J Korean Gerontol Nurs.  2022 Aug;24(3):238-247. 10.17079/jkgn.2022.24.3.238.

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

Affiliations
  • 1Assistant Professor, Department of Nursing, Changshin University, Changwon, Korea
  • 2Assistant Professor, Department of Nursing, Gyeongnam Geochang University, Geochang, Korea

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 (β=.34, p=.002), clinical experience (β=-.32, p=.001), and emotional intelligence (β=.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.

Keyword

간호사; 요양병원간호; 간호역량; 감성지능; 메타인지; Nurses; Long-term care; Clinical competence; Emotional intelligence; Meta-cognition
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