Readiness, barriers, and attitude of students towards online medical education amidst COVID-19 pandemic: A study among medical students of Ebonyi State University Abakaliki, Nigeria.

ABSTRACT

INTRODUCTION: The COVID-19 pandemic caused massive disruption to medical education in Nigeria, necessitating the call for online medical education in the country. This study assessed the readiness, barriers, and attitude of medical students of Ebonyi State University Abakaliki, Nigeria, to online medical education. METHODS: A cross-sectional study design was employed. All matriculated medical students of the university participated in the study. Information was obtained using a pre-tested, semi-structured questionnaire which was self-administered. Good attitude towards information and communication technology (ICT) based medical education was determined by the proportion of respondents correctly answering 60% of nine variables. Readiness for online classes was determined by the proportion of students who preferred either a combination of physical and online lectures or only online medical education amidst the COVID-19 pandemic. Chi-square test and multivariate analysis using binary logistic regression analysis were used in the study. A p-value of <0.05 determined the level of statistical significance. RESULTS: Four hundred and forty-three students participated in the study (response rate; 73.3%). The mean age of the students was 23.0±3.2 years. The majority of the respondents, 52.4%, were males. The students' most preferred sources for studying before the COVID-19 pandemic included textbooks, 55.1% and lecture notes, 19.0%. The commonly visited websites included Google, 75.2%, WhatsApp, 70.0% and YouTube, 59.1%. Less than half, 41.1%, have a functional laptop. The majority, 96.4%, have a functioning email address, while 33.2% participated in a webinar during the COVID-19 pandemic. Though 59.2% had a good attitude towards online medical education, only 56.0% expressed readiness for online medical education. The major barriers to online medical education included poor internet connectivity, 27.1%, poor e-learning infrastructure, 12.9% and students not having laptops, 8.6%. Predictors of readiness for online medical education included previous participation in a webinar, AOR = 2.1, (95%CI 1.3-3.2) and having a good attitude towards IT-based medical education, AOR = 3.5, (95%CI 2.3-5.2). CONCLUSIONS: The majority of the students showed readiness for online medical education. Lessons from COVID-19 pandemic necessitate the initiation of online medical education. University authorities should ensure that every enrolled medical student owns or have access to a dedicated laptop through a university-mediated arrangement. Adequate attention should be given to the development of e-learning infrastructure, including steady internet services within the confines of the university.