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Relationship Between Emotional Intelligence and Clinical Performance in Student Registered Nurse Anesthetists.
Krista L Christianson1, Louis Fogg, Michael J Kremer
1About the Authors Krista L. Christianson, PhD, CRNA, is an active duty US Air Force nurse anesthetist currently serving at the US Air Force Academy in Colorado Springs, Colorado. Louis Fogg, PhD, is an associate professor, Rush University College of Nursing, Chicago, Illinois. Michael J. Kremer, PhD, CRNA, FAAN, is a professor, Rush University College of Nursing, and co-director, Rush Center for Clinical Skills & Simulation. The views expressed in this article are those of the authors and do not necessarily reflect the official policy or position of the US Air Force, Department of Defense, or the US Government. For more information, contact Dr. Christianson at Krista.Christianson@gmail.com.
Emotional intelligence (EI) skills are crucial for nurse anesthetists. This study found that while students met performance objectives, lower EI scores may impact future clinical success.
Area of Science:
- Nursing Education
- Psychology
- Healthcare Performance Metrics
Background:
- Emotional intelligence (EI) encompasses recognizing, understanding, and managing emotions.
- Effective EI is increasingly recognized as vital for healthcare professionals.
- The role of EI in predicting clinical performance among student registered nurse anesthetists (SRNAs) requires further investigation.
Purpose of the Study:
- To assess the utility of the Mayer-Salovey-Caruso Emotional Intelligence Test Version 2.0 (MSCEIT V2.0) as a screening tool for SRNAs.
- To determine if EI scores predict clinical performance in SRNAs.
- To explore the relationship between specific EI abilities and clinical outcomes in nurse anesthesia students.
Main Methods:
- A pilot study involving 11 participants in a single nurse anesthesia program.
- Correlation analysis between MSCEIT V2.0 scores and formative clinical evaluation data.
- Examination of relationships between EI facets and objective clinical performance measures.
Main Results:
- Participants generally met established clinical performance objectives.
- SRNAs demonstrated limitations in using emotions for problem-solving and recognizing others' emotions.
- A potential negative correlation between certain EI deficits and clinical performance was suggested.
Conclusions:
- The MSCEIT V2.0 may serve as a useful screening instrument for identifying potential EI-related challenges in SRNAs.
- EI abilities, particularly emotional problem-solving and recognition, could significantly influence future SRNA clinical performance.
- Further research with larger cohorts is warranted to validate these findings and inform curriculum development.
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