Measuring system usage: implications for IS theory testing
Management Science
An e-Learning Caregiving Program for Prostate Cancer Patients and Family Members
Journal of Medical Systems
The Measurement of Web-Customer Satisfaction: An Expectation and Disconfirmation Approach
Information Systems Research
Assessing the Validity of IS Success Models: An Empirical Testand Theoretical Analysis
Information Systems Research
Can e-learning replace classroom learning?
Communications of the ACM - New architectures for financial services
An empirical investigation of decision-making satisfaction in web-based decision support systems
Decision Support Systems
Web Based Health Education, E-learning, for Weight Management
Journal of Medical Systems
Consumer behavior in online game communities: A motivational factor perspective
Computers in Human Behavior
A Knowledge Management Success Model: Theoretical Development and Empirical Validation
Journal of Management Information Systems
The DeLone and McLean Model of Information Systems Success: A Ten-Year Update
Journal of Management Information Systems
Assessing the Quality of a Web-based Learning System for Nurses
Journal of Medical Systems
Evaluating an online pharmaceutical education system for pharmacy interns in critical care settings
Computer Methods and Programs in Biomedicine
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Medical e-learning technology is widely employed to create an online platform for patients and healthcare providers alike. However, there are few studies that have investigated the reasons why some users reject e-learning technology usage after their initial experience. This study was conducted with the aim to better understand the factors leading to patients' continued usage of e-learning technologies. The theoretical foundation was based on the expectation-confirmation theory (ECT). The questionnaire survey was conducted during a two-month period and covered a total sample of 281 outpatients in a regional-teaching hospital. We found that the intention to continue e-learning usage was significantly related to patients' education level, expectation, perceived performance, confirmation and satisfaction. The use of this ECT model may provide administrators in the healthcare industry insights into the implementation of e-learning technologies. This research also opens up a new direction and enhances the completeness of related researches in the fields of medical informatics and health education.