Chin Xuan Tan, Shu Chyi Wong, Seok Shin Tan, Seok Tyug Tan
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引用次数: 0
Abstract
Background: The coronavirus disease 2019 (COVID-19) pandemic paralyzes the education sector. To minimize the interruption of teaching and learning, most universities in Malaysia shifted to virtual mode during this unprecedented period of the pandemic. With an ever-increasing number of Malaysians fully vaccinated against COVID-19, the education system is expected to switch back to face-to-face mode this year. It is crucial to assess the knowledge, attitudes, and practices (KAP) of COVID-19 among emergency remote learning undergraduates before reverting to physical teaching and learning. Hence, a study was conducted with this aim in mind.
Methods: A total of 299 Malaysian undergraduates were recruited through a snowball sampling approach. The online questionnaire encompassed three main segments: informed consent, sociodemographic information, and KAP questions on COVID-19.
Results: The mean scores for knowledge, attitude, and practice were 4.05/6, 11.14/12, and 5.07/7, respectively. The results of the present study showed that year 1 respondents had significantly higher levels (p < 0.05) of KAP scores than year 4 respondents. In addition, the attitude score of science majors respondents was significantly greater (p < 0.05) than those of nonscience majors. The KAP scores showed no significant difference among groups with different sexes, ethnicities, and COVID-19 histories. Partial correlation analysis revealed that the overall knowledge score was positively correlated with attitude (r = 0.193, p = 0.001) and practice (r = 0.343, p < 0.001) scores whereas the total attitude score was positively correlated with the total practice score (r = 0.149, p = 0.010).
Conclusion: Our current results suggest that COVID-19 workshops, seminars, or training programs for year 4 students could be conducted to enhance their KAP levels.
期刊介绍：
Discover Social Science and Health is an interdisciplinary, international journal that publishes papers at the intersection of the social and biomedical sciences. Papers should integrate, in both theory and measures, a social perspective (reflecting anthropology, criminology, economics, epidemiology, policy, sociology, etc) and a concern for health (mental and physical). Health, broadly construed, includes biological and other indicators of overall health, symptoms, diseases, diagnoses, treatments, treatment adherence, and related concerns. Drawing on diverse, sound methodologies, submissions may include reports of new empirical findings (including important null findings) and replications, reviews and perspectives that construe prior research and discuss future research agendas, methodological research (including the evaluation of measures, samples, and modeling strategies), and short or long commentaries on topics of wide interest. All submissions should include statements of significance with respect to health and future research. Discover Social Science and Health is an Open Access journal that supports the pre-registration of studies.
Topics
Papers suitable for Discover Social Science and Health will include both social and biomedical theory and data. Illustrative examples of themes include race/ethnicity, sex/gender, socioeconomic, geographic, and other social disparities in health; migration and health; spatial distribution of risk factors and access to healthcare; health and social relationships; interactional processes in healthcare, treatments, and outcomes; life course patterns of health and treatment regimens; cross-national patterns in health and health policies; characteristics of communities and neighborhoods and health; social networks and treatment adherence; stigma and disease progression; methodological studies including psychometric properties of measures frequently used in health research; and commentary and analysis of key concepts, theories, and methods in studies of social science and biomedicine. The journal welcomes submissions that draw on biomarkers of health, genetically-informed and neuroimaging data, psychophysiological measures, and other forms of data that describe physical and mental health, access to health care, treatment, and related constructs.
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