Evidence map›Paper›PMID 40175997›Full record

ArticleBMC medical education2025

The effect of prosocial modelling on medical students' professional identity in China: a PSM-DID analysis.

Dan Wang, Di Wang, Zehua Shi, Hongbin Wu

Abstract read
In one paragraph

Article in BMC medical education, 2025. 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

4 authors.

Dan WangSchool of Public Health / Institute of Medical Education, Peking University, No.38 Xueyuan Road, Haidian District, 100191, Beijing, China.ORCID http://orcid.org/0000-0003-1076-1658
Di WangCollege of Economics and Management, China Agricultural University, Beijing, China.
Zehua ShiSchool of Management, Beijing University of Chinese Medicine, Beijing, China.ORCID http://orcid.org/0000-0002-9605-6361
Hongbin WuInstitute of Medical Education, Peking University, 100191, No.38 Xueyuan Road, Haidian District, Beijing, China. wuhongbin@pku.edu.cn.ORCID http://orcid.org/0000-0002-4425-9845

Funding

National Natural Science Foundation of China 72174013
6 · The paper itself

Abstract

backgroundAlthough role models significantly impact medical students' professional identity, empirical evidence is relatively scarce, and our understanding of the mechanisms behind this influence is limited. Through the lens of prosocial modelling, we explored the effects of role models on medical students' professional identity and attempted to elucidate the underlying reasons.

methodsBy leveraging the varying number of personnel dispatched by various provinces across China to combat the COVID-19 pandemic, we established indicators for different intensities of prosocial modelling. Using data from the two years before and after the COVID-19 pandemic, we conducted a quasi-experimental study. Employing the propensity score matching difference-in-differences method, we explored the effects of prosocial modelling on medical students' professional identity.

resultsProsocial modelling significantly enhanced medical students' professional identity (β = 0.087, p < 0.01), and the effect remained significant even after controlling for economic factors and the pandemic's severity (β = 0.067, p < 0.001). Notably, prosocial modelling more significantly impacted the professional identity of female students, those under economic pressure, those uncertain about becoming doctors during high school, and those ranked in the bottom 50% academically.

conclusionsProsocial modeling enhances medical students' professional identity, especially among females, economically disadvantaged students, those initially hesitant about a medical career, and lower-performing students. This highlights the need for role models in medical education to prioritize support for these disadvantaged groups to foster professional identities.

Indexed as

COVID-19Social IdentificationStudents, MedicalAdultChinaFemaleHumansMalePandemicsSARS-CoV-2Young AdultCOVID-19Medical studentsProfessional identityProsocial modellingPSM-DID

Identifiers

PMID40175997
PMCPMC11966844

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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.