Medical College Admission Test Research Articles

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.

College preparation for a medical career in the United States.

A college degree is required to enter medical school in the United States. A remarkably high percentage of students entering college have pre-medical aspirations but relatively few end up as medical students. As an "applied science", education about medicine is usually thought to be beyond the purview of a liberal arts curriculum. Students therefore receive little education about a medical career, or information about the many alternative careers in health science. Instead, they take courses for Medical College Admission Test (MCAT) preparation and medical school application prerequisites in biology, chemistry, physics, and math. These classes give them little insight into a real medical career. The current report considers this mismatch between student needs in health science and available resources in colleges across the United States. A Collective Case Series framework was used to obtain qualitative data. Key informant interviews were requested from a convenience sample of representatives from 20 colleges, with six colleges providing extensive data. Three institutions collected data specifically on students who matriculated college interested in a career as a physician. At these schools, one-half to one-quarter of students who said they were interested in medicine at the beginning of college ended up not applying to medical school. At each of the six schools, we saw a wide range of generally sparse academic and professional advising involvement and a very limited number of classes that discussed concepts directly related to careers in health science. Looking at this data, we provide a novel conceptual model as a potential testable solution to the problem of an underexposed and unprepared student population interested in medicine. This includes a brief series of courses intended to inform students about what a career in medicine would fully entail to help foster core competencies of empathy, compassion and resilience.

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.

Evaluating a Situational Judgment Test for Use in Medical School Admissions: Two Years of AAMC PREview Exam Administration Data.

To examine the relationship between the Association of American Medical Colleges (AAMC) Professional Readiness Exam (PREview) scores and other admissions data, group differences in mean PREview scores, and whether adding a new assessment tool affected the volume and composition of applicant pools. Data from the 2020 and 2021 PREview exam administrations were analyzed. Two U.S. schools participated in the PREview pilot in 2020 and 6 U.S. schools participated in 2021. PREview scores were paired with data from the American Medical College Application Service (undergraduate grade point averages [GPAs], Medical College Admission Test [MCAT] scores, race, and ethnicity) and participating schools (interview ratings). Data included 19,525 PREview scores from 18,549 unique PREview examinees. Correlations between PREview scores and undergraduate GPAs ( r = .16) and MCAT scores ( r = .29) were small and positive. Correlations between PREview scores and interview ratings were also small and positive, ranging between .09 and .14 after correcting for range restriction. Small group differences in mean PREview scores were observed between White and Black or African American and White and Hispanic, Latino, or of Spanish origin examinees. The addition of the PREview exam did not substantially change the volume or composition of participating schools' applicant pools. Results suggest the PREview exam measures knowledge of competencies that are distinct from those measured by other measures used in medical school admissions. Observed group differences were smaller than group differences observed with traditional academic assessments and evaluations. The addition of the PREview exam did not substantially change the overall volume of applications or the proportions of out-of-state, underrepresented in medicine, or lower socioeconomic status applicants. While more research is needed, these results suggest the PREview exam may provide unique information to the admissions process without adversely affecting applicant pools.

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

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

Pre-professional student perceptions of team-based learning applied in a medical college admission test preparatory course

Pre-professional student perceptions of team-based learning applied in a medical college admission test preparatory course

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.

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.

Evaluating Intersite Consistency Across 11 Geographically Distinct Pediatric Clerkship Training Sites: Providing Assurance That Educational Comparability Is Possible

We compared core pediatric clerkship student assessments across 11 geographically distinct learning environments following a major curriculum change. We sought to determine if intersite consistency existed, which can be used as a marker of program evaluation success.We evaluated students' overall pediatric clerkship performance along with individual assessments that target our clerkship learning objectives. Using the data of graduating classes from 2015 to 2019 (N = 859), we conducted an analysis of covariance and multivariate logistic regression analysis to investigate whether the performance varied across training sites.Of the students, 833 (97%) were included in the study. The majority of the training sites did not show statistically significant differences from each other. After controlling for the Medical College Admission Test total score and the average pre-clerkship National Board of Medical Examiners final exam score, the clerkship site only explained a 3% additional variance of the clerkship final grade.Over the ensuing 5-year period after a curriculum overhaul to an 18-month, integrated module pre-clerkship curriculum, we found that student pediatric clerkship performance in clinical knowledge and skills did not differ significantly across 11 varied geographic teaching sites when controlling for students' pre-clerkship achievement. Specialty-specific curriculum resources, faculty development tools, and assessment of learning objectives may provide a framework for maintaining intersite consistency when faced with an expanding network of teaching facilities and faculty.

