Evidence map›Paper›PMID 40904445›Full record

ArticleJournal of general and family medicine2025

Core competencies of rural practice for medical students of government-sponsored medical education programs in Taiwan: The students' perspective.

Shih-Ming Li, Hang-Rui Zhang, Hsin-Yun Chang, Cheng-Loong Liang, Wang-Huei Sheng, Tsung-Ying Chen, Wen-Yuan Lin, Zih-Jie Sun, Jin-Shang Wu

Abstract read
In one paragraph

Article in Journal of general and family medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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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

2 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

9 authors.

Shih-Ming LiDepartment of Counseling and Clinical Psychology National Dong Hwa University Hualien Taiwan.ORCID https://orcid.org/0000-0002-7420-6808
Hang-Rui ZhangDepartment of Counseling and Clinical Psychology National Dong Hwa University Hualien Taiwan.
Hsin-Yun ChangDepartment of Family Medicine, National Cheng Kung University Hospital, College of Medicine National Cheng Kung University Tainan Taiwan.
Cheng-Loong LiangSchool of Medicine I-Shou University Kaohsiung Taiwan.
Wang-Huei ShengSchool of Medicine National Taiwan University College of Medicine Taipei City Taiwan.
Tsung-Ying ChenDepartment of Anesthesiology, Hualien Tzu Chi Hospital Buddhist Tzu Chi Medical Foundation/School of Medicine, Tzu Chi University Hualien Taiwan.
Wen-Yuan LinDepartment of Family Medicine, China Medical University Hospital China Medical University Taichung Taiwan.
Zih-Jie SunDepartment of Family Medicine, National Cheng Kung University Hospital, College of Medicine National Cheng Kung University Tainan Taiwan.
Jin-Shang WuDepartment of Family Medicine, National Cheng Kung University Hospital, College of Medicine National Cheng Kung University Tainan Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The shortage of rural physicians remains a public health concern. Placing medical students in rural areas and exposing them to rural physicians as models may enhance physician retention in rural areas. The purpose of this study was to explore the core competencies of medical students for rural practice and develop a framework of such competencies. Methods: A three-stage mixed method was used to develop the core competencies of medical students who will engage in rural practice. In the exploring stage, four physicians completed in-depth interviews; eight students participated in the focus group to identify the core competencies. In the construct stage, two students were interviewed individually and four students as a group to construct the framework. Finally, the competencies were validated by experts in the verification stage. In addition, the analytic hierarchy process was used. Results: After thematic analysis, three themes- Conclusions: Although some competencies vary across professional stages, the ABC model-adaptation, befriending, and career-is the competencies essential for medical students preparing to practice in rural areas.

Indexed as

ABC modelcore competencyrural area

Identifiers

PMID40904445
PMCPMC12404174

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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.