Evidence map›Paper›PMID 42021222›Full record

ArticleBMC medical education2026

Effectiveness of simulation-based training on child abuse recognition for clerkship students and residents.

Kuan-Miao Lin, Yun-Hsuan Yang, Chun-Yu Chen, Chi-Ying Wu, Han-Ping Wu

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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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Kuan-Miao LinDepartment of Pediatrics, Chiayi Chang Gung Memorial Hospital, No. 6, W. Sec., Jiapu Rd., Puzi City, Chiayi County, Taiwan.
Yun-Hsuan YangDepartment of Pediatrics, Chiayi Chang Gung Memorial Hospital, No. 6, W. Sec., Jiapu Rd., Puzi City, Chiayi County, Taiwan.
Chun-Yu ChenDepartment of Emergency Medicine, Tungs' Taichung MetroHarbor Hospital, DNo. 699, Section 8, Taiwan Boulevard, Wuqi District, Taichung City, 435403, Taiwan.
Chi-Ying WuDepartment of Emergency Medicine, Tungs' Taichung MetroHarbor Hospital, DNo. 699, Section 8, Taiwan Boulevard, Wuqi District, Taichung City, 435403, Taiwan. diarrheasoft@gmail.com.
Han-Ping WuDepartment of Pediatrics, Chiayi Chang Gung Memorial Hospital, No. 6, W. Sec., Jiapu Rd., Puzi City, Chiayi County, Taiwan. arthur1226@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChild abuse is an important global public health issue, and early warning signs are often overlooked by clinical healthcare providers because of their limited experience. Injuries such as abusive head trauma (AHT), bruising, burns, and fractures are common and highly suggestive indicators of child abuse. Therefore, it is essential to improve healthcare providers’ ability to recognize abusive injuries. To compare the learning outcomes of clerkship students and resident physicians after participating in a training course on recognizing child abuse–related injuries, and to evaluate improvements in knowledge and diagnostic accuracy across different training levels.

methodsA pre- and post-test design was adopted using multiple-choice questions and simulation-based skill assessments to evaluate learning effectiveness. This study was conducted as part of a clinical physician training program at a single medical center. There were 26 participants, including 18 clerkship students and eight resident physicians. None of the participants had previously undergone high-fidelity simulation-based training on child abuse. The curriculum consisted of two major modules: (1) abusive head trauma and (2) bruising, burns, and fractures. Participants rotated through the modules. The pre- and post-course assessments were conducted using multiple-choice examinations.

resultsBoth clerkship students and resident physicians demonstrated significant improvements in overall post-test scores (p < 0.05). Clerkship students showed significant gains in the bruising/burn/fracture module, composite question set, and fracture-related items, whereas residents showed significant improvements primarily in bruising-related questions. Significant improvement in AHT-related items was observed only in clerkship students. Residents displayed smaller learning gains, likely because of higher baseline scores from prior clinical experience.

conclusionsThe training program effectively enhanced the ability of clerkship students and resident physicians to recognize abusive injuries in children, with notable improvements among less-experienced clerkship students. These findings suggest that early educational intervention strengthens clinicians’ sensitivity and accuracy in identifying common abusive injuries, and represents an important strategy for improving child protection in clinical practice.

Indexed as

Child AbuseClinical ClerkshipClinical CompetenceInternship and ResidencySimulation TrainingChildCurriculumEducational MeasurementFemaleHumansMaleStudents, MedicalAbusive head traumaChild abuseInjury recognitionMedical educationSimulation

Identifiers

PMID42021222
PMCPMC13235126

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