Objectives: National selection for higher surgical specialty training (HST) in the UK is a high-stakes gatekeeping assessment. If barriers, such as differential attainment, exist at HST selection for some groups and not others, then this will have a significant and lasting impact on trainees' career progression and the diversity of the workforce, which should reflect the population it provides care for. The objective of this study was to characterise the relationship between candidate sociodemographic factors and performance at National Selection for HST in the UK.
Design: A retrospective cohort study.
Setting: National Selection for HST in the UK.
Participants: All UK graduates in the UKMED database (https://www.ukmed.ac.uk) who underwent selection for HST from 2012 to 2019.
Outcomes And Measures: Performance at HST Selection for each surgical specialty is measured by assessment of the candidate's academic portfolio and multiple objective structured clinical examination style stations testing knowledge and skills. Univariate analysis identified differences in success rates at first application. Logistic regression models identified sociodemographic predictors of success after adjusting for prior academic attainment (Membership of the Royal College of Surgeons (MRCS) performance).
Results: Of all applications to HST (n=2875), 66.5% were successful at the first attempt. Females were 32% more likely than males to be successful at selection for HST (OR 1.32 (95% CI 1.05 to 1.67)). MRCS performance was found to be a strong independent predictor of future success at HST selection. Females were more likely to be successful at general surgery selection (OR 2.69 (95% CI 1.63 to 4.45)), older candidates (graduates) were less likely to be successful at ENT selection (OR 0.21 (95% CI 0.05 to 0.95)), and candidates that were the first in their family to attend University were less likely to be successful at urology selection (OR 0.41 (95% CI 0.21 to 0.78)).
Conclusions: Our findings highlight few statistically significant associations and no consistent patterns between sociodemographic factors and performance at HST selection once we adjusted for prior academic attainment. This suggests that differences in performance on selection into HST may be more likely due to individual rather than group-level differences.
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Objectives: National selection for higher surgical specialty training (HST) in the UK is a high-stakes gatekeeping assessment. If barriers, such as differential attainment, exist at HST selection for some groups and not others, then this will have a significant and lasting impact on trainees' career progression and the diversity of the workforce, which should reflect the population it provides care for. The objective of this study was to characterise the relationship between candidate sociodemographic factors and performance at National Selection for HST in the UK.
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January 2025
Computational Learning Theory Team, RIKEN-Advanced Intelligence Project, Fukuoka, 819-0395, Japan.
Providing continuous wireless connectivity for high-speed trains (HSTs) is challenging due to their high speeds, making installing numerous ground base stations (BSs) along the HST route an expensive solution, particularly in rural and wilderness areas. This paper proposes using multiple unmanned aerial vehicles (UAVs) to deliver high data rate wireless connectivity for HSTs, taking advantage of their ability to fly, hover, and maneuver at low altitudes. However, autonomously selecting the optimal UAV by the HST is challenging.
View Article and Find Full Text PDFInt J Med Inform
December 2024
Department of Health Science and Technology, Aalborg University, Aalborg, Denmark; Data Science, Novo Nordisk A/S, Søborg, Denmark. Electronic address:
Introduction: Optimal basal insulin titration for people with type 2 diabetes is vital to effectively reducing the risk of complications. However, a sizeable proportion of people (30-50 %) remain in suboptimal glycemic control six months post-initiation of basal insulin. This indicates a clear need for novel titration methods that account for individual patient variability in real-world settings.
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January 2025
Department of Health Science and Technology, Faculty of Medicine, Aalborg University, 9260 Gistrup, Denmark; Department of Physiotherapy, University College of Northern Denmark, 9220 Aalborg East, Denmark. Electronic address:
Vet Res Commun
November 2024
Health Science and Technologies Interdepartmental Center for Industrial Research (HST-ICIR), University of Bologna, Bologna, Italy.
Background- Subclinical electrophysiological derangements occur at birth in foals. Smartphone-based ECG (spECG) is practical tools to assess heart rhythm and was recently validated in foals. Objectives-To assess the heart rate (HR) and rhythm at birth in clinically healthy foals born after spontaneous and induced parturition using a spECG.
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