{"title":"基于报刊文章对新冠肺炎时代护理问题的探索性研究:文本网络分析的应用","authors":"Young Joo Lee","doi":"10.11111/jkana.2022.28.3.307","DOIUrl":null,"url":null,"abstract":"Purpose: This study was explored the current nursing issues in the COVID-19 era by analyzing newspaper articles. Methods: The search term \"nurse\"was used to collect newspaper articles from 2020. Pre-processing and semantic network analysis and topic group clustering were conducted using the NetMiner program to analyze the collected articles. Results: A total of 256 articles were identified, and four topics were extracted. The core keywords were \"medical care\", \"hospital\", \"COVID-19\"and \"medical workforce\". The extracted topics were \"work environment related to response to infectious diseases\", \"utilization of nursing resources\", \"excessive nursing work\", and \"shortage of nursing workforce\". Conclusion: Our findings provide useful information for understanding social perspectives of critical nursing issues in the COVID-19 era. Most of the extracted topics are the actual problems that nurses have faced for a long time. Now, nurses must proactively address current nursing issues to respond to national disasters and provide quality nursing care. © 2022 Korean Academy of Nursing Administration.","PeriodicalId":36976,"journal":{"name":"Journal of Korean Academy of Nursing Administration","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An Exploratory Study on Current Nursing Issues in the COVID-19 era through Newspaper Articles: The Application of Text Network Analysis\",\"authors\":\"Young Joo Lee\",\"doi\":\"10.11111/jkana.2022.28.3.307\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Purpose: This study was explored the current nursing issues in the COVID-19 era by analyzing newspaper articles. Methods: The search term \\\"nurse\\\"was used to collect newspaper articles from 2020. Pre-processing and semantic network analysis and topic group clustering were conducted using the NetMiner program to analyze the collected articles. Results: A total of 256 articles were identified, and four topics were extracted. The core keywords were \\\"medical care\\\", \\\"hospital\\\", \\\"COVID-19\\\"and \\\"medical workforce\\\". The extracted topics were \\\"work environment related to response to infectious diseases\\\", \\\"utilization of nursing resources\\\", \\\"excessive nursing work\\\", and \\\"shortage of nursing workforce\\\". Conclusion: Our findings provide useful information for understanding social perspectives of critical nursing issues in the COVID-19 era. Most of the extracted topics are the actual problems that nurses have faced for a long time. Now, nurses must proactively address current nursing issues to respond to national disasters and provide quality nursing care. © 2022 Korean Academy of Nursing Administration.\",\"PeriodicalId\":36976,\"journal\":{\"name\":\"Journal of Korean Academy of Nursing Administration\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Korean Academy of Nursing Administration\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.11111/jkana.2022.28.3.307\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Nursing\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Korean Academy of Nursing Administration","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.11111/jkana.2022.28.3.307","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Nursing","Score":null,"Total":0}
引用次数: 1
An Exploratory Study on Current Nursing Issues in the COVID-19 era through Newspaper Articles: The Application of Text Network Analysis
Purpose: This study was explored the current nursing issues in the COVID-19 era by analyzing newspaper articles. Methods: The search term "nurse"was used to collect newspaper articles from 2020. Pre-processing and semantic network analysis and topic group clustering were conducted using the NetMiner program to analyze the collected articles. Results: A total of 256 articles were identified, and four topics were extracted. The core keywords were "medical care", "hospital", "COVID-19"and "medical workforce". The extracted topics were "work environment related to response to infectious diseases", "utilization of nursing resources", "excessive nursing work", and "shortage of nursing workforce". Conclusion: Our findings provide useful information for understanding social perspectives of critical nursing issues in the COVID-19 era. Most of the extracted topics are the actual problems that nurses have faced for a long time. Now, nurses must proactively address current nursing issues to respond to national disasters and provide quality nursing care. © 2022 Korean Academy of Nursing Administration.
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