Association of applicant demographic factors with medical school acceptance.

BACKGROUND: Medical school acceptance rates in the United States (US) have been lower for applicants who identify as Underrepresented-in-Medicine (UiM) compared to non-UiM applicants. The gap between UiM and no-UiM groups is narrowing in recent years. Less well-studied are associations of acceptance decisions with family income and parental education. This study's purpose is to evaluate the relationships between medical school acceptance and family income, parental education status, racial/ethnic background, Grade Point Average (GPA), Medical College Admission Test (MCAT) score, and participation in extracurricular activities. METHODS: This is a cross-sectional study of first-time US medical school applicants between 2017 and 2020. Acceptance rates for first-time applicants were calculated for first-generation (FG), low-income (LI), and UiM applicants. Associations of these attributes with MCAT scores, science GPAs, and seven categories of extracurricular activities were evaluated. Regression analyses estimated associations between acceptance to medical school with all variables with and without interaction terms (FG*URM, LI*URM, FG*LI). RESULTS: The overall acceptance rate for first-time applicants from 2017-2020 was 45.3%. The acceptance rates among FG, LI and UiM applicants were 37.9%, 39.6% and 44.2%, respectively. In univariable logistic regression analyses, acceptance was negatively associated with being FG (OR: 0.68, CI: 0.67-0.70), LI (OR: 0.70, CI: 0.69-0.72), and UiM (OR: 0.95, CI: 0.93-0.97). In multivariable regression, acceptance was most strongly associated with science GPA (OR: 7.15, CI: 6.78-7.54 for the highest quintile) and UiM (OR: 5.56, CI: 5.48-5.93) status and MCAT score (OR: 1.19, CI: 1.18-1.19), FG (OR: 1.14, CI: 1.10-1.18), and most extracurricular activities. Including interaction terms revealed a negative association between acceptance and LI (OR:0.90, CI: 0.87-0.94) and FG was no longer significant (OR:1.10, CI:0.96-1.08). CONCLUSIONS: Collectively these results suggest medical school admissions committees may be relying on holistic admission practices. While MCAT and GPA scores continue to predict acceptance, individuals from racially and ethnically UiM backgrounds have favorable odds of acceptance when controlling for MCAT and GPA. However, these positive associations were not seen for low-income and first-generation applicants. Additional preparation for college and the MCAT for these latter groups may help further diversify the medical profession.

Increasing Diversity in the Physician Workforce: Pathway Programs and Predictive Analytics.

PROBLEM: Lack of diversity in the physician workforce has well-documented negative impacts on health outcomes. Evidence supports the use of pathway or pipeline programs to recruit underrepresented in medicine students. However, data on how a pathway program should deliver instruction are lacking. This report describes a multiyear project to build such a system with the goal of increasing diversity within medical school cohorts and ultimately the physician workforce. APPROACH: In the 2015-2016 academic year, the Ponce Health Sciences University started a 3-phase project to create a data-driven medical school feeder system by coupling a pathway program with predictive analytics. Phase 1 launched the pathway program. Phase 2 developed and validated a predictive model that estimates United States Medical Licensing Examination (USMLE) Step 1 performance. Phase 3 is underway and focuses on adoption, implementation, and support. OUTCOMES: Data analysis compared 2 groups of students (pathway vs direct) across specific factors, including Medical College Admission Test (MCAT) score, undergraduate grade point average (GPA), first-generation status, and Step 1 exam performance. Statistically significant differences were found between the 2 groups on the MCAT exam and undergraduate GPA; however, no significant differences were found between groups for first-generation status and performance on the Step 1 exam. This finding supports the authors' hypothesis that although pathway students have significantly lower mean MCAT exam scores compared with direct students, pathway students perform just as well on the USMLE Step 1 exam. NEXT STEPS: Next steps include expanding the project to another campus, adding more socioeconomic status and first-generation data, and identifying best curricular predictors. The authors recommend that medical school programs use pathway programs and predictive analytics to create a more data-centered approach to accepting students with the goal of increasing physician workforce diversity.

