Article Text

Surgical learning curves and operative efficiency: a cross-specialty observational study
  1. Mahiben Maruthappu1,
  2. Antoine Duclos1,2,
  3. Stuart R Lipsitz1,
  4. Dennis Orgill1,3,
  5. Matthew J Carty1,3
  1. 1Brigham and Women's Hospital Center for Surgery and Public Health, Boston, Massachusetts, USA
  2. 2Hospices Civils de Lyon, Pôle Information Médicale Evaluation Recherche—Université de Lyon, Lyon, France
  3. 3Division of Plastic Surgery, Brigham and Women's Hospital/Faulkner Hospital, Jamaica Plain, Massachusetts, USA
  1. Correspondence to Dr Mahiben Maruthappu; maruthappu{at}post.harvard.edu

Abstract

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.

  • SURGERY
  • PUBLIC HEALTH
  • MEDICAL EDUCATION & TRAINING

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/

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