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Many different medical school selection processes are used worldwide. In this paper, we examine the effect of (1) participation, and (2) selection in a voluntary selection process on study performance. We included data from two cohorts of medical students admitted to Erasmus MC, Rotterdam and VUmc, Amsterdam, The Netherlands and compared them to previously published data from Groningen medical school, The Netherlands. All included students were admitted based on either (1) a top pre-university grade point average, or (2) a voluntary selection process, or (3) weighted lottery. We distinguished between lottery-admitted students who had participated in the voluntary selection process and had been rejected, and lottery-admitted students who had not participated. Knowledge test scores, study progress, and professionalism scores were examined using ANCOVA modelling, logistic regression, and Bonferroni post hoc multiple-comparison tests, controlling for gender and cohort. For written test grades, results showed a participation effect at Groningen medical school and Erasmus MC (p < 0.001), and a selection effect at VUmc (p < 0.05). For obtained course credits, results showed a participation effect at all universities (p < 0.01) and a selection effect at Groningen medical school (p < 0.005). At Groningen medical school, a participation effect seemed apparent in on time first-year completion (p < 0.05). Earlier reported selection and participation effects in professionalism scores at Groningen medical school were not apparent at VUmc. Top pre-university students performed well on all outcome measures. For both the participation effect and the selection effect, results differed between universities. Institutional differences in curricula and in the design of the selection process seem to mediate relations between the different admissions processes and performance. Further research is needed for a deeper understanding of the influence of institutional differences on selection outcomes.

Several medical schools include candidates' extracurricular activities in their selection procedure, with promising results regarding their predictive value for achievement during the clinical years of medical school. This study aims to reveal whether the better achievement in clinical training of students selected on the basis of their extracurricular activities could be explained by persistent participation in extracurricular activities during medical school (msECAs). Lottery-admitted and selected student admission groups were compared on their participation in three types of msECAs: (1) research master, (2) important board positions or (3) additional degree programme. Logistic regression was used to measure the effect of admission group on participation in any msECA, adjusted for pre-university GPA. Two-way ANCOVA was used to examine the inter-relationships between admission group, participation in msECAs and clerkship grade, with pre-university GPA as covariate. Significantly more selected students compared to lottery-admitted students participated in any msECA. Participation in msECAs was associated with a higher pre-university GPA for lottery-admitted students only, whereas participation in msECAs was associated with higher clerkship grades for selected students only. These results suggest that persistent participation in extracurricular activities of selected students favours better clinical achievement, supporting the inclusion of ECAs in the selection procedure. More insight in the rationale behind participation in extracurricular activities during medical school may explain differences found between lottery-admitted and selected students.

Medical schools all over the world select applicants using non-cognitive and cognitive criteria. The predictive value of these different types of selection criteria has however never been investigated within the same curriculum while using a control group. We therefore set up a study that enabled us to compare the academic performance of three different admission groups, all composed of school-leaver entry students, and all enrolled in the same Bachelor curriculum: students selected on non-cognitive criteria, students selected on cognitive criteria and students admitted by lottery. First-year GPA and number of course credits (ECTS) at 52 weeks after enrollment of non-cognitive selected students (N = 102), cognitive selected students (N = 92) and lottery-admitted students (N = 356) were analyzed. In addition, chances of dropping out, probability of passing the third-year OSCE, and completing the Bachelor program in 3 years were compared. Although there were no significant differences between the admission groups in first-year GPA, cognitive selected students had obtained significantly more ECTS at 52 weeks and dropped out less often than lottery-admitted students. Probabilities of passing the OSCE and completing the bachelor program in 3 years did not significantly differ between the groups. These findings indicate that the use of only non-cognitive selection criteria is not sufficient to select the best academically performing students, most probably because a minimal cognitive basis is needed to succeed in medical school.

