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1.
Surgeon ; 22(3): 138-142, 2024 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-38368193

RESUMO

BACKGROUND: The Intercollegiate Membership of the Royal College of Surgeons (MRCS) examination is a mandatory requirement for higher specialty surgical training in the UK. However, there is a significant economic impact on trainees which raises the question of whether the costs of this exam hinder surgical career progression. This study explores the burden of these exams on trainees. METHODS: A 37-point questionnaire was distributed to all trainees who were preparing for or have sat MRCS examinations. Univariate analyses included the cost of the preparatory resources, extra hours worked to pay for these and the examinations, and the number of annual leave (AL) days taken to prepare. Pearson correlation coefficients were used to identify possible correlation between monetary expenditure and success rate. RESULTS: On average, trainees (n â€‹= â€‹145) spent £332.54, worked 31.2 â€‹h in addition to their rostered hours, and used 5.8 AL days to prepare for MRCS Part A. For MRCS Part B/ENT, trainees spent on average £682.92, worked 41.7 extra hours, and used 5 AL days. Overall, the average trainee spent 5-9% of their salary and one-fifth of their AL allowance to prepare for the exams. There was a positive correlation between number of attempts and monetary expenditure on Part A preparation (r(109)=0.536, p â€‹< â€‹0.001). CONCLUSIONS: There is a considerable financial and social toll of the MRCS examination on trainees. Reducing this is crucial to tackle workforce challenges that include trainee retention and burnout. Further studies exploring study habits can help reform study budget policies to ease this pressure on trainees.


Assuntos
Avaliação Educacional , Humanos , Reino Unido , Inquéritos e Questionários , Educação de Pós-Graduação em Medicina/economia , Masculino , Feminino , Cirurgia Geral/educação , Cirurgiões/economia , Sociedades Médicas , Adulto , Especialidades Cirúrgicas/economia , Salários e Benefícios
2.
PLoS One ; 10(5): e0127914, 2015.
Artigo em Inglês | MEDLINE | ID: mdl-26000792

RESUMO

PURPOSE: To assess the suitability of retinal images held in the UK Biobank--the largest retinal data repository in a prospective population-based cohort--for computer assisted vascular morphometry, generating measures that are commonly investigated as candidate biomarkers of systemic disease. METHODS: Non-mydriatic fundus images from both eyes of 2,690 participants--people with a self-reported history of myocardial infarction (n=1,345) and a matched control group (n=1,345)--were analysed using VAMPIRE software. These images were drawn from those of 68,554 UK Biobank participants who underwent retinal imaging at recruitment. Four operators were trained in the use of the software to measure retinal vascular tortuosity and bifurcation geometry. RESULTS: Total operator time was approximately 360 hours (4 minutes per image). 2,252 (84%) of participants had at least one image of sufficient quality for the software to process, i.e. there was sufficient detection of retinal vessels in the image by the software to attempt the measurement of the target parameters. 1,604 (60%) of participants had an image of at least one eye that was adequately analysed by the software, i.e. the measurement protocol was successfully completed. Increasing age was associated with a reduced proportion of images that could be processed (p=0.0004) and analysed (p<0.0001). Cases exhibited more acute arteriolar branching angles (p=0.02) as well as lower arteriolar and venular tortuosity (p<0.0001). CONCLUSIONS: A proportion of the retinal images in UK Biobank are of insufficient quality for automated analysis. However, the large size of the UK Biobank means that tens of thousands of images are available and suitable for computational analysis. Parametric information measured from the retinas of participants with suspected cardiovascular disease was significantly different to that measured from a matched control group.


Assuntos
Processamento de Imagem Assistida por Computador/métodos , Doenças Retinianas/diagnóstico , Vasos Retinianos/patologia , Adulto , Idoso , Bases de Dados Factuais , Feminino , Fundo de Olho , Humanos , Masculino , Pessoa de Meia-Idade , Software
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