Division of Gynecologic Oncology, University of Alabama at Birmingham, Birmingham, AL, USA.
Division of Gynecologic Oncology, University of California, Los Angeles, Los Angeles, CA, USA.
J Gynecol Oncol. 2021 Mar;32(2):e26. doi: 10.3802/jgo.2021.32.e26. Epub 2021 Jan 8.
To evaluate the utility of a society-based robotic surgery training program for fellows in gynecologic oncology.
All participants underwent a 2-day robotic surgery training course between 2015-2017. The course included interactive didactic sessions with video, dry labs, and robotic cadaver labs. The labs encompassed a wide range of subject matter including troubleshooting, instrument variation, radical hysterectomies, and lymph node dissections. Participants completed a pre- and post-course survey using a 5-point Likert scale ranging from "not confident" to "extremely confident" on various measures. Statistical analysis was performed using SPSS Statistics v. 24.
The response rate was high with 86% of the 70 participants completing the survey. Sixteen (26.7%) of these individuals were attending physicians and 44 (73.3%) were fellows. In general, there was a significant increase in confidence in more complex procedures and concepts such as radical hysterectomy (p=0.01), lymph node dissection (p=0.01), troubleshooting (p=0.001), and managing complications (p=0.004). Faculty comfort and practice patterns were cited as the primary reason (58.9%) for limitations during robotic procedures followed secondarily by surgical resources (34.0%).
In both gynecologic oncology fellows and attendings, this educational theory-based curriculum significantly improved confidence in the majority of procedures and concepts taught, emphasizing the value of hands-on skill labs.
评估基于社会的机器人手术培训计划在妇科肿瘤学研究员中的应用。
所有参与者均在 2015-2017 年间参加了为期两天的机器人手术培训课程。该课程包括互动式讲座、视频、干实验室和机器人尸体实验室。实验室涵盖了广泛的主题,包括故障排除、器械变化、根治性子宫切除术和淋巴结解剖。参与者使用 5 点李克特量表在各种措施上对“不自信”到“非常自信”进行了课前和课后调查。使用 SPSS Statistics v. 24 进行统计分析。
应答率很高,70 名参与者中有 86%完成了调查。其中 16 人(26.7%)为主治医生,44 人(73.3%)为研究员。总的来说,在更复杂的手术程序和概念方面,如根治性子宫切除术(p=0.01)、淋巴结解剖(p=0.01)、故障排除(p=0.001)和处理并发症(p=0.004)方面,信心显著增强。外科医生的舒适度和实践模式被认为是机器人手术中存在限制的主要原因(58.9%),其次是手术资源(34.0%)。
在妇科肿瘤学研究员和主治医生中,这种基于教育理论的课程显著提高了大多数所教授手术程序和概念的信心,强调了实践技能实验室的价值。