A Taxonomy of Delivery and Documentation Deviations During Delivery of High-Fidelity Simulations.
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.
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