Predicting novice dental students' performances in conventional simulation: A prospective pilot study using haptic exercises

触觉技术 计算机科学 心理学 牙科 医学 模拟
作者
Octave Nadile Bandiaky,Valériane Loison,Séréna Lopez-Cazaux,Fabrice Pirolli,Christelle Volteau,Ludovic Hamon,Assem Soueidan,Laurent Le Guéhennec
出处
期刊:Journal of Dental Sciences [Elsevier BV]
卷期号:20 (2): 943-952 被引量:2
标识
DOI:10.1016/j.jds.2024.10.023
摘要

While haptic simulators in preclinical dentistry show promise, few studies predict novice dental students' performance in conventional simulations using haptic exercises. This study aimed to explore associations between (i) the number of failures in haptic exercises, (ii) the haptic performance index, and (iii) the quality of prosthetic preparation for cast crowns. Additionally, the students' perceptions regarding the use of the VirTeaSy Dental® haptic simulator was analyzed. Forty novice students were randomly selected from the Dental Faculty of Nantes University in September 2022 (mean age: 19.7 ± 1.8 years). They completed four haptic exercises using the VirTeaSy Dental® simulator and prepared cast crowns on pedagogical phantom-mounted models. Data on haptic variables, prosthetic preparation quality scores, and the number of failed/successful haptic exercises were collected. Correlation analyses were conducted, and the mean preparation quality score was compared between students who failed and those who passed the haptic exercises. A questionnaire assessing the students' perceptions when using VirTeaSy Dental® was completed. A correlation was found between the number of haptic exercise failures and the prosthetic preparation quality score, with students who failed showing lower scores (10.66 ± 3.69) compared to those who passed (13.72 ± 4.76) (P < 0.05). No correlation was observed for the haptic performance index. Students reported that the VirTeaSy simulator positively impacted their learning of milling gestures. The number of haptic exercise failures can predict performance in conventional simulations and help identify students with manual dexterity issues, guiding personalized preclinical training adjustments.

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