The effects of e-Health and artificial intelligence literacy levels on disease self-management in patients with diabetes
Authors' conclusion
The results of this study suggest that general eHealth and AI literacy play a significant role in supporting diabetes self-management.
Study context
- Population
- Patients with diabetes followed up in endocrinology clinics and outpatient clinics of a hospital, October 2024–June 2025; mean age 52.09 ± 17.02, mean disease duration 9.66 ± 8.47 years
- Participants
- 212 patients
- Outcome
- Correlation of diabetes self-management with eHealth and AI literacy
Main finding
As reported in the abstract
Diabetes self-management vs eHealth literacy, r (p = 0.000)
0.505
Diabetes self-management vs Artificial Intelligence (AI) literacy, r (p = 0.000)
0.499
Observational data: associations, not effects.
Further findings
Mean scale scores
- Diabetes Self-Management Questionnaire score, mean ± SD
- 6.47 ± 1.50
- eHealth Literacy Scale score, mean ± SD
- 27.87 ± 8.83
- AI Literacy Scale score, mean ± SD
- 48.12 ± 11.26
Correlation of general eHealth literacy with AI literacy
- eHealth literacy vs AI literacy, r (p = 0.000)
- 0.865
Original publication
The effects of e-Health and artificial intelligence literacy levels on disease self-management in patients with diabetes. Diabetes Res Clin Pract. Published 3 January 2026. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →