition and take a more active role in their care.
These publications show how forDiabetes has been used in research, and how it fits within the wider evidence on digital diabetes self-management.
For transparency, all relevant scientific publications are listed below.
- Zhao et al., 2026
Quality and Multifunctionality in Mobile Apps for Gestational Diabetes: Systematic App Review
- Gosak et al., 2025
How Does Mobile Technology Shape the Perceptions of People with Type 2 Diabetes?
MEDINFO 2025.
- Gosak et al., 2025
Exploring the Key Features of Mobile Application for Type 2 Diabetes Management
MEDINFO 2025.
- Hwang et al., 2025
AI Applications for Chronic Condition Self-Management: A Scoping Review
Journal of Medical Internet Research.
- Turner & Stawarz, 2025
Understanding Device Integrations Within Diabetes Apps
JMIR Diabetes.
- Alexiadis, A., Tsanas, A., Shtika, L., Efopoulos, V., Votis, K., Tzovaras, D., Triantafyllidis, A. (2024)
Next-Day Prediction of Hypoglycaemic Episodes Based on the Use of a Mobile App for Diabetes Self-Management.
- Lopes et al., 2024
Benchmarking Mobile Applications for Diabetes
Revista Latino-Americana de Enfermagem.
- Bonet-Olivencia et al., 2024
User-Centered Design of a Diabetes Self-Management Tool
Journal of Diabetes Science and Technology.
- Gosak, L., Ooge, J., Fijačko, N., Kamenšek, J., Kocbek, P., Debeljak, N., Verbert, K., Štiglic, G. (2023).
Self-Care Oriented Smartphone Apps for Type 2 Diabetes: A Comparative Analysis.
- Gosak et al., 2022
The Impact of Mobile Health Use on the Self-care of Patients With Type 2 Diabetes
JMIR Research Protocols.
- Joachim et al., 2021
Design and Development of a Diabetes Self-Management Platform
Hawaii International Conference on System Sciences (HICSS).
- Ossai, C.I. & Wickramasinghe, N. (2021)
Text Mining and Grounded Theory for Appraising the Self-Management Indicators of Diabetes Mobile Apps
- Zhang et al., 2020
Information Visualization for Diabetes Management
PervasiveHealth Conference.
- Rucci et al., 2020
Diabetes Link: Platform for Self-Control and Monitoring People with Diabetes
Applied Informatics (ICAI 2021, Springer).
- Wattanapisit et al., 2020
Can Mobile Health Apps Replace GPs?
BMC Medical Informatics and Decision Making.
