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Evaluation Studies
Journal Article
Optimizing physician skill development for medical students: The four-part assessment.
American Journal of Surgery 2017 May
BACKGROUND: Medical student performance has been poorly correlated with residency performance and warrants further investigation. We propose a novel surgical assessment tool to determine correlations with clinical aptitude.
METHODS: Retrospective review of medical student assessments from 2013 to 2015. Faculty rating of student performance was evaluated by: 1) case presentation, 2) problem definition, 3) question response and 4) use of literature and correlated to final exam assessment. A Likert scale interrater reliability was evaluated.
RESULTS: Sixty student presentations were scored (4.8 assessors/presentation). A student's case presentation, problem definition, and question response was correlated with performance (r = 0.49 to 0.61, p ≤ 0.003). Moderate correlations for either question response or use of literature was demonstrated (0.3 and 0.26, p < 0.05).
CONCLUSION: Our four-part assessment tool identified correlations with course and examination grades for medical students. As surgical education evolves, validated performance and reliable testing measures are required.
METHODS: Retrospective review of medical student assessments from 2013 to 2015. Faculty rating of student performance was evaluated by: 1) case presentation, 2) problem definition, 3) question response and 4) use of literature and correlated to final exam assessment. A Likert scale interrater reliability was evaluated.
RESULTS: Sixty student presentations were scored (4.8 assessors/presentation). A student's case presentation, problem definition, and question response was correlated with performance (r = 0.49 to 0.61, p ≤ 0.003). Moderate correlations for either question response or use of literature was demonstrated (0.3 and 0.26, p < 0.05).
CONCLUSION: Our four-part assessment tool identified correlations with course and examination grades for medical students. As surgical education evolves, validated performance and reliable testing measures are required.
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