Self-Reported Disadvantage in Medical School Admissions: A Call to Review, Revise, and Further Advance Holistic Review.

PURPOSE: This study examined how applicants interpret the self-reported disadvantaged (SRD) question in the American Medical College Application Service (AMCAS) application. METHOD: Data from 129,262 applicants who applied through AMCAS from 2017 through 2019 were used, including financial and family history, demographic characteristics, and work status and residence. Fifteen applicants from the 2020 and 2021 AMCAS cycles were interviewed about their experiences with the SRD question. RESULTS: Large effects were found for SRD applicants with fee assistance waivers ( h = 0.89), Pell grants ( h = 1.21), state or federal aid ( h = 1.10), and parents with less education ( h = 0.98) and non-SRD applicants with a large proportion of their education paid by family ( d = 1.03). Another large difference was found for reported family income distribution (73% of SRD applicants reporting family income < $50,000 vs 15% of non-SRD applicants). More SRD applicants were Black or Hispanic (26% vs 16% and 5% vs 5%), Deferred Action for Childhood Arrivals recipients (11% vs 2%), born outside the United States (32% vs 16%), and raised in a medically underserved area (60% vs 14%). There was a moderate effect for first-generation to college SRD applicants ( h = 0.61). SRD applicants had lower Medical College Admission Test scores ( d = 0.62) and overall and science grade point averages ( d = 0.50 and 0.49, respectively) but no meaningful differences in acceptance or matriculation rates. The interviews identified 5 themes: (1) unclear disadvantage definition; (2) different perceptions of disadvantage and overcoming challenges or obstacles ; (3) identification as disadvantaged or not; (4) SRD essay content; and (5) concerns about lack of transparency in how the SRD question is used in admissions. CONCLUSIONS: Revising the SRD question by including context, phrasing, and instructions for broader experience categories might be beneficial because of lack of transparency and understanding.

First-generation and continuing-generation college graduates' application, acceptance, and matriculation to U.S. medical schools: a national cohort study.

Many U.S. medical schools conduct holistic review of applicants to enhance the socioeconomic and experiential diversity of the physician workforce. The authors examined the role of first-generation college-graduate status on U.S. medical school application, acceptance, and matriculation, hypothesizing that first-generation (vs. continuing-generation) college graduates would be less likely to apply and gain acceptance to medical school.Secondary analysis of de-identified data from a retrospective national-cohort study was conducted for individuals who completed the 2001-2006 Association of American Medical Colleges (AAMC) Pre-Medical College Admission Test Questionnaire (PMQ) and the Medical College Admissions Test (MCAT). AAMC provided medical school application, acceptance, and matriculation data through 06/09/2013. Multivariable logistic regression models identified demographic, academic, and experiential variables independently associated with each outcome and differences between first-generation and continuing-generation students. Of 262,813 PMQ respondents, 211,216 (80.4%) MCAT examinees had complete data for analysis and 24.8% self-identified as first-generation college graduates. Of these, 142,847 (67.6%) applied to U.S. MD-degree-granting medical schools, of whom 86,486 (60.5%) were accepted, including 14,708 (17.0%) first-generation graduates; 84,844 (98.1%) acceptees matriculated. Adjusting for all variables, first-generation (vs. continuing-generation) college graduates were less likely to apply (odds ratio [aOR] 0.84; 95% confidence interval [CI], 0.82-0.86) and be accepted (aOR 0.86; 95% CI, 0.83-0.88) to medical school; accepted first-generation college graduates were as likely as their continuing-generation peers to matriculate. Students with (vs. without) paid work experience outside hospitals/labs/clinics were less likely to apply, be accepted, and matriculate into medical school. Increased efforts to mitigate structural socioeconomic vulnerabilities that may prevent first-generation college students from applying to medical school are needed. Expanded use of holistic review admissions practices may help decision makers value the strengths first-generation college graduates and other underrepresented applicants bring to medical educationand the physician workforce.

Early prediction of the risk of scoring lower than 500 on the COMLEX 1.

