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Predictive validity of A-level grades and teacher-predicted grades in UK medical school applicants: a retrospective analysis of administrative data in a time of COVID-19
OBJECTIVES: To compare in UK medical students the predictive validity of attained A-level grades and teacher-predicted A levels for undergraduate and postgraduate outcomes. Teacher-predicted A-level grades are a plausible proxy for the teacher-estimated grades that replaced UK examinations in 2020 a...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8678544/ https://www.ncbi.nlm.nih.gov/pubmed/34916308 http://dx.doi.org/10.1136/bmjopen-2020-047354 |
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author | McManus, I C Woolf, Katherine Harrison, David Tiffin, Paul A Paton, Lewis W Cheung, Kevin Yet Fong Smith, Daniel T |
author_facet | McManus, I C Woolf, Katherine Harrison, David Tiffin, Paul A Paton, Lewis W Cheung, Kevin Yet Fong Smith, Daniel T |
author_sort | McManus, I C |
collection | PubMed |
description | OBJECTIVES: To compare in UK medical students the predictive validity of attained A-level grades and teacher-predicted A levels for undergraduate and postgraduate outcomes. Teacher-predicted A-level grades are a plausible proxy for the teacher-estimated grades that replaced UK examinations in 2020 as a result of the COVID-19 pandemic. The study also models the likely future consequences for UK medical schools of replacing public A-level examination grades with teacher-predicted grades. DESIGN: Longitudinal observational study using UK Medical Education Database data. SETTING: UK medical education and training. PARTICIPANTS: Dataset 1: 81 202 medical school applicants in 2010–2018 with predicted and attained A-level grades. Dataset 2: 22 150 18-year-old medical school applicants in 2010–2014 with predicted and attained A-level grades, of whom 12 600 had medical school assessment outcomes and 1340 had postgraduate outcomes available. OUTCOME MEASURES: Undergraduate and postgraduate medical examination results in relation to attained and teacher-predicted A-level results. RESULTS: Dataset 1: teacher-predicted grades were accurate for 48.8% of A levels, overpredicted in 44.7% of cases and underpredicted in 6.5% of cases. Dataset 2: undergraduate and postgraduate outcomes correlated significantly better with attained than with teacher-predicted A-level grades. Modelling suggests that using teacher-estimated grades instead of attained grades will mean that 2020 entrants are more likely to underattain compared with previous years, 13% more gaining the equivalent of the lowest performance decile and 16% fewer reaching the equivalent of the current top decile, with knock-on effects for postgraduate training. CONCLUSIONS: The replacement of attained A-level examination grades with teacher-estimated grades as a result of the COVID-19 pandemic may result in 2020 medical school entrants having somewhat lower academic performance compared with previous years. Medical schools may need to consider additional teaching for entrants who are struggling or who might need extra support for missed aspects of A-level teaching. |
format | Online Article Text |
id | pubmed-8678544 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-86785442021-12-17 Predictive validity of A-level grades and teacher-predicted grades in UK medical school applicants: a retrospective analysis of administrative data in a time of COVID-19 McManus, I C Woolf, Katherine Harrison, David Tiffin, Paul A Paton, Lewis W Cheung, Kevin Yet Fong Smith, Daniel T BMJ Open Medical Education and Training OBJECTIVES: To compare in UK medical students the predictive validity of attained A-level grades and teacher-predicted A levels for undergraduate and postgraduate outcomes. Teacher-predicted A-level grades are a plausible proxy for the teacher-estimated grades that replaced UK examinations in 2020 as a result of the COVID-19 pandemic. The study also models the likely future consequences for UK medical schools of replacing public A-level examination grades with teacher-predicted grades. DESIGN: Longitudinal observational study using UK Medical Education Database data. SETTING: UK medical education and training. PARTICIPANTS: Dataset 1: 81 202 medical school applicants in 2010–2018 with predicted and attained A-level grades. Dataset 2: 22 150 18-year-old medical school applicants in 2010–2014 with predicted and attained A-level grades, of whom 12 600 had medical school assessment outcomes and 1340 had postgraduate outcomes available. OUTCOME MEASURES: Undergraduate and postgraduate medical examination results in relation to attained and teacher-predicted A-level results. RESULTS: Dataset 1: teacher-predicted grades were accurate for 48.8% of A levels, overpredicted in 44.7% of cases and underpredicted in 6.5% of cases. Dataset 2: undergraduate and postgraduate outcomes correlated significantly better with attained than with teacher-predicted A-level grades. Modelling suggests that using teacher-estimated grades instead of attained grades will mean that 2020 entrants are more likely to underattain compared with previous years, 13% more gaining the equivalent of the lowest performance decile and 16% fewer reaching the equivalent of the current top decile, with knock-on effects for postgraduate training. CONCLUSIONS: The replacement of attained A-level examination grades with teacher-estimated grades as a result of the COVID-19 pandemic may result in 2020 medical school entrants having somewhat lower academic performance compared with previous years. Medical schools may need to consider additional teaching for entrants who are struggling or who might need extra support for missed aspects of A-level teaching. BMJ Publishing Group 2021-12-16 /pmc/articles/PMC8678544/ /pubmed/34916308 http://dx.doi.org/10.1136/bmjopen-2020-047354 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Medical Education and Training McManus, I C Woolf, Katherine Harrison, David Tiffin, Paul A Paton, Lewis W Cheung, Kevin Yet Fong Smith, Daniel T Predictive validity of A-level grades and teacher-predicted grades in UK medical school applicants: a retrospective analysis of administrative data in a time of COVID-19 |
title | Predictive validity of A-level grades and teacher-predicted grades in UK medical school applicants: a retrospective analysis of administrative data in a time of COVID-19 |
title_full | Predictive validity of A-level grades and teacher-predicted grades in UK medical school applicants: a retrospective analysis of administrative data in a time of COVID-19 |
title_fullStr | Predictive validity of A-level grades and teacher-predicted grades in UK medical school applicants: a retrospective analysis of administrative data in a time of COVID-19 |
title_full_unstemmed | Predictive validity of A-level grades and teacher-predicted grades in UK medical school applicants: a retrospective analysis of administrative data in a time of COVID-19 |
title_short | Predictive validity of A-level grades and teacher-predicted grades in UK medical school applicants: a retrospective analysis of administrative data in a time of COVID-19 |
title_sort | predictive validity of a-level grades and teacher-predicted grades in uk medical school applicants: a retrospective analysis of administrative data in a time of covid-19 |
topic | Medical Education and Training |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8678544/ https://www.ncbi.nlm.nih.gov/pubmed/34916308 http://dx.doi.org/10.1136/bmjopen-2020-047354 |
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