Engagement in E-learning opportunities: an empirical study on patient education using expectation confirmation theory

J Med Syst. 2012 Jun;36(3):1697-706. doi: 10.1007/s10916-010-9630-9. Epub 2010 Nov 23.

Abstract

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.

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Child
  • Computer-Assisted Instruction*
  • Cross-Sectional Studies
  • Female
  • Humans
  • Male
  • Medical Informatics
  • Middle Aged
  • Models, Theoretical*
  • Patient Education as Topic / methods*
  • Taiwan
  • Young Adult