BACKGROUND: The Comprehensive Osteopathic Medical Licensing Examination of the United States Level 1 (COMLEX 1) is important for medical students to be able to graduate. There is a glaring need to identify students who are at a significant risk of performing poorly on COMLEX 1 as early as possible so that extra assistance can be provided to those students. Our goal is to produce a reliable predictive model to identify students who are at risk of scoring lower than 500 on COMLEX 1 at the earliest possible time. METHODS: Academic data from medical students who matriculated at Rocky Vista University College of Osteopathic Medicine between 2011 and 2017 were obtained. Odds ratios were used to assess the predictors for scoring lower than 500 on COMLEX 1. Correlation with COMLEX 1 scores was assessed with Pearson correlation coefficient. The predictive models were developed by multiple logistic regression, backward logistic regression, and logistic regression with average scores in courses in the first three semesters, and were based on performances on the Medical College Admissions Test (MCAT) before admission, as well as students' performances in preclinical courses during the first three semesters. The models were generated in about 82% of the student performance data and were then validated in the remaining 18% of the data. RESULTS: Odds ratios showed that MCAT scores and final grades in each course in the first three semesters were significant in predicting a score lower than 500 on COMLEX 1. Performances in third-semester courses including Renal System II, Cardiovascular System II, and Respiratory System II were most important in prediction. The three predictive models had sensitivities of 65.8 -71%, and specificities of 83.2 - 88.2% in predicting a score lower than 500 on COMLEX 1. CONCLUSIONS: Lower MCAT scores and lower grades in the first three semesters of medical school predict scoring lower than 500 on COMLEX 1. Students who are identified at risk by our models will have a 65.8 -71% chance of actually scoring lower than 500 on COMLEX 1. Those students will have enough time to receive assistance before taking COMLEX 1.

Admissions Is Not Enough: The Racial Achievement Gap in Medical Education.

The achievement gap is a disparity in academic and standardized test performance that exists between White and underrepresented minority (URM) students that begins as early as preschool and worsens as students progress through the educational system. Medical education is not immune to this inequality. URM medical students are more likely to experience delayed graduation and course failure, even after accounting for science grade point average and Medical College Admission Test performance. Moreover, URM students are more likely to earn lower scores on licensing examinations, which can have a significant impact on their career trajectory, including specialty choice and residency competitiveness. After the release of preliminary recommendations from the Invitational Conference on USMLE Scoring (InCUS) and public commentary on these recommendations, the National Board of Medical Examiners and Federation of State Medical Boards announced that the United States Medical Licensing Examination (USMLE) Step 1 would transition from a 3-digit numeric score to pass/fail scoring. Given that another of InCUS's recommendations was to "minimize racial demographic differences that exist in USMLE performance," it is paramount to consider the impact of this scoring change on URM medical students specifically. Holistic admissions are a step in the right direction of acknowledging that URM students often travel a further distance to reach medical school. However, when residency programs emphasize USMLE performance (or any standardized test score) despite persistent test score gaps, medical education contributes to the disproportionate harm URM students face and bolsters segregation across medical specialties. This Perspective provides a brief explanation of the achievement gap, its psychological consequences, and its consequences in medical education; discusses the potential effect of the Step 1 scoring change on URM medical students; and provides a review of strategies to redress this disparity.

What Influences the Decision to Interview a Candidate for Medical School?

INTRODUCTION: Holistic review, in which medical schools seek to balance applicant attributes and experiences alongside traditional academic metrics in making admissions decisions, has been in place for over a decade. Medical school applicants and the admissions' community are still trying to understand the impact of holistic review on the composition of those medical schools choose to interview and accept. MATERIALS AND METHOD: The study cohort included all candidates who applied to Uniformed Services University of the Health Sciences (USU) in 2014, 2015, and 2016 (N = 8,920). We conducted logistic regression analysis to examine the associations between the sociodemographic, academic, and military service variables of applicants applying to the School of Medicine and offers for interview. RESULTS: Medical College Admission Test scores and undergraduate grade point averages were important in predicting who would receive an interview. Having military experience, being a woman, and being self-reported African American race also predicted a higher likelihood of receiving an interview invitation. For example, controlling for all other variables in the model, if an applicant had previous military experience, the odds of being invited for interview was about 4 times that of an applicant who had no previous military experience. Leave this for the text and discussion. The resulting pool of interviewed and accepted students more increasingly represented the Military Health Service population served. CONCLUSIONS: The use of holistic review generated a class with a composition different from that which would be predicted by Medical College Admission Test and grade point average alone. Further, holistic review produced an interview pool and class more representative of the wider Military Health Service beneficiary population. In the case of USU, holistic review allowed the school to better meet its mission to create a representative class able to "care for those in harm's way."

