Simulation-based assessment of pediatric anesthesia skills.
BACKGROUND
Assessment of pediatric anesthesia trainees is complicated by the random nature of adverse patient events and the vagaries of clinical exposure. However, assessment is critical to improve patient safety. In previous studies, a multiple scenario assessment provided reliable and valid measures of the abilities of anesthesia residents. The purpose of this study was to develop a set of relevant simulated pediatric perioperative scenarios and to determine their effectiveness in the assessment of anesthesia residents and pediatric anesthesia fellows.


METHODS
Ten simulation scenarios were designed to reflect situations encountered in perioperative pediatric anesthesia care. Anesthesiology residents and fellows consented to participate and were debriefed after each scenario. Two pediatric anesthesiologists scored each scenario by key action checklist. The psychometric properties (reliability, validity) of the scores were studied.


RESULTS
Thirty-five anesthesiology residents and pediatric anesthesia fellows participated. The participants with greater experience administering pediatric anesthetics generally outperformed those with less experience. Score variance attributable to raters was low, yielding a high interrater reliability.


CONCLUSIONS
A multiple-scenario, simulation-based assessment of pediatric perioperative care was designed and administered to residents and fellows. The scores obtained from the assessment indicated the content was relevant and that raters could reliably score the scenarios. Participants with more training achieved higher scores, but there was a wide range of ability among subjects. This method has the potential to contribute to pediatric anesthesia performance assessment, but additional measures of validity including correlations with more direct measures of clinical performance are needed to establish the utility of this approach.
Division of Pediatric Anesthesiology, Department of Anesthesiology, Washington University School of Medicine, St. Louis, Missouri, USA. fehrj@anest.wustl.edu
James J
JJ
Fehr
John R
JR
Boulet
William B
WB
Waldrop
Rebecca
R
Snider
Megan
M
Brockel
David J
DJ
Murray
D000328:Adult; D000704:Analysis of Variance; D000776:Anesthesiology / Q000193:education* / Q000592:standards; D002983:Clinical Competence; D003198:Computer Simulation; D005260:Female; D006801:Humans; D007396:Internship and Residency; D008297:Male; D010372:Pediatrics / Q000193:education* / Q000592:standards; D011594:Psychometrics; D015203:Reproducibility of Results