Development and validation of the objective assessment of robotic suturing and knot tying skills for chicken anastomotic model.


Journal

Surgical endoscopy
ISSN: 1432-2218
Titre abrégé: Surg Endosc
Pays: Germany
ID NLM: 8806653

Informations de publication

Date de publication:
08 2021
Historique:
received: 10 06 2020
accepted: 17 08 2020
pubmed: 29 8 2020
medline: 21 10 2021
entrez: 29 8 2020
Statut: ppublish

Résumé

To improve patient safety, there is an imperative to develop objective performance metrics for basic surgical skills training in robotic surgery. To develop and validate (face, content, and construct) the performance metrics for robotic suturing and knot tying, using a chicken anastomotic model. Study 1: In a procedure characterization, we developed the performance metrics (i.e., procedure steps, errors, and critical errors) for robotic suturing and knot tying, using a chicken anastomotic model. In a modified Delphi panel of 13 experts from four EU countries, we achieved 100% consensus on the five steps, 18 errors and four critical errors (CE) of the task. Study 2: Ten experienced surgeons and nine novice urology surgeons performed the robotic suturing and knot tying chicken anastomotic task. The mean inter-rater reliability for the assessments by two experienced robotic surgeons was 0.92 (95% CI, 0.9-0.95). Novices took 18.5 min to complete the task and experts took 8.2 min. (p = 0.00001) and made 74% more objectively assessed performance errors than the experts (p = 0.000343). We demonstrated face, content, and construct validity for a standard and replicable basic anastomotic robotic suturing and knot tying task on a chicken model. Validated, objective, and transparent performance metrics of a robotic surgical suturing and knot tying tasks are imperative for effective and quality assured surgical training.

Sections du résumé

BACKGROUND
To improve patient safety, there is an imperative to develop objective performance metrics for basic surgical skills training in robotic surgery.
OBJECTIVE
To develop and validate (face, content, and construct) the performance metrics for robotic suturing and knot tying, using a chicken anastomotic model.
DESIGN, SETTING AND PARTICIPANTS
Study 1: In a procedure characterization, we developed the performance metrics (i.e., procedure steps, errors, and critical errors) for robotic suturing and knot tying, using a chicken anastomotic model. In a modified Delphi panel of 13 experts from four EU countries, we achieved 100% consensus on the five steps, 18 errors and four critical errors (CE) of the task. Study 2: Ten experienced surgeons and nine novice urology surgeons performed the robotic suturing and knot tying chicken anastomotic task. The mean inter-rater reliability for the assessments by two experienced robotic surgeons was 0.92 (95% CI, 0.9-0.95). Novices took 18.5 min to complete the task and experts took 8.2 min. (p = 0.00001) and made 74% more objectively assessed performance errors than the experts (p = 0.000343).
CONCLUSIONS
We demonstrated face, content, and construct validity for a standard and replicable basic anastomotic robotic suturing and knot tying task on a chicken model. Validated, objective, and transparent performance metrics of a robotic surgical suturing and knot tying tasks are imperative for effective and quality assured surgical training.

Identifiants

pubmed: 32857241
doi: 10.1007/s00464-020-07918-5
pii: 10.1007/s00464-020-07918-5
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

4285-4294

Références

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Auteurs

Stefano Puliatti (S)

ORSI Academy, Melle, Belgium.
Department of Urology, OLV, Aalst, Belgium.
Department of Urology, University of Modena and Reggio Emilia, Modena, Italy.

Elio Mazzone (E)

Division of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
Vita-Salute San Raffaele University, Milan, Italy.

Marco Amato (M)

ORSI Academy, Melle, Belgium. marcohz92@gmail.com.
Department of Urology, OLV, Aalst, Belgium. marcohz92@gmail.com.
Department of Urology, University of Modena and Reggio Emilia, Modena, Italy. marcohz92@gmail.com.

Ruben De Groote (R)

ORSI Academy, Melle, Belgium.
Department of Urology, OLV, Aalst, Belgium.

Alexandre Mottrie (A)

ORSI Academy, Melle, Belgium.
Department of Urology, OLV, Aalst, Belgium.

Anthony G Gallagher (AG)

ORSI Academy, Melle, Belgium.
Faculty of Life and Health Sciences, Ulster University, Derry, Northern Ireland, UK.
Faculty of Medicine, KU Leuven, Leuven, Belgium.

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