Comprehensive Medical College Admission Test Preparatory Course as a Strategy to Encourage Premedical Students to Pursue Osteopathic Medicine in Rural Areas.

CONTEXT: Comprehensive Medical College Admission Test (MCAT) preparatory courses could potentially promote interest among premedical students to pursue careers in osteopathic medicine in underserved areas. OBJECTIVE: To determine whether a comprehensive 16-week course centered on MCAT preparation and exposure to an osteopathic medical school setting will promote interest among premedical students to become osteopathic physicians in the rural Southwest. METHODS: At the Burrell College of Osteopathic Medicine in Las Cruces, New Mexico, undergraduate premedical students from the surrounding rural and urban areas completed an all-inclusive 16-week MCAT preparation course. Students were required to have completed medical school prerequisite courses and have a minimum 3.0 grade point average. The program included interactive instructional sessions for teaching material pertinent to the MCAT, an introduction to osteopathic philosophy, workshops for application preparation, a tour of the medical school facilities, full-length practice tests, and mock interviews. After course completion with at least 80% attendance, a survey was conducted to identify effectiveness and outcomes of the course. The survey used a Likert scale that ranged from 1 (strongly disagree) to 5 (strongly agree). RESULTS: Of the 170 student participants, 163 completed the survey. After completing the course, participants felt more knowledgeable about the true nature of medical school and osteopathic medicine (weighted averages, 4.26-4.40) than before the course. Compared with attitudes before taking the course, participants were more inclined to attend an osteopathic medical school and practice rural medicine in the southwestern United States (weighted averages, 4.16-4.45). Participants who completed the course also felt that they were better prepared to take the MCAT (weighted average, 4.37). CONCLUSION: Participant knowledge and attitudes about practicing osteopathic medicine were enhanced after they completed the comprehensive MCAT preparatory course. These results suggest that offering similar courses in osteopathic medical schools throughout the country may improve the outlook of creating a diverse physician workforce that provides health care in rural areas.

Nelson-Denny Reading Test Scores as a Predictor of Student Success in Osteopathic Medical Education.

BACKGROUND: Reading skills are crucial in medical school, where students are expected to absorb an onslaught of new and complex material. Studies on reading assessment in osteopathic medical education are lacking. OBJECTIVE: To address gaps in the literature related to reading assessment and to investigate the correlation of the Nelson-Denny Reading Test with various performance indicators in osteopathic medical education. METHODS: The West Virginia School of Osteopathic Medicine administered the Nelson-Denny Reading Test to first- and second-year students between 2015 and 2017. Raw scores were translated into the percentile rank, scale score, grade equivalent score, and stanine score based on guidelines supplied with the Nelson-Denny Reading Test. These translated scores were compared with Medical College Admission Test (MCAT) scores, first- and second-year performance on course examinations, Comprehensive Osteopathic Medical Licensing Examination-USA (COMLEX-USA) Level 1 scores, and scores provided in a 2002 study by Haught and Walls. RESULTS: A total of 623 students took the first-year Nelson-Denny Reading Test, and 408 took both the first- and second-year Nelson-Denny Reading Test. Findings showed a large correlation between the Nelson-Denny Reading Test and the verbal reasoning section (r=0.56 for the class of 2020 and 0.46 for the class of 2021) of the old MCAT (before 2015) and the reasoning skills section (r=0.42 for the class of 2020 and 0.49 for the class of 2021) of the new MCAT (released in 2015). There were no correlations with first- and second-year course examination scores or COMLEX-USA Level 1 scores. The Nelson-Denny Reading Test scores reported by Haught and Walls for medical students and health professional students were slightly higher than those found for osteopathic medical students in this study. CONCLUSION: The reasoning skills section of the new MCAT could serve as a good proxy for a reading test. There were no correlations between the Nelson-Denny Reading Test and performance in the first 2 years of medical school or COMLEX-USA Level 1 performance. Further research can strengthen the findings and determine whether correlations exist with clinical performance.

