Cross-sectional study assesses diagnostic skills in oral diseases among interns, suggesting need for improved training strategies.
Oral mucosal diseases are frequently misdiagnosed due to overlapping clinical presentations. Given the important role of physicians in the initial assessment of oral conditions, evaluating diagnostic reasoning among medical trainees is essential. This study aimed to assess the clinical decision-making skills of medical interns in diagnosing oral diseases. This cross-sectional analytical study was conducted among 66 medical interns at Guilan University of Medical Sciences using a census sampling approach. Data were collected using a two-part questionnaire consisting of demographic information and 19 Key Feature–based clinical scenarios, most accompanied by visual aids. The instrument was validated using a two-round Delphi process and demonstrated acceptable reliability (Cronbach’s alpha = 0.70; ICC = 0.861). Data were analyzed using descriptive statistics, independent t-tests, and linear regression analysis. The mean diagnostic performance score was 7.14 ± 2.9 (range: 1.73–13.77). Male interns had higher scores than females ( p = 0.003). No significant association was found between age and diagnostic performance, while GPA showed a significant positive correlation ( p < 0.001). Diagnostic accuracy was higher for conditions with more recognizable clinical features, such as oral candidiasis and denture stomatitis, whereas lower accuracy was observed for conditions with non-specific presentations, including reflux-related lesions, burning mouth syndrome, and xerostomia. Medical interns demonstrated suboptimal diagnostic performance in oral diseases. These findings suggest a need for enhanced training in oral diagnosis and clinical reasoning within medical curricula. Future educational strategies incorporating case-based learning and interdisciplinary training may improve diagnostic competence.
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Farzan et al. (2026) studied this question.
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