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A study of MD-PhD pre-health advising identifies challenges to building a robust MD-PhD applicant pool
Amara L. Plaza-Jennings, … , Robert Fallar, Valerie Parkas
Amara L. Plaza-Jennings, … , Robert Fallar, Valerie Parkas
Published April 8, 2025
Citation Information: JCI Insight. 2025;10(7):e185839. https://doi.org/10.1172/jci.insight.185839.
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Physician-Scientist Development

A study of MD-PhD pre-health advising identifies challenges to building a robust MD-PhD applicant pool

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Abstract

MD-PhD programs provide interdisciplinary training in medicine and research. Undergraduate pre-health advisors (PHAs) play a critical role in counseling prospective applicants, yet there have been no studies to our knowledge of MD-PhD pre-health advising. Here we surveyed 280 PHAs from US colleges and universities using both qualitative and quantitative measures that assessed their real-world advising behaviors as well as standardized evaluation of 1 of 2 fictional MD-PhD applicants, identical except for gender. We identified 3 factors that influenced advising behaviors: experience advising MD-PhD applicants, attitudes toward MD-PhD programs, and gender bias. Those PHAs with less experience and who held negative attitudes toward MD-PhD programs were less likely to initiate discussions about MD-PhD programs with qualified applicants and less likely to recommend the fictional applicants apply to MD-PhD programs. Finally, there was subtle gender bias that favored the male applicant. PHAs face challenges in advising MD-PhD applicants because there are relatively few MD-PHD applicants overall and there is a lack of resources to guide them. Addressing these challenges by strengthening collaborations with PHAs and providing comprehensive information about the value of and applicant qualifications for MD-PhD programs is crucial to enhancing MD-PhD advising, mitigating effects of bias, and expanding the pool of qualified applicants.

Authors

Amara L. Plaza-Jennings, Christie B. Ryba, Jessica Tan, Jennifer E.L. Diaz, Grace E. Mosley, Talia H. Swartz, Margaret H. Baron, Robert Fallar, Valerie Parkas

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Figure 1

Overall advising recommendations of fictional applicants.

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Overall advising recommendations of fictional applicants.
(A) Graph show...
(A) Graph showing the percentages of PHAs who recommended or did not recommend the fictional applicants apply to the indicated programs. (B–D) Dot plots with average and standard error of program recommendation score grouped by the gender of the PHA and of the applicant. Data points have been jittered along the x- and y-axes for better visualization. (B) MD-PhD recommendation score. P = 0.17. (C) MD recommendation score. P = 0.06. (D) Gap year recommendation score. P = 0.88. Differences were assessed using 2-way ANOVA.

Copyright © 2025 American Society for Clinical Investigation
ISSN 2379-3708

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