Context Despite evidence for the predictive value of both pre-admission characteristics and past performance at medical school, their relative contribution to predicting medical school performance has not been thoroughly investigated. Objectives This study was designed to determine the relative importance of pre-admission characteristics and past performance in medical school in predicting student performance in pre-clinical and clinical training. Methods This longitudinal prospective study followed six cohorts of students admitted to a Dutch, 6-year, undergraduate medical course during 2002-2007 ( n = 2357). Four prediction models were developed using multivariate logistic regression analysis. Main outcome measures were 'Year 1 course completion within 1 year' (models 1a, 1b), 'Pre-clinical course completion within 4 years' (model 2) and 'Achievement of at least three of five clerkship grades of ≥ 8.0' (model 3). Pre-admission characteristics (models 1a, 1b, 2, 3) and past performance at medical school (models 1b, 2, 3) were included as predictor variables. Results In model 1a - including pre-admission characteristics only - the strongest predictor for Year 1 course completion was pre-university grade point average ( GPA). Success factors were 'selected by admission testing' and 'age > 21 years'; risk factors were 'Surinamese/Antillean background', 'foreign pre-university degree', 'doctor parent' and male gender. In model 1b, number of attempts and GPA at 4 months were the strongest predictors for Year 1 course completion, and male gender remained a risk factor. Year 1 GPA was the strongest predictor for pre-clinical course completion, whereas being male or aged 19-21 years were risk factors. Pre-clinical course GPA positively predicted clinical performance, whereas being non-Dutch or a first-generation university student were important risk factors for lower clinical grades. Nagelkerke's R2 ranged from 0.16 to 0.62. Conclusions This study not only confirms the importance of past performance as a predictor of future performance in pre-clinical training, but also reveals the importance of a student's background as a predictor in clinical training. These findings have important practical implications for selection and support during medical school. [ABSTRACT FROM AUTHOR]

Medical Education 2012: 46: 678-688 Context Medical schools wish to better understand why some students excel academically and others have difficulty in passing medical courses. Components of self-regulated learning (SRL), such as motivational beliefs and learning strategies, as well as participation in scheduled learning activities, have been found to relate to student performance. Although participation may be a form of SRL, little is known about the relationships among motivational beliefs, learning strategies, participation and medical school performance. Objectives This study aimed to test and cross-validate a hypothesised model of relationships among motivational beliefs (value and self-efficacy), learning strategies (deep learning and resource management), participation (lecture attendance, skills training attendance and completion of optional study assignments) and Year 1 performance at medical school. Methods Year 1 medical students in the cohorts of 2008 ( n = 303) and 2009 ( n = 369) completed a questionnaire on motivational beliefs and learning strategies (sourced from the Motivated Strategies for Learning Questionnaire) and participation. Year 1 performance was operationalised as students' average Year 1 course examination grades. Structural equation modelling was used to analyse the data. Results Participation and self-efficacy beliefs were positively associated with Year 1 performance (β = 0.78 and β = 0.19, respectively). Deep learning strategies were negatively associated with Year 1 performance (β = − 0.31), but positively related to resource management strategies (β = 0.77), which, in turn, were positively related to participation (β = 0.79). Value beliefs were positively related to deep learning strategies only (β = 0.71). The overall structural model for the 2008 cohort accounted for 47% of the variance in Year 1 grade point average and was cross-validated in the 2009 cohort. Conclusions This study suggests that participation mediates the relationships between motivation and learning strategies, and medical school performance. However, participation and self-efficacy beliefs also made unique contributions towards performance. Encouraging participation and strengthening self-efficacy may help to enhance medical student performance. [ABSTRACT FROM AUTHOR]

