Abstract
Our objective was to determine the ability of the internal medicine In-Training Examination (ITE) to predict pass or fail outcomes on the American Board of Internal Medicine (ABIM) certifying examination and to develop and externally validated predictive model and a simple equation that can be used by residency directors to provide probability feedback for their residency programs. We collected a study sample of 155 internal medicine residents from the three Virginia internal medicine programs and a validation sample of 64 internal medicine residents from a residency program outside Virginia. Scores from both samples were collected across three class cohorts. The Kolmogorov-Smirnov z test indicated no statistically significant difference between the distribution of scores for the two samples (z=1.284, p=.074). Results of the logistic model yielded a statistically significant prediction of ABIM pass or fail performance from ITE scores (Wald=35.49, SE=0.036, df=1, p<.005) and overall correct classifications for the study sample and validation sample at 79% and 75%, respectively. The ITE is a useful tool in assessing the likelihood of a resident’s passing or failing the ABIM certifying examination but is less predictive for residents who received ITE scores between 49 and 66.
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Received from the University of Virginia School of Medicine, Charlottesville.
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Rollins, L.K., Martindale, J.R., Edmond, M. et al. Predicting pass rates on the american board of internal medicine certifying examination. J GEN INTERN MED 13, 414–416 (1998). https://doi.org/10.1046/j.1525-1497.1998.00122.x
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DOI: https://doi.org/10.1046/j.1525-1497.1998.00122.x