Assessment of a pattern-recognition examination in a clinical clerkship.
OBJECTIVE
To develop a pattern-recognition examination (called PAT) for use in assessing surgical clerkship students.


METHODS
The PAT was developed in 1992-93 by the surgery faculty at the Wright State University School of Medicine. The top 30 diagnoses of patients seen by clerkship students in 1991-92 were identified, and possible presenting complaints were selected for each diagnosis. Then for each complaint faculty selected 18 common or catastrophic diagnoses, and a distinctive patient description was written for each diagnosis. An examination of 200 items was compiled covering 20 presenting complaints, each with a set of ten patient descriptions and 18 diagnoses from which to choose the most likely diagnosis. Scoring was by the percentage of correct responses. The PAT was given to 77 students during the 1992-93 clerkship along with other forms of evaluation. The PAT was also administered to 18 surgical residents.


RESULTS
The students' mean score on the PAT was 65%, SD, 12.7. Split-half reliability was high (Spearman-Brown r = .91). The students' PAT performances correlated strongly with other cued-response testing formats, e.g., rs = .79, PAT versus the surgery subject examination of the National Board of Medical Examiners. Moderate correlations with essay scores (r = .49) and preceptors' ratings (r = .49) were found. The residents' PAT performances were significantly higher for senior than junior residents (82% versus 63%, p = .004).


CONCLUSIONS
Utilizing this examination format, it is possible to locally develop a reliable examination that is grounded in the actual clinical problems seen by clerkship students and that assesses more than factual recall.
Dunn
M M
MM
Department of Surgery, Wright State University School of Medicine, Dayton, OH.
Woolliscroft
J O
JO
D002982:Clinical Clerkship; D003933:Diagnosis; D004521:Educational Measurement / Q000379:methods* / Q000592:standards; D013502:General Surgery / Q000193:education*; D006801:Humans; D007396:Internship and Residency; D009820:Ohio; D010363:Pattern Recognition, Automated