Beulens Alexander J W, Brinkman Willem M, Koldewijn Evert L, Hendrikx Ad J M, van Basten Jean Paul A, van Merriënboer Jeroen J G, Van der Poel Henk G, Bangma Chris H, Wagner Cordula
Netherlands Institute for Health Services Research (NIVEL), Utrecht, The Netherlands.
Department of Urology, Catharina Hospital, Eindhoven, The Netherlands.
Eur Urol Open Sci. 2020 Jul 3;19:37-44. doi: 10.1016/j.euros.2020.05.003. eCollection 2020 Jul.
valuation of surgical skills, both technical and nontechnical, is possible through observations and video analysis. Besides technical failures, adverse outcomes in surgery can also be related to hampered communication, moderate teamwork, lack of leadership, and loss of situational awareness. Even though some surgeons are convinced about nontechnical skills being an important part of their professionalisation, there is paucity of data about a possible relationship between nontechnical skills and surgical outcome. In robot-assisted surgery, the surgeon sits behind the console and is at a remote position from the surgical field and team, making communication more important than in open surgery and conventional laparoscopy. A lack of structured research makes it difficult to assess the value of the different analysis methods for nontechnical skills, particularly in robot-assisted surgery. Our hypothesis includes the following: (1) introduction of robot-assisted surgery leads to an initial decay in nontechnical skills behaviour during the learning curve of the team, (2) nontechnical skills behaviour is more explicitly expressed in experienced robot-assisted surgery teams than in experienced open surgery teams, and (3) introduction of robot-assisted surgery leads to the development of different forms of nontechnical skills behaviour compared with open surgery.
This study is a prospective, observational, multicentre, nonrandomised, case-control study including bladder cancer patients undergoing either an open radical cystectomy or a robot-assisted radical cystectomy at the Catharina Hospital Eindhoven, the Netherlands, or at the Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital Amsterdam. All patients are eligible for inclusion; there are no exclusion criteria. The Catharina Hospital Eindhoven, the Netherlands, performs on average 35 radical cystectomies a year. The Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital Amsterdam, performs on average 100 radical cystectomies a year.
The choice of treatment is at the discretion of the patient and the surgeon. Patient results will be obtained prospectively. Pathology results as well as complications occurring within 90 d following surgery will be registered. Surgical complications will be registered according to the Clavien-Dindo system.
Nontechnical skills will be observed using five different methods: (1) NOTSS: Nontechnical Skills for Surgeons; (2) Oxford NOTECHS II: a modified theatre team nontechnical skills scoring system; (3) OTAS: Observational Teamwork Assessment for Surgery; (4) Interpersonal and Cognitive Assessment for Robotic Surgery (ICARS): evaluation of nontechnical skills in robotic surgery; and (5) analysis of human factors. Technical skills in robot-assisted radical cystectomy will be analysed using two different methods: (1) GEARS: Global Evaluative Assessment of Robotic Skill and (2) GERT: Generic Error Rating Tool.
Formal ethical approval has been provided by Medical research Ethics Committees United (MEC-U), The Netherlands (reference number W19.048). We hope to present the results of this study to the scientific community at conferences and in peer-reviewed journals.
Frequency statistics will be calculated for patient demographical data, and a Shapiro-Wilk test with > 0.05 will be used to define normal distribution. Univariate analysis will be conducted to test for statistically significant differences in observation scores between open radical cystectomy and robot-assisted radical cystectomy cohorts across all variables, using independent sample tests and Mann-Whitney testing, as appropriate. A variable-selection strategy will be used to create multivariate models. Binary logistic regression will be conducted to calculate odds ratios and 95% confidence intervals for significant predictors on univariate analysis and clinically relevant covariates. Statistical significance is set at < 0.05 based on a two-tailed comparison.