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.

Preparing for Medical School: How Sociology Helps Premedical Students Prepare for the MCAT and beyond

Educators have recently highlighted the importance of social science courses for students entering the medical field. This has led to the inclusion of sociological theories and concepts on the Medical College Admission Test (MCAT), a requirement for any student seeking formal medical training. Using open-ended survey data responses provided by students who recently completed the MCAT, we explore how students perceive that sociology courses prepare them for the MCAT and their lives more generally. We find that students report that their sociology courses introduced them to key concepts and laid a foundation for material assessed on the exam, but those courses could improve by aligning with the MCAT structure by prioritizing application of concepts and critically analyzing case studies. Students also reported that sociology courses helped them develop empathy and inclusivity and use their sociological imaginations, which will ultimately positively impact their careers in the medical field and lives overall.

Educational Videos Versus Question Banks: Maximizing Medical Student Performance on the United States Medical Licensing Examination Step 1 Exam.

Objective The aim of this research was to determine if medical students' use of the active study strategy of working practice questions is associated with improved performance on the United States Medical Licensing Examination (USMLE) Step 1 examwhen compared to students who used the passive study strategy of watching educational videos. Methods The study used a correlational design. Participants were students from two cohorts in a United States medical school (N=164 and N=163) who completed their first two years and took the USMLEStep 1 exam. Data collected retrospectively included the number of practice questions completed, educational videos watched, Step 1 exam scores, average scores on in-class exams, and scores on the Medical College Admission Test (MCAT). Results The number of videos watched was negatively and significantly correlated with the Step 1 score for cohort 2022 (r= -0.294, α=0.01) and cohort 2023 (r= -0.175, α=0.05). The number of practice questions worked was positively and significantly correlated with the Step 1 score for cohort 2022 (r=0.176, α=0.05) and cohort 2023 (r=0.143 though not significant). The number of practice questions was a significant positive predictorof Step 1 score for cohort 2022 (β=0.141, p=0.017) and cohort 2023 (β=0.133, p=0.015). Videos were significant negative predictors for cohort 2023 (β= -0.118, p=0.034). Conclusions Answering practice questions appears to be a more effective study method than passively watching videos. Though other studies have supported the use of active learning methods, this study is unique in finding a negative correlation between test scores and the number of educational videos watched. Medical students should be urged to make the most effective use of study time by incorporating working practice questions and limiting watching educational videos.

Racial and Ethnic Differences in Barriers Faced by Medical College Admission Test Examinees and Their Association With Medical School Application and Matriculation

