Literature DB >> 22992861

Learning and retaining simulated arthroscopic meniscal repair skills.

W F M Jackson1, T Khan, A Alvand, S Al-Ali, H S Gill, A J Price, J L Rees.   

Abstract

BACKGROUND: Previous studies of task-specific skills have suggested that a loss of technical performance occurs if the skill is not practiced for a six-month period. The aims of this study were to objectively demonstrate the learning curve for a complex arthroscopic task (meniscal repair) by means of motion analysis and to determine the impact of task repetition on the retention of this skill.
METHODS: Nineteen orthopaedic residents with experience in routine knee arthroscopy but not in arthroscopic meniscal repair were recruited into a randomized study. During the initial learning phase, all subjects performed twelve meniscal repairs on a knee simulator over a three-week period. A validated motion analysis tracking system was used to objectively record the performance and learning of each subject; the outcomes were the time taken, distance traveled, and number of hand movements. The subjects were then randomized into three groups. Group A performed one meniscal repair each month, Group B performed one meniscal repair at three months, and Group C performed no repairs during this interim phase. All three groups then returned at the six-month point for the final assessment phase, during which they carried out an additional twelve meniscal repairs over three weeks.
RESULTS: All subjects demonstrated a clear learning curve during the initial learning phase, with significant objective improvement in all motion analysis parameters over the initial twelve episodes (p < 0.0001). Although some residents had reached a learning plateau by twelve episodes, others continued to make further improvements for up to another nine episodes. Importantly, Group C did not display any loss of skill between the initial learning phase and final evaluation phase despite a six-month break in task repetition (p > 0.05).
CONCLUSIONS: In contrast to previous studies, residents did not lose any skill over a six-month interruption in task performance, and other residents took longer to produce a more consistent performance.

Entities:  

Mesh:

Year:  2012        PMID: 22992861     DOI: 10.2106/JBJS.K.01438

Source DB:  PubMed          Journal:  J Bone Joint Surg Am        ISSN: 0021-9355            Impact factor:   5.284


  21 in total

1.  Newly acquired arthroscopic skills: Are they transferable during simulator training of other joints?

Authors:  Jamie Ferguson; Robert Middleton; Abtin Alvand; Jonathan Rees
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2.  Can an Augmented Reality Headset Improve Accuracy of Acetabular Cup Orientation in Simulated THA? A Randomized Trial.

Authors:  Kartik Logishetty; Luke Western; Ruairidh Morgan; Farhad Iranpour; Justin P Cobb; Edouard Auvinet
Journal:  Clin Orthop Relat Res       Date:  2019-05       Impact factor: 4.176

3.  The role of simulation in developing surgical skills.

Authors:  K S N Akhtar; Alvin Chen; N J Standfield; C M Gupte
Journal:  Curr Rev Musculoskelet Med       Date:  2014-06

4.  Simulation in shoulder surgery.

Authors:  Henry B Colaço; Duncan Tennent
Journal:  Shoulder Elbow       Date:  2016-09-09

5.  Shoulder arthroscopy simulator training improves shoulder arthroscopy performance in a cadaveric model.

Authors:  R Frank Henn; Neel Shah; Jon J P Warner; Andreas H Gomoll
Journal:  Arthroscopy       Date:  2013-04-13       Impact factor: 4.772

6.  Decision Making and the IACUC: Part 1- Protocol Information Discussed at Full-Committee Reviews.

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Journal:  J Am Assoc Lab Anim Sci       Date:  2015-07       Impact factor: 1.232

7.  Surgical Simulation Maximizing the Use of Fresh-Frozen Cadaveric Specimens: Examination of Tissue Integrity Using Ultrasound.

Authors:  Courtney D Bell; Joseph G O'Sullivan; Tamara E Ostervoss; William E Cameron; Ryan C Petering; Jacqueline M Brady
Journal:  J Grad Med Educ       Date:  2020-06

8.  Use of Hand-motion Analysis to Assess Competence and Skill Decay for Cardiac and Lung Point-of-care Ultrasound.

Authors:  Daniel J Ackil; Amanda Toney; Ryan Good; David Ross; Rocco Germano; Linda Sabbadini; Molly Thiessen; Colin Bell; John L Kendall
Journal:  AEM Educ Train       Date:  2020-12-15

9.  Module-Based Arthroscopic Knee Simulator Training Improves Technical Skills in Naive Learners: A Randomized Trial.

Authors:  Alisha Beaudoin; Samuel Larrivée; Sheila McRae; Jeff Leiter; Gregory Stranges
Journal:  Arthrosc Sports Med Rehabil       Date:  2021-05-14

10.  Arthroscopic proficiency: methods in evaluating competency.

Authors:  Justin L Hodgins; Christian Veillette
Journal:  BMC Med Educ       Date:  2013-05-01       Impact factor: 2.463

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