The Steinberg-Bernstein Centre for Minimally Invasive Surgery, McGill University Health Center, Montreal, QC, Canada.
The University Health Network - Toronto General Hospital, Toronto, ON, Canada.
Tech Coloproctol. 2022 Jul;26(7):551-560. doi: 10.1007/s10151-022-02621-0. Epub 2022 May 3.
Transanal total mesorectal excision (TATME) is difficult to learn and can result in serious complications. Current paradigms for assessing performance and competency may be insufficient. This study aims to develop and provide preliminary validity evidence for a TATME virtual assessment tool (TATME-VAT) to assess the cognitive skills necessary to safely complete TATME dissection.
Participants from North America, Europe, Japan and China completed the test via an interactive online platform between 11/2019 and 05/2020. They were grouped into expert, experienced and novice surgeons depending on the number of independently performed TATMEs. TATME-VAT is a 24-item web-based assessment evaluating advanced cognitive skills, designed according to a blueprint from consensus guidelines. Eight items were multiple choice questions. Sixteen items required making annotations on still frames of TATME videos (VCT) and were scored using a validated algorithm derived from experts' responses. Annotation (range 0-100), multiple choice (range 0-100), and overall scores (sum of annotation and multiple-choice scores, normalized to μ = 50 and σ = 10) were reported.
There were significant differences between the expert, experienced, and novice groups for the annotation (p < 0.001), multiple-choice (p < 0.001), and overall scores (p < 0.001). The annotation (p = 0.439) and overall (p = 0.152) scores were similar between the experienced and novice groups. Annotation scores were higher in participants with 51 or more vs. 30-50 vs. less than 30 cases. Scores were also lower in users with a self-reported recent complication vs. those without.
This study describes the development of an interactive video-based virtual assessment tool for TATME dissection and provides initial validity evidence for its use.
经肛门全直肠系膜切除术(TATME)较难学习,可能导致严重并发症。目前评估表现和能力的模式可能不够充分。本研究旨在开发并初步验证一种 TATME 虚拟评估工具(TATME-VAT),以评估安全完成 TATME 解剖所需的认知技能。
2019 年 11 月至 2020 年 5 月,来自北美、欧洲、日本和中国的参与者通过互动在线平台完成了测试。他们根据独立完成的 TATME 数量分为专家、经验丰富和新手外科医生。TATME-VAT 是一个 24 项的基于网络的评估,评估高级认知技能,根据共识指南的蓝图设计。8 项为多项选择题。16 项要求对 TATME 视频(VCT)的静态帧进行注释,并使用从专家回答中得出的经过验证的算法进行评分。注释(范围 0-100)、多项选择(范围 0-100)和总分(注释和多项选择得分的总和,归一化为μ=50,σ=10)报告。
在注释(p<0.001)、多项选择(p<0.001)和总分(p<0.001)方面,专家、经验丰富和新手组之间存在显著差异。注释(p=0.439)和总分(p=0.152)在经验丰富和新手组之间相似。注释分数在完成 51 例或更多病例的参与者中较高,在完成 30-50 例和少于 30 例病例的参与者中较低。报告近期并发症的用户分数也较低。
本研究描述了一种用于 TATME 解剖的交互式视频虚拟评估工具的开发,并为其使用提供了初步有效性证据。