There has been disappointing progress in enrollment of medical students from racial and ethnic groups underrepresented in medicine, including American Indian or Alaska Native, Black, and Hispanic students. Barriers that may influence students interested in medicine are understudied. To examine racial and ethnic differences in barriers faced by students taking the Medical College Admission Test (MCAT). This cross-sectional study used survey data (surveys administered between January 1, 2015, to December 31, 2018) from MCAT examinees linked with application and matriculation data from the Association of American Medical Colleges. Data analyses were performed from November 1, 2021, to January 31, 2023. Main outcomes were medical school application and matriculation. Key independent variables reflected parental educational level, financial and educational barriers, extracurricular opportunities, and interpersonal discrimination. The sample included 81 755 MCAT examinees (0.3% American Indian or Alaska Native, 21.3% Asian, 10.1% Black, 8.0% Hispanic, and 60.4% White; 56.9% female). There were racial and ethnic differences in reported barriers. For example, after adjustment for demographic characteristics and examination year, 39.0% (95% CI, 32.3%-45.8%) of American Indian or Alaska Native examinees, 35.1% (95% CI, 34.0%-36.2%) of Black examinees, and 46.6% (95% CI, 45.4%-47.9%) of Hispanic examinees reported having no parent with a college degree compared with 20.4% (95% CI, 20.0%-20.8%) of White examinees. After adjustment for demographic characteristics and examination year, Black examinees (77.8%; 95% CI, 76.9%-78.7%) and Hispanic examinees (71.3%; 95% CI, 70.2%-72.4%) were less likely than White examinees (80.2%; 95% CI, 79.8%-80.5%) to apply to medical school. Black examinees (40.6%; 95% CI, 39.5%-41.7%) and Hispanic examinees (40.2%; 95% CI, 39.0%-41.4%) were also less likely than White examinees (45.0%; 95% CI, 44.6%-45.5%) to matriculate at medical school. Examined barriers were associated with a lower likelihood of medical school application and matriculation (eg, examinees having no parent with a college degree had lower odds of applying [odds ratio, 0.65; 95% CI, 0.61-0.69] and matriculating [odds ratio, 0.63; 95% CI, 0.59-0.66]). Black-White and Hispanic-White disparities in application and matriculation were largely accounted for by differences in these barriers. In this cross-sectional study of MCAT examinees, American Indian or Alaska Native, Black, and Hispanic students reported lower parental educational levels, greater educational and financial barriers, and greater discouragement from prehealth advisers than White students. These barriers may deter groups underrepresented in medicine from applying to and matriculating at medical school.

Sources of Shared Knowledge: Community Stakeholders, Undergraduate Students, and Archaeologists on an International Archaeological Dig

I have had the dream to become a physician and specialize in cardiology for about seven years now. As a pre-med undergraduate student at Carleton College, I knew that meant I would have to take the Medical College Admissions Test and organic chemistry, as well as get meaningful clinical experience. However, I had no idea I would also lead community outreach for a project doing archaeological field research in Peru! Although this was not a typical pre-med experience, my time with Dr. Sarah Kennedy’s Proyecto Arqueológico Medio Ambiental (PAMA) in Puno, Peru, was one of the most beneficial experiences I have had during my career.

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.

Shame at the Gates of Medicine: A Hermeneutic Exploration of Premedical Students' Experiences of Shame.

Little is known about the nature of shame in students attempting to enter medical school, despite its potential to impact well-being and professional identity formation during training. In this study, the authors used hermeneutic phenomenology to ask: How do premedical students experience shame as they apply to medical school? From September 2020 to March 2021, the authors recruited 12 students from a U.S. Master of Biomedical Sciences program who intended to apply to medical school. Data collection consisted of each participant creating a "rich picture" depicting a shame experience during their premedical training, a semistructured interview that deeply explored this and other shame experiences, and a debriefing session. Data were analyzed using Ajjawi and Higgs's 6 steps of hermeneutic analysis. Self-concept, composed of an individual's identities and contingencies of self-esteem, was central to participants' shame experiences. Through a confluence of past and future self-concepts and under the influence of external factors and the weight of expectations, shame often destabilized participants' present self-concepts. This destabilization occurred because of events related to application processes (repeat Medical College Admission Test attempts), interpersonal interactions (prehealth advisor meetings), and objective performance measures (grades, test scores). Participants' efforts to restabilize their self-concept catalyzed specific identity processes and self-concept formation. Shame provided a window into the emotional experiences, identity processes, and ideologies that shape students' attempts to enter medical school. The authors discuss the central role of contingencies of self-esteem, the potential origins of performance-based self-esteem in trainees, and the identity negotiation and identity work involved in shame reactions. They call for the adoption of contingencies of self-esteem within current conceptualizations of professional identity formation; training for faculty and prehealth advisors about the nature of shame in premedical learners; and consideration of the consequential validity of standardized tests, which may trigger damaging shame.