Literature DB >> 29730215

Inter-rater Reliability for Metrics Scored in a Binary Fashion-Performance Assessment for an Arthroscopic Bankart Repair.

Anthony G Gallagher1, Richard K N Ryu2, Robert A Pedowitz3, Patrick Henn4, Richard L Angelo5.   

Abstract

PURPOSE: To determine the inter-rater reliability (IRR) of a procedure-specific checklist scored in a binary fashion for the evaluation of surgical skill and whether it meets a minimum level of agreement (≥0.8 between 2 raters) required for high-stakes assessment.
METHODS: In a prospective randomized and blinded fashion, and after detailed assessment training, 10 Arthroscopy Association of North America Master/Associate Master faculty arthroscopic surgeons (in 5 pairs) with an average of 21 years of surgical experience assessed the video-recorded 3-anchor arthroscopic Bankart repair performance of 44 postgraduate year 4 or 5 residents from 21 Accreditation Council for Graduate Medical Education orthopaedic residency training programs from across the United States.
RESULTS: No paired scores of resident surgeon performance evaluated by the 5 teams of faculty assessors dropped below the 0.8 IRR level (mean = 0.93; range 0.84-0.99; standard deviation = 0.035). A comparison between the 5 assessor groups with 1 factor analysis of variance showed that there was no significant difference between the groups (P = .205). Pearson's product-moment correlation coefficient revealed a strong and statistically significant negative correlation, that is, -0.856 (P < .000), indicating that as intra-operative error rate scores increased, the IRR decreased.
CONCLUSIONS: Arthroscopy Association of North America shoulder faculty raters from across the United States showed high levels of IRR in the assessment of an arthroscopic 3-anchor Bankart repair procedure. All paired assessments were above the 0.8 level and the mean IRR of all resident assessments was 0.93, indicating that they could be used for high-stakes decisions. CLINICAL RELEVANCE: With the move toward outcomes-based performance evaluation for graduate medical education, high-stakes assessments of surgical skill will require robust, reliable measurement tools that are able to withstand challenge. Surgical checklists employing metrics scored in a binary fashion meet the need and can show a high (>80%) IRR.
Copyright © 2018 Arthroscopy Association of North America. Published by Elsevier Inc. All rights reserved.

Mesh:

Year:  2018        PMID: 29730215     DOI: 10.1016/j.arthro.2018.02.007

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


  5 in total

1.  Intraoperative robotic-assisted low anterior rectal resection performance assessment using procedure-specific binary metrics and a global rating scale.

Authors:  Marcos Gómez Ruiz; Samson Tou; Anthony G Gallagher; Carmen Cagigas Fernández; Lidia Cristobal Poch; Klaus E Matzel
Journal:  BJS Open       Date:  2022-05-02

2.  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

3.  Proficiency based progression simulation training significantly reduces utility strikes; A prospective, randomized and blinded study.

Authors:  Anthony G Gallagher; Martin Hart; David Cleary; Craig Hamilton; Kevin McGlinchey; Patrick Kiely; Brendan P Bunting
Journal:  PLoS One       Date:  2020-05-12       Impact factor: 3.240

4.  European expert consensus on a structured approach to training robotic-assisted low anterior resection using performance metrics.

Authors:  S Tou; M Gómez Ruiz; A G Gallagher; K E Matzel
Journal:  Colorectal Dis       Date:  2020-08-17       Impact factor: 3.917

5.  Objective assessment of intraoperative skills for robot-assisted radical prostatectomy (RARP): results from the ERUS Scientific and Educational Working Groups Metrics Initiative.

Authors:  Alexandre Mottrie; Elio Mazzone; Peter Wiklund; Markus Graefen; Justin W Collins; Ruben De Groote; Paolo Dell'Oglio; Stefano Puliatti; Anthony G Gallagher
Journal:  BJU Int       Date:  2020-12-20       Impact factor: 5.588

  5 in total

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