Background: Community-based learning connects students with local communities so that they learn about the broad context in which health and social care is provided; however, students usually interact with only one or a few organisations that serve a particular population. One example of a community-based learning activity is the health fair in which students provide health promotion and screening for local communities.
Context: We adapted the health fair concept to develop a multi-professional educational event at which, instead of providing service, students learn from and about the expertise and resources of not-for-profit organisations.
Innovation: The fair is an annual 1-day event that students can attend between, or in place of, classes. Each community organisation has a booth to display information. One-hour 'patient panels' are held on a variety of topics throughout the day. Evaluation methods include questionnaires, exit interviews and visitor tracking sheets. Over 5 years (2009-2013), the fair increased in size with respect to estimated attendance, number of participating organisations, number of patient panels and number of students for whom the fair is a required curriculum component. Students learn about a range of patient experiences and community resources, and information about specific diseases or conditions.
Implications: The fair is an efficient way for students to learn about a range of community organisations. It fosters university-community engagement through continuing connections between students, faculty members and community organisations. Lessons learned include the need for community organisations to have techniques to engage students, and ways to overcome challenges of evaluating an informal 'drop-in' event. The fair is an efficient way for students to learn about a range of community organisations.
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http://dx.doi.org/10.1111/tct.12285 | DOI Listing |
Med Phys
January 2025
Department of Oncology, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Background: Kidney tumors, common in the urinary system, have widely varying survival rates post-surgery. Current prognostic methods rely on invasive biopsies, highlighting the need for non-invasive, accurate prediction models to assist in clinical decision-making.
Purpose: This study aimed to construct a K-means clustering algorithm enhanced by Transformer-based feature transformation to predict the overall survival rate of patients after kidney tumor resection and provide an interpretability analysis of the model to assist in clinical decision-making.
Adv Physiol Educ
January 2025
Department of Physiology, Government medical college and hospital, Sector 32 Chandigarh, India.
This research focuses on Generation Z (Gen Z) students, specifically those in nursing colleges. Gen Z individuals display unique characteristics in terms of thinking, personality, lifestyle, and learning preferences compared to preceding generations, necessitating adaptations in teaching methodologies within nursing schools. This study explores the effectiveness of the Jigsaw Technique (JST) in engaging first-year undergraduate nursing students in learning process.
View Article and Find Full Text PDFEur J Dent Educ
January 2025
QU Health College of Dental Medicine, Qatar University, Doha, Qatar.
Aims: This study aimed to evaluate the impact of community-based dental education (CBDE) on the learning experiences of undergraduate dental students and recent dental graduates from two diverse geographical regions.
Methods: The study followed a cross-sectional design, conducted online using Google Forms, with ethical approval from Qatar University. A non-probability purposive sampling method was used to recruit dental students and recent graduates from three institutions in India and one in Qatar.
Sci Rep
January 2025
School of Air Traffic Management, Civil Aviation Flight University of China, Guanghan, 618300, China.
To address the challenges of high computational complexity and poor real-time performance in binocular vision-based Unmanned Aerial Vehicle (UAV) formation flight, this paper introduces a UAV localization algorithm based on a lightweight object detection model. Firstly, we optimized the YOLOv5s model using lightweight design principles, resulting in Yolo-SGN. This model achieves a 65.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Oral Biology, University of Health Sciences, Lahore, Pakistan.
Studies around the world have reported that dental students experience higher stress compared to medical students. Prolonged and high perceived stress can be of a significant concern as it affects the personal, psychological, and professional well-being of the student, affecting quality of life. The aim of the study was to describe the perceived stress and coping strategies that undergraduate students at dental schools of Lahore, Pakistan employ.
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