Evidence map›Paper›PMID 41507912›Full record

ArticleBMC medical education2026

Community diagnosis as a transformative learning approach to enhance medical students' community orientation and understanding social determinant of health: a mixed-methods study.

Keisuke Hasebe, Kiyoshi Shikino, Kenjiro Kawaguchi, Kazuyo Yamauchi, Nobuyuki Araki, Naoto Ozaki, Shinya Aoki, Tokuro Mori, Daichi Sogai, Ai Murayama and 4 more

Abstract read
In one paragraph

Article in BMC medical education, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Keisuke HasebeDepartment of Community-Oriented Medical Education, Chiba University Graduate School of Medicine, Chiba, Japan. m11072kh@gmail.com.
Kiyoshi ShikinoDepartment of Community-Oriented Medical Education, Chiba University Graduate School of Medicine, Chiba, Japan.
Kenjiro KawaguchiDepartment of Social Preventive Medical Sciences, Center for Preventive Medical Sciences, Chiba University, Chiba, Japan.
Kazuyo YamauchiDepartment of Community-Oriented Medical Education, Chiba University Graduate School of Medicine, Chiba, Japan.
Nobuyuki ArakiDepartment of Community-Oriented Medical Education, Chiba University Graduate School of Medicine, Chiba, Japan.
Naoto OzakiDepartment of Community-Oriented Medical Education, Chiba University Graduate School of Medicine, Chiba, Japan.
Shinya AokiDepartment of Community-Oriented Medical Education, Chiba University Graduate School of Medicine, Chiba, Japan.
Tokuro MoriDepartment of Community-Oriented Medical Education, Chiba University Graduate School of Medicine, Chiba, Japan.
Daichi SogaiDepartment of Community-Oriented Medical Education, Chiba University Graduate School of Medicine, Chiba, Japan.
Ai MurayamaDepartment of Community-Oriented Medical Education, Chiba University Graduate School of Medicine, Chiba, Japan.
Satoshi YamadaDepartment of Community-Oriented Medical Education, Chiba University Graduate School of Medicine, Chiba, Japan.
Ryunosuke ShioyaJapan Agency for Gerontological Evaluation Study, Chiba, Japan.
Yasushi MatsuyamaMedical Education Center, Jichi Medical University, Tochigi, Japan.
Shoichi ItoDepartment of Community-Oriented Medical Education, Chiba University Graduate School of Medicine, Chiba, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe impact of community diagnosis as an educational strategy on the community orientation of medical students and their understanding of the social determinants of health (SDH) necessitates additional investigation. This study aimed to evaluate the effectiveness of an experiential community diagnosis program in improving the community orientation of medical students, along with their knowledge and attitudes toward SDH.

methodsA mixed-methods approach was employed, involving 14 medical students from a regional quota program participating in community diagnosis activities in a rural area from April to September, 2024. Quantitative assessments utilizing the rural self-efficacy scale and the Assessing Student Competence and Knowledge of Social Determinants of Health (ASCK-SDH) tool were conducted pre- and post-intervention and analyzed using the Wilcoxon signed-rank test. Qualitative data were collected through focus group interviews and analyzed using content analysis based on Fink's taxonomy.

resultsAll the participants completed the assessments. Significant improvements were observed in rural self-efficacy (pre: median, 45; IQR, 8; post: median, 52.5; IQR, 7; p = 0.001; effect size, 0.851) and ASCK-SDH scores (pre: median 26, IQR 4; post: median, 31; IQR, 1; p, 0.001; effect size, 0.856). The content analysis identified 15 categories and 64 subcategories as follows: Application (n = 20), Integration (n = 34), Human Dimension (n = 110), Caring (n = 8), and Learning How to Learn (n = 43). Among these, developing professional identity in community healthcare (n = 19) and fostering curiosity in community healthcare (n = 5) were the most frequent under Learning How to Learn and Caring, respectively.

conclusionsThe experiential community diagnosis program significantly enhanced the community orientation, understanding of SDH, and professional identity of the medical students. These findings support the broader integration of community diagnosis into medical education curricula to enhance student preparedness in addressing complex community health challenges.

Indexed as

Education, Medical, UndergraduateProblem-Based LearningSocial Determinants of HealthStudents, MedicalAdultFemaleFocus GroupsHealth Knowledge, Attitudes, PracticeHumansMaleRural PopulationSelf EfficacySocial GroupCommunity orientationMixed methodsProfessional identitySocial determinants of health

Identifiers

PMID41507912
PMCPMC12874914

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LicenceCC BY-NC-ND
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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.