Effectiveness of an AI-Based Health Education Platform in Enhancing Family Health Literacy, Parental Caregiving Self-Efficacy, and Nurse-Family Interaction

Background and Aim: The integration of modern technologies-particularly artificial intelligence (AI)-based platforms-offers innovative opportunities for health education and enhancing caregiving competencies among children, families, and nurses. This study aimed to examine the effectiveness of an AI-based mobile health education platform on improving family health literacy, parental caregiving self-efficacy, and nurse-family interaction. Methods: This quasi-experimental study with a two-group pretest-posttest (three-month follow-up) design was conducted in ۲۰۲۴ in teaching hospitals affiliated with Zahedan University of Medical Sciences. A total of ۶۰ children with chronic illnesses (aged ۶-۱۲), one parent per child, and their corresponding nurses were selected through simple random sampling and assigned to intervention (n=۳۰) and control (n=۳۰) groups. The intervention group received education via a researcher-designed AI-powered mobile platform, which included interactive multimedia modules on child health education, nutrition, medication management, emotional support, communication skills for parents, and professional interaction strategies for nurses. The training was accessible to participants over six weeks in an interactive format. Data were collected at two time points (before and three months after the intervention) using the Health Literacy Questionnaire (HLQ), Parenting Sense of Competence Scale (PSOC), and the Nurse-Family Partnership Process Measure (NFPPM). Data analysis was performed using paired t-tests, independent t-tests, and ANCOVA. A significance level of p<۰.۰۵ was considered. Results: The results showed that the mean scores of family health literacy, parental caregiving self-efficacy, and nurse-family interaction significantly increased in the intervention group both compared to baseline and to the control group at the three-month follow-up (p<۰.۰۰۱). No significant changes were observed in the control group (p>۰.۰۵). ANCOVA confirmed the independent and significant effect of the intervention after adjusting for baseline scores (p<۰.۰۱). Conclusion: The AI-based mobile platform proved effective in enhancing family health literacy, improving parental caregiving self-efficacy, and fostering more effective nurse-family interaction. This innovative educational approach may serve as a practical and scalable strategy for improving child-centered care and interprofessional collaboration.

کلیدواژه ها:

Artificial intelligence ، health education ، self-efficacy ، family ، interaction ، nurse