Simulation performance checklist generation using the Delphi technique.
OBJECTIVE
Performance assessment using high fidelity simulation is problematic, due to the difficulty in developing valid and reliable evaluation tools. The Delphi technique is a consensus based content generation method used for multiple purposes such as policy development, best-evidence practice guidelines and competency assessments. The purpose of this study was to develop checklists using a modified Delphi technique to evaluate the performance of practicing anesthesiologists managing two simulated scenarios.


METHODS
The templates for two simulation scenarios were emailed to five anesthesiologists who were asked to generate performance items. Data were collated anonymously and returned. An a priori decision was made to delete items endorsed by </= 20% of participants. This process of collection, collation and re-evaluation was repeated until consensus was reached. Four independent raters used the checklist to assess three subjects managing the two simulation scenarios. Interrater reliability was assessed using average measures intraclass correlation (ICC) and repeated measures analysis of variance (ANOVA) was used to assess differences in difficulty between scenarios.


RESULTS
The final checklists included 131 items for scenario 1 and 126 items for scenario 2. The mean inter-rater reliability was 0.921 for scenario 1 and 0.903 for scenario 2. Repeated measures ANOVA revealed no statistically significant difference in difficulty between scenarios.


CONCLUSIONS
The Delphi technique can be very useful to generate consensus based evaluation tools with high content and face validity compared to subjective evaluative tools. Since there was no difference in scenario difficulty, these scenarios can be used to determine the effect of educational interventions on performance.
Department of Anesthesia, Women's College Hospital, University of Toronto, Toronto, Ontario, Canada. pam.morgan@utoronto.ca
Pamela J
PJ
Morgan
Jenny
J
Lam-McCulloch
Jodi
J
Herold-McIlroy
Jordan
J
Tarshis
D000465:Algorithms; D000776:Anesthesiology / Q000592:standards*; D002983:Clinical Competence; D003697:Delphi Technique; D006801:Humans; D015203:Reproducibility of Results