Different modalities such as lectures, dissections, 3D models, and online learning are used for teaching anatomy. To date, online learning has been considered a useful additional didactic tool. This study aimed to compare veterinary students' performance in radiographic anatomy (radio-anatomy) after online or classroom-based teaching to assess the extent to which the two methods were interchangeable. Three strategies were compared in a cohort of 83 learners. Students were committed to online learning only, online learning with the use of specimen equine bones, or learning on conventional radiographs with specimen equine bones. At baseline (pre-test), scores from a mental rotation test and radio-anatomy knowledge test were similar between groups. After training (post-test), scores in mental rotation and radio-anatomy significantly increased by 6.7/40 units (95% CI: 5.2-8.2; < .001) and 5.1/20 units (95% CI: 4.3-5.9; < .001), respectively. There was no difference in scores for mental rotation and radio-anatomy knowledge between groups at post-test. Gender influenced the mental rotation, with men scoring significantly higher than women at pre-test ( = 23.0, = 8.8 vs. = 16.5, = 6.9; = .001) and post-test ( = 32.1, = 5.5 vs. = 22.7, = 8.6; < .001). However, radio-anatomy knowledge was not influenced by gender. These results suggest radio-anatomy teaching can be safely achieved with either conventional radiographs or online resources. This is of interest since, due to the COVID-19 outbreak, rapidly changing from on-site to online methods for teaching veterinary medical education proved necessary.
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http://dx.doi.org/10.3138/jvme-2021-0153 | DOI Listing |
BMC Public Health
January 2025
Institute of Public Health & Social Sciences (IPH&SS), Khyber Medical University (KMU), Peshawar, Pakistan.
Background: Vaccine hesitancy is a serious public health problem globally, particularly in low- and middle-income countries like Pakistan. This study aims to determine the vaccination refusal rate, associated factors and perceptions of parents who refused routine immunisation within Peshawar, Khyber Pakhtunkhwa, Pakistan.
Methods: A cross-sectional study conducted in July-2024, among 340 parents of children aged 0-59 months.
Sci Rep
January 2025
D. Y. Patil Agriculture and Technical University, Talsande, Maharashtra, India.
Indian agriculture is vital sector in the country's economy, providing employment and sustenance to millions of farmers. However, Plant diseases are a serious risk to crop yields and farmers' livelihoods. Traditional plant disease diagnosis methods rely heavily on human expertise, which can lead to inaccuracies due to the invisible nature of early disease symptoms and the labor-intensive process, making them inefficient for large-scale agricultural management.
View Article and Find Full Text PDFPsychiatr Clin North Am
March 2025
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University, Baltimore, MD, USA.
Mindfulness-based interventions have demonstrated efficacy for a wide range of clinical concerns and populations. Mindfulness-based Intervention for Tics (MBIT) is a recently developed brief, online group intervention for adults with tics. Preliminary evidence suggests that MBIT is feasible, acceptable, and safe.
View Article and Find Full Text PDFBMJ Open
January 2025
Cardiac Rehabilitation, University Hospitals Coventry and Warwickshire NHS Trust, Coventry, UK.
Background: This qualitative evaluation was embedded in the Rehabilitation Exercise and psycholoGical support After COVID-19 InfectioN (REGAIN) study, a randomised controlled trial (RCT) for those with post-COVID-19 condition ('long COVID') after hospital admission for COVID-19, comparing weekly home-based, live online supervised group exercise and psychological support sessions with 'best practice usual care' (a single session of advice).
Objective: To increase our understanding of how and why the REGAIN programme might have worked and what helped or hindered this intervention.
Design: A qualitative evaluation which utilised interviews with participants and practitioners delivering the intervention.
Bioinformatics
January 2025
Department of Bioscience and Bioinformatics, Faculty of Computer Science and Systems Engineering, Kyushu Institute of Technology, Iizuka, Fukuoka 820-8502, Japan.
Motivation: Identifying effective therapeutic targets poses a challenge in drug discovery, especially for uncharacterized diseases without known therapeutic targets (e.g. rare diseases, intractable diseases).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!