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Stohl HE, Hueppchen NA, Bienstock JL. Can medical school performance predict residency performance? Resident selection and predictors of successful performance in obstetrics and gynecology. J Grad Med Educ. 2010;2(3):322-6doi: 10.4300/JGME-D-09-00101.1.
Stohl, H. E., Hueppchen, N. A., & Bienstock, J. L. (2010). Can medical school performance predict residency performance? Resident selection and predictors of successful performance in obstetrics and gynecology. Journal of graduate medical education, 2(3), 322-6. https://doi.org/10.4300/JGME-D-09-00101.1
Stohl, Hindi E, et al. "Can medical school performance predict residency performance? Resident selection and predictors of successful performance in obstetrics and gynecology." Journal of graduate medical education vol. 2,3 (2010): 322-6. doi: https://doi.org/10.4300/JGME-D-09-00101.1
Stohl HE, Hueppchen NA, Bienstock JL. Can medical school performance predict residency performance? Resident selection and predictors of successful performance in obstetrics and gynecology. J Grad Med Educ. 2010 Sep;2(3):322-6. doi: 10.4300/JGME-D-09-00101.1. PMID: 21976076; PMCID: PMC2951767.
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J Grad Med Educ. 2010 Sep;2(3):322-6. doi: 10.4300/JGME-D-09-00101.1.

Can medical school performance predict residency performance? Resident selection and predictors of successful performance in obstetrics and gynecology.

Journal of graduate medical education

Hindi E Stohl, Nancy A Hueppchen, Jessica L Bienstock

PMID: 21976076 PMCID: PMC2951767 DOI: 10.4300/JGME-D-09-00101.1

Abstract

BACKGROUND: During the evaluation process, Residency Admissions Committees typically gather data on objective and subjective measures of a medical student's performance through the Electronic Residency Application Service, including medical school grades, standardized test scores, research achievements, nonacademic accomplishments, letters of recommendation, the dean's letter, and personal statements. Using these data to identify which medical students are likely to become successful residents in an academic residency program in obstetrics and gynecology is difficult and to date, not well studied.

OBJECTIVE: To determine whether objective information in medical students' applications can help predict resident success.

METHOD: We performed a retrospective cohort study of all residents who matched into the Johns Hopkins University residency program in obstetrics and gynecology between 1994 and 2004 and entered the program through the National Resident Matching Program as a postgraduate year-1 resident. Residents were independently evaluated by faculty and ranked in 4 groups according to perceived level of success. Applications from residents in the highest and lowest group were abstracted. Groups were compared using the Fisher exact test and the Student t test.

RESULTS: Seventy-five residents met inclusion criteria and 29 residents were ranked in the highest and lowest quartiles (15 in highest, 14 in lowest). Univariate analysis identified no variables as consistent predictors of resident success.

CONCLUSION: In a program designed to train academic obstetrician-gynecologists, objective data from medical students' applications did not correlate with successful resident performance in our obstetrics-gynecology residency program. We need to continue our search for evaluation criteria that can accurately and reliably select the medical students that are best fit for our specialty.

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