Medical Education 2012: 46: 575-585 Context Research from numerous medical schools has shown that students from ethnic minorities underperform compared with those from the ethnic majority. However, little is known about why this underperformance occurs and whether there are performance differences among ethnic minority groups. Objectives This study aimed to investigate underperformance across ethnic minority groups in undergraduate pre-clinical and clinical training. Methods A longitudinal prospective cohort study of progress on a 6-year undergraduate medical course was conducted in a Dutch medical school. Participants included 1661 Dutch and 696 non-Dutch students who entered the course over a consecutive 6-year period (2002-2007). Main outcome measures were performance in Year 1 and in the pre-clinical and clinical courses. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated by logistic regression analysis for ethnic subgroups (Surinamese/Antillean, Turkish/Moroccan/African, Asian, Western) compared with Dutch students, adjusted for age, gender, pre-university grade point average (pu-GPA), additional socio-demographic variables (first-generation immigrant, urban background, first-generation university student, first language, medical doctor as parent) and previous performance at medical school. Results Compared with Dutch students, Surinamese and Antillean students specifically underperformed in the Year 1 course (pass rate: 37% versus 64%; adjusted OR 0.40, 95% CI 0.27-0.60) and the pre-clinical course (pass rate: 19% versus 41%; adjusted OR 0.57, 95% CI 0.35-0.93). On the clinical course all non-Dutch subgroups were less likely than Dutch students to receive a grade of ≥ 8.0 (at least three of five grades: 54-77% versus 88%; adjusted ORs: 0.17-0.45). Conclusions Strong ethnic disparities exist in medical school performance even after adjusting for age, gender, pu-GPA and socio-demographic variables. More subjective grading cannot be ruled out as a cause of lower grades in clinical training, but other possible explanations should be studied further to mitigate the disparities. [ABSTRACT FROM AUTHOR]

Medical Education 2011: 45: 1032-1040 Objectives A recent controlled study by our group showed that the dropout rate in the first 2 years of study of medical students selected for entry by the assessment of a combination of non-cognitive and cognitive abilities was 2.6 times lower than that of a control group of students admitted by lottery. The aim of the present study was to compare the performance of these two groups in the clinical phase. Methods A prospective cohort study was performed to compare the performance of 389 medical students admitted by selection with that of 938 students admitted by weighted lottery between 2001 and 2004. Follow-up of these cohorts lasted 5.5-8.5 years. The main outcome measures were the mean grade obtained on the first five discipline-specific clerkships by all cohorts and the mean grade achieved on all 10 clerkships by the cohorts of 2001 and 2002. Results Selected students obtained a significantly higher mean grade during their first five clerkships than lottery-admitted students (mean ± standard error [SE] 7.95 ± 0.03, 95% confidence interval [CI] 7.90-8.00 versus mean ± SE 7.84 ± 0.02, 95% CI 7.81-7.87; p < 0.001). This difference reflected the fact that selected students achieved a grade of ≥ 8.0 1.5 times more often than lottery-admitted students. An analysis of all mean grades awarded on 10 clerkships revealed the same results. Moreover, the longer follow-up period over the clerkships showed that the relative risk for dropout was twice as low in the selected student group as in the lottery-admitted student group. Conclusions The selected group received significantly higher mean grades on their first five clerkships, which could not be attributed to factors other than the selection procedure. Although the risk for dropout before the clinical phase increased somewhat in both groups, the actual dropout rate proved to be twice as low in the selected group. [ABSTRACT FROM AUTHOR]

Medical Education 2011: 45: 987-994 Context Medical students often fail to finish medical school within the designated time. An academic dismissal (AD) policy aims to enforce satisfactory progress and to enable early identification and timely support or referral of struggling students. In this study, we assessed whether the implementation of an AD policy improved study progress in the first 2 years of medical school. Additionally, we analysed its effect on the help-seeking behaviour of struggling students. Methods We compared two AD cohorts (entering in 2005 and 2006, respectively) and two non-AD cohorts (entering in 2003 and 2004, respectively) on dropout rates, Year 1 curriculum completion rates and the percentage of students with an optimal study rate (i.e. all modules completed) at 1 and 2 years after enrolment. We also measured the effect on study progress of attending the support meetings offered. Results The AD ( n = 809) and non-AD cohorts ( n = 809) did not differ significantly in dropout rate at 5 months, in Year 1 completion rate at 2 years and in the percentage of optimally performing students at 1 year after enrolment. At 2 years after enrolment, more students from the AD cohorts had left and more non-AD students demonstrated optimal performance, but effect sizes (ESs) for these differences were small. Voluntary support at 4 months was attended by AD students more often than by non-AD students (68.9% versus 39.8%; χ2(1) = 43.95, p < 0.001, ES = 0.29). The AD students who attended the support meetings completed the Year 1 curriculum more often than those who did not (73.4% versus 52.5%; χ2(1) = 10.92, p < 0.001, ES = 0.20). Attending the obligatory support meeting at 7 months had a similar effect (70.5% versus 33.3%; χ2(1) = 13.60, p < 0.001, ES = 0.23). Conclusions The presence of an AD policy did not lead to earlier dropout, higher completion rates or an improved study rate during the first 2 years at medical school. However, uptake of the support offered increased to almost 70%. Although support participants finished the Year 1 curriculum more often than non-participants, the current support system was not sufficient to improve overall study progress. [ABSTRACT FROM AUTHOR]

