Medical College Admission Test Scores Research Articles

Pre-Admission Standardized Tests and the Relationship with Anesthesiologist Assistant Student Performance: A Retrospective Analysis.

The Anesthesiologist Assistant (AA) profession is gaining popularity, and as such, the number of applicants and the number of AA programs are also increasing. There is no published data on what makes a good AA student - multiple studies exist in this regard for anesthesiology residents and medical students. The Medical College Admissions Test (MCAT) and the Graduate Record Examination (GRE) have shown to have some correlation with student success in other health professions. There is no data to suggest that they can indicate potential success or academic problems during AA school. As such, this study evaluated the impact of these standardized test scores and student success in both the preclinical and clinical curricula at the Emory AA program. A retrospective analysis of MCAT scores and GRE scores was performed. 2-tailed Pearson coefficients were calculated to see if there was a relationship between higher MCAT and GRE scores and performance in our program. 2- tailed Pearson coefficients showed a moderately strong correlation between MCAT scores and our AA program's science curriculum. There was a weak correlation as well between GRE scores here. The correlation dropped slightly for the MCAT and performance during our clinical curriculum, and a similar drop was noted for the GRE. Our study shows that the MCAT appears to more strongly correlated with better performance in both the science curriculum of our program and also with our clinical program. The study likely implies that the MCAT appears to be a better gauge as to how a student will do in an AA program in comparison to the GRE. Further studies are needed to understand how to appropriately admit students who will successfully complete the rigorous AA program curriculum both at Emory and beyond.

Evidence of Differential Attainment in Canadian Medical School Admissions: A Scoping Review.

In Canada, many groups (e.g., Black, Indigenous, rural backgrounds) have historically faced and continue to encounter systemic barriers in accessing the medical profession. These barriers often manifest in performance disparities, known as differential attainment, during medical school admissions. This scoping review summarizes the nature and extent of evidence on the association of differential attainment in medical school admissions selection tools and outcomes with applicant social identity in the Canadian context. The authors used Arksey and O'Malley's scoping review framework to summarize research studies published between 2000-2022 with empirical evidence of differential attainment in admissions selection tools and outcomes with respect to a range of applicant social identity categories. The authors recorded whether studies adopted a structuralist and/or intersectional perspective. Ultimately, 15 studies were included in the review. While the evidence on differential attainment associated with social identity in Canadian medical education was heterogeneous, numerous studies highlight differential attainment in the admissions process associated with applicant race and/or ethnicity (6 studies), age (5 studies), gender (4 studies), socioeconomic status (3 studies), geographic location (4 studies), and rural or urban background (5 studies). These attainment differences were reported at 3 phases of the admissions process (invitation to interview, offer of admission, and acceptance of offer), and were driven by several admissions selection tools, including grade point average, Medical College Admission Test score, and interview performance. The review highlights evidence that suggests systemic, structural inequities in admissions systems manifest as differential attainment in Canadian medical school admissions. Based on this evidence, those who identify as Black or Indigenous and those with low socioeconomic status or rural backgrounds were generally more adversely affected. Admission practices must be studied and improved so medical education systems can better avow equality and human dignity and achieve equity goals.

The predictive validity of MCAT scores and undergraduate GPA for COMLEX-USA licensure exam performance of students enrolled in osteopathic medical schools.

