요양병원 간호사의 간호역량 예측요인
Predictors of Nursing Competency of Nurses in Long-term Care Hospitals: A Descriptive Study
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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.
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.
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