Dataset Information

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

ABSTRACT:

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.

SUBMITTER: Mukherji P

PROVIDER: S-EPMC9756189 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Mukherji Prokriti P Adas Maryam A MA Clarke Benjamin B Galloway James B JB Mulvey Thomas T Norton Sam S Turner Jonathan J Russell Mark D MD Lempp Heidi H Li Shuangyu S

BMJ open 20221215 12

<h4>Objective</h4>Quantify differential attainment by ethnicity in undergraduate medical assessments and evaluate whether institutional efforts to reduce the attainment gap have had impact.<h4>Design</h4>Observational cohort study.<h4>Setting</h4>A single UK MBBS medical programme.<h4>Participants</h4>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 o ...[more]

PMID: 36521901

Similar Datasets

Project description:ObjectivesThe UK Clinical Aptitude Test (UKCAT) previously piloted an assessment of 'online confidence', where candidates were asked to indicate how confident they were with their answers. This study examines the relationship between these ratings, the odds of receiving an offer to study medicine and subsequent undergraduate academic performance.DesignNational cohort study.SettingUK undergraduate medical selection.Participants56 785 UKCAT candidates who sat the test between 2013 and 2016 and provided valid responses to the online confidence pilot study.Primary outcome measuresTwo measures of 'online confidence' were derived: the well-established 'confidence bias', and; a novel 'confidence judgement' measure, developed using Item Response Theory in order to derive a more sophisticated metric of the ability to evaluate one's own performance on a task. Regression models investigated the relationships between these confidence measures, application success and academic performance.ResultsOnline confidence was inversely related to cognitive performance. Relative underconfidence was associated with increased odds of receiving an offer to study medicine. For 'confidence bias' this effect was independent of potential confounders (OR 1.48, 1.15 to 1.91, p=0.002). While 'confidence judgement' was also a univariable predictor of application success (OR 1.22, 1.01 to 1.47, p=0.04), it was not an independent predictor. 'Confidence bias', but not 'confidence judgement', predicted the odds of passing the first year of university at the first attempt, independently of cognitive performance, with relative underconfidence positively related to academic success (OR 3.24, 1.08 to 9.72, p=0.04). No non-linear effects were observed, suggesting no 'sweet spot' exists in relation to online confidence and the outcomes studied.ConclusionsApplicants who either appear underconfident, or are better at judging their own performance on a task, are more likely to receive an offer to study medicine. However, online confidence estimates had limited ability to predict subsequent academic achievement. Moreover, there are practical challenges to evaluating online confidence in high-stakes selection.

Project description:ObjectivesDifferential attainment in school examinations is one of the barriers to increasing student diversity in medicine. However, studies on the predictive validity of prior academic achievement and educational performance at medical school are contradictory, possibly due to single-site studies or studies which focus only on early years' performance. To address these gaps, we examined the relationship between sociodemographic factors, including school type and average educational performance throughout medical school across a large number of diverse medical programmes.MethodsThis retrospective study analysed data from students who graduated from 33 UK medical schools between 2012 and 2013. We included candidates' demographics, pre-entry grades (adjusted Universities and Colleges Admissions Service tariff scores) preadmission test scores (UK Clinical Aptitude Test (UKCAT) and Graduate Medical School Admissions Test (GAMSAT)) and used the UK Foundation Programme's educational performance measure (EPM) decile as an outcome measure. Logistic regression was used to assess the independent relationship between students' background characteristics and EPM ranking.ResultsStudents from independent schools had significantly higher mean UKCAT scores (2535.1, SD=209.6) than students from state-funded schools (2506.1, SD=224.0, p<0.001). Similarly, students from independent schools came into medical school with significantly higher mean GAMSAT scores (63.9, SD=6.9) than students from state-funded schools (60.8, SD=7.1, p<0.001). However, students from state-funded schools were almost twice as likely (OR=2.01, 95% CI 1.49 to 2.73) to finish in the highest rank of the EPM ranking than those who attended independent schools.ConclusionsThis is the first large-scale study to examine directly the relationship between school type and overall performance at medical school. Our findings provide modest supportive evidence that, when students from independent and state schools enter with similar pre-entry grades, once in medical school, students from state-funded schools are likely to outperform students from independent schools. This evidence contributes to discussions around contextualising medical admission.