Osteopathic (Doctor of Osteopathic Medicine [DO]) medical students account for more than 25 % of all medical students in the United States. This study examined the predictive validity of Medical College Admission Test (MCAT) total scores and cumulative undergraduate grade point averages (UGPAs) for performance on the Comprehensive Osteopathic Medical Licensing Examination of the United States (COMLEX-USA) Level 1 and Level 2-CE (Cognitive Evaluation) licensure examinations administered by the National Board of Osteopathic Medical Examiners (NBOME). Additionally, the study examined the degree to which MCAT total scores and UGPAs provide comparable prediction of student performance by key sociodemographic variables. This study involved a collaborative effort between the Association of American Medical Colleges (AAMC), the American Association of Colleges of Osteopathic Medicine (AACOM) and the NBOME. Data were examined for 39 accredited DO-granting medical schools in the United States during the 2017 application cycle. Researchers utilized three regression models that included MCAT total scores, cumulative UGPA, and combined MCAT total scores and cumulative UGPA to determine predictive validity. Researchers also examined the comparability of prediction for sociodemographic variables by examining the differences between observed and predicted error for both scores and pass/fail success rates. Medium to large correlations were discernible between MCAT total scores, UGPA, and COMLEX-USA examination outcomes. For both COMLEX-USA Level 1 and Level 2-CE scores and pass/fail outcomes, MCAT scores alone provided superior predictive value to UGPA alone. However, MCAT scores and UGPA utilized in conjunction provided the best predictive value. When predicting both licensure examination scores and pass/fail outcomes by sociodemographic variables, all three models provided comparable predictive accuracy. Findings from this comprehensive study of DO-granting medical schools provide evidence for the value-added benefit of taking MCAT scores and UGPA into consideration, particularly when these measures are utilized in conjunction. Further, findings provide evidence indicating that individuals from different sociodemographic backgrounds who enter medical school with similar MCAT scores and UGPA perform similarly on licensure examination outcome measures.

To Grade or Not to Grade (the Quiz): The Impact of Two Formative Assessment Grading Approaches on Summative Assessment Outcomes in an Integrated Pre-clinical Curriculum.

Formative assessments have overall been shown to improve summative evaluations in medical education. However, it remains unclear if utilizing them for course credit in an integrated curriculum over multiple subspecialties is beneficial for student acquisition of knowledge. We set out to determine if grading formative quizzes had an effect on student acquisition of knowledge via summative assessments. In 2020, quizzes remained mandatory, but were not graded for course credit. We collected and compared formative (quiz) and summative (unit exam) score data from student cohorts when quizzes were graded versus not graded. Medical college admission test (MCAT) score, gender, and underrepresented in medicine (URM) status data were utilized to determine if they had effects on outcomes. We used a predefined region of indifference (± 5%) and second-generation p-values to determine if there were meaningful differences in average summative exam scores. Despite a drop in quiz scores after removing course credit, differences in average summative exam scores fully resided within the region of indifference for three of five course blocks, indicating no meaningful differences in summative exam scores existed for those blocks. In other blocks, the difference was not fully nested within the region of indifference; however, all data overlapped with this region, implying exam score differences were inconclusive for these blocks. Our study demonstrates that there is either no meaningful effect on summative assessments or no conclusive detrimental effects when mandatory quizzes are not graded for course credit.

Impact of Masking Academic Metrics on Enrolling a Broadly Diverse and Mission-Aligned Student Body.

The June 2023 U.S. Supreme Court decision overturning affirmative action required medical schools to discontinue considering race/ethnicity in admissions decisions. Medical schools must now identify different strategies if they aim to recruit and admit applicants from groups underrepresented in medicine (URiM; race/ethnicity), as enrolling broadly diverse students remains critical for serving the U.S. population. Washington State University Elson S. Floyd College of Medicine (established in 2015) has an admissions process that assesses academic metrics using national threshold combinations of undergraduate grade point averages (UGPAs) and Medical College Admission Test (MCAT) scores (published on school's website), and legal residency in or ties to Washington state, as prescreening criteria for secondary applications. UGPAs and MCAT scores are then masked from further consideration, allowing for decisions to be made with a focus on mission-aligned criteria, such as certain personal attributes and lived experiences and coming from specific environments (i.e., educationally or socioeconomically disadvantaged backgrounds, rural communities, military service, or a member of a federally recognized Tribe). In the last 5 admissions cycles (enrollment years 2018-2022), cohort data demonstrates that as the admissions funnel narrows and each subsequent pool is smaller than the preceding one, the representation of mission-aligned applicants increases, despite the masking of academic metrics. The most recently enrolled class (enrollment year 2022) of 80 had 14 (17.5%) URiM students, closely mirroring the state's general population. The overall yield (acceptance:matriculation) has steadily improved with the last 2 cycles to 1.68:1 and 1.65:1, indicating slightly more than 1.5 times the number of offers needed to fill the class are being made. Next steps include further refining the process by considering more granular data on applicants' childhood community characteristics and rural background and examining how admissions data may correlate with residency and practice location and communities served.

