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European expert consensus on a structured approach to training robotic‐assisted low anterior resection using performance metrics

AIM: The aim was to develop and operationally define ‘performance metrics’ that characterize a reference approach to robotic‐assisted low anterior resection (RA‐LAR) and to obtain face and content validity through a consensus meeting. METHOD: Three senior colorectal surgeons with robotic experience...

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Autores principales: Tou, S., Gómez Ruiz, M., Gallagher, A. G., Matzel, K. E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818231/
https://www.ncbi.nlm.nih.gov/pubmed/32663361
http://dx.doi.org/10.1111/codi.15269
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author Tou, S.
Gómez Ruiz, M.
Gallagher, A. G.
Matzel, K. E.
author_facet Tou, S.
Gómez Ruiz, M.
Gallagher, A. G.
Matzel, K. E.
author_sort Tou, S.
collection PubMed
description AIM: The aim was to develop and operationally define ‘performance metrics’ that characterize a reference approach to robotic‐assisted low anterior resection (RA‐LAR) and to obtain face and content validity through a consensus meeting. METHOD: Three senior colorectal surgeons with robotic experience and a senior behavioural scientist formed the Metrics Group. We used published guidelines, training materials, manufacturers’ instructions and unedited videos of RA‐LAR to deconstruct the operation into defined, measurable components – performance metrics (i.e. procedure phases, steps, errors and critical errors). The performance metrics were then subjected to detailed critique by 18 expert colorectal surgeons in a modified Delphi process. RESULTS: Performance metrics for RA‐LAR had 15 procedure phases, 128 steps, 89 errors and 117 critical errors in women, 88 errors and 118 critical errors in men. After the modified Delphi process the final performance metrics consisted of 14 procedure phases, 129 steps, 88 errors and 115 critical errors in women, 87 errors and 116 critical errors in men. After discussion by the Delphi panel, all procedure phases received unanimous consensus apart from phase I (patient positioning and preparation, 83%) and phase IV (docking, 94%). CONCLUSION: A robotic rectal operation can be broken down into procedure phases, steps, with errors and critical errors, known as performance metrics. The face and content of these metrics have been validated by a large group of expert robotic colorectal surgeons from Europe. We consider the metrics essential for the development of a structured training curriculum and standardized procedural assessment for RA‐LAR.
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spelling pubmed-78182312021-01-29 European expert consensus on a structured approach to training robotic‐assisted low anterior resection using performance metrics Tou, S. Gómez Ruiz, M. Gallagher, A. G. Matzel, K. E. Colorectal Dis Original Articles AIM: The aim was to develop and operationally define ‘performance metrics’ that characterize a reference approach to robotic‐assisted low anterior resection (RA‐LAR) and to obtain face and content validity through a consensus meeting. METHOD: Three senior colorectal surgeons with robotic experience and a senior behavioural scientist formed the Metrics Group. We used published guidelines, training materials, manufacturers’ instructions and unedited videos of RA‐LAR to deconstruct the operation into defined, measurable components – performance metrics (i.e. procedure phases, steps, errors and critical errors). The performance metrics were then subjected to detailed critique by 18 expert colorectal surgeons in a modified Delphi process. RESULTS: Performance metrics for RA‐LAR had 15 procedure phases, 128 steps, 89 errors and 117 critical errors in women, 88 errors and 118 critical errors in men. After the modified Delphi process the final performance metrics consisted of 14 procedure phases, 129 steps, 88 errors and 115 critical errors in women, 87 errors and 116 critical errors in men. After discussion by the Delphi panel, all procedure phases received unanimous consensus apart from phase I (patient positioning and preparation, 83%) and phase IV (docking, 94%). CONCLUSION: A robotic rectal operation can be broken down into procedure phases, steps, with errors and critical errors, known as performance metrics. The face and content of these metrics have been validated by a large group of expert robotic colorectal surgeons from Europe. We consider the metrics essential for the development of a structured training curriculum and standardized procedural assessment for RA‐LAR. John Wiley and Sons Inc. 2020-08-17 2020-12 /pmc/articles/PMC7818231/ /pubmed/32663361 http://dx.doi.org/10.1111/codi.15269 Text en © 2020 The Authors. Colorectal Disease published by John Wiley & Sons Ltd on behalf of Association of Coloproctology of Great Britain and Ireland This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.
spellingShingle Original Articles
Tou, S.
Gómez Ruiz, M.
Gallagher, A. G.
Matzel, K. E.
European expert consensus on a structured approach to training robotic‐assisted low anterior resection using performance metrics
title European expert consensus on a structured approach to training robotic‐assisted low anterior resection using performance metrics
title_full European expert consensus on a structured approach to training robotic‐assisted low anterior resection using performance metrics
title_fullStr European expert consensus on a structured approach to training robotic‐assisted low anterior resection using performance metrics
title_full_unstemmed European expert consensus on a structured approach to training robotic‐assisted low anterior resection using performance metrics
title_short European expert consensus on a structured approach to training robotic‐assisted low anterior resection using performance metrics
title_sort european expert consensus on a structured approach to training robotic‐assisted low anterior resection using performance metrics
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7818231/
https://www.ncbi.nlm.nih.gov/pubmed/32663361
http://dx.doi.org/10.1111/codi.15269
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