Preliminary Performance of the Advanced Dental Admission Test (ADAT): Association Between ADAT Scores and Other Variables for Applicants to Residency Programs at a U.S. Dental School.

Historically, dental residency programs have used numerical assessment criteria to evaluate and identify qualified candidates for admission. Recent elimination of such assessment tools has undermined many programs' holistic evaluation process. The Advanced Dental Admission Test (ADAT) was developed and recently piloted in hopes of addressing this issue. The aim of this study was to evaluate the preliminary performance and validity of the ADAT by exploring the association between ADAT scores and other variables for a sample of applicants to residency programs. The WebAdMIT admissions database was used to identify the test scores and educational and demographic information of 92 individuals who completed the pilot ADAT and were seeking a 2017 postgraduate specialty position at Indiana University School of Dentistry. The results showed that the ADAT had strong to weak correlations with certain applicant variables (p<0.05). No significant differences were found for age, race, school location, or country of origin. However, males performed better than females (p<0.05), and non-Hispanics performed better than Hispanics (p<0.01). ADAT component scores were also higher for individuals with a history of research activity (p<0.05). This study found that significant associations existed between the ADAT and indices typically associated with competitive applicants. These findings suggest that the ADAT may serve as a useful numerical assessment instrument, with the potential to identify high-performing candidates. Furthermore, the ADAT seemed to be a plausible option for programs seeking to incorporate a quantitative assessment instrument as part of a holistic candidate selection process.

Becoming more holistic: A literature review of nonacademic factors in the admissions process of colleges and schools of pharmacy and other health professions.

BACKGROUND: The expanding role of pharmacists has influenced admissions committees to consider nonacademic factors other than grade point average (GPA) and test scores and has focused more attention on holistic admissions. METHODS: Database searches were conducted in PubMed, CINAHL, ERIC, and PsychINFO using keywords, "holistic admissions", "holistic review", and "pharmacy admissions" plus "critical thinking skills", "extracurricular", "communication skills", "essay", or "interview". Overall, 64 studies were identified, 17 were excluded, and ultimately, 47 were reviewed. RESULTS: Holistic admissions is not an industry standard in pharmacy but more so in other health professions. For critical thinking skills, the Health Sciences Reasoning Test (HSRT) was not a good predictor of academic performance even though it was effective in ranking admission applicants. The California Critical Thinking Skills Test (CCTST) however, was a significant predictor for clerkship and practice-related courses. It is unclear whether pharmacy admissions committees are utilizing the Pharmacy College Admissions Test (PCAT) reading and writing scores, the interview, or other measures to evaluate communication skills. The Multiple Mini Interview (MMI) is an effective assessment tool for measuring noncognitive attributes; however, the efficacy of unstructured interviews in evaluating noncognitive skills was less clear. IMPLICATIONS: Academic measures alone are not nuanced enough to predict success throughout the entire curriculum. An integration of factors, both academic and nonacademic, would be more relevant to predict success. Critical thinking skills and extracurricular experiences may be more significant for admissions selection and admissions ranking respectively, and more predictive of academic success during didactic and experiential stages of the curriculum respectively.

The influence of MCAT and GPA preadmission academic metrics on interview scores.

