Division of Urology, University of Toronto, Toronto, ON, Canada.
Faculty of Medicine, University of Toronto, Toronto, ON, Canada.
BJU Int. 2018 Sep;122(3):501-519. doi: 10.1111/bju.14219. Epub 2018 Apr 24.
To systematically review and synthesise the validity evidence supporting intraoperative and simulation-based assessments of technical skill in urological robot-assisted surgery (RAS), and make evidence-based recommendations for the implementation of these assessments in urological training.
A literature search of the Medline, PsycINFO and Embase databases was performed. Articles using technical skill and simulation-based assessments in RAS were abstracted. Only studies involving urology trainees or faculty were included in the final analysis.
Multiple tools for the assessment of technical robotic skill have been published, with mixed sources of validity evidence to support their use. These evaluations have been used in both the ex vivo and in vivo settings. Performance evaluations range from global rating scales to psychometrics, and assessments are carried out through automation, expert analysts, and crowdsourcing.
There have been rapid expansions in approaches to RAS technical skills assessment, both in simulated and clinical settings. Alternative approaches to assessment in RAS, such as crowdsourcing and psychometrics, remain under investigation. Evidence to support the use of these metrics in high-stakes decisions is likely insufficient at present.
系统回顾和综合支持泌尿外科机器人辅助手术(RAS)中术中及模拟基础上的技术技能评估的有效性证据,并为泌尿外科培训中实施这些评估提出循证建议。
对 Medline、PsycINFO 和 Embase 数据库进行文献检索。摘要了 RAS 中使用技术技能和基于模拟的评估的文章。最终分析仅纳入涉及泌尿外科受训者或教员的研究。
已经发表了多种用于评估机器人技术技能的工具,其有效性证据来源各不相同。这些评估已在体外用具和体内应用中进行。绩效评估范围从整体评分量表到心理计量学,评估通过自动化、专家分析和众包进行。
在模拟和临床环境中,RAS 技术技能评估的方法迅速扩展。RAS 评估的替代方法,如众包和心理计量学,仍在研究中。目前,支持在高风险决策中使用这些指标的证据可能还不够充分。