title: Predictors of situation awareness in student registered nurse anesthetists.
abstract: Situation awareness (SA) is defined as one's perception of the elements of the environment, the comprehension of their meaning, and the projection of their status in the near future. The concept of SA is well known in the aviation industry, which is characterized by complexity and dynamism. The discipline of anesthesia shares these same environmental characteristics, yet the study of SA in this setting is in its infancy. Guided by Endsley's theory of SA, the purpose of this study was to provide educators with a best-evidence predictor model of SA in student registered nurse anesthetists (SRNAs). Seventy-one SRNAs were randomly selected from 3 US universities. A nonexperimental, correlational design and multiple regression analysis were used to measure the relationship between memory, cognition, and automaticity and SA. Findings from this study reveal cognition as the best predictor of SA in graduate SRNAs, with the addition of memory and automaticity contributing no additional predictive value to the model. The results of this study have the potential to make a positive impact on the admission, education, and training of SRNAs. This study contributes evidence for further research examining the use of high-fidelity simulation in promoting SA in SRNAs.
authors.affiliation: Center for Research in Human Simulation, Virginia Commonwealth University, Richmond, Virginia, USA.
authors.forename: Suzanne M
authors.initials: SM
authors.lastname: Wright
authors.forename: Michael D
authors.initials: MD
authors.lastname: Fallacaro
mesh_terms: D000328:Adult; D001332:Automatism; D001359:Aviation / Q000193:education; D001364:Awareness; D003071:Cognition; D005260:Female; D006801:Humans; D008297:Male; D008568:Memory; D017145:Models, Educational; D015999:Multivariate Analysis; D009719:Nurse Anesthetists / Q000193:education*; D013663:Teaching / Q000379:methods*; D014584:User-Computer Interface