Front row seat: The role MMI assessors play in widening access to medical school.

BACKGROUND: While many medical schools utilize the Multiple Mini-Interview (MMI) to help select a diverse student body, we know little about MMI assessors' roles. Do MMI assessors carry unique insights on widening access (WA) to medical school? Herein we discuss the hidden expertise and insights that assessors contribute to the conversation around WA. METHODS: Ten MMI assessors (1-10 years' experience) participated in semi-structured interviews exploring factors influencing equitable medical school recruitment. Given their thoughtfulness during initial interviews, we invited them for follow-up interviews to gain further insight into their perceived role in WA. Fourteen interviews were conducted and analyzed using a thematic analysis approach. RESULTS: Assessors expressed concerns with diversity in medicine; dissatisfaction with the status quo fueled their contributions to the selection process. Assessors advocated for greater diversity among the assessor pool, citing benefits for all students, not only those from underrepresented groups. They noted that good intentions were not enough and that medical schools can do more to include underrepresented groups' perspectives in the admissions process. CONCLUSION: Our analysis reveals that MMI assessors are committed to WA and make thoughtful contributions to the selection process. A medical school selection process, inclusive of assessors' expertise is an important step in WA.

Effects of candidates' demographics and evaluation of the virtual Multiple Mini Interview (vMMI) as a tool for selection into paediatric training in Queensland.

INTRODUCTION: The Queensland Basic Paediatric Training Network (QBPTN) is responsible for the selection of candidates into paediatric training in Queensland. The COVID-19 pandemic necessitated interviews to be conducted 'virtually' as virtual Multiple-Mini-Interviews (vMMI). The study aimed to describe the demographic characteristics of candidates applying for selection into paediatric training in Queensland, and to explore their perspectives and experiences with the vMMI selection tool. METHODOLOGY: The demographic characteristics of candidates and their vMMI outcomes were collected and analysed with a mixed methods approach. The qualitative component was comprised of seven semi-structured interviews with consenting candidates. RESULTS: Seventy-one shortlisted candidates took part in vMMI and 41 were offered training positions. The demographic characteristics of candidates at various stages of selection were similar. The mean vMMI scores were not statistically different between candidates from the Modified Monash Model 1 (MMM1) location and others [mean (SD): 43.5 (5.1) versus 41.7 (6.7), respectively, p = 0.26]. However, there was a statistically significant difference (p value 0.03) between being offered and not offered a training position for candidates from MMM2 and above. The analysis of the semi-structured interviews suggested that candidate experiences of the vMMI were influenced by the quality of the management of the technology used. Flexibility, convenience, and reduced stress were the main factors that influenced candidates' acceptance of vMMI. Perceptions of the vMMI process focused on the need to build rapport and facilitate communication with the interviewers. DISCUSSION: vMMI is a viable alternative to face-to-face (FTF) MMI. The vMMI experience can be improved by facilitating enhanced interviewer training, by making provision for adequate candidate preparation and by having contingency plans in place for unexpected technical challenges. Given government priorities in Australia, the impact of candidates' geographical location on the vMMI outcome for candidates from MMM >1 location needs to be further explored.

Validity evidence for a virtual multiple mini interview at a pharmacy program.