Project description:ObjectivesTo better characterise the Awarding Gap (AG) between black, Asian and other minority ethnic (BAME) and white students in UK undergraduate medical education by examining how it affects eight minority ethnicity subgroups (Bangladeshi, black, Chinese, Indian, Pakistani, mixed, other Asian background and other ethnic background) and whether the AG varies by medical school attended.DesignRetrospective cohort study.SettingData extracted from the UK Medical Education Database on students enrolled at 33 UK medical schools in the academic years starting 2012, 2013 and 2014.Participants16 020 'Home' tuition fee status students who sat the University Clinical Aptitude Test on entry to university and obtained a UK Foundation Programme (UKFP) application score on exit.Primary outcome measureUKFP Z-scores on exit from medical school.ResultsThere were significant differences in UKFP Z-scores between ethnicity subgroups. After white students, mixed ethnicity students performed best (coefficient -0.15 standard deviations [SD]) compared with white students, (95% confidence interval [CI] -0.23 to -0.08, p<0.001) and Pakistani students scored lowest (coefficient -0.53 SD, 95% CI -0.60 to -0.46, p<0.001). In pairwise comparisons of scores between all nine individual ethnicity subgroups, 15/36 were statistically significant. The AG varied considerably across medical schools. The largest gap showed the coefficient for BAME was -0.83 SD compared with white students (95% CI -1.18 to -0.49, p<0.001), while the smallest demonstrated no statistically significant difference in performance between BAME and white students (+0.05 SD, 95% CI -0.32 to 0.42, p=0.792).ConclusionsBAME students are significantly disadvantaged by the current UK medical education system. There are clear differences in medical school outcomes between students from different ethnicity subgroups, and the size of the AG also varies by medical school attended. Urgent and effective action must be taken to address the AG and achieve an equal learning environment for our future doctors.

Project description:BackgroundSelection of medical students in the UK is still largely based on prior academic achievement, although doubts have been expressed as to whether performance in earlier life is predictive of outcomes later in medical school or post-graduate education. This study analyses data from five longitudinal studies of UK medical students and doctors from the early 1970s until the early 2000s. Two of the studies used the AH5, a group test of general intelligence (that is, intellectual aptitude). Sex and ethnic differences were also analyzed in light of the changing demographics of medical students over the past decades.MethodsData from five cohort studies were available: the Westminster Study (began clinical studies from 1975 to 1982), the 1980, 1985, and 1990 cohort studies (entered medical school in 1981, 1986, and 1991), and the University College London Medical School (UCLMS) Cohort Study (entered clinical studies in 2005 and 2006). Different studies had different outcome measures, but most had performance on basic medical sciences and clinical examinations at medical school, performance in Membership of the Royal Colleges of Physicians (MRCP(UK)) examinations, and being on the General Medical Council Specialist Register.ResultsCorrelation matrices and path analyses are presented. There were robust correlations across different years at medical school, and medical school performance also predicted MRCP(UK) performance and being on the GMC Specialist Register. A-levels correlated somewhat less with undergraduate and post-graduate performance, but there was restriction of range in entrants. General Certificate of Secondary Education (GCSE)/O-level results also predicted undergraduate and post-graduate outcomes, but less so than did A-level results, but there may be incremental validity for clinical and post-graduate performance. The AH5 had some significant correlations with outcome, but they were inconsistent. Sex and ethnicity also had predictive effects on measures of educational attainment, undergraduate, and post-graduate performance. Women performed better in assessments but were less likely to be on the Specialist Register. Non-white participants generally underperformed in undergraduate and post-graduate assessments, but were equally likely to be on the Specialist Register. There was a suggestion of smaller ethnicity effects in earlier studies.ConclusionsThe existence of the Academic Backbone concept is strongly supported, with attainment at secondary school predicting performance in undergraduate and post-graduate medical assessments, and the effects spanning many years. The Academic Backbone is conceptualized in terms of the development of more sophisticated underlying structures of knowledge ('cognitive capital' and 'medical capital'). The Academic Backbone provides strong support for using measures of educational attainment, particularly A-levels, in student selection.

