Literature DB >> 23141423

Analysis of robotic performance times to improve operative efficiency.

Elizabeth J Geller1, Feng-Chang Lin, Catherine A Matthews.   

Abstract

STUDY
OBJECTIVE: To estimate the efficiency of procedural steps in robotic sacrocolpopexy and concomitant hysterectomy.
DESIGN: Retrospective study (Canadian Task Force classification II-2).
SETTING: University hospital. PATIENTS: One hundred forty-seven patients who underwent robotic-assisted procedures from November 2007 through December 2010.
INTERVENTIONS: Robotic-assisted sacrocolpopexy. Sixty patients (40.8%) underwent concomitant hysterectomy; 37 (25.2%), mid-urethral sling placement; and 7 (4.8%), concomitant colporrhaphy.
MEASUREMENTS AND MAIN RESULTS: Comparison of the first 20 procedures with the subsequent 127 demonstrated that there was considerable improvement in time of cuff closure (p = .04); sacral dissection (p = .004); anterior (p = .006), posterior, (p = .003), and sacral (p = .003) mesh attachment; peritoneal closure (p < .001); total docked time (p = .02); and total incision time (p < .001).
CONCLUSION: Robotic efficiency improves over a short learning period, with greatest differences in intracorporeal suturing and overall times. Identifying these steps may aid surgeons and learners in improving overall efficiency and establishing benchmarks for performance.
Copyright © 2013 AAGL. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2012        PMID: 23141423     DOI: 10.1016/j.jmig.2012.08.774

Source DB:  PubMed          Journal:  J Minim Invasive Gynecol        ISSN: 1553-4650            Impact factor:   4.137


  12 in total

1.  Assessing the learning curve of robotic sacrocolpopexy.

Authors:  Brian J Linder; Mallika Anand; Amy L Weaver; Joshua L Woelk; Christopher J Klingele; Emanuel C Trabuco; John A Occhino; John B Gebhart
Journal:  Int Urogynecol J       Date:  2015-08-21       Impact factor: 2.894

Review 2.  Robotic pelvic organ prolapse surgery.

Authors:  Kamran P Sajadi; Howard B Goldman
Journal:  Nat Rev Urol       Date:  2015-03-24       Impact factor: 14.432

3.  Laparoscopic sacrocolpopexy: operative times and efficiency in a high-volume female pelvic medicine and laparoscopic surgery practice.

Authors:  Robert Moore; Christopher Moriarty; Orawee Chinthakanan; John Miklos
Journal:  Int Urogynecol J       Date:  2016-10-20       Impact factor: 2.894

4.  A systematic review of the learning curve in robotic surgery: range and heterogeneity.

Authors:  I Kassite; T Bejan-Angoulvant; H Lardy; A Binet
Journal:  Surg Endosc       Date:  2018-09-28       Impact factor: 4.584

5.  The challenge of implementing laparoscopic sacrocolpopexy.

Authors:  Jan Deprest; Ladislav Krofta; Frank Van der Aa; Alfredo L Milani; Jan Den Boon; Filip Claerhout; Jan-Paul Roovers
Journal:  Int Urogynecol J       Date:  2014-05-21       Impact factor: 2.894

Review 6.  The current state and the future of robotic surgery in female pelvic medicine and reconstructive surgery.

Authors:  Rachael D Sussman; Benoit Peyronnet; Benjamin M Brucker
Journal:  Turk J Urol       Date:  2019-09-01

7.  Pedagogic Approach in the Surgical Learning: The First Period of "Assistant Surgeon" May Improve the Learning Curve for Laparoscopic Robotic-Assisted Hysterectomy.

Authors:  Angeline Favre; Stephanie Huberlant; Marie Carbonnel; Julie Goetgheluck; Aurelie Revaux; Jean Marc Ayoubi
Journal:  Front Surg       Date:  2016-11-02

Review 8.  Robotic-assisted repair of pelvic organ prolapse: a scoping review of the literature.

Authors:  Jeffrey S Schachar; Catherine A Matthews
Journal:  Transl Androl Urol       Date:  2020-04

Review 9.  Clinical challenges in the management of vaginal prolapse.

Authors:  Nazema Y Siddiqui; Autumn L Edenfield
Journal:  Int J Womens Health       Date:  2014-01-16

10.  Robotic sacrocolpopexy.

Authors:  Teresa L Danforth; Monish Aron; David A Ginsberg
Journal:  Indian J Urol       Date:  2014-07
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.