Web-based discharge education program for caregivers of children with epilepsy: A feasibility study

Abstract

Purpose: This study aimed to develop and evaluate the feasibility of a theory-driven, web-based discharge education program designed to enhance self-management among caregivers of children with epilepsy. Methods: Following the Analyze, Design, Develop, Implement, and Evaluate (ADDIE) model, educational needs were assessed through an integrative literature review and focus group interviews with caregivers and pediatric nurses. The program was structured using the Include, Discuss, Educate, Assess, and Listen (IDEAL) discharge planning framework, and individual and family self-management theory. Results: The key features included self-assessment tools, pre-discharge questions, multimedia materials, health diaries, and Q&A boards. Content validity was reviewed by experts, usability tested with caregivers and professionals, and clinical feasibility examined using a one-group pretest-posttest design involving 13 caregivers. Participants reported high satisfaction with the clarity and accessibility of the content, with strongest engagement in the self-assessment and pre-discharge sections. Although changes in discharge readiness and selfmanagement scores were not statistically significant, moderate-to-large effect sizes suggested an increasing trend in practical improvement. Caregivers also reported improved confidence, medications awareness, and follow-up adherence. Feedback supported mobile-based delivery and highlighted the need for interactive and personalized features. Conclusions: The program is a feasible and accepted intervention that incorporates self-assessment into discharge education and leverages web-based delivery to support family centered care. Practice implications: The program addresses existing gaps in pediatric epilepsy education and shows potential for broader implementation. Integrating self-assessment and digital platforms into discharge education may enhance caregivers' preparedness and support sustainable self-management. (c) 2026 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.