Project description:ObjectivesUniversity academic achievement may be inversely related to the performance of the secondary (high) school an entrant attended. Indeed, some medical schools already offer 'grade discounts' to applicants from less well-performing schools. However, evidence to guide such policies is lacking. In this study, we analyse a national dataset in order to understand the relationship between the two main predictors of medical school admission in the UK (prior educational attainment (PEA) and performance on the United Kingdom Clinical Aptitude Test (UKCAT)) and subsequent undergraduate knowledge and skills-related outcomes analysed separately.MethodsThe study was based on national selection data and linked medical school outcomes for knowledge and skills-based tests during the first five years of medical school. UKCAT scores and PEA grades were available for 2107 students enrolled at 18 medical schools. Models were developed to investigate the potential mediating role played by a student's previous secondary school's performance. Multilevel models were created to explore the influence of students' secondary schools on undergraduate achievement in medical school.ResultsThe ability of the UKCAT scores to predict undergraduate academic performance was significantly mediated by PEA in all five years of medical school. Undergraduate achievement was inversely related to secondary school-level performance. This effect waned over time and was less marked for skills, compared with undergraduate knowledge-based outcomes. Thus, the predictive value of secondary school grades was generally dependent on the secondary school in which they were obtained.ConclusionsThe UKCAT scores added some value, above and beyond secondary school achievement, in predicting undergraduate performance, especially in the later years of study. Importantly, the findings suggest that the academic entry criteria should be relaxed for candidates applying from the least well performing secondary schools. In the UK, this would translate into a decrease of approximately one to two A-level grades.

Project description:BackgroundWhether graduate entrants to medical school perform better academically than undergraduate entrants remains controversial. Differences in the discipline backgrounds of graduates may, at least in part, have accounted for differences in the results of comparative studies reported to date. This study aimed to address the dual issues of whether academic performance and progression rates were different between GE and UG students and the extent to which the discipline background of GE students may underpin any differences observed.MethodsRelative academic performance as well as indicators of student progression (supplementary examinations, repeat years, leave of absence, withdrawal from the programme) were compared between graduate entrants (GE) (N = 410) and both school leaver entrants (SLE) (N = 865) and non-standard entrants (some prior tertiary education) (NSE) (N = 148) who combined for the final 4 yr. of a 6 yr. MBBS undergraduate programme in 8 consecutive cohorts from 2006 to 2013 in Western Australia.ResultsExamination scores were generally at or very close to a distinction grade or higher across all groups. Higher mean examination scores were seen for GE versus both SLE and NSE in the first 2 years with no significant differences in the final 2 years. GE from biological science / science backgrounds (N = 241) or physical science backgrounds (N = 26) performed the same as SLE and NSE throughout the programme. GE with a health / allied health background (N = 91), however, performed better throughout. They also performed better when compared to their GE counterparts from a humanities (N = 32) or a biological science / science background. GE had increased odds of withdrawing when compared to SLE (OR 2.50, 95% CI 1.30, 4.79, P = 0.006), but not compared to NSE. NSE had increased odds of repeating at least one level when compared to either GE (OR 2.74, 95% CI 1.21, 6.21, P = 0.016) or SLE (OR 4.10, 95% CI 1.93, 8.70, P < 0.001). There were no differences by entry category in the odds of sitting at least one supplementary examination during the programme. There was an increase in the odds of taking at least one leave of absence in both SLE (OR 2.55, 95% CI 1.79, 3.63, P < 0.001) and NSE (OR 2.47, 95% CI 1.50, 4.07, P < 0.001) compared to GE.ConclusionsBetter academic performance by GE compared to SLE and NSE was predominantly due to higher scores for GE with a health / allied health background. GE were also less likely to have impeded progress during the course.

Project description:Following the 2016 US Presidential election, immigration enforcement became more aggressive, with variation by state and region depending on local policies and sentiment. Increases in enforcement created an environment of risk for decreased use of health care services among especially among Latino families. of Hispanic ethnicity and/or from Latin American origin (as a group subsequently referred to as Latino). For Latino children with chronic health conditions, avoidance of routine health care can result in significant negative health consequences such as disease progression, avoidable use of acute health care services, and overall increased costs of care. To investigate for changes in visit attendance during the periods before and since increased immigration enforcement, we extracted data on children followed by subspecialty clinics of one healthcare system in the US state of North Carolina during 2015-2019. For each patient, we calculated the proportion of cancelled visits and no-show visits out of all scheduled visits during the 2016-2019 follow-up period. We compared patient characteristics (at the 2015 baseline) according to whether they cancelled or did not show to any visits in subsequent years by clinic and patient factors, including ethnicity. Data were analyzed using multinomial logistic regression of attendance at each visit, including an interaction between visit year and patient ethnicity. Among 852 children 1 to 17 years of age (111 of Latino ethnicity), visit no-show was more common among Latino patients, compared to non-Latino White patients; while visit cancellation was more common among non-Latino White patients, compared to Latino patients. There was no significant interaction between ethnicity and trends in visit no-show or cancellation. Although differences in pediatric specialty clinic visit attendance by patient ethnicity were seen at study baseline, changing immigration policy and negative rhetoric did not appear to impact use of pediatric subspecialty care.

Dataset Information

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

Objective

Design

Setting

Participants

Main outcome measure

Results

Conclusion

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets