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A Taxonomy of Delivery and Documentation Deviations During Delivery of High-Fidelity Simulations.
McIvor, William R; Banerjee, Arna; Boulet, John R; Bekhuis, Tanja; Tseytlin, Eugene; Torsher, Laurence; DeMaria, Samuel; Rask, John P; Shotwell, Matthew S; Burden, Amanda; Cooper, Jeffrey B; Gaba, David M; Levine, Adam; Park, Christine; Sinz, Elizabeth; Steadman, Randolph H; Weinger, Matthew B.
Afiliación
  • McIvor WR; From the Department of Anesthesiology, University of Pittsburgh Medical Center and the Winter Institute for Simulation Education and Research (WISER), Pittsburgh, PA (W.R.M.); The Division of Anesthesiology Critical Care Medicine, Department of Anesthesiology, Vanderbilt University School of Medicine, Nashville, TN (A.B.); Research and Data Resources, Foundation for Advancement of International Medical Education and Research, Philadelphia, PA (J.R.B.); Department of Biomedical Informatics, Unive
Simul Healthc ; 12(1): 1-8, 2017 Feb.
Article en En | MEDLINE | ID: mdl-28146449
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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Simulación de Paciente / Documentación Tipo de estudio: Clinical_trials / Prognostic_studies Aspecto: Implementation_research Límite: Humans Idioma: En Revista: Simul Healthc Asunto de la revista: PESQUISA EM SERVICOS DE SAUDE Año: 2017 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Simulación de Paciente / Documentación Tipo de estudio: Clinical_trials / Prognostic_studies Aspecto: Implementation_research Límite: Humans Idioma: En Revista: Simul Healthc Asunto de la revista: PESQUISA EM SERVICOS DE SAUDE Año: 2017 Tipo del documento: Article