Association of applicant demographic factors with medical school acceptance

BackgroundMedical 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.MethodsThis 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).ResultsThe 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).ConclusionsCollectively 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.

Undue Burden the Medical School Application Process Places on Low-Income Latinos

Undue Burden the Medical School Application Process Places on Low-Income Latinos

Advising Orthopaedic Hopefuls in the Wake of a Pass/Fail US Medical Licensing Examination Step 1: A Proposed Method for Predicting US Medical Licensing Examination Step 2 Clinical Knowledge Outcomes.

Matching into orthopaedic residency has become difficult, and the US Medical Licensing Examination Step 1 transition to pass/fail scoring has complicated the process. Advisors' ability to mentor students has decreased, and program directors may rely on Step 2 Clinical Knowledge (CK) scores in selecting which candidates to interview. This study aims to offer a method to predict Step 2 CK outcomes based on preadmission and preclinical performance. The study investigated 486 students from a US medical school who enrolled in 2017 and 2018. Data on demographics, preadmission, and preclinical performance were collected. Before model creation, it was found that sex, Medical College Admission Test scores, Comprehensive Basic Science Examination performance, and preclinical curriculum performance produced optimal models. Multivariate ordinal logistic regression models were built to predict probabilities of four outcome levels of Step 2 CK: <235, 235 to 249, 250 to 265, and >265. Finally, nomograms were created to visualize probability calculations. Each model's odds ratios revealed that female sex, higher MCAT scores, and better Comprehensive Basic Science Examination and preclinical performance were associated with an increased likelihood of being in higher Step 2 CK scoring groups. Preclinical performance had a profound effect, especially for those in the top 1/3. Models were successful in assigning higher probabilities to students in higher Step 2 CK scoring groups in more than 80% of instances. Nomograms presented provide examples of how to apply these models to an individual student. This study presents a novel method for predicting probabilities of Step 2 CK outcomes that can be used to mentor students at a time point when Step 1 previously filled this role. It may assist in identifying orthopaedic hopefuls at risk of performing poorly on Step 2 CK and can foster the development of individualized guidance and mitigation strategies.

Does Masking MCAT Scores During Admissions Increase Equity?

To improve admissions process equity, the Uniformed Services University masked Medical College Admission Test (MCAT) scores at or above the 51st percentile to admissions committee members. This policy was aimed at improving admissions rates for applicants in 2 priority groups: those from races and ethnicities underrepresented in medicine (URM) and those from lower socioeconomic status, represented by first-generation college (FGC) graduates. All applicants invited to interview were included: 1,624 applicants from admissions years 2014-2016 before MCAT score masking and 1,668 applicants from admissions years 2018-2020 during MCAT score masking. Logistic regression determined admissions likelihood before and during masking. Independent sample t tests compared average admissions committee scores for all applicants and for those in priority groups. Linear regression determined the weight of MCAT scores on admissions committee scores. Despite there being more priority group applicants during MCAT score masking, the admissions likelihood for an individual priority group applicant decreased during this period. URM applicants had an odds ratio of 0.513 for acceptance during MCAT score masking compared to before masking, and FGC applicants had an odds ratio of 0.695. Masking significantly reduced mean admissions committee scores, which decreased approximately twice as much for priority group applicants as for nonpriority group applicants (0.96 points vs 0.51 points). These score decreases were highest for priority group applicants with MCAT scores above the 67th percentile. Masking reduced the weight of MCAT scores; 10.9% of admissions committee score variance was explained by MCAT scores before masking and only 1.2% during masking. Despite known disparities in MCAT scores with respect to race, ethnicity, and socioeconomic status, admissions decisions in this study were more equitable when MCAT scores were included. While masking MCAT scores reduced the influence of the exam in admissions decisions, it also reduced admissions rates for URM and FGC applicants.