Medical school admissions interviews are used to assess applicants' nonacademic characteristics as advocated by the Association of American Medical Colleges' Advancing Holistic Review Initiative. The objective of this study is to determine whether academic metrics continue to significantly influence interviewers' scores in holistic processes by blinding interviewers to applicants' undergraduate grade point averages (uGPA) and Medical College Admission Test (MCAT). This study examines academic and demographic predictors of interview scores for two applicant cohorts at the University of Michigan Medical School. In 2012, interviewers were provided applicants' uGPA and MCAT scores; in 2013, these academic metrics were withheld from interviewers' files. Hierarchical regression analysis was conducted to examine the influence of academic and demographic variables on overall cohort interview scores. When interviewers were provided uGPA and MCAT scores, academic metrics explained more variation in interview scores (7.9%) than when interviewers were blinded to these metrics (4.1%). Further analysis showed a statistically significant interaction between cohort and uGPA, indicating that the association between uGPA and interview scores was significantly stronger for the 2012 unblinded cohort compared to the 2013 blinded cohort (ß = .573, P < .05). By contrast, MCAT scores had no interactive effects on interviewer scores. While MCAT scores accounted for some variation in interview scores for both cohorts, only access to uGPA significantly influenced interviewers' scores when looking at interaction effects. Withholding academic metrics from interviewers' files may promote assessment of nonacademic characteristics independently from academic metrics.

Impact of Anatomy Boot Camp on Students in a Medical Gross Anatomy Course.

Lincoln Memorial University-DeBusk College of Osteopathic Medicine (LMU-DCOM) offers an optional three-week summer Anatomy Boot Camp course (ABC) to facilitate students' transition into medical school and promote retention of anatomy subject matter. The pre-matriculation program is a supplemental instruction course that utilizes a small group learning format. Boot camp instruction is led by teaching assistants and two anatomy professors. Enrollees gain early exposure to Medical Gross Anatomy (MGA) course subject matter, which is taught in the fall semester, and learn study skills necessary to excel in medical school. No grade is assigned for the course, therefore participants can study without the fear of potentially affecting grades. This study evaluates the effectiveness of the LMU-DCOM ABC course using data from four consecutive summers. Independent two-sample t-tests were used to compare ABC to non-ABC students for the following variables: incoming grade point average (GPA) and Medical College Admission Test® (MCAT®) scores, MGA written and laboratory practical examination grades, and final MGA course grade. Additionally, a 26-question survey was administered to 2012-2014 boot camp participants. There were no significant differences in incoming GPA and MCAT scores. However, boot campers scored significantly higher on the first two lecture and laboratory examinations (P < 0.05) for each year of the study. Thereafter scores varied less, suggesting a faster head start for boot camp participants. Mean MGA final grade was on average 3% higher for the boot camp cohort. The survey feedback supports that the ABC course assists with the academic and social transition into medical school. Anat Sci Educ 10: 215-223. © 2016 American Association of Anatomists.

Do MCAT scores predict USMLE scores? An analysis on 5 years of medical student data.

INTRODUCTION: The purpose of this study was to determine the associations and predictive values of Medical College Admission Test (MCAT) component and composite scores prior to 2015 with U.S. Medical Licensure Exam (USMLE) Step 1 and Step 2 Clinical Knowledge (CK) scores, with a focus on whether students scoring low on the MCAT were particularly likely to continue to score low on the USMLE exams. METHOD: Multiple linear regression, correlation, and chi-square analyses were performed to determine the relationship between MCAT component and composite scores and USMLE Step 1 and Step 2 CK scores from five graduating classes (2011-2015) at the University of Minnesota Medical School (N=1,065). RESULTS: The multiple linear regression analyses were both significant (p<0.001). The three MCAT component scores together explained 17.7% of the variance in Step 1 scores (p<0.001) and 12.0% of the variance in Step 2 CK scores (p<0.001). In the chi-square analyses, significant, albeit weak associations were observed between almost all MCAT component scores and USMLE scores (Cramer's V ranged from 0.05 to 0.24). DISCUSSION: Each of the MCAT component scores was significantly associated with USMLE Step 1 and Step 2 CK scores, although the effect size was small. Being in the top or bottom scoring range of the MCAT exam was predictive of being in the top or bottom scoring range of the USMLE exams, although the strengths of the associations were weak to moderate. These results indicate that MCAT scores are predictive of student performance on the USMLE exams, but, given the small effect sizes, should be considered as part of the holistic view of the student.

