The challenge to both students and their sending institutions is to progress towards giving something proportionate back in return for the learning experiences received. There is clearly room to improve electives from the hosts' perspective, but individually host institutions lack the opportunity or ability to achieve change.

The strategy of generating institutional support through staged introduction proved effective. The MMI in Dundee was shown to be feasible and displayed sound psychometric properties. Student assessors appeared to perform at least as well as staff. Despite a considerable intellectual and logistical challenge MMIs were successfully introduced and deemed worthwhile.

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.

IntroductionKnowledge about the career decisions of doctors in relation to specialty (residency) training is essential in terms of UK workforce planning. However, little is known about which doctors elect to progress directly from Foundation Year 2 (F2) into core/specialty/general practice training and those who instead opt for an alternative next career step.ObjectiveTo identify if there were any individual differences between these two groups of doctors.DesignThis was a longitudinal, cohort study of ‘home’ students who graduated from UK medical schools between 2010 and 2015 and completed the Foundation Programme (FP) between 2012 and 2017.We used the UK Medical Education Database (UKMED) to access linked data from different sources, including medical school performance, specialty training applications and career preferences. Multivariable regression analyses were used to predict the odds of taking time out of training based on various sociodemographic factors.Results18 380/38 905 (47.2%) of F2 doctors applied for, and accepted, a training post offer immediately after completing F2. The most common pattern for doctors taking time out of the training pathway after FP was to have a 1-year (7155: 38.8%) or a 2-year break (2605: 14.0%) from training. The odds of not proceeding directly into core or specialty training were higher for those who were male, white, entered medical school as (high) school leavers and whose parents were educated to degree level. Doctors from areas of low participation in higher education were significantly (0.001) more likely to proceed directly into core or specialty training.ConclusionThe results show that UK doctors from higher socioeconomic groups are less likely to choose to progress directly from the FP into specialty training. The data suggest that widening access and encouraging more socioeconomic diversity in our medical students may be helpful in terms of attracting F2s into core/specialty training posts.

IntroductionKnowledge about allocation of doctors into postgraduate training programmes is essential in terms of workforce planning, transparency and equity issues. However, this is a rarely examined topic. To address this gap in the literature, the current study examines the relationships between applicants’ sociodemographic characteristics and outcomes on the UK Foundation Training selection process.MethodsA longitudinal, cohort study of trainees who applied for the first stage of UK postgraduate medical training in 2013–2014. We used UK Medical Education Database (UKMED) to access linked data from different sources, including medical school admissions, assessments and postgraduate training. Multivariable ordinal regression analyses were used to predict the odds of applicants being allocated to their preferred foundation schools.ResultsApplicants allocated to their first-choice foundation school scored on average a quarter of an SD above the average of all applicants in the sample. After adjusting for Foundation Training application score, no statistically significant effects were observed for gender, socioeconomic status (as determined by income support) or whether applicants entered medical school as graduates or not. Ethnicity and place of medical qualification were strong predictors of allocation to preferred foundation school. Applicants who graduated from medical schools in Wales, Scotland and Northern Ireland were 1.17 times, 3.33 times and 12.64 times (respectively), the odds of applicants who graduated from a medical school in England to be allocated to a foundation school of their choice.ConclusionsThe data provide supportive evidence for the fairness of the allocation process but highlight some interesting findings relating to ‘push-pull’ factors in medical careers decision-making. These findings should be considered when designing postgraduate training policy.