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.

Objectives: Many countries are driving forward policies to widen the socioeconomic profile of medical students and to train more medical students for certain specialties. However, little is known about how socioeconomic origin relates to specialty choice. Nor is there a good understanding of the relationship between academic performance and specialty choice. To address these gaps, our aim was to identify the relationship between socioeconomic background, academic performance and accepted offers into specialty training.Design: Longitudinal, cohort study using data from the UK Medical Education Database (https://www.ukmed.ac.uk/).Participants: 6065 (60% females) UK doctors who accepted offers to a specialty training (residency) post after completing the 2-year generic foundation programme (UK Foundation Programme) between 2012 and 2014.Main outcome measures: Χ²tests were used to examine the relationships between sociodemographic characteristics, academic ability and the dependent variable, specialty choice. Multiple data imputation was used to address the issue of missing data. Multinomial regression was employed to test the independent variables in predicting the likelihood of choosing a given specialty.Results: Participants pursuing careers in more competitive specialties had significantly higher academic scores than colleagues pursuing less competitive ones. After controlling for the presence of multiple factors, trainees who came from families where no parent was educated to a degree level had statistically significant lower odds of choosing careers in medical specialties relative to general practice (OR=0.78, 95% CI, 0.67 to 0.92). Students who entered medical school as school leavers, compared with mature students, had odds 1.2 times higher (95% CI, 1.04 to 1.56) of choosing surgical specialties than general practice.Conclusions: The data indicate a direct association between trainees’ sociodemographic characteristics, academic ability and career choices. The findings can be used by medical school, training boards and workforce planners to inform recruitment and retention strategies.

Objectives Multiple personal and work-related factors influence medical trainees’ career decision-making. The relative value of these diverse factors is under-researched, yet this intelligence is crucially important for informing medical workforce planning and retention and recruitment policies. Our aim was to investigate the relative value of UK doctors’ preferences for different training post characteristics during the time period when they either apply for specialty or core training or take time out. Methods We developed a discrete choice experiment (DCE) specifically for this population. The DCE was distributed to all Foundation Programme Year 2 (F2) doctors across Scotland as part of the National Career Destination Survey in June 2016. The main outcome measure was the monetary value of training post characteristics, based on willingness to forgo additional potential income and willingness to accept extra income for a change in each job characteristic calculated from regression coefficients. Results 677/798 F2 doctors provided usable DCE responses. Location was the most influential characteristic of a training position, followed closely by supportive culture and then working conditions. F2 doctors would need to be compensated by an additional 45.75% above potential earnings to move from a post in a desirable location to one in an undesirable location. Doctors who applied for a training post placed less value on supportive culture and excellent working conditions than those who did not apply. Male F2s valued location and a supportive culture less than female F2s. Conclusion This is the first study focusing on the career decision-making of UK doctors at a critical careers decision-making point. Both location and specific job-related attributes are highly valued by F2 doctors when deciding their future. This intelligence can inform workforce policy to focus their efforts in terms of making training posts attractive to this group of doctors to enhance recruitment and retention.

Objectives The aim of this scoping review was to identify pre-existing interventions to support the well-being of healthcare workers during a pandemic or other crisis and to assess the quality of these interventions. Design Arksey and O’Malley’s five-stage scoping review framework was used to identify the types of evidence available in the field of well-being interventions for healthcare workers during a pandemic. PubMed, PsycINFO, Embase, Scopus, Web of Science, CINAHL and ERIC databases were searched to find interventions for the well-being of doctors during pandemics. Owing to a lack of results, this search was expanded to all healthcare workers and to include any crisis. Databases were searched in June 2020 and again in October 2020. Inclusion/exclusion criteria Articles were included that studied healthcare workers, reported an intervention design and were specifically designed for use during a pandemic or other crisis. Well-being was defined broadly and could include psychological, physical, social or educational interventions. Results Searching produced 10 529 total academic references of which 2062 were duplicates. This left 8467 references. Of these, 16 met our inclusion criteria and were included in data extraction. During data extraction, three more papers were excluded. This left 13 papers to summarise and report. Of these 13 papers, 6 were prospective studies and 7 were purely descriptive. None of the interventions were theoretically informed in their development and the quality of the evidence was generally deemed poor. Conclusions There are no high-quality, theory-based interventions for the well-being of healthcare workers during a pandemic or other crisis. Given that previous pandemics have been shown to have a negative effect on healthcare workers well-being, it is imperative this shortcoming is addressed. This scoping review highlights the need for high-quality, theory-based and evidence-based interventions for the well-being of healthcare workers during a pandemic.

Introduction Knowledge 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. Methods A 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. Results Applicants 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. Conclusions The 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.

Introduction: Supporting doctors' wellbeing is crucial for medical education to help minimise negative long‐term impacts on medical workforce retention and ultimately patient care. There is limited study of how doctors' transitions experiences impact wellbeing, particularly socially and culturally. Multiple Multidimensional Transitions (MMT) theory views transitions as dynamic, incorporating multiple contexts and multiple domains. Using MMT as our lens, we report a qualitative analysis of how transitions experienced by doctors during the pandemic impacted on social and cultural aspects of wellbeing. Methods: Longitudinal narrative inquiry was employed, using interviews and audio‐diaries. Data were collected over 6 months in three phases: (i) interviews with doctors from across the career spectrum ( n = 98); (ii) longitudinal audio‐diaries for 2–4 months ( n = 71); (iii) second interviews ( n = 83). Data were analysed abductively, narrowing focus to factors important to social and cultural wellbeing. Results: Doctors described experiencing multiple interacting transitions triggered by the pandemic in multiple contexts (workplace, role, homelife and education). Patterns identifiable across the dataset allowed us to explore social and cultural wellbeing crosscutting beyond individual experience. Three critical factors contributed to social and cultural wellbeing both positively and negatively: being heard (e.g., by colleagues asking how they are); being valued (e.g., removal of rest spaces by organisations showing lack of value) ; and being supported (e.g., through regular briefing by education bodies). Conclusions: This study is the first to longitudinally explore the multiple‐multidimensional transitions experienced by doctors during the COVID‐19 pandemic. Our data analysis helped us move beyond existing perceptions around wellbeing and articulate multiple factors that contribute to social and cultural wellbeing. It is vital that medical educators consider the learning from these experiences to help pinpoint what aspects of support might be beneficial to trainee doctors and their trainers. This study forms the basis for developing evidenced‐based interventions that ensure doctors are heard, valued and supported.