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本文引用的文献

1
Prediction of learning curves of 2 dental CAD software programs, part 2: Differences in learning effects by type of dental personnel.2 款口腔 CAD 软件学习曲线的预测,第 2 部分:不同类型口腔医务人员的学习效果差异。
J Prosthet Dent. 2020 May;123(5):747-752. doi: 10.1016/j.prosdent.2019.05.026. Epub 2019 Oct 4.
2
Prediction of the learning curves of 2 dental CAD software programs.预测 2 款口腔 CAD 软件的学习曲线。
J Prosthet Dent. 2019 Jan;121(1):95-100. doi: 10.1016/j.prosdent.2018.01.004. Epub 2018 Jul 14.
3
Dental implant navigation system guide the surgery future.牙科种植导航系统引领未来手术。
Kaohsiung J Med Sci. 2018 Jan;34(1):56-64. doi: 10.1016/j.kjms.2017.08.011. Epub 2017 Dec 8.
4
Testing Motor Learning Curves Among Dental Students.牙科学生运动学习曲线的测试
J Dent Educ. 2017 Oct;81(10):1171-1178. doi: 10.21815/JDE.017.076.
5
Comparison of digital intraoral scanner reproducibility and image trueness considering repetitive experience.考虑重复经验时,数字口内扫描仪再现性和图像准确性的比较。
J Prosthet Dent. 2018 Feb;119(2):225-232. doi: 10.1016/j.prosdent.2017.05.002. Epub 2017 Jul 8.
6
Effects of Evaluator's Fatigue and Level of Expertise on the Global and Analytical Evaluation of Preclinical Tooth Preparation.评估者疲劳程度和专业水平对临床前牙体预备的整体和分析评估的影响。
J Prosthodont. 2018 Aug;27(7):636-643. doi: 10.1111/jopr.12558. Epub 2016 Nov 3.
7
Tooth preparations for complete crowns: an art form based on scientific principles.全冠修复的牙体预备:一种基于科学原理的艺术形式。
J Prosthet Dent. 2001 Apr;85(4):363-76. doi: 10.1067/mpr.2001.114685.

[上颌中切牙全瓷冠牙体预备学习曲线的预测、分析及应用]

[Prediction, analysis and application of learning curve of tooth preparation for all ceramic crowns of maxillary central incisors].

作者信息

Wu S Y, Li Y N, Zhang X, Lv L W, Liu Y S, Ye H Q, Zhou Y S

机构信息

Department of Prosthodontics, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China.

出版信息

Beijing Da Xue Xue Bao Yi Xue Ban. 2023 Feb 18;55(1):108-113. doi: 10.19723/j.issn.1671-167X.2023.01.016.

DOI:10.19723/j.issn.1671-167X.2023.01.016
PMID:36718697
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9894811/
Abstract

OBJECTIVE

To predict the learning curve of tooth preparation for all ceramic crowns of maxillary central incisors on phantom head simulators for graduate students participating in standardized dental resident training based on the modified Wright learning curve model, then to analyze and applicate the learning curve.

METHODS

Twelve graduate students participating in standardized dental resident training were selected to prepare the resin maxillary central incisors on phantom head simulators for all ceramic crowns 4 times. The results of preparation were evaluated by 3 prosthetic experts with at least 10 years' experience focusing on the reduction, contour, taper, shoulder, finish line, margin placement, adjacent tooth injury, and preparation time for tooth preparation. The learning rate of tooth preparation was calculated by scores of tooth preparation of 4 times. The learning curve of tooth preparation was predicted based on the modified Wright learning curve model. According to the criteria of standardized training skill examinations for dental residents in Beijing, 80 was taken as the qualified standard score. The minimum training times for tooth preparation to satisfy the qualified standard score (80) was calculated, to analyze the characteristics of learning curve and evaluate the effectiveness of tooth preparation.

RESULTS

The scores of 4 tooth preparation were 64.03±7.80, 71.40±6.13, 74.33±5.96, and 75.98±4.52, respectively. The learning rate was (106±4)%, which showed the learning curve an upward trend. There were no significant differences between the qualified standard score and the predicted scores of tooth preparation from the 5 preparation to the 13 preparation ( > 0.05). The predicted score of the 14 preparation was higher than the qualified standard score ( < 0.05).

CONCLUSION

The trend of the learning curve of tooth preparation for all ceramic crowns of maxillary central incisors on phantom head simulators for graduate students participating in standardized dental resident training is upward, which predicts the minimum training times higher than the qualified standard score is 14 times.

摘要

目的

基于改良的赖特学习曲线模型,预测参与标准化住院医师培训的研究生在上颌中切牙全瓷冠牙体预备模型上的学习曲线,进而对学习曲线进行分析与应用。

方法

选取12名参与标准化住院医师培训的研究生,在上颌中切牙模型上进行4次全瓷冠树脂牙体预备。由3名经验至少10年的修复专家对预备结果进行评估,评估指标包括牙体预备量、外形、锥度、肩台、边缘线、边缘位置、邻牙损伤及牙体预备时间。通过4次牙体预备的评分计算牙体预备的学习率。基于改良的赖特学习曲线模型预测牙体预备的学习曲线。根据北京市住院医师规范化培训技能考核标准,以80分为合格标准分,计算达到合格标准分所需的最少牙体预备次数,分析学习曲线特征并评估牙体预备效果。

结果

4次牙体预备的评分分别为64.03±7.80、71.40±6.13、74.33±5.96、75.98±4.52。学习率为(106±4)%,学习曲线呈上升趋势。从第5次预备到第13次预备,合格标准分与牙体预备预测评分之间差异无统计学意义(P>0.05)。第14次预备的预测评分高于合格标准分(P<0.05)。

结论

参与标准化住院医师培训的研究生在上颌中切牙全瓷冠牙体预备模型上的学习曲线呈上升趋势,预测达到合格标准分所需的最少培训次数为14次。