Medical Students' Socioeconomic Status and Academic Performance in Medical School.

Background Students from lower socioeconomic groups tend to underestimate their chances of acceptance to medical school and their likelihood of success once admitted. Objective The objective of this study is to determine if socioeconomic disadvantage status is linked to lower medical college admission test (MCAT) scores and academic performance in medical school. Methods Using the Association of American Medical Colleges (AAMC) education/occupation (EO) indicator, we compared economically disadvantaged students to students with no financial disadvantage on the MCAT, Phase 1 National Board of Medical Examiners (NBME), United States Medical Licensing Examination (USMLE) Step 1, Phase 2 NBME, and USMLE Step 2 test scores. Results Medical students in the disadvantaged group scored significantly lower on the MCAT than students with no financial disadvantage. The disadvantaged group showed a non-significant lower trend in performance until USMLE Step 2. Conclusions Applicants from lower socioeconomic backgrounds may perform lower on their MCAT and early medical school benchmark exams, but they appear to catch up with and even surpass their peers on their USMLE Step 2 examination.

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

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. 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. 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 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.

This study examined how applicants interpret the self-reported disadvantaged (SRD) question in the American Medical College Application Service (AMCAS) application. 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. 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. Revising the SRD question by including context, phrasing, and instructions for broader experience categories might be beneficial because of lack of transparency and understanding.

Breaking Down Grit: Persistency and Flexibility in the Career Plans of Military Medical Students.

The field of medicine is experiencing a crisis as high levels of physician and trainee burnout threaten the pipeline of future physicians. Grit, or passion and perseverance for long-term goals, has been studied in high-performing and elite military units and found to be predictive of successful completion of training in adverse conditions. The Uniformed Services University of the Health Sciences (USU) graduates military medical leaders who make up a significant portion of the Military Health System physician workforce. Taken together, an improved understanding of the relationships between burnout, well-being, grit, and retention among USU graduates is critical to the success of the Military Health System. The current study was approved by the Institutional Review Board at USU and explored these relations among 519 medical students across three graduating classes. These students participated in two surveys approximately one year apart from October 2018 until November 2019. Participants completed measures on grit, burnout, and likelihood of leaving the military. These data were then merged with demographic and academic data (e.g., Medical College Admission Test scores) from the USU Long Term Career Outcome Study. These variables were then analyzed simultaneously using structural equation modeling to examine the relationships among variables in a single model. Results reaffirmed the 2-factor model of grit as both passion and perseverance (or interest consistency). No significant relationships emerged between burnout and other study variables. Sustained and focused interest was predictive of less likelihood of staying in the military. This study offers important insights into the relationship among well-being factors, grit, and long-term career planning in the military. The limitations of using a single-item measure of burnout and measuring behavioral intentions in a short time frame during undergraduate medical education highlight the importance of future longitudinal studies that can examine actual behaviors across a career lifespan. However, this study offers some key insights into potential impacts on the retention of military physicians. The findings suggest that military physicians who are most likely to stay in the military tend to embrace a more fluid and flexible medical specialty path. This is critical in expectation setting for the military to train and retain military physicians across a wide range of critical wartime specialties.

Blinding of Admissions Committee to MCAT Scores: Is There a Difference in Subsequent Medical School Performance Between Cohorts?

