Literature DB >> 26738906

Which Global Rating Scale? A Comparison of the ASSET, BAKSSS, and IGARS for the Assessment of Simulated Arthroscopic Skills.

Robert M Middleton1, Mathew J Baldwin2, Kash Akhtar3, Abtin Alvand4, Jonathan L Rees4.   

Abstract

BACKGROUND: With the move to competency-based models of surgical training, a number of assessment methods have been developed. Of these, global rating scales have emerged as popular tools, and several are specific to the assessment of arthroscopic skills. Our aim was to determine which one of a group of commonly used global rating scales demonstrated superiority in the assessment of simulated arthroscopic skills.
METHODS: Sixty-three individuals of varying surgical experience performed a number of arthroscopic tasks on a virtual reality simulator (VirtaMed ArthroS). Performance was blindly assessed by two observers using three commonly used global rating scales used to assess simulated skills. Performance was also assessed by validated objective motion analysis.
RESULTS: All of the global rating scales demonstrated construct validity, with significant differences between each skill level and each arthroscopic task (p < 0.002, Mann-Whitney U test). Interrater reliability was excellent for each global rating scale. Correlations of global rating scale ratings with motion analysis were high and strong for each global rating scale when correlated with time taken (Spearman rho, -0.95 to -0.76; p < 0.001), and correlation with total path length was significant and moderately strong (Spearman rho, -0.94 to -0.64; p < 0.001).
CONCLUSIONS: No single global rating scale demonstrated superiority as an assessment tool. CLINICAL RELEVANCE: For these commonly used arthroscopic global rating scales, none was particularly superior and any one score could therefore be used. Agreement on using a single score seems sensible, and it would seem unnecessary to develop further scales with the same domains for these purposes.
Copyright © 2016 by The Journal of Bone and Joint Surgery, Incorporated.

Mesh:

Year:  2016        PMID: 26738906     DOI: 10.2106/JBJS.O.00434

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


  11 in total

1.  Virtual and augmented reality for surgical training and simulation in knee arthroplasty.

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2.  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

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Authors:  S Swaroop Vedula; Masaru Ishii; Gregory D Hager
Journal:  Annu Rev Biomed Eng       Date:  2017-03-27       Impact factor: 9.590

4.  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

5.  Is the Virtual Reality Fundamentals of Arthroscopic Surgery Training Program a Valid Platform for Resident Arthroscopy Training?

Authors:  Kalpesh R Vaghela; Amaury Trockels; Joshua Lee; Kash Akhtar
Journal:  Clin Orthop Relat Res       Date:  2022-04-01       Impact factor: 4.755

6.  Shoulder Arthroscopy Simulator Training Improves Surgical Procedure Performance: A Controlled Laboratory Study.

Authors:  Jordan Hauschild; Jessica C Rivera; Anthony E Johnson; Travis C Burns; Christopher J Roach
Journal:  Orthop J Sports Med       Date:  2021-05-10

7.  Postgraduate Training in Joint Surgery: The Role of Scientific Societies.

Authors:  Giuseppe Milano
Journal:  Joints       Date:  2017-12-18

8.  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

9.  Efficacy of a Virtual Arthroscopic Simulator for Orthopaedic Surgery Residents by Year in Training.

Authors:  Shahram S Yari; Chanakya K Jandhyala; Behnam Sharareh; Aravind Athiviraham; Theodore B Shybut
Journal:  Orthop J Sports Med       Date:  2018-11-21

10.  The Dimensionless Squared Jerk: An Objective Parameter That Improves Assessment of Hand Motion Analysis during Simulated Shoulder Arthroscopy.

Authors:  Erica Kholinne; Maulik J Gandhi; Arnold Adikrishna; Hanpyo Hong; Haewon Kim; Jaesung Hong; In-Ho Jeon
Journal:  Biomed Res Int       Date:  2018-07-11       Impact factor: 3.411

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