Literature DB >> 34113427

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

Francesco Luceri1, Paolo Arrigoni2,3, Raul Barco4, Davide Cucchi3,5, Nishant Raj6, Samuele Frassoni7, Pietro Simone Randelli2,3.   

Abstract

INTRODUCTION: The use of elbow arthroscopy is becoming increasingly common in orthopaedic practice; nevertheless, it is still considered a difficult procedure with a long learning curve. The aim of the study is to evaluate the role of a new elbow Sawbone-Based Arthroscopy Module (e-SBAM) in the training of elbow surgeons.
METHODS: Fourteen surgeons were classified as "Expert" (n: 7; more than 10 years of experience in arthroscopic surgery) and "Not-expert" surgeons (n: 7; less than 10 years of experience). During a dedicated arthroscopic session, using the Sawbones Elbow model (Sawbones Europe AB®), all participants were asked to perform an arthroscopic round and to touch three specific landmarks. An independent observer measured the time that each participant needed to perform this task (Performance 1). The same measurement was repeated after two weeks of eSBAM training (Performance 2).
RESULTS: "Not-expert" surgeons needed significantly more time (41 s; range 26-120) than "Expert" ones (13 s; range 8-36) to complete Performance 1. One "Not-expert" surgeon did not complete Performance 1 and needed more than 120 s for Performance 2. The whole study group required a median of 5 s less to complete Performance 2. A tendency towards an improvement was observed in the group of the non-experienced surgeons as compared with the experienced ones.
CONCLUSIONS: The simulation training can be advantageous in the learning curve of young elbow surgeons and helpful for experienced surgeons. E-SBAM can be used as an effective tool for the current stepwise arthroscopic elbow training programs with the aim of improving arthroscopic elbow skills. LEVEL OF EVIDENCE: Basic Science Study. © Indian Orthopaedics Association 2020.

Entities:  

Keywords:  Arthroscopy; Dry model; Elbow; Sawbone-based arthroscopy module; Surgeon training

Year:  2020        PMID: 34113427      PMCID: PMC8149533          DOI: 10.1007/s43465-020-00133-3

Source DB:  PubMed          Journal:  Indian J Orthop        ISSN: 0019-5413            Impact factor:   1.251


  33 in total

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Authors:  C L Baker; G L Jones
Journal:  Am J Sports Med       Date:  1999 Mar-Apr       Impact factor: 6.202

2.  Evidence-based surgical training in orthopaedics: how many arthroscopies of the knee are needed to achieve consultant level performance?

Authors:  A J Price; G Erturan; K Akhtar; A Judge; A Alvand; J L Rees
Journal:  Bone Joint J       Date:  2015-10       Impact factor: 5.082

3.  Improving Resident Performance in Knee Arthroscopy: A Prospective Value Assessment of Simulators and Cadaveric Skills Laboratories.

Authors:  Christopher L Camp; Aaron J Krych; Michael J Stuart; Terry D Regnier; Karen M Mills; Norman S Turner
Journal:  J Bone Joint Surg Am       Date:  2016-02-03       Impact factor: 5.284

4.  A randomized evaluation of simulation training on performance of vascular anastomosis on a high-fidelity in vivo model: the role of deliberate practice.

Authors:  Joel Price; Viren Naik; Munir Boodhwani; Tim Brandys; Paul Hendry; Buu-Khanh Lam
Journal:  J Thorac Cardiovasc Surg       Date:  2011-07-13       Impact factor: 5.209

5.  Objective structured assessment of technical skill (OSATS) for surgical residents.

Authors:  J A Martin; G Regehr; R Reznick; H MacRae; J Murnaghan; C Hutchison; M Brown
Journal:  Br J Surg       Date:  1997-02       Impact factor: 6.939

6.  Do the skills acquired by novice surgeons using anatomic dry models transfer effectively to the task of diagnostic knee arthroscopy performed on cadaveric specimens?

Authors:  Aaron Butler; Tyson Olson; Ryan Koehler; Gregg Nicandri
Journal:  J Bone Joint Surg Am       Date:  2013-02-06       Impact factor: 5.284

7.  Simulated hip arthroscopy skills: learning curves with the lateral and supine patient positions: a randomized trial.

Authors:  Thomas C B Pollard; Tanvir Khan; Andrew J Price; Harinderjit S Gill; Sion Glyn-Jones; Jonathan L Rees
Journal:  J Bone Joint Surg Am       Date:  2012-05-16       Impact factor: 5.284

8.  The posttraumatic stiff elbow.

Authors:  Bernard F Morrey
Journal:  Clin Orthop Relat Res       Date:  2005-02       Impact factor: 4.176

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

Authors:  Tim Dwyer; Rachel Schachar; Tim Leroux; Massimo Petrera; Jeffrey Cheung; Rachel Greben; Patrick Henry; Darrell Ogilvie-Harris; John Theodoropoulos; Jaskarndip Chahal
Journal:  Arthroscopy       Date:  2017-03-25       Impact factor: 4.772

10.  A comparison of orthopaedic resident performance on surgical fixation of an ulnar fracture using virtual reality and synthetic models.

Authors:  Justin LeBlanc; Carol Hutchison; Yaoping Hu; Tyrone Donnon
Journal:  J Bone Joint Surg Am       Date:  2013-05-01       Impact factor: 5.284

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  2 in total

1.  Novel Radiographic Indexes for Elbow Stability Assessment: Part B-Preliminary Clinical Study.

Authors:  Francesco Luceri; Davide Cucchi; Paolo Angelo Arrigoni; Pietro Simone Randelli; Enrico Rosagrata; Carlo Eugenio Zaolino; Alessandra Menon; Mattia Radici; Andrea Zagarella; Michele Catapano; Mauro Battista Gallazzi
Journal:  Indian J Orthop       Date:  2021-04-28       Impact factor: 1.251

2.  Novel Radiographic Indexes for Elbow Stability Assessment: Part A-Cadaveric Validation.

Authors:  Francesco Luceri; Davide Cucchi; Paolo Angelo Arrigoni; Pietro Simone Randelli; Enrico Rosagrata; Carlo Eugenio Zaolino; Marco Viganò; Laura de Girolamo; Andrea Zagarella; Michele Catapano; Mauro Battista Gallazzi
Journal:  Indian J Orthop       Date:  2021-05-09       Impact factor: 1.251

  2 in total

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