{"title":"Predictors of Nursing Competency of Nurses in Long-term Care Hospitals: A Descriptive Study","authors":"Jung-Hye Lim, Mi-Jung Kim, O. Lee","doi":"10.17079/jkgn.2022.24.3.238","DOIUrl":null,"url":null,"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.","PeriodicalId":52377,"journal":{"name":"Journal of Korean Gerontological Nursing","volume":"101 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Korean Gerontological Nursing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17079/jkgn.2022.24.3.238","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Nursing","Score":null,"Total":0}
引用次数: 0
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.