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Would changing the selection process for GP trainees stem the workforce crisis? A cohort study using multiple-imputation and simulation

BACKGROUND: There is currently a shortage of qualified GPs in the UK and not all of the training posts available each year are filled. Changing the way in which GP trainees are selected could help increase the training post fill rate and the number of new entrants to the GP Register. The aim of this...

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Autores principales: Taylor, Celia, McManus, I. C., Davison, Ian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5921978/
https://www.ncbi.nlm.nih.gov/pubmed/29699554
http://dx.doi.org/10.1186/s12909-018-1160-z
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author Taylor, Celia
McManus, I. C.
Davison, Ian
author_facet Taylor, Celia
McManus, I. C.
Davison, Ian
author_sort Taylor, Celia
collection PubMed
description BACKGROUND: There is currently a shortage of qualified GPs in the UK and not all of the training posts available each year are filled. Changing the way in which GP trainees are selected could help increase the training post fill rate and the number of new entrants to the GP Register. The aim of this study was to model the impact of changing the selection process for GP training on the number of trainees obtaining GP Registration, either with or without extensions. METHOD: This was a cohort study using UK applications for GP training in 2011–14. Application data were linked using GMC numbers to training outcome data where available, and imputed using multiple imputation where missing. The number of trainees appointed and GP Registrations within three and five years’ full-time-equivalent were estimated for four different selection processes. RESULTS: The cut scores used in the actual 2015 selection process makes it impossible to fill all training posts. Random selection is the worst option, but the difference between this and other processes modelled falls as more trainees are selected. There are large marginal effects on outcomes: those with the highest selection scores are more likely to obtain GP Registration than those with the lowest scores. CONCLUSIONS: Changing the selection process alone would have a small impact on the number of GP Registrations; reducing/removing cut scores would have a much larger impact. This would also increase the number of trainees requiring extensions and being released from training which would have adverse consequences for the profession.
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spelling pubmed-59219782018-05-01 Would changing the selection process for GP trainees stem the workforce crisis? A cohort study using multiple-imputation and simulation Taylor, Celia McManus, I. C. Davison, Ian BMC Med Educ Research Article BACKGROUND: There is currently a shortage of qualified GPs in the UK and not all of the training posts available each year are filled. Changing the way in which GP trainees are selected could help increase the training post fill rate and the number of new entrants to the GP Register. The aim of this study was to model the impact of changing the selection process for GP training on the number of trainees obtaining GP Registration, either with or without extensions. METHOD: This was a cohort study using UK applications for GP training in 2011–14. Application data were linked using GMC numbers to training outcome data where available, and imputed using multiple imputation where missing. The number of trainees appointed and GP Registrations within three and five years’ full-time-equivalent were estimated for four different selection processes. RESULTS: The cut scores used in the actual 2015 selection process makes it impossible to fill all training posts. Random selection is the worst option, but the difference between this and other processes modelled falls as more trainees are selected. There are large marginal effects on outcomes: those with the highest selection scores are more likely to obtain GP Registration than those with the lowest scores. CONCLUSIONS: Changing the selection process alone would have a small impact on the number of GP Registrations; reducing/removing cut scores would have a much larger impact. This would also increase the number of trainees requiring extensions and being released from training which would have adverse consequences for the profession. BioMed Central 2018-04-27 /pmc/articles/PMC5921978/ /pubmed/29699554 http://dx.doi.org/10.1186/s12909-018-1160-z Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Taylor, Celia
McManus, I. C.
Davison, Ian
Would changing the selection process for GP trainees stem the workforce crisis? A cohort study using multiple-imputation and simulation
title Would changing the selection process for GP trainees stem the workforce crisis? A cohort study using multiple-imputation and simulation
title_full Would changing the selection process for GP trainees stem the workforce crisis? A cohort study using multiple-imputation and simulation
title_fullStr Would changing the selection process for GP trainees stem the workforce crisis? A cohort study using multiple-imputation and simulation
title_full_unstemmed Would changing the selection process for GP trainees stem the workforce crisis? A cohort study using multiple-imputation and simulation
title_short Would changing the selection process for GP trainees stem the workforce crisis? A cohort study using multiple-imputation and simulation
title_sort would changing the selection process for gp trainees stem the workforce crisis? a cohort study using multiple-imputation and simulation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5921978/
https://www.ncbi.nlm.nih.gov/pubmed/29699554
http://dx.doi.org/10.1186/s12909-018-1160-z
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