Evidence map›Paper›PMID 33980228›Full record

ArticleHuman resources for health2021

Barriers and facilitators to online medical and nursing education during the COVID-19 pandemic: perspectives from international students from low- and middle-income countries and their teaching staff.

Wen Li, Robyn Gillies, Mingyu He, Changhao Wu, Shenjun Liu, Zheng Gong, Hong Sun

Abstract read
In one paragraph

Article in Human resources for health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
71citing papers in PubMed, 3 pooled it
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

71 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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11 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Wen LiSchool of International Education, Xuzhou Medical University, No. 209 of Tongshan Road, Yunlong, Xuzhou, 221004, China.
Robyn Gillies *School of Education, The University of Queensland, Brisbane, 4072, Australia.
Mingyu He *School of International Education, Xuzhou Medical University, No. 209 of Tongshan Road, Yunlong, Xuzhou, 221004, China.
Changhao Wu *School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, GU2 7XH, Surrey, UK.
Shenjun LiuSchool of International Education, Xuzhou Medical University, No. 209 of Tongshan Road, Yunlong, Xuzhou, 221004, China.
Zheng GongSchool of Public Affairs and Governance, Silliman University, 6200, Dumaguete, Philippines.
Hong SunSchool of International Education, Xuzhou Medical University, No. 209 of Tongshan Road, Yunlong, Xuzhou, 221004, China. sunh@xzhmu.edu.cn.ORCID 0000-0003-3858-4315

Funding

Xuzhou Medical University Xjy202009
6 · The paper itself

Abstract

backgroundThe COVID-19 pandemic posed a huge challenge to the education systems worldwide, forcing many countries to provisionally close educational institutions and deliver courses fully online. The aim of this study was to explore the quality of the online education in China for international medical and nursing students from low- and middle-income countries (LMICs) as well as the factors that influenced their satisfaction with online education during the COVID-19 pandemic.

methodsQuestionnaires were developed and administered to 316 international medical and nursing students and 120 teachers at a university in China. The Chi-square test was used to detect the influence of participants' personal characteristics on their satisfaction with online education. The Kruskal-Wallis rank-sum test was employed to identify the negative and positive factors influencing the online education satisfaction. A binary logistic regression model was performed for multiple-factor analysis to determine the association of the different categories of influential factors-crisis-, learner-, instructor-, and course-related categories, with the online education satisfaction.

resultsOverall, 230 students (response rate 72.8%) and 95 teachers (response rate 79.2%) completed the survey. It was found that 36.5% of students and 61.1% of teachers were satisfied with the online education. Teachers' professional title, students' year of study, continent of origin and location of current residence significantly influenced the online education satisfaction. The most influential barrier for students was the severity of the COVID-19 situation and for teachers it was the sense of distance. The most influential facilitating factor for students was a well-accomplished course assignment and for teachers it was the successful administration of the online courses.

conclusionsSeveral key factors have been identified that affected the attitudes of international health science students from LMICs and their teachers towards online education in China during the COVID-19 pandemic. To improve the online education outcome, medical schools are advised to promote the facilitating factors and cope with the barriers, by providing support for students and teaching faculties to deal with the anxiety caused by the pandemic, caring for the state of mind of in-China students away from home, maintaining the engagement of out-China students studying from afar and enhancing collaborations with overseas institutions to create practice opportunities at students' local places.

Indexed as

AttitudeCOVID-19Education, DistanceFacultyStudentsAdolescentAdultAttitude of Health PersonnelDeveloping CountriesEducation, MedicalEducation, NursingFaculty, MedicalFaculty, NursingFemaleHumansInternetAssessmentCOVID-19International medical studentsInternational nursing studentsLow- and middle-income countriesOnline learningSatisfaction

Identifiers

PMID33980228
PMCPMC8114664

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.