Context: Ethnicity-related differences in clinical grades exist. Broad sampling in assessment of clinical competencies involves multiple assessments used by multiple assessors across multiple moments. Broad sampling in assessment potentially reduces irrelevant variances and may therefore mitigate ethnic disparities in clinical grades., Objectives: Research question 1 (RQ1): to assess whether the relationship between students' ethnicity and clinical grades is weaker in a broadly sampled versus a global assessment. Research question 2 (RQ2): to assess whether larger ethnicity-related differences in grades occur when supervisors are given the opportunity to deviate from the broadly sampled assessment score., Methods: Students' ethnicity was classified as Turkish/Moroccan/African, Surinamese/Antillean, Asian, Western, and native Dutch. RQ1: 1667 students (74.3% native Dutch students) were included, who entered medical school between 2002 and 2004 (global assessment, 818 students) and between 2008 and 2010 (broadly sampled assessment, 849 students). The main outcome measure was whether or not students received ≥3 times a grade of 8 or higher on a scale from 1 to 10 in five clerkships. RQ2: 849 students (72.4% native Dutch students) were included, who were assessed by broad sampling. The main outcome measure was the number of grade points by which supervisors had deviated from broadly sampled scores. Both analyses were adjusted for gender, age, (im)migration status and average bachelor grade., Results: Research question 1: ethnicity-related differences in clinical grades were smaller in broadly sampled than in global assessment, and this was also seen after adjustments. More specifically, native Dutch students had reduced probabilities (0.87-0.65) in broadly sampled as compared with global assessment, whereas Surinamese (0.03-0.51) and Asian students (0.21-0.30) had increased probabilities of having ≥3 times a grade of 8 or higher in five clerkships. Research question 2: when supervisors were allowed to deviate from original grades, ethnicity-related differences in clinical grades were reintroduced., Conclusions: Broadly sampled assessment reduces ethnicity-related differences in grades., (© 2019 The Authors. Medical Education published by Association for the Study of Medical Education and John Wiley & Sons Ltd.)

Context: Medical schools in Western societies seek measures to increase the diversity of their student bodies with respect to ethnicity and social background. Currently, little is known about the effects of different selection procedures on student diversity., Objectives: This prospective cohort study aimed to determine performance differences between traditional and non-traditional (i.e. ethnic minority and first-generation university candidates) medical school applicants in academic and non-academic selection criteria., Methods: Applicants in 2013 (n = 703) were assessed on academic and non-academic selection criteria. They also completed a questionnaire on ethnicity and social background. Main outcome measures were 'not selected' (i.e. failure on any criteria), 'failure on academic criteria' and 'failure on non-academic criteria'. Odds ratios (ORs) with 95% confidence intervals (CIs) were estimated by logistic regression analysis for ethnic subgroups (Surinamese/Antillean, Turkish/Moroccan/African, Asian, Western) compared with Dutch applicants, adjusted for age, gender, additional socio-demographic variables (first-generation immigrant, first-generation university applicant, first language, medical doctor as parent) and pre-university grade point average (pu-GPA). Similar analyses were performed for first-generation university applicants., Results: Compared with Dutch applicants, Surinamese/Antillean applicants underperformed in the selection procedure (failure rate: 78% versus 57%; adjusted OR 2.52, 95% CI 1.07-5.94), in particular on academic criteria (failure rate: 66% versus 34%; adjusted OR 3.00, 95% CI 1.41-6.41). The higher failure rate of first-generation university applicants on academic criteria (50% versus 37%; unadjusted OR 1.66, 95% CI 1.18-2.33) was partly explained by additional socio-demographic variables and pu-GPA. The outcome measure 'failure on non-academic criteria' showed no significant differences among the ethnic or social subgroups., Conclusions: The absence of differences on non-academic criteria was promising with reference to increasing social and ethnic diversity; however, the possibility that self-selection instigated by the selection procedure is stronger in applicants from non-traditional backgrounds cannot be ruled out. Further research should also focus on why cognitive tests might favour traditional applicants., (© 2014 John Wiley & Sons Ltd.)