The Medical College Admission Test (MCAT) is designed to inform members of the admissions committee about applicants' academic readiness for medical school. Although previous work has shown that MCAT scores have some predictive validity evidence for a variety of medical student outcomes, there is also a concern that the MCAT is overly emphasized by admissions committees, which may, for example, affect matriculant diversity. The purpose of this study was to understand whether deemphasizing the MCAT by blinding committee members to applicants' specific scores has resulted in matriculants with different pre-clerkship and clerkship performance. The Admissions Committee from the Uniformed Services University of the Health Sciences (USU) created a policy to blind admissions committee members to MCAT scores. The MCAT-blinded policy was implemented for classes of 2022 to 2024. This MCAT-blinded cohort's performance was compared with a previous cohort, classes of 2018 to 2020. Two analyses of covariance were performed to test for differences in the pre-clerkship and clerkship module scores. Undergraduate grade point average (uGPA) and MCAT percentile for matriculants were included as covariates. There were no statistically significant differences in either pre-clerkship or clerkship performance between the MCAT-revealed and MCAT-blinded cohorts. This study found similar medical school performance between the MCAT-blinded and MCAT-revealed cohorts. The research team plans to continuously follow these two cohorts to understand their performance further down their education path, including step 1 and step 2 examinations.

Policy Recommendations for Improving Rural Cancer Services in the United States.

Compared with urban residents, rural Americans have seen slower declines in cancer deaths, have lower incidence but higher death rates from cancers that can be prevented through screening, have lower screening rates, are more likely to present with later-stage cancers, and have poorer cancer outcomes and lower survival. Rural health provider shortages and lack of cancer services may explain some disparities. The literature was reviewed to identify factors contributing to rural health care capacity shortages and propose policy recommendations for improving rural cancer care. Uncompensated care, unfavorable payer mix, and low patient volume impede rural physician recruitment and retainment. Students from rural areas are more likely to practice there but are less likely to attend medical school because of lower graduation rates, grades, and Medical College Admission Test (MCAT) scores versus urban students. The cancer care infrastructure is costly and financially challenging in rural areas with high proportions of uninsured and publicly insured patients. A lack of data on oncology providers and equipment impedes coordinated efforts to address rural shortages. Graduate Medical Education funding greatly favors large, urban, tertiary care teaching hospitals over residency training in rural, critical access and community-based hospitals and clinics. Policies have the potential to transform rural health care. This includes increasing advanced practice provider postgraduate oncology training opportunities and expanding the scope of practice; improving health workforce and services data collection and aggregation; transforming graduate medical education subsidies to support rural student recruitment and rural training opportunities; and expanding federal and state financial incentives and payments to support the rural cancer infrastructure.

A preliminary study of the probitive value of personality assessment in medical school admissions within the United States

BackgroundAllopathic medicine faces a daunting challenge of selecting the best applicants because of the very high applicant / matriculant ratio. The quality of graduates ultimately reflects the quality of medical practice. Alarming recent trends in physician burnout, misconduct and suicide raise questions of whether we are selecting the right candidates. The United States (US) lags far behind the United Kingdom (UK) and Europe in the study of non-cognitive tests in medical school admissions. Although more recently, medical schools in both the UK, Europe and the US have begun to use situational judgement tests such as the Computer-Based Assessment for Sampling Personal Characteristics (CASPer) and the situational judgement test (SJT), recently developed by the Association of American Medical Colleges (AAMC) and that these tests are, in a sense non-cognitive in nature, direct personality tests per se have not been utilized. We have historically used, in the admissions process within the US, knowledge, reasoning and exam performance, all of which are largely influenced by intelligence and also improved with practice. Personality, though also undoubtedly influenced by intelligence, is fundamentally different and subject to different kinds of measurements.MethodsA popular personality measurement used over the past two decades within the US in business and industry, but not medical school has been the Neo Personality Inventory – Revised (NEO-PI-R) Test. This test has not been utilized regularly in allopathic medicine probably because of the paucity of exploratory retrospective and validating prospective studies. The hypothesis which we tested was whether NEO-PI-R traits exhibited consistency between two institutions and whether their measurements showed probative value in predicting academic performance.ResultsOur retrospective findings indicated both interinstitutional consistencies and both positive and negative predictive values for certain traits whose correlative strengths exceeded traditional premed metrics: medical college admission test (MCAT) scores, grade point average (GPA), etc. for early academic performance.ConclusionsOur exploratory studies should catalyze larger and more detailed confirmatory studies designed to validate the importance of personality traits not only in predicting early medical school performance but also later performance in one’s overall medical career.

