Sánchez Renata, Rodríguez Omaira, Rosciano José, Vegas Liumariel, Bond Verónica, Rojas Aram, Sanchez-Ismayel Alexis
Robotic Surgery Program. University Hospital of Caracas, Medicine Faculty, Central University of Venezuela, Caracas, Venezuela.
Robotic and Minimally Invasive Surgery (UNIC), Caracas, Venezuela.
J Robot Surg. 2016 Sep;10(3):227-31. doi: 10.1007/s11701-016-0572-1. Epub 2016 Apr 2.
The objective of this study is to determine the ability of the GEARS scale (Global Evaluative Assessment of Robotic Skills) to differentiate individuals with different levels of experience in robotic surgery, as a fundamental validation. This is a cross-sectional study that included three groups of individuals with different levels of experience in robotic surgery (expert, intermediate, novice) their performance were assessed by GEARS applied by two reviewers. The difference between groups was determined by Mann-Whitney test and the consistency between the reviewers was studied by Kendall W coefficient. The agreement between the reviewers of the scale GEARS was 0.96. The score was 29.8 ± 0.4 to experts, 24 ± 2.8 to intermediates and 16 ± 3 to novices, with a statistically significant difference between all of them (p < 0.05). All parameters from the scale allow discriminating between different levels of experience, with exception of the depth perception item. We conclude that the scale GEARS was able to differentiate between individuals with different levels of experience in robotic surgery and, therefore, is a validated and useful tool to evaluate surgeons in training.
本研究的目的是确定GEARS量表(机器人手术全球评估量表)区分不同机器人手术经验水平个体的能力,作为一项基本验证。这是一项横断面研究,纳入了三组机器人手术经验水平不同的个体(专家、中级、新手),由两名评估者应用GEARS对其表现进行评估。组间差异通过曼-惠特尼检验确定,评估者之间的一致性通过肯德尔W系数进行研究。GEARS量表评估者之间的一致性为0.96。专家的得分是29.8±0.4,中级为24±2.8,新手为16±3,所有组之间差异具有统计学意义(p<0.05)。除深度感知项目外,该量表的所有参数都能区分不同的经验水平。我们得出结论,GEARS量表能够区分不同机器人手术经验水平的个体,因此是评估实习外科医生的一个经过验证的有用工具。