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Background: Self-directed learning is the cornerstone of adult learning. The aim of the study was to investigate the improvement of core competency and increase interest to be a surgeon among medical students after a perioperative training through a structured learning with written record model. The mediating role of adult learning pattern on core competency was also examined.
Methods: A 2-week training protocol was based on a structural learning model which included a structured written record by the learner for postoperative immediate feedback. An adult learning questionnaire (ALQ) was developed to assess learners' adult learning pattern and a clinical core competency questionnaire (CCCQ) was developed to assess learning outcomes. A two-way repeated measured of ANCOVA would be used to analyze the interaction effect of adult learning pattern and learning effect on learning outcomes.
Results: From Jan 2017 to Dec 2019, 412 medical students were enrolled in the study. The increase scores of CCCQ and a significant numbers of increase interest to be a surgeon were shown after the perioperative training. Two-way repeated measure ANOVA revealed that there were significant differences in change between pre- and post-CCCQ across four levels of ALQ (interaction effect F = 13.0, p <0.001). The more adult learning patterns medical students own, the more they will benefit from the training.
Conclusions: The structural learning with written record model provides an effective perioperative training represented with clinical core competency and increase the interest to be a surgeon in the future. Medical students with tendency of adult learning pattern would learn better.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8786157 | PMC |
http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0262872 | PLOS |
Hum Brain Mapp
September 2025
Department of Neurosurgery, Heidelberg University Hospital, Heidelberg, Germany.
Postoperative aphasia (POA) is a common complication in patients undergoing surgery for language-eloquent lesions. This study aimed to enhance the prediction of POA by leveraging preoperative navigated transcranial magnetic stimulation (nTMS) language mapping and diffusion tensor imaging (DTI)-based tractography, incorporating deep learning (DL) algorithms. One hundred patients with left-hemispheric lesions were retrospectively enrolled (43 developed postoperative aphasia, as the POA group; 57 did not, as the non-aphasia (NA) group).
View Article and Find Full Text PDFNurs Open
September 2025
Department of Nursing, Central Taiwan University of Science and Technology, Taichung City, Taiwan.
Aim: To explore nursing students' satisfaction levels of each specific item and perceptions under the unprecedented abrupt online clinical practicum during the COVID-19 pandemic.
Design: A mixed-method design comprises a questionnaire and qualitative content analysis.
Methods: The study used purposive sampling using data from nursing students in grade 3 of a 4-year bachelor RN programme at a technological university in the north of Taiwan, compiled from May 2021 to June 2021 using an online questionnaire.
BMC Med Educ
September 2025
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, 171 77, Sweden.
Background: Health professions students may encounter a range of stressors during their clinical education that may impact their quality of life. This study aimed to explore how various health professions students perceive their quality of life and the environment in which they develop their clinical skills.
Methods: An online survey was administered among registered undergraduate students in the physiotherapy, speech-language pathology, nursing, or medical programs.
J Imaging Inform Med
September 2025
Department of Biomedical Engineering, Gachon University, Seongnam-Si 13120, Gyeonggi-Do, Republic of Korea.
To develop and validate a deep-learning-based algorithm for automatic identification of anatomical landmarks and calculating femoral and tibial version angles (FTT angles) on lower-extremity CT scans. In this IRB-approved, retrospective study, lower-extremity CT scans from 270 adult patients (median age, 69 years; female to male ratio, 235:35) were analyzed. CT data were preprocessed using contrast-limited adaptive histogram equalization and RGB superposition to enhance tissue boundary distinction.
View Article and Find Full Text PDFRen Fail
December 2025
Department of Critical Care Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, China.
This study aimed to develop a predictive model and construct a graded nomogram to estimate the risk of severe acute kidney injury (AKI) in patients without preexisting kidney dysfunction undergoing liver transplantation (LT). Patients undergoing LT between January 2022 and June 2023 were prospectively screened. Severe AKI was defined as Kidney Disease: Improving Global Outcomes stage 3.
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