Impact of High School Quality on Academic Performance Throughout Medical School.

Numerous studies currently evaluate medical school success and performance using college Grade Point Average (GPA) and Medical College Admissions Test (MCAT) scores. These studies demonstrate that students who score low on the MCAT will continually perform worse than their peers on medical school exams and board exams. We investigated where a student attended high school and how that factor can affect medical school performance because most studies evaluated performance based on college attendance. Our retrospective study evaluated 184 students at Kirk Kerkorian School of Medicine (KSOM) and showed higher-quality high schools, in comparison to lower-quality high schools, affected medical school performance. We categorized two groups for high school quality based on the U.S. News scorecard for programs within Nevada: those students with a high school reading proficiency (HSRP) >50% and those with an HSRP <50%. These two groups were then standardized based on percentile within the school and averaged using HSRP, MCAT, pre-clinical, step 1, clinical, and step 2 scores. A line chart was graphed to demonstrate the difference between the two groups. As might be expected, our results showed significantly higher MCAT scores from students who attended high-quality versus low-quality high schools. Our results also showed that although students from low-quality high schools performed worse for the first part of medical school, by step 2, students will score similarly in both groups. Students who performed poorly on the MCAT and attended lower-quality high schools will score as competitively as their peers by step 2.

Promoting cultural competency and osteopathic medicine awareness among premedical students through a summer premedical rural enrichment program.

Premedical preparatory programs at osteopathic medical schools that recruit students from medically underserved areas (MUAs) may promote interest in practicing osteopathic medicine in underserved or rural areas. In these programs, emphasis on cultural competency may increase diversity among medical school applicants and decrease healthcare disparities in the future. The goal of this study is to determine whether a summer premedical rural enrichment program (PREP) held at an osteopathic medical school located in a MUA will foster greater prioritization of cultural competency in medicine, enhance interest in practicing in rural or underserved areas, and increase familiarity with osteopathic medicine. An eight-week summer PREP was hosted at the California Health Sciences University College of Osteopathic Medicine (CHSU-COM) in Clovis, California. Seventy-eight diverse participants were recruited from the Central Valley, an underserved region of California. Attendees were required to finish the formal application process and were recommended to have completed medical school prerequisite courses. The curriculum included Medical College Admission Test (MCAT) preparation through team-based learning sessions, introduction to the osteopathic medical school curriculum, osteopathic philosophy, and osteopathic manipulative medicine, as well as integrated anatomy and physiology sessions, medical school application workshops, mock interviews, simulation workshops, and sociology and cultural competency sessions. Data were collected via a voluntary and anonymous survey administered before and after the program with questions about familiarity with osteopathy, interest in practicing in underserved areas, medical school preparedness, and a post-course survey about cultural competency. The surveys had students rate statements on a Likert scale. Seventy-four of the 78 premedical students (95%) completed the pre-and postsurvey. There was a significant increase in agreement to statements evaluating medical school preparedness, osteopathic familiarity, and desire to practice medicine locally in the postprogram survey, compared to the preprogram survey. In the cultural competency postsurvey, 75.0% of the responses to questions that evaluated the positive effect of the course were "Agree" or "Strongly Agree." Of the reported postcourse outcomes, the average MCAT score was 504 ± 6.2 (38 students reported, 50.7%). Of the 27 participants who reported matriculation, 16 (59.2%) were admitted to osteopathic medical schools, 9 (33.3%) to allopathic medical schools, and 2 to other health programs. After completing the PREP program, premedical participants reported that they have better understanding of cultural competency and improvement in preparation for medical school, including familiarity with osteopathic medicine, and interest in serving MUAs. These findings indicate that similar programs may have a positive impact on MUAs. These programs may help create diverse and culturally competent osteopathic physicians.

