A simulation model used in teaching denture border adjustment: Randomized controlled trial

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Abstract

Objectives: The goal was to propose a new simulation model as a training tool in complete denture (CD) flange adjustment and to evaluate if the model can improve student competencies in different learning domains. Methods: Fourth-year undergraduate dental students (n = 100) were equally divided into control and test groups. Both groups received didactic instructions for CD post-insertion procedures, but the test group had additional simulation training using modified working casts. Both groups then performed CD flange adjustment on real patients, and their skills were evaluated using a specific checklist. The data were assessed by independent samples t-test and a chi-square test at α = 0.05. Results: The students in the test group showed significantly better overall performance (57.94%) compared with the control group (30.14%) in clinical post-insertion CD flange adjustment procedures (p < 0.001). However, the psychomotor skills of the male students in the test group were not significantly influenced (p = 0.268). Considering the competencies for different tasks, more students that were competent were present in the test group compared to those in the control group regarding most of the knowledge (p ≤ 0.012) and all of the cognitive skill tasks (p ≤ 0.021). More students were competent for half of the psychomotor skill tasks (p ≤ 0.027). However, when considering gender, the number of competent male students was significantly greater in the test group only for one of the psychomotor tasks. Conclusion: The simulation model significantly improved the overall clinical skills of the students, allowing them to learn the common CD post-insertion maintenance procedures before performing the procedure clinically.

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APA

Bukhary, D. M., & Alshali, R. Z. (2022). A simulation model used in teaching denture border adjustment: Randomized controlled trial. Journal of Dental Education, 86(1), 98–106. https://doi.org/10.1002/jdd.12784

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