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Factors affecting the learning curve in robotic colorectal surgery
Learning related to robotic colorectal surgery can be measured by surgical process (such as time or adequacy of resection) or patient outcome (such as morbidity or quality of life). Time based metrics are the most commonly used variables to assess the learning curve because of ease of analysis. With...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer London
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606100/ https://www.ncbi.nlm.nih.gov/pubmed/35106738 http://dx.doi.org/10.1007/s11701-022-01373-1 |
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author | Wong, Shing Wai Crowe, Philip |
author_facet | Wong, Shing Wai Crowe, Philip |
author_sort | Wong, Shing Wai |
collection | PubMed |
description | Learning related to robotic colorectal surgery can be measured by surgical process (such as time or adequacy of resection) or patient outcome (such as morbidity or quality of life). Time based metrics are the most commonly used variables to assess the learning curve because of ease of analysis. With analysis of the learning curve, there are factors which need to be considered because they may have a direct impact on operative times or may be surrogate markers of clinical effectiveness (unrelated to times). Variables which may impact on operation time include surgery case mix, hybrid technique, laparoscopic and open colorectal surgery experience, robotic surgical simulator training, technology, operating room team, and case complexity. Multidimensional analysis can address multiple indicators of surgical performance and include variables such as conversion rate, complications, oncological outcome and functional outcome. Analysis of patient outcome and/or global assessment of robotic skills may be the most reliable methods to assess the learning curve. |
format | Online Article Text |
id | pubmed-9606100 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer London |
record_format | MEDLINE/PubMed |
spelling | pubmed-96061002022-10-28 Factors affecting the learning curve in robotic colorectal surgery Wong, Shing Wai Crowe, Philip J Robot Surg Review Article Learning related to robotic colorectal surgery can be measured by surgical process (such as time or adequacy of resection) or patient outcome (such as morbidity or quality of life). Time based metrics are the most commonly used variables to assess the learning curve because of ease of analysis. With analysis of the learning curve, there are factors which need to be considered because they may have a direct impact on operative times or may be surrogate markers of clinical effectiveness (unrelated to times). Variables which may impact on operation time include surgery case mix, hybrid technique, laparoscopic and open colorectal surgery experience, robotic surgical simulator training, technology, operating room team, and case complexity. Multidimensional analysis can address multiple indicators of surgical performance and include variables such as conversion rate, complications, oncological outcome and functional outcome. Analysis of patient outcome and/or global assessment of robotic skills may be the most reliable methods to assess the learning curve. Springer London 2022-02-01 2022 /pmc/articles/PMC9606100/ /pubmed/35106738 http://dx.doi.org/10.1007/s11701-022-01373-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Review Article Wong, Shing Wai Crowe, Philip Factors affecting the learning curve in robotic colorectal surgery |
title | Factors affecting the learning curve in robotic colorectal surgery |
title_full | Factors affecting the learning curve in robotic colorectal surgery |
title_fullStr | Factors affecting the learning curve in robotic colorectal surgery |
title_full_unstemmed | Factors affecting the learning curve in robotic colorectal surgery |
title_short | Factors affecting the learning curve in robotic colorectal surgery |
title_sort | factors affecting the learning curve in robotic colorectal surgery |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9606100/ https://www.ncbi.nlm.nih.gov/pubmed/35106738 http://dx.doi.org/10.1007/s11701-022-01373-1 |
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