Effects of Organ System Courses of the First Two Years of Medical School on the Performance of the Comprehensive Osteopathic Medical Licensing Examination of the United States (COMLEX-USA) Level 2-Cognitive Evaluation

Objectives: The Comprehensive Osteopathic Medical Licensing Examination of the United States (COMLEX-USA) Level 2-Cognitive Evaluation (CE) is a board examination that medical students usually take in the third or fourth year of medical school. A few researchers have investigated the prediction of COMLEX Level 2-CE scores based on the performance in third-year clerkships. However, given how close the clerkships are to the board exam, this type of prediction is too late for students to have adequate time to get assistance to prepare for COMLEX Level 2-CE. We aimed to investigate the predictive value of each organ system course during the first two years in predicting COMLEX Level 2-CE performance. Our findings will help students at risk focus on important basic and clinical sciences much earlier before preparing for COMLEX Level 2-CE.Methods: Academic data from students enrolled at Rocky Vista University College of Osteopathic Medicine from 2011 to 2017 were retrieved. Data included the Medical College Admission Test (MCAT) scores, course grades in the first two years of medical school, COMLEX Level 1 scores, and COMLEX Level 2-CE scores. Pearson correlation coefficients, a multiple linear regression model, and a backward stepwise regression model were generated for analysis.Results: The highest correlation with COMLEX Level 2-CE scores was the COMLEX Level 1 score, followed by the performances in the third-semester Cardiovascular System II (CV II) and Renal System II (REN II) courses. Multiple linear regression and backward stepwise regression predictive models found that scores on third-semester CV II and Principles of Clinical Medicine III (PCM III) were the most significant predictors of performance on Level 2-CE. Both models explained 46% of the variance in COMLEX Level 2-CE scores.Conclusions: Performances in third-semester courses are the most important predictors of COMLEX Level 2-CE scores.

The Validity of MCAT Scores in Predicting Students' Performance and Progress in Medical School: Results From a Multisite Study.

This is the first multisite investigation of the validity of scores from the current version of the Medical College Admission Test (MCAT) in clerkship and licensure contexts. It examined the predictive validity of MCAT scores and undergraduate grade point averages (UGPAs) for performance in preclerkship and clerkship courses and on the United States Medical Licensing Examination Step 1 and Step 2 Clinical Knowledge examinations. It also studied students' progress in medical school. Researchers examined data from 17 U.S. and Canadian MD-granting medical schools for 2016 and 2017 entrants who volunteered for the research and applied with scores from the current MCAT exam. They also examined data for all U.S. medical schools for 2016 and 2017 entrants to regular-MD programs who applied with scores from the current exam. Researchers conducted linear and logistic regression analyses to determine whether MCAT total scores added value beyond UGPAs in predicting medical students' performance and progress. Importantly, they examined the comparability of prediction by sex, race and ethnicity, and socioeconomic status. Researchers reported medium to large correlations between MCAT total scores and medical student outcomes. Correlations between total UGPAs and medical student outcomes were similar but slightly lower. When MCAT scores and UGPAs were used together, they predicted student performance and progress better than either alone. Despite differences in average MCAT scores and UGPAs between students who self-identified as White or Asian and those from underrepresented racial and ethnic groups, predictive validity results were comparable. The same was true for students from different socioeconomic backgrounds, and for males and females. These data demonstrate that MCAT scores add value to the prediction of medical student performance and progress and that applicants from different backgrounds who enter medical school with similar ranges of MCAT scores and UGPAs perform similarly in the curriculum.