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Changing trends in ethnicity and academic performance: observational cohort data from a UK medical school

OBJECTIVE: Quantify differential attainment by ethnicity in undergraduate medical assessments and evaluate whether institutional efforts to reduce the attainment gap have had impact. DESIGN: Observational cohort study. SETTING: A single UK MBBS medical programme. PARTICIPANTS: Pseudonymised data of...

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Autores principales: Mukherji, Prokriti, Adas, Maryam A, Clarke, Benjamin, Galloway, James B, Mulvey, Thomas, Norton, Sam, Turner, Jonathan, Russell, Mark D, Lempp, Heidi, Li, Shuangyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756189/
https://www.ncbi.nlm.nih.gov/pubmed/36521901
http://dx.doi.org/10.1136/bmjopen-2022-066886
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author Mukherji, Prokriti
Adas, Maryam A
Clarke, Benjamin
Galloway, James B
Mulvey, Thomas
Norton, Sam
Turner, Jonathan
Russell, Mark D
Lempp, Heidi
Li, Shuangyu
author_facet Mukherji, Prokriti
Adas, Maryam A
Clarke, Benjamin
Galloway, James B
Mulvey, Thomas
Norton, Sam
Turner, Jonathan
Russell, Mark D
Lempp, Heidi
Li, Shuangyu
author_sort Mukherji, Prokriti
collection PubMed
description OBJECTIVE: Quantify differential attainment by ethnicity in undergraduate medical assessments and evaluate whether institutional efforts to reduce the attainment gap have had impact. DESIGN: Observational cohort study. SETTING: A single UK MBBS medical programme. PARTICIPANTS: Pseudonymised data of adults aged ≥18 years enrolled in one of the UK MBBS medical programmes between 2012 and 2018. Ethnicity was self-declared during enrolment as White, Asian, Black, mixed and other. MAIN OUTCOME MEASURE: Module mark (distinction, merit, pass, fail) graded according to a variety of assessments, including single best answer examinations, objective structured clinical examinations and coursework submissions. All modular assessments are graded as a percentage. Logistic regression models were used to calculate relative risk ratio to study the association between ethnicity and attainment gap over a calendar and scholastic year. Models were adjusted for age, gender, social deprivation and scholastic year of study. RESULTS: 3714 student records were included. In the sample, 2134 students (57%) were non-white. The proportion of non-white students increased from 2007 (49%) to 2018 (70%). Mean age was 18 (IQR 18–21) and 56.6% were females. Higher proportion of non-white students 218 (24.8%) were from more deprived backgrounds versus white 76 (14.8%). Compared with non-white, there were no significant differences in the proportion of students failing assessments. However, white students were more likely to achieve merit (relative risk ratio 1.29 (95% CI 1.08 to 1.45)) or distinction (1.69 (95% CI 1.37 to 2.08)). Differences in attainment gap have remained unchanged over time, and for black students, attainment gap grew between their first and final year of study. CONCLUSION: A similar proportion (97%) of non-white and white students had a passing score, but attainment gap for higher grades persists over years despite widespread efforts in medical schools to diminish the attainment gap linked to ethnicity. Our findings are from a single institution, thus affecting generalisability.
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spelling pubmed-97561892022-12-17 Changing trends in ethnicity and academic performance: observational cohort data from a UK medical school Mukherji, Prokriti Adas, Maryam A Clarke, Benjamin Galloway, James B Mulvey, Thomas Norton, Sam Turner, Jonathan Russell, Mark D Lempp, Heidi Li, Shuangyu BMJ Open Medical Education and Training OBJECTIVE: Quantify differential attainment by ethnicity in undergraduate medical assessments and evaluate whether institutional efforts to reduce the attainment gap have had impact. DESIGN: Observational cohort study. SETTING: A single UK MBBS medical programme. PARTICIPANTS: Pseudonymised data of adults aged ≥18 years enrolled in one of the UK MBBS medical programmes between 2012 and 2018. Ethnicity was self-declared during enrolment as White, Asian, Black, mixed and other. MAIN OUTCOME MEASURE: Module mark (distinction, merit, pass, fail) graded according to a variety of assessments, including single best answer examinations, objective structured clinical examinations and coursework submissions. All modular assessments are graded as a percentage. Logistic regression models were used to calculate relative risk ratio to study the association between ethnicity and attainment gap over a calendar and scholastic year. Models were adjusted for age, gender, social deprivation and scholastic year of study. RESULTS: 3714 student records were included. In the sample, 2134 students (57%) were non-white. The proportion of non-white students increased from 2007 (49%) to 2018 (70%). Mean age was 18 (IQR 18–21) and 56.6% were females. Higher proportion of non-white students 218 (24.8%) were from more deprived backgrounds versus white 76 (14.8%). Compared with non-white, there were no significant differences in the proportion of students failing assessments. However, white students were more likely to achieve merit (relative risk ratio 1.29 (95% CI 1.08 to 1.45)) or distinction (1.69 (95% CI 1.37 to 2.08)). Differences in attainment gap have remained unchanged over time, and for black students, attainment gap grew between their first and final year of study. CONCLUSION: A similar proportion (97%) of non-white and white students had a passing score, but attainment gap for higher grades persists over years despite widespread efforts in medical schools to diminish the attainment gap linked to ethnicity. Our findings are from a single institution, thus affecting generalisability. BMJ Publishing Group 2022-12-15 /pmc/articles/PMC9756189/ /pubmed/36521901 http://dx.doi.org/10.1136/bmjopen-2022-066886 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/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/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Medical Education and Training
Mukherji, Prokriti
Adas, Maryam A
Clarke, Benjamin
Galloway, James B
Mulvey, Thomas
Norton, Sam
Turner, Jonathan
Russell, Mark D
Lempp, Heidi
Li, Shuangyu
Changing trends in ethnicity and academic performance: observational cohort data from a UK medical school
title Changing trends in ethnicity and academic performance: observational cohort data from a UK medical school
title_full Changing trends in ethnicity and academic performance: observational cohort data from a UK medical school
title_fullStr Changing trends in ethnicity and academic performance: observational cohort data from a UK medical school
title_full_unstemmed Changing trends in ethnicity and academic performance: observational cohort data from a UK medical school
title_short Changing trends in ethnicity and academic performance: observational cohort data from a UK medical school
title_sort changing trends in ethnicity and academic performance: observational cohort data from a uk medical school
topic Medical Education and Training
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9756189/
https://www.ncbi.nlm.nih.gov/pubmed/36521901
http://dx.doi.org/10.1136/bmjopen-2022-066886
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