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Resilience and Emotional Intelligence of Staff Nurses during the COVID-19 Pandemic
Although numerous scholars have studied resilience during the COVID-19 pandemic, research exploring its relationship with emotional intelligence is scarce. The aim of this study was to determine the relationship between the resilience and emotional intelligence (EI) of staff nurses during the COVID-...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9691039/ https://www.ncbi.nlm.nih.gov/pubmed/36360460 http://dx.doi.org/10.3390/healthcare10112120 |
Sumario: | Although numerous scholars have studied resilience during the COVID-19 pandemic, research exploring its relationship with emotional intelligence is scarce. The aim of this study was to determine the relationship between the resilience and emotional intelligence (EI) of staff nurses during the COVID-19 pandemic. Data for this quantitative correlational study were gathered from the staff nurses of hospitals in the city of Hail, Saudi Arabia. The researchers employed simple random sampling, which yielded 261 staff nurses. Nationality (t = 6.422; p < 0.001) was found to have a significant relationship with resilience. Sex (t = 5.22; p < 0.001), ward assignment (t = 5.22; p < 0.001), age (F = 6.67; p < 0.001), and years of experience (F = 6.67; p < 0.001) revealed significant relationships with emotional intelligence. Resilience had a moderate positive relationship with EI (r = 0.55; p < 0.023), a weak positive relationship with self-emotion (r = 0.21; p < 0.003), and a very strong relationship with emotional appraisal (r = 0.85; p < 0.001). Improving emotional-intelligence skills is critical for assisting nurses during pandemic outbreaks. This can increase their individual and social resilience, while also improving their professional and life outcomes. These research findings suggest that emotional intelligence should be integrated into clinical practice and that EI data should be integrated into decision-making. |
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