Assessment of Surgical Competences for Neck Dissection and Total Laryngectomy on Revascularized Cadaver Models: Onco-Neck-Score and Onco-Larynx-Score.

IF 1.2 4区医学 Q3 SURGERY

Surgical Innovation Pub Date : 2024-10-16 DOI:10.1177/15533506241292698

Anne Rullière, Jérôme Danion, Xavier Dufour, Denis Oriot, Jean-Pierre Faure, Valentin Favier, Florent Carsuzaa

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引用次数: 0

Abstract

Background: In surgical simulation, evaluation tools are necessary to allow the overall and specific level of each gesture to be assessed for learners, to allow active feedback and follow-up. The aim of this study was to create and validate a scale for the assessment of competences for neck dissection (ND) and total laryngectomy (TL) in head and neck surgical oncology simulation specific for revascularized cadavers' models.

Methods: Two independent scales were created for ND and TL based on a two-round Delphi method. The scales were used during ND and TL simulation sessions on SimLife® (Symedis, Poitiers, France) model. Surgical steps were scored by 2 independent observers. To assess its ease of use, a questionnaire was answered by senior surgeons (SS) at the end of the sessions.

Results: Fifteen items were included in the final version for ND scale and 20 for TL scale. The results of 14 lateral ND and 8 TL were included. The mean score was higher for SS (69 ± 6.4; 87.5 ± 8.5) than for residents (36.5 ± 11; 57.5 ± 13.2) for ND (P = 0.0006) and TL (P = 0.028) respectively. Six SS strongly agreed that this tool had a positive impact on resident training with stepwise feedback and accurately represented their competences.

Conclusion: We developed a pedagogic tool built to assess surgical competence for head and neck surgical oncology on revascularized cadaver models. This tool has a good construct validity thanks to the expert reviewing with Delphi method and appears to have fine acceptability by the SS.

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在血管再造尸体模型上评估颈部切除术和全喉切除术的手术能力：肿瘤颈部评分（Onco-Neck-Score）和肿瘤喉部评分（Onco-Larynx-Score）。

背景：在手术模拟中，有必要使用评估工具来评估学习者每个手势的整体和具体水平，以便进行积极的反馈和跟踪。本研究的目的是为头颈部肿瘤手术模拟中颈部解剖（ND）和全喉切除术（TL）的能力评估创建并验证一个专门针对血管再通尸体模型的量表：根据两轮德尔菲法，为 ND 和 TL 创建了两个独立的量表。这些量表在 SimLife® (Symedis, Poitiers, France) 模型的 ND 和 TL 模拟课程中使用。手术步骤由两名独立观察员进行评分。为了评估其易用性，由资深外科医生（SS）在模拟课程结束时回答问卷：最终版本的 ND 量表包含 15 个项目，TL 量表包含 20 个项目。14 名外科医生和 8 名外科医生的结果被纳入其中。在 ND（P = 0.0006）和 TL（P = 0.028）方面，SS 的平均得分（69 ± 6.4；87.5 ± 8.5）分别高于住院医生（36.5 ± 11；57.5 ± 13.2）。六名住院医师强烈认为，该工具对住院医师培训产生了积极影响，提供了循序渐进的反馈，并准确地反映了他们的能力：我们开发了一种教学工具，用于评估头颈部肿瘤外科在血管再通尸体模型上的手术能力。通过德尔菲法的专家评审，该工具具有良好的建构效度，而且似乎很容易被外科医师接受。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Surgical Innovation 医学-外科

CiteScore

2.90

自引率

0.00%

发文量

审稿时长

6-12 weeks

期刊介绍： Surgical Innovation (SRI) is a peer-reviewed bi-monthly journal focusing on minimally invasive surgical techniques, new instruments such as laparoscopes and endoscopes, and new technologies. SRI prepares surgeons to think and work in "the operating room of the future" through learning new techniques, understanding and adapting to new technologies, maintaining surgical competencies, and applying surgical outcomes data to their practices. This journal is a member of the Committee on Publication Ethics (COPE).