Evidence map›Paper›PMID 40663418›Full record

ArticleFamily medicine2025

Objective Admissions Data and In-State Practice: What Can We Really Predict?

Marlene P Ballejos, Jamie Riera, Robert L Williams, Robert E Sapién

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Article in Family medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Marlene P BallejosDepartment of Family and Community Medicine, University of New Mexico School of Medicine, Albuquerque, NM.
Jamie RieraUndergraduate Medical Education, Office of Evaluation, Education, and Research, University of New Mexico School of Medicine, Albuquerque, NM.
Robert L WilliamsDepartment of Family and Community Medicine, University of New Mexico School of Medicine, Albuquerque, NM.
Robert E SapiénDepartment of Emergency Medicine, University of New Mexico School of Medicine, Albuquerque, NM.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesDespite the widespread adoption of the holistic review initiative in medical school admissions, admissions committees continue to struggle with identifying applicant attributes that predict future practice location. This challenge has significant practical implications, particularly for institutions committed to addressing regional health care shortages.

methodsWe analyzed eight cohorts of applicants who matriculated between 2006 and 2013 and then completed residency. We used univariate and multiple regression models to identify applicant objective attributes linked to later in-state practice. Objective data available in applications included high school location, legal state of residence, Medical College Admissions Test (MCAT) scores, grade point average, college details, graduate school, race/ethnicity, and gender; these were compared by posttraining practice location.

resultsOf 509 graduates in practice, 212 (41.7%) were in-state. In-state graduates were older (P<.001), predominately underrepresented in medicine (42% vs 33%, P<.01), graduated from urban high schools (28% vs 18%, P<.05), attended in-state colleges (66% vs 55%, P<.05), and had lower MCAT scores (56th vs 67th percentile, P<.001). Regression analysis revealed that only age, urban high school, and MCAT score significantly contributed to the model (R 2=0.064, P=.004).

conclusionsThis study shows the limited value of applicant objective data to admissions committees in predicting future in-state practice. The findings emphasize the importance of a holistic admissions process and the value of considering subjective applicant data in efforts to predict future practice location. Additional research may help identify which subjective aspects of an applicant can assist admissions committees in this effort.

Indexed as

School Admission CriteriaSchools, MedicalAdultCollege Admission TestFemaleHumansInternship and ResidencyMaleUnited States

Identifiers

PMID40663418
PMCPMC12295599

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