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- Title
Predicting pass rates on the American Board of Internal Medicine certifying examination.
- Authors
Rollins, Lisa K.; Martindale, James R.; Edmond, Michael; Manser, Thomas; Scheld, W. Michael; Rollins; Rollins, L K; Martindale, J R; Edmond, M; Manser, T; Scheld, W M
- 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 an 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.
- Subjects
UNITED States; HEALTH boards; MEDICAL education examinations; INTERNAL medicine; LOGISTIC regression analysis; CERTIFICATION; STATISTICAL models
- Publication
JGIM: Journal of General Internal Medicine, 1998, Vol 13, Issue 6, p414
- ISSN
0884-8734
- Publication type
journal article
- DOI
10.1046/j.1525-1497.1998.00122.x