Predicting pass rates on the American Board of Internal Medicine certifying examination.
J Gen Intern Med
; 13(6): 414-6, 1998 Jun.
Article
em En
| MEDLINE
| ID: mdl-9669571
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.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Conselhos de Especialidade Profissional
/
Medicina Interna
Tipo de estudo:
Prognostic_studies
/
Risk_factors_studies
País/Região como assunto:
America do norte
Idioma:
En
Revista:
J Gen Intern Med
Assunto da revista:
MEDICINA INTERNA
Ano de publicação:
1998
Tipo de documento:
Article
País de afiliação:
Estados Unidos