{"title":"长期护理医院护士护理能力预测因素的描述性研究","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":"{\"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}","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}
Predictors of Nursing Competency of Nurses in Long-term Care Hospitals: A Descriptive Study
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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