| Literature DB >> 24724000 |
Seong-Min Park1, Yun-Mi Song1, Bo-Kyoung Kim1, Hyoeun Kim1.
Abstract
BACKGROUND: In Korea, clinical performance examination (CPX) has been included in license examination for medical doctors since 2009 in order to improve clinical performance of medical students. This study aimed to evaluate the contribution of CPX to medical education.Entities:
Keywords: Clinical Performance Examination; Competency-Based Education; Headache; Internship and Residency; Medical Student
Year: 2014 PMID: 24724000 PMCID: PMC3978186 DOI: 10.4082/kjfm.2014.35.2.56
Source DB: PubMed Journal: Korean J Fam Med ISSN: 2005-6443
General characteristics of interns
Values are presented as number (%) or mean ± SD.
CPX: clinical performance examination.
*Obtained by t-test for means and chi-square test for proportions.
General and clinical characteristics of headache cases
Values are presented as mean ± SD or number (%).
CPX: clinical performance examination, ED: emergency department.
*Obtained by t-test, chi-square test, or Fisher's exact test.
Ascertained final diagnosis for headache cases
Values are presented as number (%).
CPX: clinical performance examination, CNS: central nervous system.
*P-value assessed by chi-square test for the distribution of the final diagnosis between two groups of interns > 0.05.
Estimated accuracy* of differential diagnosis for headache on the basis of primary diagnostic impression
Values are presented as number (%) or %.
CPX: clinical performance examinations.
*Estimated by sensitivity, specificity, positive predictive value, and negative predictive value.
Estimated accuracy* of differential diagnosis for headache on the basis of all listed diagnostic impressions
Values are presented as number (%) or %.
CPX: clinical performance examinations.
*Estimated by sensitivity, specificity, positive predictive value, and negative predictive value.
Factors associated with diagnostic values of duty doctors
CI: confidence interval, CPX: clinical performance examination.
*Estimated by multiple logistic regression model in which all the variables in the above table were put.