Scylla and Charybdis: The MCAT, USMLE, and Degrees of Freedom in Undergraduate Medical Education.

In recent years, medical educators have been making meaningful attempts to rethink how premedical students are prepared for medical school, and how medical students are prepared for residency. Among the many challenges to redesigning premedical and medical school curricula, one that stands out is the constraint imposed by our current methods of assessing aptitude, particularly our use of the Medical College Admissions Test (MCAT) and the United States Medical Licensing Examination (USMLE). For much of the past century, medical school and residency admissions committees have relied heavily on MCAT and USMLE scores to evaluate and rank candidates to their programs. These high-stakes exams determine to a large extent what is taught, and what is stressed, in preparation for and during medical school-despite the fact that scores have limited ability to predict future success in clinical medicine or biomedical research. Additionally, evidence indicates that students from disadvantaged and minority backgrounds do not fare as well on these exams and, as a result, may be disproportionately excluded from the medical profession. While medical school admissions committees have made limited incremental gains in holistic review, residency programs appear to be increasingly focused on USMLE Step scores and veering away from the spirit of holistic review. The authors propose that substantive change will remain slow in coming unless members of the medical education community radically rethink how we report scores from these exams, and how we use them in our selection of future medical students and residents.

Implementing competency based admissions at the Albert Einstein College of Medicine.

The Albert Einstein College of Medicine (Einstein) was founded in 1955 during an era of limited access to medical school for women, racial minorities, and many religious and ethnic groups. Located in the Bronx, NY, Einstein seeks to educate physicians in an environment of state-of-the-art scientific inquiry while simultaneously fulfilling a deep commitment to serve its community by providing the highest quality clinical care. A founding principle of Einstein, the basis upon which Professor Einstein agreed to allow the use of his name, was that admission to the student body would be based entirely on merit. To accomplish this, Einstein has long used a 'holistic' approach to the evaluation of its applicants, actively seeking a diverse student body. More recently, in order to improve its ability to identify students with the potential to be outstanding physicians, who will both advance medical knowledge and serve the pressing health needs of a diverse community, the Committee on Admissions reexamined and restructured the requirements for admission. These have now been categorized as four 'Admissions Competencies' that an applicant must demonstrate. They include: 1) cocurricular activities and relevant experiences; 2) communication skills; 3) personal and professional development; and 4) knowledge. The purpose of this article is to describe the process that resulted in the introduction and implementation of this competency based approach to the admission process.

Predicting better performance on a college preparedness test from narrative comprehension at the age of 6 years: An fMRI study.

OBJECTIVE: To investigate whether high performance on college preparedness tests at 18 years of age can be predicted from brain activation patterns during narrative comprehension at 5-7 years of age. METHODS: In this longitudinal study, functional MRI data during an auditory narrative-comprehension task were acquired from 15 children (5-7 years of age) who also provided their American College Testing (ACT) scores at the age of 18 years. Active voxels during the narrative-comprehension task were correlated with both composite ACT scores and the reading-comprehension component of the exam. RESULTS: Higher composite ACT scores and behavioral scores for reading comprehension were positively correlated with greater activation in frontal and anterior brain regions during the narrative-comprehension task. CONCLUSIONS: Our results suggest that neural circuits supporting higher ACT performance are predictable from a narrative-comprehension task at the age of 5-7 years. This supports a critical role for the anterior cingulate cortex, which is a part of the cingulo-opercular cognitive-control network early in development, as a facilitator for better ACT scores. This study highlights that shared neural circuits that support overall ACT performance and neural circuits that support reading comprehension both rely on neural circuits related to narrative comprehension in childhood, suggesting that interventions involving narrative comprehension should be considered for individuals with reading and other academic difficulties.

A call to action: nursing education must embrace change and move forward.

Nursing and medical educators are challenged by the education-practice gap and look for ways to smooth the transition and prepare our graduates for practice. Clinical practitioners believe that education does not keep pace with the demands in the clinical setting. This article highlights educational challenges, and-where relevant-will compare and contrast these challenges in nursing education with those taking place in medical education and will present creative admission requirements and teaching strategies.