Mohanad Mohammed Sufyan Ghaleb
Department of Management, School of Business, King Faisal University, Al-Ahsa 31982, Saudi Arabia.
Abdisamat Sattarov
Finance and Tourism Department, Termez University of Economics and Service, Uzbekistan
urpose: This study investigates the interrelationships among telemedicine usability, electronic health literacy, self-efficacy for data interpretation, trust in AI-generated health advice, and telemedicine satisfaction. Specifically, it examines how telemedicine usability contributes to the development of electronic health literacy, how self-efficacy and trust function as moderating mechanisms, and how electronic health literacy mediates the relationship between system usability and satisfaction. The study aims to provide an integrative understanding of technological, cognitive, and attitudinal factors shaping user experiences in digital healthcare. Method: A quantitative, cross-sectional survey was conducted among 258 active telemedicine users. Established and validated measurement scales were employed to assess telemedicine usability, electronic health literacy, self-efficacy for data interpretation, trust in AI-generated health advice, and telemedicine satisfaction. The proposed research model was tested using Partial Least Squares Structural Equation Modeling (PLS-SEM), enabling the assessment of direct effects, moderating influences, and mediating pathways. Findings: The results demonstrate that telemedicine usability positively influences electronic health literacy, which in turn enhances telemedicine satisfaction. Self-efficacy for data interpretation strengthens the relationship between usability and electronic health literacy, indicating that confident users are better able to translate system quality into meaningful understanding. Trust in AI-generated health advice further amplifies the effect of electronic health literacy on satisfaction. Additionally, electronic health literacy serves as a key mediating mechanism through which telemedicine usability indirectly improves satisfaction outcomes. Originality/Implications: By integrating usability, literacy, self-efficacy, and trust within a single framework, this study advances theoretical models of telemedicine adoption and offers practical insights for designing user-centered, literacy-supportive, and trust-enhancing digital health systems.
