VU University Medical Centre, Amsterdam, the Netherlands.
BJU Int. 2010 Jan;105(2):234-9. doi: 10.1111/j.1464-410X.2009.08733.x. Epub 2009 Jul 6.
To assess the construct validity of the URO Mentor (Simbionix Corp., Cleveland, OH, USA) virtual reality training model for several variables of skills training in cysto-urethroscopy, addressing two research questions: (i) Does training on the URO Mentor significantly improve novices' performance in terms of time, trauma, areas inspected and Global Rating Scale (GRS) score?; (ii) is discrimination between different levels of expertise possible using the URO Mentor?
Thirty experts and 50 novices performed seven tasks on the URO Mentor during one training session. The first, fourth and seventh tasks were 'test tasks' to evaluate participants' performance. The simulator recorded procedure time and trauma; a supervisor scored which areas were inspected and gave scores on the GRS. A two-way analysis of variance with repeated-measures test was used to analyse experts' and novices' performances, with P < 0.05 considered to indicate statistical significance. Effect sizes (ES) were calculated to quantify the practical significance of the results; ES of 0.10, 0.30, and 0.50 were considered small, medium and large, respectively.
Novices' performances showed a significant improvement with large ES in time (linear trend of learning curve P < 0.001, ES 0.66) and mean GRS score (linear trend P < 0.001, ES 0.84, quadratic trend P = 0.018, ES 0.24). There was a medium improvement for trauma (linear trend P < 0.001, ES 0.40) and a small improvement in areas inspected (linear trend P = 0.032, ES 0.21). That the 95% confidence intervals of the measures on the first task of experts and novices did not coincide indicates that differentiation between experts and novices on the four variables measured can be achieved using the URO Mentor.
Training on the URO Mentor appears to result in a medium to large improvement of novices' performances for time, trauma, areas inspected and GRS scores. Moreover, discrimination between different levels of expertise is possible using this simulator.
评估 URO Mentor(美国俄亥俄州克利夫兰市 Simbionix 公司)虚拟现实培训模型在几项膀胱镜检查技能培训变量方面的结构效度,解决两个研究问题:(i)在 URO Mentor 上进行培训是否能显著提高新手在时间、创伤、检查区域和整体评分量表(GRS)评分方面的表现?;(ii)使用 URO Mentor 是否可以区分不同水平的专业知识?
30 名专家和 50 名新手在一次培训课程中完成了 URO Mentor 的 7 项任务。前、四和七项任务是评估参与者表现的“测试任务”。模拟器记录了程序时间和创伤;主管对检查的区域进行评分,并对 GRS 进行评分。采用重复测量方差分析来分析专家和新手的表现,P<0.05 表示具有统计学意义。计算效应大小(ES)来量化结果的实际意义;ES 分别为 0.10、0.30 和 0.50 分别表示小、中和大。
新手的表现随着时间(学习曲线的线性趋势 P<0.001,ES 0.66)和平均 GRS 评分(线性趋势 P<0.001,ES 0.84,二次趋势 P=0.018,ES 0.24)的显著提高而有了较大的 ES。创伤有中等程度的改善(线性趋势 P<0.001,ES 0.40),检查区域有较小程度的改善(线性趋势 P=0.032,ES 0.21)。专家和新手在第一次任务中的测量值的 95%置信区间不重合表明,使用 URO Mentor 可以在测量的四个变量上区分专家和新手。
在 URO Mentor 上进行培训似乎可以使新手在时间、创伤、检查区域和 GRS 评分方面的表现有从中等到较大的提高。此外,使用此模拟器可以区分不同水平的专业知识。