BACKGROUND: Numerous health professions schools have transitioned to virtual admissions interviews in recent years. While some research suggests that virtual multiple mini-interviews (vMMIs) are feasible, acceptable, and more affordable, there is a paucity of research concerning the validity of this approach. The purpose of this study was to examine the validity and reliability of vMMIs and explore differences in performance between vMMI and in-person MMIs. METHODS: Data were collected for two years of in-person MMIs and two years of vMMIs at a pharmacy program/school in the United States. An exploratory factor analysis (principal components analysis) with varimax rotation and Kaiser rule (i.e. retaining factors with eigenvalue > 1.0) was used to explore the construct validity of the vMMI data. Pearson correlation was used to examine correlations between vMMI stations and Cronbach alpha was used to determine the internal consistency of each station. Independent t-tests were used to examine differences between in-person MMI and vMMI scores. Cohen's d was used to determine effect sizes. RESULTS: Four hundred and thirty-eight (42.69%) candidates completed an in-person MMI and 588 (57.31%) completed a vMMI. Factor analysis indicated that each vMMI station formed a single factor with loads ranging from 0.86 to 0.96. The vMMI stations accounted for most of the total variance, demonstrated weak to negligible intercorrelations, and high internal consistency. Significant differences between in-person and vMMI scores were found for the teamwork-giving, teamwork-receiving, and integrity stations. Medium effect sizes were found for teamwork-giving and teamwork-receiving and a small effect size was found for integrity. CONCLUSIONS: Initial evidence suggests that the vMMI is a valid and reliable alternative to in-person MMIs. Additional research is needed to examine sources of differences in rating patterns between the two approaches and identify strategies that align with institutional priorities for recruitment and admissions.

Multiple mini-interviews is a predictor of students' academic achievements in early undergraduate medical years: a retrospective study.

BACKGROUND: Our study determined Multiple Mini-Interview (MMI) effectiveness in evaluating specific skill sets based on medical students' performances during the undergraduate years and compared the academic performances of medical students who appeared for onsite/online MMI. METHODS: A retrospective study of 140 undergraduate medical students between 2016 and 2020 included data on age, gender, pre-university results, MMI scores, and examination results. Appropriate non-parametric tests were applied to compare the students' MMI and academic performances. RESULTS: Ninety-eight students from cohorts 12 to 15 had an overall MMI score of 69.0(IQR: 65.0-73.2)/100 and an overall Cumulative Grade Point Average(GPA) of 3.64 (3.42-3.78)/5.0. Spearman's correlation revealed a significantly positive relationship between MMI and cGPA (rho = 0.23) and GPA from the first 2 semesters (GPA1 rho = 0.25, GPA2 rho = 0.27). This observation was similar to that for station A in the first year (cGPA rho = 0.28, GPA1 rho = 0.34, GPA2 rho = 0.24), and in station B (GPA4 rho = 0.25) and D (GPA3 rho = 0.28, GPA4 rho = 0.24) in the second year. Of twenty-nine cohort16 students, 17(58.6%) underwent online and 12(41.4%) offline modes of MMI assessment, respectively. The overall median MMI score was 66.6(IQR: 58.6-71.6)/100, and the overall median cGPA was 3.45 (3.23-3.58)/5.0. When comparing the median marks of cohort16 groups, the online group scored significantly higher marks for station D than the offline group (p = 0.040). CONCLUSION: Correspondence between MMI scores and cGPA predicted MMI scoring during student selection and entry process might ensure the success of their academic performance in medical school.

MBBS admission criteria as predictor of academic performance in a medical college of Pakistan.

Objective: To determine the relationship between scores obtained by students in assessments considered as admission criteria (cognitive and non-cognitive) with their academic performance in medical college. Method: This correlational study used the data of students who got admission in Shalamar Medical and Dental College (SMDC) in 2015. Spearman correlation and Multiple regression tests were carried out to determine the relationship between admission criteria (Matric, FSC, MDCAT and MMI) and academic performance in medical college (pre-clinical and clinical years). Results: There was significant positive correlation between scores obtained in MDCAT and pre-clinical years. When combined, MDCAT and MMI scores showed a significant positive correlation with scores obtained by students in clinical years. Scores obtained by students in pre-clinical years strongly correlated with their performance in clinical years. While scores obtained by students in FSC showed negative correlation with clinical year scores, significantly. Conclusion: It is concluded that the tools used for admission criteria should include both cognitive and non-cognitive elements. MDCAT is a good predictor of academic performance in pre-clinical years however it can only predict performance in clinical years when combined with MMI since MMI assesses the non-cognitive attributes (communication, empathy, ethics etc.) required in those years. FSC should not be given weightage as admission criteria owing to a lot of variability in the exams and scoring of different academic boards of the country.

