Elessawy Mohamed, Skrzipczyk Moritz, Eckmann-Scholz Christel, Maass Nicolai, Mettler Liselotte, Guenther Veronika, van Mackelenbergh Marion, Bauerschlag Dirk O, Alkatout Ibrahim
Department of Gynecology and Obstetrics, University Hospitals Schleswig-Holstein, Kiel, Germany.
Department of Gynecology and Obstetrics, University Hospitals Schleswig-Holstein, Kiel, Germany.
J Surg Educ. 2017 Jan-Feb;74(1):84-90. doi: 10.1016/j.jsurg.2016.06.007. Epub 2016 Aug 23.
The primary objective of our study was to test the construct validity of the HystSim hysteroscopic simulator to determine whether simulation training can improve the acquisition of hysteroscopic skills regardless of the previous levels of experience of the participants. The secondary objective was to analyze the performance of a selected task, using specially designed scoring charts to help reduce the learning curve for both novices and experienced surgeons.
The teaching of hysteroscopic intervention has received only scant attention, focusing mainly on the development of physical models and box simulators. This encouraged our working group to search for a suitable hysteroscopic simulator module and to test its validation. We decided to use the HystSim hysteroscopic simulator, which is one of the few such simulators that has already completed a validation process, with high ratings for both realism and training capacity. As a testing tool for our study, we selected the myoma resection task. We analyzed the results using the multimetric score system suggested by HystSim, allowing a more precise interpretation of the results.
Between June 2014 and May 2015, our group collected data on 57 participants of minimally invasive surgical training courses at the Kiel School of Gynecological Endoscopy, Department of Gynecology and Obstetrics, University Hospitals Schleswig-Holstein, Campus Kiel.
The novice group consisted of 42 medical students and residents with no prior experience in hysteroscopy, whereas the expert group consisted of 15 participants with more than 2 years of experience of advanced hysteroscopy operations.
The overall results demonstrated that all participants attained significant improvements between their pretest and posttests, independent of their previous levels of experience (p < 0.002). Those in the expert group demonstrated statistically significant, superior scores in the pretest and posttests (p = 0.001, p = 0.006). Regarding visualization and ergonomics, the novices showed a better pretest value than the experts; however, the experts were able to improve significantly during the posttest. These precise findings demonstrated that the multimetric scoring system achieved several important objectives, including clinical relevance, critical relevance, and training motivation.
All participants demonstrated improvements in their hysteroscopic skills, proving an adequate construct validation of the HystSim. Using the multimetric scoring system enabled a more accurate analysis of the performance of the participants independent of their levels of experience which could be an important key for streamlining the learning curve. Future studies testing the predictive validation of the simulator and frequency of the training intervals are necessary before the introduction of the simulator into the standard surgical training curriculum.
我们研究的主要目的是测试HystSim宫腔镜模拟器的结构效度,以确定模拟训练是否能提高宫腔镜技能的掌握程度,而不论参与者之前的经验水平如何。次要目的是使用专门设计的评分表分析一项选定任务的表现,以帮助减少新手和经验丰富的外科医生的学习曲线。
宫腔镜干预教学受到的关注很少,主要集中在实体模型和箱式模拟器的开发上。这促使我们的工作组寻找合适的宫腔镜模拟器模块并测试其有效性。我们决定使用HystSim宫腔镜模拟器,它是少数已经完成验证过程的此类模拟器之一,在真实感和训练能力方面都有很高的评分。作为我们研究的测试工具,我们选择了肌瘤切除术任务。我们使用HystSim建议的多指标评分系统分析结果,以便更精确地解释结果。
2014年6月至2015年5月期间,我们小组收集了石勒苏益格-荷尔斯泰因大学医院基尔校区妇产科基尔妇科内镜学校微创外科培训课程的57名参与者的数据。
新手组由42名没有宫腔镜经验的医学生和住院医生组成,而专家组由15名有超过2年高级宫腔镜手术经验的参与者组成。
总体结果表明,所有参与者在测试前和测试后的表现都有显著改善,与他们之前的经验水平无关(p < 0.002)。专家组在测试前和测试后的得分在统计学上有显著的优势(p = 0.001,p = 0.006)。在可视化和人体工程学方面,新手在测试前的表现优于专家;然而,专家在测试后能够显著提高。这些精确的结果表明,多指标评分系统实现了几个重要目标,包括临床相关性、关键相关性和训练动机。
所有参与者的宫腔镜技能都有提高,证明了HystSim具有足够的结构效度。使用多指标评分系统能够更准确地分析参与者的表现,而不受其经验水平的影响,这可能是简化学习曲线的一个重要关键。在将模拟器引入标准外科培训课程之前,有必要进行进一步的研究来测试模拟器的预测效度和训练间隔的频率。