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Do changing medical admissions practices in the UK impact on who is admitted? An interrupted time series analysis

INTRODUCTION: Medical admissions must balance two potentially competing missions: to select those who will be successful medical students and clinicians and to increase the diversity of the medical school population and workforce. Many countries address this dilemma by reducing the heavy reliance on...

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Autores principales: Fielding, Shona, Tiffin, Paul Alexander, Greatrix, Rachel, Lee, Amanda J, Patterson, Fiona, Nicholson, Sandra, Cleland, Jennifer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6194474/
https://www.ncbi.nlm.nih.gov/pubmed/30297349
http://dx.doi.org/10.1136/bmjopen-2018-023274
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author Fielding, Shona
Tiffin, Paul Alexander
Greatrix, Rachel
Lee, Amanda J
Patterson, Fiona
Nicholson, Sandra
Cleland, Jennifer
author_facet Fielding, Shona
Tiffin, Paul Alexander
Greatrix, Rachel
Lee, Amanda J
Patterson, Fiona
Nicholson, Sandra
Cleland, Jennifer
author_sort Fielding, Shona
collection PubMed
description INTRODUCTION: Medical admissions must balance two potentially competing missions: to select those who will be successful medical students and clinicians and to increase the diversity of the medical school population and workforce. Many countries address this dilemma by reducing the heavy reliance on prior educational attainment, complementing this with other selection tools. However, evidence to what extent this shift in practice has actually widened access is conflicting. AIM: To examine if changes in medical school selection processes significantly impact on the composition of the student population. DESIGN AND SETTING: Observational study of medical students from 18 UK 5-year medical programmes who took the UK Clinical Aptitude Test from 2007 to 2014; detailed analysis on four schools. PRIMARY OUTCOME: Proportion of admissions to medical school for four target groups (lower socioeconomic classes, non-selective schooling, non-white and male). DATA ANALYSIS: Interrupted time-series framework with segmented regression was used to identify the impact of changes in selection practices in relation to invitation to interview to medical school. Four case study medical schools were used looking at admissions within for the four target groups. RESULTS: There were no obvious changes in the overall proportion of admissions from each target group over the 8-year period, averaging at 3.3% lower socioeconomic group, 51.5% non-selective school, 30.5% non-white and 43.8% male. Each case study school changed their selection practice in decision making for invite to interview during 2007–2014. Yet, this within-school variation made little difference locally, and changes in admission practices did not lead to any discernible change in the demography of those accepted into medical school. CONCLUSION: Although our case schools changed their selection procedures, these changes did not lead to any observable differences in their student populations. Increasing the diversity of medical students, and hence the medical profession, may require different, perhaps more radical, approaches to selection.
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spelling pubmed-61944742018-10-24 Do changing medical admissions practices in the UK impact on who is admitted? An interrupted time series analysis Fielding, Shona Tiffin, Paul Alexander Greatrix, Rachel Lee, Amanda J Patterson, Fiona Nicholson, Sandra Cleland, Jennifer BMJ Open Medical Education and Training INTRODUCTION: Medical admissions must balance two potentially competing missions: to select those who will be successful medical students and clinicians and to increase the diversity of the medical school population and workforce. Many countries address this dilemma by reducing the heavy reliance on prior educational attainment, complementing this with other selection tools. However, evidence to what extent this shift in practice has actually widened access is conflicting. AIM: To examine if changes in medical school selection processes significantly impact on the composition of the student population. DESIGN AND SETTING: Observational study of medical students from 18 UK 5-year medical programmes who took the UK Clinical Aptitude Test from 2007 to 2014; detailed analysis on four schools. PRIMARY OUTCOME: Proportion of admissions to medical school for four target groups (lower socioeconomic classes, non-selective schooling, non-white and male). DATA ANALYSIS: Interrupted time-series framework with segmented regression was used to identify the impact of changes in selection practices in relation to invitation to interview to medical school. Four case study medical schools were used looking at admissions within for the four target groups. RESULTS: There were no obvious changes in the overall proportion of admissions from each target group over the 8-year period, averaging at 3.3% lower socioeconomic group, 51.5% non-selective school, 30.5% non-white and 43.8% male. Each case study school changed their selection practice in decision making for invite to interview during 2007–2014. Yet, this within-school variation made little difference locally, and changes in admission practices did not lead to any discernible change in the demography of those accepted into medical school. CONCLUSION: Although our case schools changed their selection procedures, these changes did not lead to any observable differences in their student populations. Increasing the diversity of medical students, and hence the medical profession, may require different, perhaps more radical, approaches to selection. BMJ Publishing Group 2018-10-08 /pmc/articles/PMC6194474/ /pubmed/30297349 http://dx.doi.org/10.1136/bmjopen-2018-023274 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Medical Education and Training
Fielding, Shona
Tiffin, Paul Alexander
Greatrix, Rachel
Lee, Amanda J
Patterson, Fiona
Nicholson, Sandra
Cleland, Jennifer
Do changing medical admissions practices in the UK impact on who is admitted? An interrupted time series analysis
title Do changing medical admissions practices in the UK impact on who is admitted? An interrupted time series analysis
title_full Do changing medical admissions practices in the UK impact on who is admitted? An interrupted time series analysis
title_fullStr Do changing medical admissions practices in the UK impact on who is admitted? An interrupted time series analysis
title_full_unstemmed Do changing medical admissions practices in the UK impact on who is admitted? An interrupted time series analysis
title_short Do changing medical admissions practices in the UK impact on who is admitted? An interrupted time series analysis
title_sort do changing medical admissions practices in the uk impact on who is admitted? an interrupted time series analysis
topic Medical Education and Training
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6194474/
https://www.ncbi.nlm.nih.gov/pubmed/30297349
http://dx.doi.org/10.1136/bmjopen-2018-023274
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