Investigating the Relationship between Multiple Mini-Interview Communication Skills Outcomes and First-Year Communication Skills Performance and Reflections in Students at the Ontario Veterinary College.

An important outcome for veterinary education is ensuring that graduates can provide an appropriate level of care to patients and clients by demonstrating core competencies such as communication skills. In addition, accreditation requirements dictate the need to assess learning outcomes and may drive the motivation to incorporate relevant and appropriate methods of entry assessments for incoming students. Predicting the success of Doctor of Veterinary Medicine (DVM) students based on entry assessment performance has been scantly investigated and can be challenging. Specifically, no research presently exists on predicting DVM students' first-year performance in relation to communication skills at the time of program entry. Objectives of this exploratory study were to investigate (a) the relationship between communication skills outcomes from multiple mini-interview (MMI) data and first-year academic performance related to communication and (b) the relationship between communication skills outcomes from MMI data and self-reported first-year communication reflections. A retrospective single-class study was conducted. Data were analyzed using descriptive statistics, correlation statistics, regression models, and paired t-tests to identify relationships among variables. Paired t-tests showed that students felt more prepared to meet second-year expectations over first-year expectations. Spearman's correlation revealed an association between MMI communication scores and one pre-year 1 survey question related to professionalism. Noo relationships were observed between MMI communication scores and marks from a self-reflection assignment in a communications course, or grades from a clinical medicine course that included clinical communication. The merit for further exploration of the relationship between communication competencies and student performance is discussed.

Exploring sociodemographic subgroup differences in multiple mini-interview (MMI) performance based on MMI station type and the implications for the predictive fairness of the Hamburg MMI.

BACKGROUND: Sociodemographic subgroup differences in multiple mini-interview (MMI) performance have been extensively studied within the MMI research literature, but heterogeneous findings demand a closer look at how specific aspects of MMI design (such as station type) affect these differences. So far, it has not been investigated whether sociodemographic subgroup differences imply that an MMI is biased, particularly in terms of its predictive validity. METHODS: Between 2010 and 2017, the University Medical Centre Hamburg-Eppendorf (UKE) tested 1438 candidates in an MMI who also provided sociodemographic data and agreed to participate in this study. Out of these, 400 candidates were admitted and underwent a first objective structured clinical examination (OSCE) after one and a half years, including one station assessing communication skills. First, we analyzed the relationship between gender, age, native language and medical family background and MMI station performance including interaction terms with MMI station type (simulation, interview, and group) in a hierarchical linear model. Second, we tested whether the prediction of OSCE overall and communication station performance in particular differed depending on sociodemographic background by adding interaction terms between MMI performance and gender, age and medical family background in a linear regression model. RESULTS: Young female candidates performed better than young male candidates both at interview and simulation stations. The gender difference was smaller (simulation) or non-significant (interview) in older candidates. There were no gender or age effects in MMI group station performance. All effects were very small, with the overall model explaining only 0.6% of the variance. MMI performance was not related to OSCE overall performance but significantly predicted OSCE communication station performance with no differences in the prediction for sociodemographic subgroups. CONCLUSIONS: The Hamburg MMI is fair in its prediction of OSCE communication scores. Differences in MMI station performance for gender and age and their interaction with MMI station type can be related to the dimensions assessed at different station types and thus support the validity of the MMI. Rather than being threats to fairness, these differences could be useful for decisions relating to the design and use of an MMI.

Assessing noncognitive domains of respiratory therapy applicants: Messick's framework appraisal of the multiple mini-interview.

