Background: Near-peer assisted learning (NPAL) is an increasingly important tool in medical education; however, although numerous published papers discuss its merits, the evidence on the effectiveness and student perception of NPAL is limited. We describe a novel near-peer question writing and teaching programme to assess whether it improves the confidence of first-year medical students for their first In-Course Assessment (ICA) in medical school. The evidence on the effectiveness and student perception of NPAL is limited METHODS: A team of medical students designed a question development procedure and a structured teaching programme. A total of 280 first-year medical students were invited to appraise the questions. A questionnaire assessing confidence and student perception was sent to participants at different time points leading up to and after their first ICA at the medical school. Statistical analysis was performed using spss 20.
Results: One hundred and seventy one students attempted the questions. Students felt more confident with short-answer questions (SAQs; 95% CI 1.5-2.0, p < 0.05) and multiple-choice questions (MCQs; 95% CI 1.0-1.5, p < 0.05), as assessed using the Wilcoxon signed-rank test. Overall, students were satisfied with the NPAL questions and teaching programme following their university examinations (p > 0.01).
Conclusion: The NPAL project highlighted a trend towards improving students' confidence. Furthermore, the question writing and teaching programme can be used as a guide to confidently hold teaching sessions in the future. The NPAL project further reinforces existing published papers that have shown NPAL to be a powerful adjunct to existing undergraduate medical education.
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http://dx.doi.org/10.1111/tct.12704 | DOI Listing |
JAMA Netw Open
January 2025
Li Ka Shing Knowledge Institute, St Michael's Hospital, Toronto, Ontario, Canada.
Importance: There have been limited evaluations of the patients treated at academic and community hospitals. Understanding differences between academic and community hospitals has relevance for the design of clinical models of care, remuneration for clinical services, and health professional training programs.
Objective: To evaluate differences in complexity and clinical outcomes between patients admitted to general medical wards at academic and community hospitals.
J Ethn Subst Abuse
January 2025
Centre of Research Excellence: Indigenous Sovereignty & Smoking, Auckland, New Zealand.
Maternal smoking increases adverse risks for both the mother's pregnancy and the unborn child and remains disproportionately high among some Indigenous peoples. Decreasing smoking among pregnant Indigenous women has been identified as a health priority in New Zealand because of wide inequities in smoking-related harms. Using pre- and post-intervention questionnaires, this feasibility study assessed the acceptability and potential efficacy of a novel cessation program designed for Indigenous women by Indigenous experts utilizing traditional knowledge and practice.
View Article and Find Full Text PDFDiscov Oncol
January 2025
Department of Breast Surgery, The First Affiliated Hospital of Harbin Medical University, No. 23, Youzheng Street, Nangang District, Harbin, 150001, China.
Cancer vaccines are promising as an effective means of stimulating the immune system to clear tumors as well as to establish immune surveillance. In this paper, we discuss the main platforms and current status of cancer vaccines and propose a new cancer vaccine platform, the cytosolic vesicle vaccine. This vaccine has a unique structure that can integrate antigen and adjuvant carriers to improve the delivery efficiency and immune activation ability, which brings new ideas for cancer vaccine design.
View Article and Find Full Text PDFEur Radiol Exp
January 2025
Computational Clinical Imaging Group (CCIG), Champalimaud Research, Champalimaud Foundation, Lisbon, Portugal.
Good practices in artificial intelligence (AI) model validation are key for achieving trustworthy AI. Within the cancer imaging domain, attracting the attention of clinical and technical AI enthusiasts, this work discusses current gaps in AI validation strategies, examining existing practices that are common or variable across technical groups (TGs) and clinical groups (CGs). The work is based on a set of structured questions encompassing several AI validation topics, addressed to professionals working in AI for medical imaging.
View Article and Find Full Text PDFJ Neurol
January 2025
Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, 610041, China.
Background: Tourette syndrome (TS) is a prevalent neurodevelopmental disorder with an uncertain etiology. Numerous neuroimaging studies have investigated patients with TS, but their conclusions remain inconsistent. The current study attempted to provide an unbiased statistical meta-analysis of published neuroimaging studies of TS.
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