Table 3.
Educational (11 articles; 16.7% total).
| First author, Year of publication3 | Type | Results |
|---|---|---|
| Andriole et al. (2015) | National data from the Association of American Medical Colleges (AAMC) Pre-MCAT Questionnaire of 213,497 respondents who subsequently completed the MCAT. | 16.2% (34,539) of the respondents were URiM and just over a third of these (11,842) participated in research in college. |
| Goal: To evaluate the effect of participation in college laboratory research apprenticeship. | There was a positive, independent association between research participation and medical-school acceptance, independent of their MCAT scores. However, the magnitude of the observed relationship was modest (a 12% higher likelihood of acceptance). | |
| Chan et al. (2022) | Single institution study of 184 medical students who graduated from either high quality or low-quality high schools as determined by high school reading proficiency (HSRP >50% is considered high quality school). | Statistically significant differences in average exam performance between the high-quality and low-quality school-attended groups were found for the MCAT (508.24 vs. 509.86, p = 0.025). |
| Goal: To determine if there are group differences in MCAT scores between high-and low-quality high schools. | ||
| Cosentino et al. (2015) | Mixed-methods external evaluation of the impact of the RWJF Summer Medical and Dental Education Program (SMDEP). The outcomes analysis was for 6,826 undergraduate students (64% URiM) who participated in SMDEP. | Eighty-three percent of participants earned a bachelor’s degree compared to national data of about 59 percent of all students (40 percent for blacks and American Indian or Alaskan Native and 52 percent for Hispanics). |
| Fifty-five percent of participants applied to either medical or dental school or both. Of those who apply, 68% subsequently matriculated. | ||
| Freeman et al., 2016 | Cross-Sectional study of 82 (100% URiM) undergraduate students. | Respondents noted lack of access to advising mentors and health related opportunities as significant barrier. Family conflict and cost were also noted. |
| Qualitative survey. | ||
| Goal: To identify potential barriers for undergraduate students to applying to medical school. | ||
| Goode and Landefeld (2018) | Commentary | Discussion of the lack of diversity in healthcare. Noted that educational barriers for URiM students include implicit bias, disparities in reading levels (k-12), need for remedial English and math courses in college, and ineffective advising along the pipeline. |
| Joseph J. et al. (2021) | Single-institution study of 35 undergraduate or postbaccalaureate participants (48% URiM). | Participants noted lack of diversity in the medical fields. |
| Qualitative survey. | Lack of complete understanding and information needed to navigate the application process to become a medical professional. | |
| Goal: To determine barriers/facilitators to pursuing a medical career. | Participants indicated access to mentoring and guidance by medical trainees and professionals as likely to facilitate a medical career. | |
| Kadavakollu et al., 2022 | Single institution study of 78 students in a premedical enrichment program for diverse students (Over 40% URiM, 95% from medically underserved areas, MUAs). | 38 of the 78 students self-reported MCAT scores for an average of 504 ± 6.2. Three students (7.9% of total) scored below the 34th percentile, 24 (63.2%) scored between the 35 and 68th percentile, and 11 (28.9%) scored above the 68th percentile, with three of those students scoring above the 90th percentile. |
| Goal: To evaluate the success of an enrichment program aimed at students from rural or MUAs. | Medical school matriculation was self-reported after the enrichment program by 27 (36.0%) students. Sixteen of those 27 (59.2%) matriculated into osteopathic medical schools, nine (33.3%) into allopathic medical schools, one student to a Doctor of Podiatric Medicine program, and one to a Doctor of Naturopathic Medicine. | |
| Comparison group: national MCAT averages. | ||
| Mason et al. (2022) | Multi-site study: Examined national data for 211,216 students (24.8% identified as first-generation college graduates) who took the MCAT and completed the AAMC Pre-Medical College Admissions Test Questionnaire. | Students with (vs. without) paid work experience outside hospitals/labs/clinics were less likely to apply, be accepted, and matriculate into medical school. |
| Goal: To evaluate the role of paid work or summer programs on likelihood of medical school application. | Students who participated in a college research apprenticeship, a summer academic-enrichment program, and paid or volunteer work in hospital/clinic/lab settings were more likely to apply to medical school. | |
| Schneid et al. (2022a) | Single institution study of 75 academically disadvantaged students (31% URiM) in a prematriculation enrichment program | Prematriculation students MCAT average 31.9 ± 3.3 vs. Control: group 34.5 ± 3.1. |
| Goal: To evaluate the effectiveness of a summer prematriculation program for academically disadvantaged students by looking at MCAT scores and performance in Year 1 of medical school. | Prematriculation participants performed significantly better than control group in Year 1 courses that were covered in the prematriculation program compared to courses that were not covered. | |
| Control group: 293 non-participants. | The overall performance in the prematriculation program correlated significantly with Year 1 performance and was found to be a strong predictor for Year 1 performance. | |
| Thurmond and Cregler (1996) | Single institution study of 55 diverse high-school students (100% URiM) in a premedical research apprentice program. | All 55 participants matriculated to a college or university. Twenty-nine (53%) of these students graduated from college. Seventeen of 29 students (59%) matriculated into medical school. |
| Goal: To determine effect of a research experience in the student pipeline. | 30.1% of white students graduate from high school, and 14.6% obtain a baccalaureate degree compared with 28% of blacks who graduate from high school, and 7.5% who graduate from college. | |
| Comparison group: State-wide high-school and graduation rates. | ||
| Toretsky et al. (2018) | Literature review and interviews to summarize known barriers to URiM students entering the health professions. | In California, the barriers include: (1) Lack of academic preparation; admissions requirements, especially for doctoral degree programs; (2) Lack of concordant mentors; (3) Stereotype threat; (4) Limited exposure to health careers; and (5) Poor advising. |
3Publications referenced by first author and year.