Educators who assess incoming applicants into a health professional training program are looking for a wide array of cognitive and noncognitive skills that best predict success in the program and as a future practicing professional. While aptitude tests generally measure cognitive skills, noncognitive constructs are more difficult to measure appropriately. The traditional method of measuring noncognitive constructs has been the panel interview. Panel interviews have been described as inconsistent in measuring noncognitive domains and consistently reported as unreliable and susceptible to bias. An alternate interview method used in many health professions schools is the multiple mini-interview (MMI) that was specifically designed to assess noncognitive domains in health professions education. This paper discusses the purpose of using the MMI, how the MMI is conducted, specific domains of focus for the MMI, and the feasibility of creating an MMI. Finally, the paper uses Messick's framework on validity to guide the consideration of the MMI.

Qualitative analysis of MMI raters' scorings of medical school candidates: A matter of taste?

Recent years have seen leading medical educationalists repeatedly call for a paradigm shift in the way we view, value and use subjectivity in assessment. The argument is that subjective expert raters generally bring desired quality, not just noise, to performance evaluations. While several reviews document the psychometric qualities of the Multiple Mini-Interview (MMI), we currently lack qualitative studies examining what we can learn from MMI raters' subjectivity. The present qualitative study therefore investigates rater subjectivity or taste in MMI selection interview. Taste (Bourdieu 1984) is a practical sense, which makes it possible at a pre-reflective level to apply 'invisible' or 'tacit' categories of perception for distinguishing between good and bad. The study draws on data from explorative in-depth interviews with 12 purposefully selected MMI raters. We find that MMI raters spontaneously applied subjective criteria-their taste-enabling them to assess the candidates' interpersonal attributes and to predict the candidates' potential. In addition, MMI raters seemed to share a taste for certain qualities in the candidates (e.g. reflectivity, resilience, empathy, contact, alikeness, 'the good colleague'); hence, taste may be the result of an ongoing enculturation in medical education and healthcare systems. This study suggests that taste is an inevitable condition in the assessment of students' performance. The MMI set-up should therefore make room for MMI raters' taste and their connoisseurship, i.e. their ability to taste, to improve the quality of their assessment of medical school candidates.

Multiple mini interview (MMI) for general practice training selection in Australia: interviewers' motivation.

BACKGROUND: Multiple Mini Interviews (MMIs) are being used by a growing number of postgraduate training programs and medical schools as their interview process for selection entry. The Australian General Practice and Training (AGPT) used a National Assessment Centre (NAC) approach to selection into General Practice (GP) Training, which include MMIs. Interviewing is a resource intensive process, and implementation of the MMI requires a large number of interviewers, with a number of candidates being interviewed simultaneously. In 2015, 308 interviewers participated in the MMI process - a decrease from 340 interviewers in 2014, and 310 in 2013. At the same time, the number of applicants has steadily increased, with 1930 applications received in 2013; 2254 in 2014; and 2360 in 2015. This has raised concerns regarding the increasing recruitment needs, and the need to retain interviewers for subsequent years of MMIs. In order to investigate interviewers' reasons for participating in MMIs, we utilised self-determination theory (SDT) to consider interviewers' motivation to take part in MMIs at national selection centres. METHODS: In 2015, 308 interviewers were recruited from 17 Regional Training Providers (RTPs) to participate in the MMI process at one of 15 NACs. For this study, a convenience sample of NAC sites was used. Forty interviewers were interviewed (n = 40; 40/308 = 13%) from five NACs. Framework analysis was used to code and categorise data into themes. RESULTS: Interviewers' motivation to take part as interviewers were largely related to their sense of duty, their desire to contribute their expertise to the process, and their desire to have input into selection of GP Registrars; a sense of duty to their profession; and an opportunity to meet with colleagues and future trainees. Interviewers also highlighted factors hindering motivation, which sometimes included the large number of candidates seen in one day. CONCLUSION: Interviewers' motivation for contributing to the MMIs was largely related to their desire to contribute to their profession, and ultimately improve future patient care. Interviewers recognised the importance of interviewing, and felt their individual roles made a crucial contribution to the profession of general practice. Good administration and leadership at each NAC is needed. By gaining an understanding of interviewers' motivation, and enhancing this, engagement and retention of interviewers may be increased.

