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A Taxonomy of Delivery and Documentation Deviations during Delivery of High-Fidelity Simulations

  • William R. McIvor
  • , Arna Banerjee
  • , John R. Boulet
  • , Tanja Bekhuis
  • , Eugene Tseytlin
  • , Laurence Torsher
  • , Samuel Demaria
  • , John P. Rask
  • , Matthew S. Shotwell
  • , Amanda Burden
  • , Jeffrey B. Cooper
  • , David M. Gaba
  • , Adam Levine
  • , Christine Park
  • , Elizabeth Sinz
  • , Randolph H. Steadman
  • , Matthew B. Weinger

Research output: Contribution to journalArticlepeer-review

Abstract

Introduction We developed a taxonomy of simulation delivery and documentation deviations noted during a multicenter, high-fidelity simulation trial that was conducted to assess practicing physicians' performance. Eight simulation centers sought to implement standardized scenarios over 2 years. Rules, guidelines, and detailed scenario scripts were established to facilitate reproducible scenario delivery; however, pilot trials revealed deviations from those rubrics. A taxonomy with hierarchically arranged terms that define a lack of standardization of simulation scenario delivery was then created to aid educators and researchers in assessing and describing their ability to reproducibly conduct simulations. Methods Thirty-six types of delivery or documentation deviations were identified from the scenario scripts and study rules. Using a Delphi technique and open card sorting, simulation experts formulated a taxonomy of high-fidelity simulation execution and documentation deviations. The taxonomy was iteratively refined and then tested by 2 investigators not involved with its development. Results The taxonomy has 2 main classes, simulation center deviation and participant deviation, which are further subdivided into as many as 6 subclasses. Inter-rater classification agreement using the taxonomy was 74% or greater for each of the 7 levels of its hierarchy. Cohen kappa calculations confirmed substantial agreement beyond that expected by chance. All deviations were classified within the taxonomy. Conclusions This is a useful taxonomy that standardizes terms for simulation delivery and documentation deviations, facilitates quality assurance in scenario delivery, and enables quantification of the impact of deviations upon simulation-based performance assessment.

Original languageEnglish (US)
Pages (from-to)1-8
Number of pages8
JournalSimulation in Healthcare
Volume12
Issue number1
DOIs
StatePublished - Feb 1 2017

All Science Journal Classification (ASJC) codes

  • Epidemiology
  • Medicine (miscellaneous)
  • Education
  • Modeling and Simulation

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