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The relationship between school type and academic performance at medical school: a national, multi-cohort study.

ABSTRACT: OBJECTIVES:Differential 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. METHODS:This 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. RESULTS:Students 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. CONCLUSIONS:This 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.

SUBMITTER: Kumwenda B

PROVIDER: S-EPMC5589012 | biostudies-literature | 2017 Aug

REPOSITORIES: biostudies-literature

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The relationship between school type and academic performance at medical school: a national, multi-cohort study.

Kumwenda Ben B Cleland Jennifer A JA Walker Kim K Lee Amanda J AJ Greatrix Rachel R

BMJ open 20170831 8

<h4>Objectives</h4>Differential 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 pe ...[more]

PMID: 28860227

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Project description:OBJECTIVES:The 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. DESIGN:National cohort study. SETTING:UK undergraduate medical selection. PARTICIPANTS:56?785 UKCAT candidates who sat the test between 2013 and 2016 and provided valid responses to the online confidence pilot study. PRIMARY OUTCOME MEASURES:Two 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. RESULTS:Online 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. CONCLUSIONS:Applicants 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:ObjectiveQuantify differential attainment by ethnicity in undergraduate medical assessments and evaluate whether institutional efforts to reduce the attainment gap have had impact.DesignObservational cohort study.SettingA single UK MBBS medical programme.ParticipantsPseudonymised 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 measureModule 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.Results3714 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.ConclusionA 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.

Project description:BackgroundThe current study aimed to evaluate the previously unexplored correlation between undergraduate medical students' attendance during their surgical clerkship and their academic performance. It also aimed to explore any difference in the attendance rate between male and female students and whether this difference, if present, affects the academic performance.MethodsA retrospective descriptive cross-sectional study has been conducted on 331 undergraduate medical students during their surgical clerkships at the College of Medicine and Medical Sciences (CMMS) at Arabian Gulf University (AGU), Bahrain from September 2018 to June 2020.ResultsThere was a positive statistically significant correlation between students' attendance during surgical clerkship and academic performance (r = 0.360, P < 0.01). Mean attendance rate was greater in each increasing category of academic performance: 47.95% in the weak category (less than 65%, n = 42), 57.62% in the good performance category (65% to less than 75%, n = 108), 67.82% in the very good performance category (75% to less than 85%, n = 126), 83.16% in the excellent performance category (85% and above, n = 55). The mean attendance rate of male students was 59.76% (SD = 25.73), compared to 66.92% (SD = 24.30) in the female students. T-test indicated that the difference between the mean attendance of the two groups of the students (male, female) was statistically significant (t = 2.483, p < 0.05). On the other hand, the difference between the mean academic performance for the two groups of students, male & female, (t = 0.284, p = 0.777) was not statistically significant.ConclusionsOur study showed a significant relationship between undergraduate medical students' attendance during their surgical clerkship and their academic performance. Further studies are needed to stratify this correlation according to clinical and theoretical teaching activities. No significant difference was observed in academic performance between female and male students.

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:BackgroundSleep disorders are composed of a group of diseases of increasing prevalence and with social-health implications to be considered a public health problem. Sleep habits and specific sleep behaviors have an influence on the academic success of students. However, the characteristics of sleep and sleep habits of university students as predictors of poor academic performance have been scarcely analyzed. In the present study, we aimed to investigate sleep habits and their influence on academic performance in a cohort of Nursing Degree students.MethodsThis was a cross-sectional and observational study. An anonymous and self-administered questionnaire was used, including different scales such as the 'Morningness and Eveningness scale', an author-generated sleep habit questionnaire, and certain variables aimed at studying the socio-familial and academic aspects of the Nursing students. The association of sleep habits and other variables with poor academic performance was investigated by logistic regression. The internal consistency and homogeneity of the 'sleep habits questionnaire' was assessed with the Cronbach's alpha test.ResultsOverall, 401 students (mean age of 22.1 ± 4.9 years, 74.8 % females) from the Nursing Degree were included. The homogeneity of the 'sleep habits questionnaire' was appropriate (Cronbach's alpha = 0.710). Nursing students were characterized by an evening chronotype (20.2 %) and a short sleep pattern. 30.4 % of the Nursing students had bad sleep habits. Regarding the academic performance, 47.9 % of the students showed a poor one. On multivariate logistic regression analysis, a short sleep pattern (adjusted OR = 1.53, 95 % CI 1.01-2.34), bad sleep habits (aOR = 1.76, 95 % CI 1.11-2.79), and age < 25 years (aOR = 2.27, 95 % CI 1.30-3.98) were independently associated with a higher probability of poor academic performance.ConclusionsAlmost 1/3 of the Nursing students were identified as having bad sleep habits, and these students were characterized by an evening chronotype and a short sleep pattern. A short sleep pattern, bad sleep habits, and age < 25 years, were independently associated with a higher risk of poor academic performance. This requires multifactorial approaches and the involvement of all the associated actors: teachers, academic institutions, health institutions, and the people in charge in university residences, among others.

Dataset Information

The relationship between school type and academic performance at medical school: a national, multi-cohort study.

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The relationship between school type and academic performance at medical school: a national, multi-cohort study.

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