Evidence map›Paper›PMID 33160361›Full record

ArticleBMC medical education2020

Perceptions of education quality and influence of language barrier: graduation survey of international medical students at four universities in China.

Wen Li, Chang Liu, Shenjun Liu, Xin Zhang, Rong-Gen Shi, Hailan Jiang, Yi Ling, Hong Sun

Abstract read
In one paragraph

Article in BMC medical education, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
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

18 citing papers in PubMed.

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  16. International student perceptions of online medical education during the COVID-19 epidemic.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology · 2022
    Article
  17. Depression among the Non-Native International Undergraduate Students Studying Dentistry in Bangladesh.International journal of environmental research and public health · 2021
    Article
  18. Article
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

8 authors.

Wen LiSchool of International Education, Xuzhou Medical University, No.209 of Tongshan Road, Yunlong District, Xuzhou, Jiangsu, China.
Chang LiuSchool of International Education, Xuzhou Medical University, No.209 of Tongshan Road, Yunlong District, Xuzhou, Jiangsu, China.
Shenjun LiuSchool of International Education, Xuzhou Medical University, No.209 of Tongshan Road, Yunlong District, Xuzhou, Jiangsu, China.
Xin ZhangSchool of literature, Dali University, Dali, China.
Rong-Gen ShiCollege of International Studies, Nanjing Medical University, Nanjing, China.
Hailan JiangSchool of International Education, Nanjing Medical University, Nanjing, China.
Yi LingDepartment of Obstetrics and Gynaecology, First Affiliated Hospital of Hainan Medical University, Haikou, China.
Hong SunSchool of International Education, Xuzhou Medical University, No.209 of Tongshan Road, Yunlong District, Xuzhou, Jiangsu, China. sunh@xzhmu.edu.cn.ORCID http://orcid.org/0000-0003-3858-4315

Funding

Philosophy and Social Sciences Fund Project of Jiangsu Provincial Department of Education 2018SJA0960
6 · The paper itself

Abstract

backgroundAs the number of Asian and African students studying medicine in China increases, it is imperative to evaluate the educational experiences of these international medical students (IMSs). This study was intended to investigate opinions of China-educated IMSs towards the medical curriculum and the impact of Chinese language capability on their clinical studies.

methodsA self-administered questionnaire was circulated to the final-year IMSs during the graduation time from May 2019 to July 2019 in 4 universities in China. The questionnaire asked IMSs to assess the quality of medical education and provide a self-evaluation of their Chinese language capability. One-way Analysis of Variance (ANOVA) was used to determine whether IMSs' Chinese language capability was associated with their clinical experiences and clinical competence.

resultsOverall, we received 209 valid responses, of which 76.1% were satisfied with the quality of medical education. Genetics, physics, and mathematics were perceived as the least relevant basic courses for medical practice, and 21.5% of student reported that community-oriented medicine was a neglected subject. Notably, 58.9% of students had positive views about discussions on ethical topics during their clerkships, and 71.3% believed they had acquired sufficient clinical skills to begin a residency program. Chinese speaking skills and communication initiatives were found to be critical factors in influencing students' clinical experiences and competence.

conclusionThis study presents the perceptions of China-educated IMSs towards medical curriculum from various aspects. Results show that language influences the education experiences of IMSs. Collectively, these results indicate that the curriculum for IMSs in China should be more problem-based and community-engaged to improve IMSs' learning experiences and preparation for community deployment. Furthermore, training curriculum for the oral Chinese should be improved to equip IMSs with sufficient language competence to enable them to efficiently carry out clinical clerkship and rotations. Our findings provide evidence for benchmarking medical curricular codifications tailored for Asian and African students.

Indexed as

Students, MedicalChinaCommunication BarriersCurriculumHumansPerceptionSurveys and QuestionnairesUniversitiesAfricaAsiaCurriculum evaluationGraduation questionnaireInternational medical studentLanguage barrierMedical education in ChinaStudents’ perceptions

Identifiers

PMID33160361
PMCPMC7648950

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.