Using the multiple mini interview as an assessment strategy within the first year of a health professions curriculum.

BACKGROUND: The multiple mini-interview (MMI) is a common assessment strategy used in student selection. The MMI as an assessment strategy within a health professions curriculum, however, has not been previously studied. This study describes the integration of a 5-station MMI as part of an end-of-year capstone following the first year of a health professions curriculum. The goal of the capstone MMI was to assess professional competencies of students and to offer formative feedback to prepare students for their upcoming clinical practice experiences. The purpose of this study was to evaluate the psychometric properties of an MMI integrated into a health professions curriculum. METHODS: Five capstone MMI stations were designed to each evaluate a single construct assessed by one rater. A principal component analysis (PCA) was used to evaluate the structure of the model and its ability to distinguish 5 separate constructs. A Multifaceted Rasch Measurement (MFRM) model assessed student performance and estimated the sources of measurement error attributed to 3 facets: student ability, rater stringency, and station difficulty. At the conclusion, students were surveyed about the capstone MMI experience. RESULTS: The PCA confirmed the MMI reliably assessed 5 unique constructs and performance on each station was not strongly correlated with one another. The 3-facet MFRM analysis explained 58.79% of the total variance in student scores. Specifically, 29.98% of the variance reflected student ability, 20.25% reflected rater stringency, and 8.56% reflected station difficulty. Overall, the data demonstrated an acceptable fit to the MFRM model. The majority of students agreed the MMI allowed them to effectively demonstrate their communication (80.82%), critical thinking (78.77%), and collaboration skills (70.55%). CONCLUSIONS: The MMI can be a valuable assessment strategy of professional competence within a health professions curriculum. These findings suggest the MMI is well-received by students and can produce reliable results. Future research should explore the impact of using the MMI as a strategy to monitor longitudinal competency development and inform feedback approaches.

Hidden item variance in multiple mini-interview scores.

The extant literature has largely ignored a potentially significant source of variance in multiple mini-interview (MMI) scores by "hiding" the variance attributable to the sample of attributes used on an evaluation form. This potential source of hidden variance can be defined as rating items, which typically comprise an MMI evaluation form. Due to its multi-faceted, repeated measures format, reliability for the MMI has been primarily evaluated using generalizability (G) theory. A key assumption of G theory is that G studies model the most important sources of variance to which a researcher plans to generalize. Because G studies can only attribute variance to the facets that are modeled in a G study, failure to model potentially substantial sources of variation in MMI scores can result in biased estimates of variance components. This study demonstrates the implications of hiding the item facet in MMI studies when true item-level effects exist. An extensive Monte Carlo simulation study was conducted to examine whether a commonly used hidden item, person-by-station (p × s|i) G study design results in biased estimated variance components. Estimates from this hidden item model were compared with estimates from a more complete person-by-station-by-item (p × s × i) model. Results suggest that when true item-level effects exist, the hidden item model (p × s|i) will result in biased variance components which can bias reliability estimates; therefore, researchers should consider using the more complete person-by-station-by-item model (p × s × i) when evaluating generalizability of MMI scores.

Candidate Evaluation Using Targeted Construct Assessment in the Multiple Mini-Interview: A Multifaceted Rasch Model Analysis.

