A cross-sectional study on resilience and death anxiety among emergency nurses.

Authors

Ayman Mohamed El-Ashry, Haitham Mokhtar Mohamed Abdallah, Shimmaa Mohamed Elsayed, Mahmoud Abdelwahab Khedr, Mona Metwally El-Sayed, Mohamed Adel Ghoneam

Published in

BMC nursing. Volume 24. Issue 1. Pages 422. Apr 15, 2025. Epub Apr 15, 2025.

Abstract

Emergency nurses frequently encounter death and experience significant levels of death anxiety, impacting their mental well-being and professional performance.
Explore the levels of resilience and death anxiety among emergency nurses and examine the relationship between these two constructs.
Following STROBE guidelines, a cross-sectional descriptive correlational design was employed, with data collected from 417 emergency nurses in three hospitals.
The Socio-demographics Data Sheet, the Arabic Scale of Death Anxiety, and the Connor-Davidson Resilience Scale were utilized for data collection.
Results indicated average moderate levels of resilience and death anxiety among participants. A negative correlation was observed between resilience and death anxiety, suggesting that as resilience decreased, death anxiety tended to increase. Significant associations were found between death anxiety and gender, age, and years of experience. The stepwise hierarchical linear regression analysis of substantial factors predicting death anxiety among emergency nurses revealed that resilience, years of experience, and gender were significant predictors of death anxiety, explaining 10.2% of the variance.
These findings underscore the importance of addressing mental health challenges among emergency nurses and highlight the need for interventions aimed at promoting resilience and mitigating death anxiety. By fostering a supportive environment and providing resources for mental health, healthcare institutions can empower emergency nurses to thrive in their demanding profession while delivering optimal care to patients in critical situations.
Not applicable.

PMID:
40234861
Bibliographic data and abstract were imported from PubMed on 16 Apr 2025.

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