Department of Reconstructive Dentistry, UZB University Center for Dental Medicine Basel, Basel, Switzerland.
Eur J Dent Educ. 2022 Nov;26(4):669-675. doi: 10.1111/eje.12745. Epub 2021 Dec 29.
This prospective cohort study investigated the potential of digital assessment using intraoral scanning (IOS) combined with software analysis (prepCheck) to evaluate the outcome of repetitive tooth preparation and its influence on the acquisition of motor skills in dental students.
Twenty-six students completed 177 full-crown preparations of the same tooth in six practice sessions followed by a final examination. Preparations were assessed digitally using prepCheck and conventionally by calibrated faculty instructors. In addition, students assessed their own performance and this was compared with the instructors' assessments.
Conventional assessment showed that students preparations improved over time, with 43.5% of students receiving score 2 (highest grade) at the fifth practice session. With the prepCheck assessment, statistically significant improvements indicated by an enlarged area within the tolerance range set at 0.2 mm were found between the first and the second practice session (7.5% improvement; 95% CI: 2.2%, 12.7%, p = 0.006), and between the first run and the final exam preparation (6.7%; 95% CI: 1.7%, 12.5%, p = 0.011). Agreement between instructor/student assessments was best immediately after students received visual feedback using prepCheck (76% agreement; Spearman's rho 0.78).
These data indicate that IOS technology was useful for student's self-evaluation by visual feedback.
本前瞻性队列研究调查了使用口内扫描(IOS)结合软件分析(prepCheck)进行数字化评估的潜力,以评估重复牙体预备的效果及其对牙科学生获得运动技能的影响。
26 名学生在六个练习阶段完成了 177 个全冠预备,然后进行了期末考试。使用 prepCheck 进行数字化评估,并由经过校准的教师进行传统评估。此外,学生还评估了自己的表现,并将其与教师的评估进行了比较。
传统评估表明,学生的预备工作随着时间的推移而提高,第五个练习阶段有 43.5%的学生获得了最高分 2 分(最高等级)。使用 prepCheck 评估,在第一次和第二次练习之间,在设定为 0.2 毫米的公差范围内,面积明显扩大,表明有统计学意义的改善(7.5%的改善;95%置信区间:2.2%,12.7%,p=0.006),并且在第一次运行和期末考试预备之间也有统计学意义的改善(6.7%;95%置信区间:1.7%,12.5%,p=0.011)。在学生使用 prepCheck 收到视觉反馈后,教师/学生评估之间的一致性最好(76%的一致性;Spearman's rho 0.78)。
这些数据表明,IOS 技术通过视觉反馈对学生的自我评价很有用。