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

neck dissection simulation surgical oncology surgical training total laryngectomy

Journal

Surgical innovation
ISSN: 1553-3514
Titre abrégé: Surg Innov
Pays: United States
ID NLM: 101233809

Informations de publication

Date de publication:
16 Oct 2024
Historique:
medline: 16 10 2024
pubmed: 16 10 2024
entrez: 16 10 2024
Statut: aheadofprint

Résumé

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. 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. 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 ( 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.

Sections du résumé

BACKGROUND 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 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 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 (
CONCLUSION CONCLUSIONS
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.

Identifiants

pubmed: 39411873
doi: 10.1177/15533506241292698
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

15533506241292698

Déclaration de conflit d'intérêts

Declaration of conflicting interestsThe author(s) declared the following potential conflicts of interest with respect to the research, authorship, and/or publication of this article: JP. Faure and D. Oriot are patent co-owners of the P4P device enabling revascularization and re-ventilation. All other authors declare that they have no conflict of interest.

Auteurs

Anne Rullière (A)

Service ORL et Chirurgie Cervico-Faciale, Centre Hospitalier Universitaire de Poitiers, Poitiers, France.

Jérôme Danion (J)

Service de Chirurgie Viscérale, Centre Hospitalier Universitaire de Poitiers, Poitiers, France.
ABS Lab, Université de Poitiers, Poitiers, France.

Xavier Dufour (X)

Service ORL et Chirurgie Cervico-Faciale, Centre Hospitalier Universitaire de Poitiers, Poitiers, France.

Denis Oriot (D)

ABS Lab, Université de Poitiers, Poitiers, France.

Jean-Pierre Faure (JP)

Service de Chirurgie Viscérale, Centre Hospitalier Universitaire de Poitiers, Poitiers, France.
ABS Lab, Université de Poitiers, Poitiers, France.

Valentin Favier (V)

Département d'ORL et Chirurgie Cervico-Faciale, Hôpital Gui de Chauliac, Centre Hospitalier Universitaire de Montpellier, Montpellier, France.

Florent Carsuzaa (F)

Service ORL et Chirurgie Cervico-Faciale, Centre Hospitalier Universitaire de Poitiers, Poitiers, France.

Classifications MeSH