Literature DB >> 35767099

Learning curve analysis of multiport robot-assisted hysterectomy.

Yeon Jee Lee1, Dong-Eun Lee2, Hye Rim Oh3, Hyeong In Ha4, Myong Cheol Lim5,6,7,8.   

Abstract

PURPOSE: The purpose of this study was to evaluate the surgical outcomes and learning curve of multiport robot-assisted hysterectomy.
METHODS: Eighty-eight patients were identified who underwent multiport robot-assisted surgery for hysterectomy. A retrospective analysis was performed. The cumulative summation technique (CUSUM) was used to investigate the learning curve in surgical proficiency by analyzing total operative, docking, and console times.
RESULTS: The patients' median age was 51 years. In addition, the median operative time was 120.5 min (range 56-344 min). The most common indication for surgery was myoma (33.0%). The median estimated blood loss was 30 mL (range 5-200 mL). There was no conversion to laparoscopic or open surgery. No transfusion was required, and only one complication including umbilical incisional hernia was reported. A tendency of decline in total operative time following the first 23 cases was found. The CUSUM graph for total operative time indicated the generation of three distinct performance phases: learning (n = 23), competence (n = 36), and mastery (n = 29). The median docking time was 3 min (range 1-10 min) and median console time was 70 min (range 24-298 min).
CONCLUSION: The multiport robot-assisted surgery is an easy and safe procedure with minimal postoperative complications and can be quickly learned. The learning curve was 23 cases to significantly decrease the operative time.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  CUSUM graph; Learning curve; Multiport robot-assisted hysterectomy

Mesh:

Year:  2022        PMID: 35767099     DOI: 10.1007/s00404-022-06655-5

Source DB:  PubMed          Journal:  Arch Gynecol Obstet        ISSN: 0932-0067            Impact factor:   2.493


  2 in total

1.  The first 100 da Vinci hysterectomies: an analysis of the learning curve for a single surgeon.

Authors:  Maria C Bell; Jenny L Torgerson; Usha Kreaden
Journal:  S D Med       Date:  2009-03

2.  Long-term satisfaction of patients after laparoscopic and robotic-assisted hysterectomy.

Authors:  Georgios Gitas; I Alkatout; L Proppe; L Hanker; L Allahqoli; G Grimbizis; A Rody; N Werner; S Sommer; S Baum
Journal:  Arch Gynecol Obstet       Date:  2021-12-26       Impact factor: 2.493

  2 in total

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