Literature DB >> 10384070

Rocker handle for endoscopic needle drivers. Technical and ergonomic evaluation by infrared motion analysis system.

T A Emam1, T G Frank, G B Hanna, G Stockham, A Cuschieri.   

Abstract

BACKGROUND: The design of the handle on instruments for endoscopic surgery determines comfort and efficiency of use by the surgeon. This applies particularly to needle drivers.
METHODS: A novel rocker handle was designed to provide holding comfort and intuitive function. This rocker handle was compared with a finger-loop handle in a study involving 10 surgeons who tied a total of 360 intracorporeal surgeons' knots in a random sequence. The end points in this study were the execution time, knot quality, and motion analysis parameters of the surgeon's elbow and shoulder joints.
RESULTS: Intracorporeal surgeon's knots tied with the rocker-handle driver exhibited a better knot quality, although this was not significant (p = 0.097). A significant improvement in the knot quality score (KQS) was observed between the first and the second sessions (p = 0.045) with the rocker handle, whereas no significant learning effect was observed for the finger-loop handle. During intracorporeal knot tying, the angular velocity at the elbow and shoulder joints was consistently lower with the rocker handle, suggesting that more controlled movements are enacted by the surgeon with this handle. Discomfort from finger-loop pressure on the thumb was reported by 3 of 10 surgeons with the finger-loop handle, whereas no discomfort was reported for the rocker handle.
CONCLUSIONS: The new rocker handle improves the quality of task performance by eliminating discomfort and reducing angular velocities at the shoulder and elbow joints during use.

Mesh:

Year:  1999        PMID: 10384070     DOI: 10.1007/s004649901068

Source DB:  PubMed          Journal:  Surg Endosc        ISSN: 0930-2794            Impact factor:   4.584


  9 in total

1.  Automated high-frequency posture sampling for ergonomic assessment of laparoscopic surgery.

Authors:  J G Person; A J Hodgson; A G Nagy
Journal:  Surg Endosc       Date:  2001-06-12       Impact factor: 4.584

2.  Effect of the angle between the optical axis of the endoscope and the instruments' plane on monitor image and surgical performance.

Authors:  P V Patil; G B Hanna; A Cuschieri
Journal:  Surg Endosc       Date:  2003-11-21       Impact factor: 4.584

3.  Comparison of two actuation systems for laparoscopic surgical manipulators using motion analysis.

Authors:  Yogesh Vinod Kolwadkar; Stuart I Brown; Rami J Abboud; Weijie Wang
Journal:  Surg Endosc       Date:  2010-08-24       Impact factor: 4.584

4.  Effect of fixation of shoulder and elbow joint movement on the precision of laparoscopic instrument manipulations.

Authors:  P V Patil; G B Hanna; T G Frank; A Cuschieri
Journal:  Surg Endosc       Date:  2004-11-25       Impact factor: 4.584

5.  Ideal manipulation angle and instrument length in hand-assisted laparoscopic surgery.

Authors:  S Manasnayakorn; A Cuschieri; G B Hanna
Journal:  Surg Endosc       Date:  2007-08-18       Impact factor: 4.584

6.  Objective evidence for optimum knot configuration.

Authors:  Alex C H Lee; Ramy R R Fahmy; George B Hanna
Journal:  World J Surg       Date:  2008-12       Impact factor: 3.352

7.  Ergonomic risk associated with assisting in minimally invasive surgery.

Authors:  Gyusung Lee; Tommy Lee; David Dexter; Carlos Godinez; Nora Meenaghan; Robert Catania; Adrian Park
Journal:  Surg Endosc       Date:  2008-09-25       Impact factor: 4.584

8.  Ergonomics of disposable handles for minimally invasive surgery.

Authors:  D Büchel; R Mårvik; B Hallabrin; U Matern
Journal:  Surg Endosc       Date:  2009-10-29       Impact factor: 4.584

9.  Objective ergonomic risk assessment of wrist and spine with motion analysis technique during simulated laparoscopic cholecystectomy in experienced and novice surgeons.

Authors:  Twinkle Yogesh Dabholkar; Sujata Sudhir Yardi; Sanjay Narahari Oak; Sneha Ramchandani
Journal:  J Minim Access Surg       Date:  2017 Apr-Jun       Impact factor: 1.407

  9 in total

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