Exploring the significance of medical humanities in shaping internship performance: insights from curriculum categories
| Title: | Exploring the significance of medical humanities in shaping internship performance: insights from curriculum categories |
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| Authors: | Chao Ting Chen, Anna Y.Q. Huang, Po-Hsun Hou, Ji-Yang Lin, His-Han Chen, Shiau-Shian Huang, Stephen J. H. Yang |
| Source: | Medical Education Online, Vol 30, Iss 1 (2025) |
| Publisher Information: | Taylor & Francis Group, 2025. |
| Publication Year: | 2025 |
| Collection: | LCC:Special aspects of education LCC:Medicine (General) |
| Subject Terms: | Medical humanities, medical education, internship performance, machine learning regression, multiple logistic regression, Special aspects of education, LC8-6691, Medicine (General), R5-920 |
| More Details: | 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 |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 10872981 1087-2981 |
| Relation: | https://doaj.org/toc/1087-2981 |
| DOI: | 10.1080/10872981.2024.2444282 |
| Access URL: | https://doaj.org/article/aba472ffc70545df9277c0cc6c0a0b75 |
| Accession Number: | edsdoj.ba472ffc70545df9277c0cc6c0a0b75 |
| Database: | Directory of Open Access Journals |
| ISSN: | 10872981 |
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| DOI: | 10.1080/10872981.2024.2444282 |
| Published in: | Medical Education Online |
| Language: | English |