Construct: A 7-station multiple mini-interview (MMI) circuit was implemented and assessed for 214 candidates rated by 37 interviewers (N = 1,498 ratings). The MMI stations were designed to assess 6 specific constructs (adaptability, empathy, integrity, critical thinking, teamwork [receiving instruction], teamwork [giving instruction]) and one open station about the candidate's interest in the school. BACKGROUND: Despite the apparent benefits of the MMI, construct-irrelevant variance continues to be a topic of study. Refining the MMI to more effectively measure candidate ability is critical to improving our ability to identify and select candidates that are equipped for success within health professions education and the workforce. APPROACH: Each station assessed a single construct and was rated by a single interviewer who was provided only the name of the candidate and no additional information about the candidate's background, application, or prior academic performance. All interviewers received online and in-person training in the fall prior to the MMI and the morning of the MMI. A 3-facet multifaceted Rasch measurement analysis was completed to determine interviewer severity, candidate ability, and MMI station difficulty and examine how the model performed overall (e.g., rating scale). RESULTS: Altogether, the Rasch measures explained 62.84% of the variance in the ratings. Differences in candidate ability explained 45.28% of the variance in the data, whereas differences in interviewer severity explained 16.09% of the variance in the data. None of the interviewers had Infit or Outfit mean-square scores greater than 1.7, and only 2 (5.4%) had mean-square scores less than 0.5. CONCLUSIONS: The data demonstrated acceptable fit to the multifaceted Rasch measurement model. This work is the first of its kind in pharmacy and provides insight into the development of an MMI that provides useful and meaningful candidate assessment ratings for institutional decision making.

Reliability of Multiple Mini-Interviews and traditional interviews within and between institutions: a study of five California medical schools.

BACKGROUND: Many medical schools use admissions Multiple Mini-Interviews (MMIs) rather than traditional interviews (TIs), partly because MMIs are thought to be more reliable. Yet prior studies examined single-school samples of candidates completing either an MMI or TI (not both). Using data from five California public medical schools, the authors examined the within- and between-school reliabilities of TIs and MMIs. METHODS: The analyses included applicants interviewing at ≥1 of the five schools during 2011-2013. Three schools employed TIs (TI1, TI2, TI3) and two employed MMIs (MMI1, MMI2). Mixed linear models accounting for nesting of observations within applicants examined standardized TI and MMI scores (mean = 0, SD = 1), adjusting for applicant socio-demographics, academic metrics, year, number of interviews, and interview date. RESULTS: A total of 4993 individuals (completing 7516 interviews [TI = 4137, MMI = 3379]) interviewed at ≥1 school; 428 (14.5%) interviewed at both MMI schools and 687 (20.2%) at more than one TI school. Within schools, inter-interviewer consistency was generally qualitatively lower for TI1, TI2, and TI3 (Pearson's r 0.07, 0.13, and 0.29, and Cronbach's α, 0.40, 0.44, and 0.61, respectively) than for MMI1 and MMI 2 (Cronbach's α 0.68 and 0.60, respectively). Between schools, the adjusted intraclass correlation coefficient was 0.27 (95% CI 0.20-0.35) for TIs and 0.47 (95% CI 0.41-0.54) for MMIs. CONCLUSIONS: Within and between-school reliability was qualitatively higher for MMIs than for TIs. Nonetheless, TI reliabilities were higher than anticipated from prior literature, suggesting TIs may not need to be abandoned on reliability grounds if other factors favor their use.

Reliability and acceptability of six station multiple mini-interviews: past-behavioural versus situational questions in postgraduate medical admission.

BACKGROUND: The multiple mini-interview (MMI) is increasingly used for postgraduate medical admissions and in undergraduate settings. MMIs use mostly Situational Questions (SQs) rather than Past-Behavioural Questions (PBQs). A previous study of MMIs in this setting, where PBQs and SQs were asked in the same order, reported that the reliability of PBQs was non-inferior to SQs and that SQs were more acceptable to candidates. The order in which the questions are asked may affect reliability and acceptability of an MMI. This study investigated the reliability of an MMI using both PBQs and SQs, minimising question order bias. Acceptability of PBQs and SQs was also assessed. METHODS: Forty candidates applying for a postgraduate medical admission for 2016-2017 were included; 24 examiners were used. The MMI consisted of six stations with one examiner per station; a PBQ and a SQ were asked at every station, and the order of questions was alternated between stations. Reliability was analysed for scores obtained for PBQs or SQs separately, and for both questions. A post-MMI survey was used to assess the acceptability of PBQs and SQs. RESULTS: The generalisability (G) coefficients for PBQs only, SQs only, and both questions were 0.87, 0.96, and 0.80, respectively. Decision studies suggested that a four-station MMI would also be sufficiently reliable (G-coefficients 0.82 and 0.94 for PBQs and SQs, respectively). In total, 83% of participants were satisfied with the MMI. In terms of face validity, PBQs were more acceptable than SQs for candidates (p = 0.01), but equally acceptable for examiners (88% vs. 83% positive responses for PBQs vs. SQs; p = 0.377). Candidates preferred PBQs to SQs when asked to choose one, though this difference was not significant (p = 0.081); examiners showed a clear preference for PBQs (p = 0.007). CONCLUSIONS: Reliability and acceptability of six-station MMI were good among 40 postgraduate candidates; modelling suggested that four stations would also be reliable. SQs were more reliable than PBQs. Candidates found PBQs more acceptable than SQs and examiners preferred PBQs when they had to choose between the two. Our findings suggest that it is better to ask both PBQs and SQs during an MMI to maximise acceptability.

