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Surgical learning curves and operative efficiency: a cross-specialty observational study

OBJECTIVES: To evaluate the learning curves of three high-volume procedures, from distinct surgical specialties. SETTING: Tertiary care academic hospital. PARTICIPANTS: A prospectively collected database comprising all medical records of patients undergoing isolated coronary artery bypass grafting (...

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Autores principales: Maruthappu, Mahiben, Duclos, Antoine, Lipsitz, Stuart R, Orgill, Dennis, Carty, Matthew J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4360802/
https://www.ncbi.nlm.nih.gov/pubmed/25770229
http://dx.doi.org/10.1136/bmjopen-2014-006679
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author Maruthappu, Mahiben
Duclos, Antoine
Lipsitz, Stuart R
Orgill, Dennis
Carty, Matthew J
author_facet Maruthappu, Mahiben
Duclos, Antoine
Lipsitz, Stuart R
Orgill, Dennis
Carty, Matthew J
author_sort Maruthappu, Mahiben
collection PubMed
description OBJECTIVES: To evaluate the learning curves of three high-volume procedures, from distinct surgical specialties. SETTING: Tertiary care academic hospital. PARTICIPANTS: A prospectively collected database comprising all medical records of patients undergoing isolated coronary artery bypass grafting (CABG), total knee replacement (TKR) and bilateral reduction mammoplasty (BRM) at the Brigham and Women's Hospital, USA, 1996–2010. Multivariate generalised estimating equation (GEE) regression models were used to adjust for patient risk and clustering of procedures by surgeon. PRIMARY OUTCOME MEASURE: Operative efficiency. RESULTS: A total of 1052 BRMs, 3254 CABGs and 3325 TKRs performed by 30 surgeons were analysed. Median number of procedures per surgeon was 61 (range 11–502), 290 (52–973) and 99 (10–1871) for BRM, CABG and TKR, respectively. Mean operative times were 134.4 (SD 34.5), 180.9 (62.3) and 101.9 (30.3) minutes, respectively. For each procedure, attending surgeon experience was associated with significant reductions in operative time (p<0.05). After 15 years of experience, BRM operative time decreased by 69.8 min (38.3%), CABG operative time decreased by 17.5 min (7.8%) and TKR operative time decreased by 94.4 min (48.4%). CONCLUSIONS: Common trends in surgical learning exist. Dependent on the procedure, experience can serve as a powerful driver of improvement or have clinically insignificant impacts on operative time.
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spelling pubmed-43608022015-03-25 Surgical learning curves and operative efficiency: a cross-specialty observational study Maruthappu, Mahiben Duclos, Antoine Lipsitz, Stuart R Orgill, Dennis Carty, Matthew J BMJ Open Surgery OBJECTIVES: To evaluate the learning curves of three high-volume procedures, from distinct surgical specialties. SETTING: Tertiary care academic hospital. PARTICIPANTS: A prospectively collected database comprising all medical records of patients undergoing isolated coronary artery bypass grafting (CABG), total knee replacement (TKR) and bilateral reduction mammoplasty (BRM) at the Brigham and Women's Hospital, USA, 1996–2010. Multivariate generalised estimating equation (GEE) regression models were used to adjust for patient risk and clustering of procedures by surgeon. PRIMARY OUTCOME MEASURE: Operative efficiency. RESULTS: A total of 1052 BRMs, 3254 CABGs and 3325 TKRs performed by 30 surgeons were analysed. Median number of procedures per surgeon was 61 (range 11–502), 290 (52–973) and 99 (10–1871) for BRM, CABG and TKR, respectively. Mean operative times were 134.4 (SD 34.5), 180.9 (62.3) and 101.9 (30.3) minutes, respectively. For each procedure, attending surgeon experience was associated with significant reductions in operative time (p<0.05). After 15 years of experience, BRM operative time decreased by 69.8 min (38.3%), CABG operative time decreased by 17.5 min (7.8%) and TKR operative time decreased by 94.4 min (48.4%). CONCLUSIONS: Common trends in surgical learning exist. Dependent on the procedure, experience can serve as a powerful driver of improvement or have clinically insignificant impacts on operative time. BMJ Publishing Group 2015-03-13 /pmc/articles/PMC4360802/ /pubmed/25770229 http://dx.doi.org/10.1136/bmjopen-2014-006679 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
spellingShingle Surgery
Maruthappu, Mahiben
Duclos, Antoine
Lipsitz, Stuart R
Orgill, Dennis
Carty, Matthew J
Surgical learning curves and operative efficiency: a cross-specialty observational study
title Surgical learning curves and operative efficiency: a cross-specialty observational study
title_full Surgical learning curves and operative efficiency: a cross-specialty observational study
title_fullStr Surgical learning curves and operative efficiency: a cross-specialty observational study
title_full_unstemmed Surgical learning curves and operative efficiency: a cross-specialty observational study
title_short Surgical learning curves and operative efficiency: a cross-specialty observational study
title_sort surgical learning curves and operative efficiency: a cross-specialty observational study
topic Surgery
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4360802/
https://www.ncbi.nlm.nih.gov/pubmed/25770229
http://dx.doi.org/10.1136/bmjopen-2014-006679
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