Evidence map›Paper›PMID 39219793›Full record

ArticleFrontiers in medicine2024

Development and applications of graduate outcome-based curriculum for basic medical education.

Guang Chen, Hongmei Wang, Lingling Zhou, Jingjin Yang, Linglong Xu, Yong Liang

Abstract read
In one paragraph

Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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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

6 authors.

Guang ChenUndergraduate Teaching Office, School of Medicine, Taizhou University, Taizhou, Zhejiang, China.
Hongmei WangUndergraduate Teaching Office, School of Medicine, Taizhou University, Taizhou, Zhejiang, China.
Lingling ZhouUndergraduate Teaching Office, School of Medicine, Taizhou University, Taizhou, Zhejiang, China.
Jingjin YangUndergraduate Teaching Office, School of Medicine, Taizhou University, Taizhou, Zhejiang, China.
Linglong XuUndergraduate Teaching Office, Taizhou Central Hospital (Taizhou University Affiliated Hospital), Taizhou, Zhejiang, China.
Yong LiangUndergraduate Teaching Office, School of Medicine, Taizhou University, Taizhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Outcome-based education (OBE) leads to revolutionary change in medical education, but each medical school is acknowledged to develop suited framework based on specific positioning, educational philosophy and expected outcomes. Methods: Based on the graduate outcomes of basic medical education in China released by Working Committee for the Accreditation of Medical Education (WCAME) which officially recognized by World Federation for Medical Education (WFME), Taizhou University re-documented the overall organization of the curriculum and classified the courses as "Crucial, Supporting and Associated (CSA)" categories to connect the graduate outcomes and course objectives. Results: We redefined the standard for graduates in Taizhou University Medical School including 34 items in four domains and redesigned the curriculum with 76 courses classified as CSA. Empirical data reveals a substantial improvement in students' performance on Standardized Competence Test for Clinical Medicine Undergraduates in China (SCTCMU) by implementing the CSA system between 2022 and 2023. Notably, in 2023, Taizhou University's students achieved pass rates more than 20 percentage points higher than the national average, demonstrating a profound and unprecedented impact. Conclusion: The CSA classification system provides a notably clear and structured framework for categorizing courses based on their direct or indirect relevance to educational objectives, which provides clarity to educators and empowers students with a more purposeful approach to their studies.

Indexed as

Chinese medical education reformcurriculumgraduate outcome-based curriculummedical educationoutcome-based education

Identifiers

PMID39219793
PMCPMC11362034

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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.