This study uses a structured approach to the analysis of nontechnical skills using extracorporeal videos of both open radical cystectomy and robot-assisted radical cystectomy surgeries, in order to obtain detailed data on nontechnical skills during open and minimally invasive surgeries. The results of this study could possibly be used to develop team-training programmes, specifically for the introduction of the surgical robot in relation to changes in nontechnical skills. Additional analysis of technical skills using the intracorporeal footage of the surgical robot will be used to elucidate the role of surgical skills and surgical events in nontechnical skills.
通过观察和视频分析,可以对外科手术技能(包括技术技能和非技术技能)进行评估。除技术失误外,手术中的不良后果还可能与沟通受阻、团队协作一般、缺乏领导力以及情境意识丧失有关。尽管一些外科医生确信非技术技能是其专业化的重要组成部分,但关于非技术技能与手术结果之间可能存在的关系的数据却很少。在机器人辅助手术中,外科医生坐在控制台后,与手术区域和团队处于远程位置,这使得沟通比开放手术和传统腹腔镜手术更为重要。缺乏结构化研究使得难以评估不同非技术技能分析方法的价值,尤其是在机器人辅助手术中。我们的假设包括以下几点:(1)引入机器人辅助手术会导致团队学习曲线期间非技术技能行为的初步衰退;(2)经验丰富的机器人辅助手术团队比经验丰富的开放手术团队更明确地表现出非技术技能行为;(3)与开放手术相比,引入机器人辅助手术会导致不同形式的非技术技能行为的发展。
本研究是一项前瞻性、观察性、多中心、非随机、病例对照研究,纳入了在荷兰埃因霍温的卡塔琳娜医院或阿姆斯特丹的荷兰癌症研究所安东尼·范·列文虎克医院接受开放根治性膀胱切除术或机器人辅助根治性膀胱切除术的膀胱癌患者。所有患者均符合纳入条件;无排除标准。荷兰埃因霍温的卡塔琳娜医院平均每年进行35例根治性膀胱切除术。阿姆斯特丹的荷兰癌症研究所安东尼·范·列文虎克医院平均每年进行100例根治性膀胱切除术。
治疗方案由患者和外科医生自行决定。将前瞻性地获取患者结果。将记录病理结果以及术后90天内发生的并发症。手术并发症将根据Clavien-Dindo系统进行记录。
将使用五种不同方法观察非技术技能:(1)NOTSS:外科医生非技术技能;(2)牛津NOTECHS II:一种改良的手术室团队非技术技能评分系统;(3)OTAS:手术观察性团队合作评估;(4)机器人手术的人际和认知评估(ICARS):评估机器人手术中的非技术技能;(5)人为因素分析。将使用两种不同方法分析机器人辅助根治性膀胱切除术中的技术技能:(1)GEARS:机器人技能全球评估;(2)GERT:通用错误评级工具。
荷兰联合医学研究伦理委员会(MEC-U)已提供正式伦理批准(参考编号W19.048)。我们希望在会议和同行评审期刊上向科学界展示本研究的结果。
将计算患者人口统计学数据的频率统计,并使用Shapiro-Wilk检验(p>0.05)来定义正态分布。将进行单变量分析,以使用独立样本t检验和Mann-Whitney U检验(视情况而定),测试开放根治性膀胱切除术和机器人辅助根治性膀胱切除术队列在所有变量上观察分数的统计学显著差异。将使用变量选择策略创建多变量模型。将进行二元逻辑回归,以计算单变量分析中显著预测因素和临床相关协变量的优势比和95%置信区间。基于双侧比较,将统计显著性设定为p<0.05。
本研究采用结构化方法,通过开放根治性膀胱切除术和机器人辅助根治性膀胱切除术的体外视频分析非技术技能,以获取开放手术和微创手术中非技术技能的详细数据。本研究结果可能用于制定团队培训计划,特别是针对引入手术机器人时非技术技能变化的培训计划。使用手术机器人的体内视频对技术技能进行的额外分析将用于阐明手术技能和手术事件在非技术技能中的作用。