Literature DB >> 28351553

Performance Assessment of Arthroscopic Rotator Cuff Repair and Labral Repair in a Dry Shoulder Simulator.

Tim Dwyer1, Rachel Schachar2, Tim Leroux2, Massimo Petrera2, Jeffrey Cheung2, Rachel Greben2, Patrick Henry2, Darrell Ogilvie-Harris3, John Theodoropoulos4, Jaskarndip Chahal3.   

Abstract

PURPOSE: To evaluate the use of dry models to assess performance of arthroscopic rotator cuff repair (RCR) and labral repair (LR).
METHODS: Residents, fellows, and sports medicine staff performed an arthroscopic RCR and LR on a dry model. Any prior RCR and LR experience was noted. Staff surgeons assessed participants by use of task-specific checklists, the Arthroscopic Surgical Skill Evaluation Tool (ASSET), and a final overall global rating. All procedures were video recorded and were scored by a fellow blinded to the year of training of each participant.
RESULTS: A total of 51 participants and 46 participants performed arthroscopic RCR and LR, respectively, on dry models. The internal consistency or reliability (Cronbach α) using the total ASSET score for the RCR and LR was high (>0.9). One-way analysis of variance for the total ASSET score showed a difference between participants based on year of training (P < .001) for both procedures. The inter-rater reliability for the ASSET score was excellent (>0.9) for both procedures. A good correlation was seen between the ASSET score and the year of training, as well as the previous number of sports rotations.
CONCLUSIONS: The results of this study show evidence of construct validity when using dry models to assess performance of arthroscopic RCR and LR by residents. CLINICAL RELEVANCE: The results of this study support the use of arthroscopic simulation in the training of residents and fellows learning arthroscopic shoulder surgery.
Copyright © 2017 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.

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Year:  2017        PMID: 28351553     DOI: 10.1016/j.arthro.2017.01.047

Source DB:  PubMed          Journal:  Arthroscopy        ISSN: 0749-8063            Impact factor:   4.772


  6 in total

1.  Development of a certification examination for orthopedic sports medicine fellows

Authors:  Tim Dwyer; Jaskarndip Chahal; Lucas Murnaghan; John Theodoropoulos; Jeffrey Cheung; Aidan McParland; Darrell Ogilvie-Harris
Journal:  Can J Surg       Date:  2020-03-06       Impact factor: 2.089

2.  The frequency of assessment tools in arthroscopic training: a systematic review.

Authors:  Haixia Zhou; Chengyao Xian; Kai-Jun Zhang; Zhouwen Yang; Wei Li; Jing Tian
Journal:  Ann Med       Date:  2022-12       Impact factor: 5.348

3.  The FAST Workstation Shows Construct Validity and Participant Endorsement.

Authors:  Jonathan A Baxter; Nivraj S Bhamber; Rakesh S Patel; Duncan Tennent
Journal:  Arthrosc Sports Med Rehabil       Date:  2021-06-18

4.  Improvement of arthroscopic surgical performance using a new wide-angle arthroscope in the surgical training.

Authors:  Jae-Man Kwak; Erica Kholinne; Maulik Gandhi; Arnold Adikrishna; Hanpyo Hong; Yucheng Sun; Kyoung-Hwan Koh; In-Ho Jeon
Journal:  PLoS One       Date:  2019-03-11       Impact factor: 3.240

5.  Does Sawbone-Based Arthroscopy Module (SBAM) Can Help Elbow Surgeons?

Authors:  Francesco Luceri; Paolo Arrigoni; Raul Barco; Davide Cucchi; Nishant Raj; Samuele Frassoni; Pietro Simone Randelli
Journal:  Indian J Orthop       Date:  2020-05-15       Impact factor: 1.251

6.  Analysis of Tools Used in Assessing Technical Skills and Operative Competence in Trauma and Orthopaedic Surgical Training: A Systematic Review.

Authors:  Hannah K James; Anna W Chapman; Giles T R Pattison; Joanne D Fisher; Damian R Griffin
Journal:  JBJS Rev       Date:  2020-06
  6 in total

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