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反馈方式对使用自动化教育系统的模拟外科技能学习的影响——一项四臂随机对照试验

Effect of Feedback Modality on Simulated Surgical Skills Learning Using Automated Educational Systems- A Four-Arm Randomized Control Trial.

作者信息

Yilmaz Recai, Fazlollahi Ali M, Winkler-Schwartz Alexander, Wang Anna, Makhani Hafila Hassan, Alsayegh Ahmad, Bakhaidar Mohamad, Tran Dan Huy, Santaguida Carlo, Del Maestro Rolando F

机构信息

Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology & Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada; Faculty of Medicine and Health Sciences, McGill University, Montreal, Canada.

Neurosurgical Simulation and Artificial Intelligence Learning Centre, Department of Neurology & Neurosurgery, Montreal Neurological Institute, McGill University, Montreal, Quebec, Canada; Faculty of Medicine and Health Sciences, McGill University, Montreal, Canada.

出版信息

J Surg Educ. 2024 Feb;81(2):275-287. doi: 10.1016/j.jsurg.2023.11.001. Epub 2023 Dec 29.

Abstract

OBJECTIVE

To explore optimal feedback methodologies to enhance trainee skill acquisition in simulated surgical bimanual skills learning during brain tumor resections.

HYPOTHESES

(1) Providing feedback results in better learning outcomes in teaching surgical technical skill when compared to practice alone with no tailored performance feedback. (2) Providing more visual and visuospatial feedback results in better learning outcomes when compared to providing numerical feedback.

DESIGN

A prospective 4-parallel-arm randomized controlled trial.

SETTING

Neurosurgical Simulation and Artificial Intelligence Learning Centre, McGill University, Canada.

PARTICIPANTS

Medical students (n = 120) from 4 Quebec medical schools.

RESULTS

Participants completed a virtually simulated tumor resection task 5 times while receiving 1 of 4 feedback based on their group allocation: (1) practice-alone without feedback, (2) numerical feedback, (3) visual feedback, and (4) visuospatial feedback. Outcome measures were participants' scores on 14-performance metrics and the number of expert benchmarks achieved during each task. There were no significant differences in the first task which determined baseline performance. A statistically significant interaction between feedback allocation and task repetition was found on the number of benchmarks achieved, F (10.558, 408.257)=3.220, p < 0.001. Participants in all feedback groups significantly improved their performance compared to baseline. The visual feedback group achieved significantly higher number of benchmarks than the practice-alone group by the third repetition of the task, p = 0.005, 95%CI [0.42 3.25]. Visual feedback and visuospatial feedback improved performance significantly by the second repetition of the task, p = 0.016, 95%CI [0.19 2.71] and p = 0.003, 95%CI [0.4 2.57], respectively.

CONCLUSION

Simulations with autonomous visual computer assistance may be effective pedagogical tools in teaching bimanual operative skills via visual and visuospatial feedback information delivery.

摘要

目的

探讨在脑肿瘤切除术中模拟手术双手技能学习过程中,增强学员技能习得的最佳反馈方法。

假设

(1)与无针对性表现反馈的单纯练习相比,提供反馈在教授手术技术技能时能带来更好的学习效果。(2)与提供数字反馈相比,提供更多视觉和视觉空间反馈能带来更好的学习效果。

设计

一项前瞻性4平行组随机对照试验。

地点

加拿大麦吉尔大学神经外科模拟与人工智能学习中心。

参与者

来自魁北克4所医学院的医学生(n = 120)。

结果

参与者在接受基于其分组分配的4种反馈之一时,完成了5次虚拟模拟肿瘤切除任务:(1)无反馈的单纯练习,(2)数字反馈,(3)视觉反馈,(4)视觉空间反馈。结果指标为参与者在14项表现指标上的得分以及每次任务中达到的专家基准数量。在确定基线表现的第一项任务中没有显著差异。在达到的基准数量上发现反馈分配与任务重复之间存在统计学显著交互作用,F(10.558,408.257)= 3.220,p < 0.001。与基线相比,所有反馈组的参与者表现均有显著改善。到任务第三次重复时,视觉反馈组达到的基准数量显著高于无反馈单纯练习组,p = 0.005,95%CI [0.42 3.25]。到任务第二次重复时,视觉反馈和视觉空间反馈分别显著提高了表现,p = 0.016,95%CI [0.19 2.71]和p = 0.003,95%CI [0.4 2.57]。

结论

通过视觉和视觉空间反馈信息传递,具有自主视觉计算机辅助的模拟可能是教授双手操作技能的有效教学工具。

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