Exploring the significance of medical humanities in shaping internship performance: insights from curriculum categories.

IF 3.1 2区 医学 Q1 EDUCATION & EDUCATIONAL RESEARCH
Medical Education Online Pub Date : 2025-12-01 Epub Date: 2025-01-25 DOI:10.1080/10872981.2024.2444282
Chao Ting Chen, Anna Y Q Huang, Po-Hsun Hou, Ji-Yang Lin, His-Han Chen, Shiau-Shian Huang, Stephen J H Yang
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引用次数: 0

Abstract

Background: Medical Humanities (MH) curricula integrate humanities disciplines into medical education to nurture essential qualities in future physicians. However, the impact of MH on clinical competencies during formative training phases remains underexplored. This study aimed to determine the influence of MH curricula on internship performance.

Methods: The academic records of 1364 medical students across 8 years of admission cohorts were analyzed. Performance in basic sciences, clinical skills, MH, and internship rotations were investigated, including the subgroup analysis of MH curricula. Ten-fold cross-validation machine learning models (support vector machines, logistic regression, random forest) were performed to predict the internship grades. In addition, multiple variables regression was done to know the independent impact of MH on internship grades.

Results: MH showed the important roles in predicting internship performance in the machine learning model, with substantially reduced predictive accuracy after excluding MH variables (e.g. Area Under the Curve (AUC) declining from 0.781 to 0.742 in logistic regression). Multiple variables regression revealed that MH, after controlling for the scores of other subjects, has the highest odds ratio (OR: 1.29, p < 0.0001) on internship grades. MH explained 29.49% of the variance in internship grades as the primary variable in stepwise regression. In the subgroup analysis of MH curricula, Medical Sociology and Cultural Studies, as well as Communication Skills and Interpersonal Relationships, stood out with AUC values of 0.710 and 0.705, respectively, under logistic regression.

Conclusion: MH had the strongest predictive association with clinical competence during formative internship training, beyond basic medical sciences. Integrating humanities merits greater prioritization in medical curricula to nurture skilled, compassionate physicians. Further research should investigate the longitudinal impacts of humanities engagement.

探索医学人文学科在塑造实习表现中的意义:来自课程类别的见解。
背景:医学人文学科(MH)课程将人文学科融入医学教育,以培养未来医生的基本素质。然而,在形成性培训阶段,MH对临床能力的影响仍未得到充分探讨。本研究旨在确定MH课程对实习绩效的影响。方法:对8年招生队列中1364名医学生的学习成绩进行分析。在基础科学、临床技能、MH和实习轮转方面的表现进行了调查,包括MH课程的亚组分析。采用十倍交叉验证机器学习模型(支持向量机、逻辑回归、随机森林)预测实习成绩。此外,我们还进行了多变量回归,以了解MH对实习成绩的独立影响。结果:在机器学习模型中,MH在预测实习表现方面发挥了重要作用,在排除MH变量后(例如,在逻辑回归中,曲线下面积(AUC)从0.781下降到0.742),预测精度大大降低。多变量回归显示,在控制其他科目的得分后,MH的比值比最高(OR: 1.29, p)。结论:除了基础医学之外,MH与形成性实习训练期间的临床能力有最强的预测关联。整合人文学科值得在医学课程中更优先考虑,以培养熟练、富有同情心的医生。进一步的研究应该调查人文学科参与的纵向影响。
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来源期刊
Medical Education Online
Medical Education Online EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
6.00
自引率
2.20%
发文量
97
审稿时长
8 weeks
期刊介绍: Medical Education Online is an open access journal of health care education, publishing peer-reviewed research, perspectives, reviews, and early documentation of new ideas and trends. Medical Education Online aims to disseminate information on the education and training of physicians and other health care professionals. Manuscripts may address any aspect of health care education and training, including, but not limited to: -Basic science education -Clinical science education -Residency education -Learning theory -Problem-based learning (PBL) -Curriculum development -Research design and statistics -Measurement and evaluation -Faculty development -Informatics/web
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