scholarly journals Time Out of General Surgery Specialty Training in the UK: A National Database Study

2019 ◽  
Vol 76 (1) ◽  
pp. 55-64
Author(s):  
Elizabeth J. Elsey ◽  
Joe West ◽  
Gareth Griffiths ◽  
David J Humes

BMJ Open ◽  
2019 ◽  
Vol 9 (11) ◽  
pp. e032021 ◽  
Author(s):  
Jennifer Cleland ◽  
Gordon Prescott ◽  
Kim Walker ◽  
Peter Johnston ◽  
Ben Kumwenda

IntroductionKnowledge about the career decisions of doctors in relation to specialty (residency) training is essential in terms of UK workforce planning. However, little is known about which doctors elect to progress directly from Foundation Year 2 (F2) into core/specialty/general practice training and those who instead opt for an alternative next career step.ObjectiveTo identify if there were any individual differences between these two groups of doctors.DesignThis was a longitudinal, cohort study of ‘home’ students who graduated from UK medical schools between 2010 and 2015 and completed the Foundation Programme (FP) between 2012 and 2017.We used the UK Medical Education Database (UKMED) to access linked data from different sources, including medical school performance, specialty training applications and career preferences. Multivariable regression analyses were used to predict the odds of taking time out of training based on various sociodemographic factors.Results18 380/38 905 (47.2%) of F2 doctors applied for, and accepted, a training post offer immediately after completing F2. The most common pattern for doctors taking time out of the training pathway after FP was to have a 1-year (7155: 38.8%) or a 2-year break (2605: 14.0%) from training. The odds of not proceeding directly into core or specialty training were higher for those who were male, white, entered medical school as (high) school leavers and whose parents were educated to degree level. Doctors from areas of low participation in higher education were significantly (0.001) more likely to proceed directly into core or specialty training.ConclusionThe results show that UK doctors from higher socioeconomic groups are less likely to choose to progress directly from the FP into specialty training. The data suggest that widening access and encouraging more socioeconomic diversity in our medical students may be helpful in terms of attracting F2s into core/specialty training posts.





2014 ◽  
Vol 28 (5) ◽  
pp. 598-604 ◽  
Author(s):  
Hany Aly ◽  
Heather Hoffman ◽  
Mohamed El-Dib ◽  
Lujain Said ◽  
Mohamed Mohamed






2015 ◽  
Vol 8 (1) ◽  
pp. 83-112 ◽  
Author(s):  
V. D. J. Keller ◽  
M. Tanguy ◽  
I. Prosdocimi ◽  
J. A. Terry ◽  
O. Hitt ◽  
...  

Abstract. The Centre for Ecology & Hydrology – Gridded Estimates of Areal Rainfall (CEH-GEAR) dataset was developed to provide reliable 1 km gridded estimates of daily and monthly rainfall for Great Britain (GB) and Northern Ireland (NI) (together with approximately 3500 km2 of catchment in the Republic of Ireland) from 1890 onwards. The dataset was primarily required to support hydrological modelling. The rainfall estimates are derived from the Met Office collated historical weather observations for the UK which include a national database of raingauge observations. The natural neighbour interpolation methodology, including a normalisation step based on average annual rainfall, was used to generate the daily and monthly rainfall grids. To derive the monthly estimates, rainfall totals from monthly and daily (when complete month available) read raingauges were used in order to obtain maximum information from the raingauge network. The daily grids were adjusted so that the monthly grids are fully consistent with the daily grids. The CEH-GEAR dataset was developed according to the guidance provided by the British Standards Institution. The CEH-GEAR dataset contains 1 km grids of daily and monthly rainfall estimates for GB and NI for the period 1890–2012. For each day and month, CEH-GEAR includes a secondary grid of distance to the nearest operational raingauge. This may be used as an indicator of the quality of the estimates. When this distance is greater than 100 km, the estimates are not calculated due to high uncertainty. CEH-GEAR is available free of charge for commercial and non-commercial use subject to licensing terms and conditions. doi:10.5285/5dc179dc-f692-49ba-9326-a6893a503f6e



2021 ◽  
Vol 108 (Supplement_7) ◽  
Author(s):  
Anthony Chan ◽  
Panos Stathakis ◽  
Paul Goldsmith ◽  
Stella Smith ◽  
Christian Macutkiewicz

Abstract Background The COVID-19 pandemic is a global public health emergency. The reconfiguration of local healthcare systems to accommodate the increase in Critical Care capacity has put strain on ‘non-COVID’ specialities. This study characterises the utilisation of Emergency General Surgery (EGS) services at a busy UK university teaching hospital during the COVID-19 lockdown period to evaluate outcomes and to identify patient groups with worse outcomes. Method This retrospective study compares EGS admissions during the UK’s lockdown period (23rd March-28th May 2020) to the same period in 2019. Patient demographics were recorded together with details of their hospital stay and treatment outcomes. Results A total of 645 patients were included, comprising 223 in the COVID-19 and 422 in the non-COVID-19 periods. There was no difference in age, sex, co-morbidity or socioeconomical status. A lower proportion of Black, Asian and Minority Ethnic (BAME) patients were admitted during the COVID-19 period (20.6% vs 35.4%, p < 0.05). The duration of symptoms prior to presentation were longer, and admission Early Warning Scores and serum inflammatory markers were higher. More patients present with acute kidney injury (9.9% vs 4.7%, p = 0.012). There was no difference in perioperative outcomes or 30-day mortality, but more patients were readmitted following conservative management (10.6% vs 4.7%, p = 0.023). Conclusion We show that the UK reorganisation of EGS services has been successful in terms of outcomes and access to services despite a more unwell population. There was a lower proportion of BAME admissions suggesting additional barriers to access to healthcare under pandemic lockdown conditions.





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