Akademik Veri Yönetim Sistemi
Diabetes Research and Clinical Practice, cilt.232, 2026 (SCI-Expanded, Scopus)
Background: This study was conducted to examine the effects of eHealth and artificial intelligence literacy on disease self-management in patients with diabetes. Methods: The cross-sectional study was conducted with 212 patients with diabetes who were followed up in Endocrinology clinics and outpatient clinics of a hospital between October 2024 and June 2025. Data were collected through face-to-face interviews using a Personal Information Form, the eHealth Literacy Scale, the Artificial Intelligence (AI) Literacy Scale, and the Diabetes Self-Management Questionnaire. Data were analysed using the SPSS-27 software, and p = 0.05 was considered statistically significant. Results: The mean age of the 212 patients was 52.09 ± 17.02, and their mean disease duration was 9.66 ± 8.47 years. The patients had mean Diabetes Self-Management Questionnaire, eHealth Literacy Scale, and AI Literacy Scale scores of 6.47 ± 1.50, 27.87 ± 8.83, and 48.12 ± 11.26, respectively. Diabetes self-management was significantly and positively correlated with eHealth literacy (r = 0.505; p = 0.000) and AI literacy (r = 0.499; p = 0.000). Additionally, a positive significant relationship was found between general eHealth literacy and AI literacy (r = 0.865; p = 0.000). Conclusions: The results of this study suggest that general eHealth and AI literacy play a significant role in supporting diabetes self-management.