The multiple mini-interview for emergency medicine resident selection.

BACKGROUND: The Multiple Mini-Interview (MMI) uses multiple, short-structured contacts to evaluate communication and professionalism. It predicts medical school success better than the traditional interview and application. Its acceptability and utility in emergency medicine (EM) residency selection are unknown. OBJECTIVE: We theorized that participants would judge the MMI equal to a traditional unstructured interview and it would provide new information for candidate assessment. METHODS: Seventy-one interns from 3 programs in the first month of training completed an eight-station MMI focused on EM topics. Pre- and post-surveys assessed reactions. MMI scores were compared with application data. RESULTS: EM grades correlated with MMI performance (F[1, 66] = 4.18; p < 0.05) with honors students having higher scores. Higher third-year clerkship grades were associated with higher MMI performance, although this was not statistically significant. MMI performance did not correlate with match desirability and did not predict most other components of an application. There was a correlation between lower MMI scores and lower global ranking on the Standardized Letter of Recommendation. Participants preferred a traditional interview (mean difference = 1.36; p < 0.01). A mixed format (traditional interview and MMI) was preferred over a MMI alone (mean difference = 1.1; p < 0.01). MMI performance did not significantly correlate with preference for the MMI. CONCLUSIONS: Although the MMI alone was viewed less favorably than a traditional interview, participants were receptive to a mixed-methods interview. The MMI does correlate with performance on the EM clerkship and therefore can measure important abilities for EM success. Future work will determine whether MMI performance predicts residency performance.

An Exploration of the Relationship Between Pharmacy School Admission Variables and PGY1 Pharmacy Residency Program Match.

OBJECTIVE: To explore the relationship between pharmacy school admission variables and matching to a postgraduate year 1 (PGY1) pharmacy residency program. METHODS: Demographic data, academic indicators, and application review scores were collected for the 2017-2020 Doctor of Pharmacy (PharmD) graduating classes. Multiple mini-interview (MMI) scores were collected for the 2018-2020 PharmD graduating classes. Postgraduate year 1 matching data were collected for all students. Bivariate analyses were performed comparing students who matched to a PGY1 residency versus those who did not match versus those who did not pursue a residency. Logistic regression modeling was performed to explore predictors of matching to a PGY1 residency program. RESULTS: A total of 616 students were included. Bivariate analyses revealed that students who matched to a PGY1 had a higher undergraduate grade point average, higher pharmacy college admissions test composite score, were younger in age, and were more likely to identify as female. Students who matched also scored higher on MMI stations with constructs related to integrity, adaptability, critical thinking, and why pursuing our school. Logistic regression modeling found that an increase in age was associated with lower odds of matching to a PGY1 (0.88 [0.78-0.99]) and an increase in composite MMI station score was associated with higher odds of matching (1.8 [1.31-2.47]). CONCLUSION: Several pharmacy school admission variables were found to be associated with successful matching to a PGY1 residency. These findings have the potential for impact at a programmatic level when evaluating the weight of certain criteria for admission decisions and at the individual student level when providing career services support.