Objective: To describe changes of anti-Müllerian hormone (AMH) and inhibin B during low-dose gonadotropin ovulation induction (OI) treatment in women with polycystic ovary syndrome (PCOS), and thus disturbed selection of the dominant follicle., Design: Observational study., Setting: A referral fertility clinic., Patient(s): Women with PCOS (n = 48) and normo-ovulatory women (n = 23)., Intervention(s) and Main Outcome Measure(s): Serum AMH, inhibin B, FSH, and E(2) concentrations were measured at start of stimulation, on the day of follicle selection, and at administration of hCG during OI cycles and were compared with concentration measured during the normal menstrual cycle., Result(s): Development of a single dominant follicle was observed in 92% of all OI cycles, reflected by similar E(2) concentrations compared with those in spontaneous cycles. AMH concentrations were constant during low-dose ovarian stimulation. Inhibin B concentrations remained elevated in patients with PCOS, suggesting prolonged survival of small antral follicles, whereas in controls inhibin B concentrations declined during the late follicular phase., Conclusion(s): The lack of change in AMH and inhibin B concentrations suggest that follicle dynamics during low-dose stimulation seem different from those during controlled ovarian hyperstimulation. In addition, constant AMH and inhibin B levels suggest that neither AMH nor inhibin B is an accurate marker of ovarian response after low-dose gonadotropin OI in patients with PCOS., (Copyright © 2011 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.)

Objectives: We aimed to discover, through a controlled experiment, whether cognitive and non-cognitive assessment would select higher-achieving applicants to medical school than selection by lottery., Methods: We carried out a prospective cohort study to compare 389 medical students who had been admitted by selection and 938 students who had been admitted by weighted lottery, between 2001 and 2004. Main outcome measures were dropout rates, study rate (credits per year) and mean grade per first examination attempt per year. Study rates in the 4 pre-clinical years of medical school were used to categorise students' performance as average or optimal., Results: Pre-admission variables did not differ between the two groups. The main outcome of the selection experiment was that relative risk for dropping out of medical school was 2.6 times lower for selected students than for lottery-admitted controls (95% confidence interval 1.59-4.17). Significant differences between the groups in the percentage of optimally performing students and grade point average for first examination attempts were found only in the 2001 cohort, when results favoured the selected group. The results of the selection process took into account both the assessment procedure involved and the number of students who withdrew voluntarily., Conclusions: This is the first controlled study to show that assessing applicants' non-cognitive and cognitive abilities makes it possible to select students whose dropout rate will be lower than that of students admitted by lottery. The dropout rate in our overall cohort was 2.6 times lower in the selected group.

Background: Anti-Müllerian hormone (AMH) inhibits primordial follicle recruitment in the mouse ovary. We hypothesize that in women AMH signaling also regulates the usage of the primordial follicle pool and hence influences the onset of menopause. Since age at menopause has a strong genetic component, we investigated the role of AMH signaling using a candidate gene approach., Methods: In two large population-based cohorts of Dutch post-menopausal women (n = 2381 and n = 248), we examined the association between two polymorphisms, one in the AMH gene and one in the AMH type II receptor (AMHR2) gene, and natural age at menopause., Results: The AMH Ile(49)Ser polymorphism (rs10407022) was not associated with age at menopause in either cohort. In the Rotterdam cohort, the AMHR2 -482 A > G polymorphism (rs2002555) was associated with age at menopause in interaction with the number of offspring (P = 0.001). Nulliparous women homozygous for the G-allele entered menopause 2.6 years earlier compared with nulliparous women homozygous for the A-allele (P = 0.005). In the LASA cohort, women with the G/G genotype tended to enter menopause 2.8 years earlier compared with the A/A genotype (P = 0.063)., Conclusions: The observed association of the AMHR2 -482 A > G polymorphism with natural age at menopause suggests a role for AMH signaling in the usage of the primordial follicle pool in women.