TY - JOUR
T1 - A Taxonomy of Delivery and Documentation Deviations during Delivery of High-Fidelity Simulations
AU - McIvor, William R.
AU - Banerjee, Arna
AU - Boulet, John R.
AU - Bekhuis, Tanja
AU - Tseytlin, Eugene
AU - Torsher, Laurence
AU - Demaria, Samuel
AU - Rask, John P.
AU - Shotwell, Matthew S.
AU - Burden, Amanda
AU - Cooper, Jeffrey B.
AU - Gaba, David M.
AU - Levine, Adam
AU - Park, Christine
AU - Sinz, Elizabeth
AU - Steadman, Randolph H.
AU - Weinger, Matthew B.
N1 - Publisher Copyright:
© Lippincott Williams & Wilkins.
PY - 2017/2/1
Y1 - 2017/2/1
N2 - 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.
AB - 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.
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U2 - 10.1097/SIH.0000000000000184
DO - 10.1097/SIH.0000000000000184
M3 - Article
C2 - 28146449
AN - SCOPUS:85012277244
SN - 1559-2332
VL - 12
SP - 1
EP - 8
JO - Simulation in Healthcare
JF - Simulation in Healthcare
IS - 1
ER -