Increasing access to the profession: Admissions lessons learned from the pandemic.

INTRODUCTION: The disruptions induced by the COVID-19 pandemic have forced quick and significant changes to recruitment and admissions practices in colleges of pharmacy. This process has helped to identify barriers and challenges for prospective students. At the University of North Carolina Eshelman School of Pharmacy, some changes were already under consideration prior to the pandemic, such as moving to test-optional admissions and allowing remote interviews, while new considerations included offering the entire recruitment and admissions process remotely. METHODS: In 2020-2021, the decision was made to move to test-optional admissions. A separate decision was made to conduct interviews remotely. Data from the admission cycle were collected from the Pharmacy College Application Service as part of the standard admissions process and exported for analysis. Descriptive statistics (mean ±â€¯SD) were used. RESULTS: Completed applications increased by 59.1% in 2020-2021 from the previous year. Applications increased by 9.8% from underrepresented students, by 6.2% from those with a bachelor's degree, and by 8.4% by out of state students. Other admissions metrics, such as the mean grade point average (3.50) and mean Pharmacy College Admissions Test composite percentile (88%), did not change. CONCLUSIONS: The COVID-19 pandemic experience validated our perspective that we must continue to embrace change and seize opportunities to reduce barriers for prospective students to improve access to the profession. The changes that this pandemic has necessitated may help to close the gaps in accessing health professions education.

A Semistructured Interview for Surgical Residency Targeting Nontechnical Skills.

OBJECTIVE: We review the development, implementation, and initial outcomes of a semistructured interview process to assess the nontechnical skills of surgical residency applicants. DESIGN: In 2018, we restructured our residency selection interview process. Through semistructured faculty interviews, we sought to evaluate candidates along seven nontechnical skills (grit, ownership, rigor, teamwork, presence, impact, and organizational alignment). We plotted each candidate's scores on a radar plot for graphical representation and calculated the plot area of each candidate. We retrospectively evaluated 3 years of data, comparing the nontechnical skill scores of matriculants into the training program to those of nonmatriculants. SETTING: Tenwek Hospital is a 361-bed tertiary teaching and referral hospital in rural western Kenya with a 5-year general surgery residency program. PARTICIPANTS: Thirty-one applicants were interviewed over 3 years. Thirteen matriculated into the program. RESULTS: Scores for grit, (4.8 vs 3.9; p = 0.0004), impact (4.2 vs 3.5; p = 0.014), ownership (4.2 vs 3.6; p = 0.01), and organizational alignment (4.3 vs 3.8; p = 0.008) were significantly higher in matriculants. CONCLUSIONS: This semistructured interview process provides a robust and beneficial mechanism for assessing applicants' nontechnical skills, which may allow for the matriculation of more well-rounded candidates into surgical residency and, ultimately, surgical practice.

Associations between communication OSCE performance and admission interviews in medical education.

OBJECTIVE: To investigate associations between medical students' communication and other clinical skills assessed in OSCEs and MMIs performance upon admission by developing an assessment strategy based on an internationally acknowledged curriculum framework. METHODS: Between July 2019 and March 2020, 365 medical students in the 4th and 5th semester took two OSCEs containing 10 5-minute stations examining communication and other clinical skills. We used a European conceptual framework to determine the content validity of the communication score and calculated scores of communication and other clinical skills. We assessed students' OSCE performance and estimated multiple regressions to predict its association with MMIs. RESULTS: The multiple linear regressions showed that students' MMI performance upon admission is significantly associated with the communication score (b = 0.32, p = 0.006) but not the clinical score (b = 0.19, p = 0.121), when controlling for gender and cognitive criteria. CONCLUSIONS: Our assessment strategy designed to distinguish between different areas of competence provides a more thorough description of the positive relationship between OSCE performance and MMIs. PRACTICE IMPLICATIONS: We developed a communication skills assessment strategy that can be easily applied by medical schools that use OSCEs as a training or assessment method.