The internal medicine in-training examination (IM-ITE) has been traditionally used as a measuring tool to evaluate the base of knowledge of the residents in internal medicine residency programs across the US. Multiple interventions has been applied and studied to increase the first-time passing rate of ABIM, as it is an indicator of each residency program's performance and ranking. Additionally, studies have demonstrated that different learning styles and preferences are a predictor of exam results; however, it is not well known whether certain preferred learning styles are correlated with certain IM-ITE results. Primary objective of our study was to find a correlation between residents' preferred learning style, based on Kolb learning style inventory, and their PGY1 and PGY2 IM-ITE performance score difference. Secondary objective was to find the correlation between PGY2s' IM-ITE score and their preferred learning styles based on the Kolb learning style inventory. Mean scores of PGY1 and PGY2 IM-ITE were compared in each learning style group. Additionally, the mean difference between the PGY1 and PGY2 IM-ITE scores for each learning group was compared as well. The analysis of the mean IM-ITE score from PGY1 to PGY2 between groups revealed a statistically significant improvement in IM-ITE score from PGY1 to PGY2 in all groups, however, with a larger difference in one of the groups.
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http://dx.doi.org/10.1080/20009666.2021.1944018 | DOI Listing |
Seizure
January 2025
Peninsula School of medicine, University of Plymouth, Truro, United Kingdom; The Royal Wolverhampton NHS Trust, Wolverhampton, United Kingdom. Electronic address:
Background: Epilepsy is one of the commonest neurological conditions worldwide and confers a significant mortality risk, partly driven by status epilepticus (SE). Terminating SE is the goal of pharmaceutical rescue therapies. This survey evaluates UK-based healthcare professionals' clinical practice and experience in community-based rescue therapy prescribing.
View Article and Find Full Text PDFComput Methods Programs Biomed
January 2025
Christian Doppler Laboratory for Artificial Intelligence in Retina, Department of Ophthalmology and Optometry, Medical University of Vienna, Vienna, Austria; Institute of Artificial Intelligence, Center for Medical Data Science, Medical University of Vienna, Vienna, Austria.
Background And Objectives: Automated, anatomically coherent retinal layer segmentation in optical coherence tomography (OCT) is one of the most important components of retinal disease management. However, current methods rely on large amounts of labeled data, which can be difficult and expensive to obtain. In addition, these systems tend often propose anatomically impossible results, which undermines their clinical reliability.
View Article and Find Full Text PDFPLoS One
January 2025
Evidence-based Public Health, Centre for International Health Protection, Robert Koch Institute, Berlin, Germany.
Health system resilience is defined as the ability of a system to prepare, manage, and learn from shocks. This study investigates the resilience of the German health system by analysing the system-related factors that supported health care workers, a key building block of the system, during the COVID-19 pandemic. We thematically analysed data from 18 semi-structured interviews with key informants from management, policy and academia, 17 in-depth interviews with health care workers, and 10 focus group discussions with health care workers.
View Article and Find Full Text PDFSangyo Eiseigaku Zasshi
January 2025
Division of Occupational and Environmental Health, Department of Social Medicine, Shiga University of Medical Science.
Objectives: Assessing the risk of employee health problems according to firm characteristics (e.g., industry) can be used by companies to identify groups of workers with health problems and develop health-related policies.
View Article and Find Full Text PDFAm J Primatol
January 2025
Department of Anthropology, San Diego State University, San Diego, California, USA.
How group-living primates come to a consensus about navigating their environment is a result of their decision-making processes. Although decision-making has been examined in several primate taxa, it remains underexplored for primates living in anthropogenic landscapes. To shed light on consensus decision-making and flexibility in this process, we examined collective movement behavior in a group of wild moor macaques (Macaca maura) experiencing a risk-reward tradeoff as a result of roadside provisioning within Bantimurung Bulusaraung National Park in South Sulawesi, Indonesia.
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