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Predictors of Nursing Competency of Nurses in Long-term Care Hospitals: A Descriptive Study

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KMID : 0895920220240030238
ÀÓÁ¤Çý ( Lim Jung-Hye ) - Changshin University Department of Nursing

±è¹ÌÁ¤ ( Kim Mi-Jung ) - Changshin University Department of Nursing
Àܼ̿± ( Lee Oe-Seon ) - Gyeongnam Geochang University Department of Nursing

Abstract

Purpose: This study aimed to identify the predictors of nursing competency of nurses in long-term care hospitals.

Methods: The subjects of this study were 119 nurses working at long-term care hospitals in Gyeongsangnam-do and Gyeongsangbuk-do. Data were collected from September to December 2021 and analyzed using descriptive statistics, t-test, one-way analysis of variance, Pearson's correlation, and hierarchical regression by SPSS/WIN 21.0.

Results: The most potent predictors of nursing competency of nurses in long-term care hospitals were meta-cognition (¥â=.34, p=.002), clinical experience (¥â=-.32, p=.001), and emotional intelligence (¥â=.24, p=.025), which explained 40.0% of the variance.

Conclusion: The results suggest that strategies for improving nursing competency of nurses in long-term care hospitals should focus on meta-cognition and emotional intelligence improvement, and a differentiated education program according to clinical experience is needed.
KeyWords
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Nurses, Long-term care, Clinical competence, Emotional intelligence, Meta-cognition
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