Does the ArthroSim™ Shoulder Simulation Discriminate Between the Novice and Expert User? An External Validation Study of the ArthroSim™ Shoulder Arthroscopy Simulator.
Zafar Ahmad, Faisal Mehmood, Samuelson E Osifo, Ali Noorani, Kash Akhtar
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引用次数: 0
Abstract
Introduction: Our aim is to investigate the face validity and the construct validity of the ArthroSim™ virtual reality shoulder arthroscopy simulator (Touch of Life Technologies, Inc., Aurora, Colorado).
Materials and methods: Fifteen doctors participated, with five from each of the following levels: novice with no arthroscopies performed, intermediate with less than 50 arthroscopies performed, and expert with over 100 arthroscopies performed. They first undertook a simulation task on the ArthroSim™ simulator, with the simulation and their body movements recorded. Each participant then completed a Likert scale questionnaire after their simulation task evaluating the face validity of the machine. The video recordings were rated by two shoulder surgeons independently using the Global Rating Scale for Shoulder Arthroplasty (GRSSA), Arthroscopic Surgical Skill Evaluation Tool (ASSET), and Imperial Global Arthroscopy Rating Scale (IGARS) scoring systems for construct validation.
Results: All three scales demonstrated high internal consistency GRSSA (0.976 ), ASSET (0.980), and IGARS (0.979). The intraclass correlation coefficient demonstrated high agreement between the assessors: GRSSA (0.88), ASSET (0.90), and IGARS (0.89). Construct validity was evaluated using Kruskal-Wallis one-way analysis of variance: GRSSA (chi square test: 19.828; p<0.001); ASSET (chi square test: 19.62; p<0.001); and IGARS (chi square test: 19.63; p<0.001). This demonstrates that the three scoring systems distinguish significantly between participants with different levels of experience utilizing a virtual reality simulator.
Conclusion: Our study has shown that the ArthoSim™ simulator can accurately distinguish between experience level of the participants. It is more effective in reproducing a training environment as reality for less experienced surgeons. All participants agreed that it is valuable in developing surgical training for the novice and intermediate skill level.
我们的目的是研究ArthroSim™虚拟现实肩关节镜模拟器(Touch of Life Technologies, Inc., Aurora, Colorado)的面部效度和结构效度。材料与方法:参与调查的医生15名,分别为未做过关节镜手术的新手、少于50次关节镜手术的中级医生和超过100次关节镜手术的专家,每个级别各5名。他们首先在ArthroSim™模拟器上进行模拟任务,并记录模拟和他们的身体运动。然后,每个参与者在模拟任务后完成了一份李克特量表问卷,评估机器的面部有效性。视频记录由两名肩关节外科医生独立使用肩关节置换术全球评定量表(GRSSA)、关节镜手术技能评估工具(ASSET)和帝国关节镜全球评定量表(IGARS)评分系统进行评分,以进行结构验证。结果:三种量表GRSSA(0.976)、ASSET(0.980)、IGARS(0.979)具有较高的内部一致性。类别内相关系数显示评估者之间的一致性很高:GRSSA (0.88), ASSET(0.90)和IGARS(0.89)。结构效度评价采用Kruskal-Wallis单因素方差分析:GRSSA(卡方检验:19.828;结论:我们的研究表明,ArthoSim™模拟器可以准确地区分参与者的经验水平。对于经验不足的外科医生来说,它更有效地再现了真实的培训环境。与会者一致认为,这对发展新手和中级水平的外科培训是有价值的。