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Establishing construct validity of a virtual-reality training simulator for hysteroscopy via a multimetric scoring system.

机译:通过多指标评分系统建立用于宫腔镜检查的虚拟现实训练模拟器的构造有效性。

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BACKGROUND: The aims of this study are to determine construct validity for the HystSim virtual-reality (VR) training simulator for hysteroscopy via a new multimetric scoring system (MMSS) and to explore learning curves for both novices and experienced surgeons. METHODS: Fifteen relevant metrics had been identified for diagnostic hysteroscopy by means of hierarchical task decomposition. They were grouped into four modules (visualization, ergonomics, safety, and fluid handling) and individually weighted, building the MMSS for this study. In a first step, 24 novice medical students and 12 experienced gynecologists went through a self-paced teaching tutorial, in which all participants received clearly stated goals and instructions on how to carry out hysteroscopic procedures properly for this study. All subjects performed five repeated trials on two different exercises on HystSim (exploration and diagnosis exercises). After each trial the results were presented to the participants in the form of an automated objective feedback report (AOFR). Construct validity for the MMSS and learning curves were investigated by comparing the performance between novices and experienced surgeons and in between the repeated trials. To study the effect of repeated practice, 23 of the novices returned 2 weeks later for a second training session. RESULTS: Comparing novices with the experienced group, the ergonomics and fluid handling modules resulted in construct validity, while the visualization module did not, and for the safety module the experienced group even scored significantly lower than novices in both exercises. The overall score showed only construct validity when the safety module was excluded. Concerning learning curves, all subjects improved significantly during the training on HystSim, with clear indication that the second training session was beneficial for novice surgeons. CONCLUSIONS: Construct validity for HystSim has been established for different modules of VR metrics on a new MMSS developed for diagnostic hysteroscopy. Careful refinement and further testing of metrics and scores is required before using them as assessment tools for operative skills.
机译:背景:本研究的目的是通过新的多指标评分系统(MMSS)确定用于宫腔镜检查的HystSim虚拟现实(VR)训练模拟器的结构有效性,并探索新手和有经验的外科医生的学习曲线。方法:通过分级任务分解,已经确定了十五个相关指标用于诊断性宫腔镜检查。将它们分为四个模块(可视化,人体工程学,安全性和流体处理),并分别进行加权,以构建本研究的MMSS。第一步,由24名新手医学生和12名经验丰富的妇科医生进行了自定进度的教学教程,所有参与者均收到明确陈述的目标和说明,以了解如何正确进行本研究的宫腔镜检查程序。所有受试者在HystSim的两个不同练习(探索和诊断练习)上进行了五次重复试验。每次试验后,结果均以自动客观反馈报告(AOFR)的形式呈现给参与者。通过比较新手和经验丰富的外科医生之间以及重复试验之间的表现,研究了MMSS和学习曲线的构造效度。为了研究重复练习的效果,两个新手在2周后返回进行第二次培训。结果:将新手与有经验的小组进行比较,人体工程学和流体处理模块可提高结构的有效性,而可视化模块则没有,并且在安全性模块方面,有经验的小组在两次练习中的得分均明显低于新手。当排除安全模块时,总分仅显示结构的有效性。关于学习曲线,在HystSim培训期间,所有受试者均得到显着改善,明确表明第二次培训课程对新手外科医生有益。结论:HystSim的构建有效性已在针对诊断性宫腔镜开发的新型MMSS上针对不同的VR指标模块建立。在将指标和得分用作操作技能的评估工具之前,需要仔细完善和进一步测试指标和得分。

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