Research trend analysis of Korean new graduate nurses using topic modeling

Q3 Nursing
Seungmi Park, Jung Lim Lee
{"title":"Research trend analysis of Korean new graduate nurses using topic modeling","authors":"Seungmi Park, Jung Lim Lee","doi":"10.5977/jkasne.2021.27.3.240","DOIUrl":null,"url":null,"abstract":"Purpose: The aim of this study is to analyze the research trends of articles on just graduated Korean nurses during the past 10 years for exploring strategies for clinical adaptation. Methods: The topics of new graduate nurses were extracted from 110 articles that have been published in Korean journals between January 2010 and July 2020. Abstracts were retrieved from 4 databases (DBpia, RISS, KISS and Google scholar). Keywords were extracted from the abstracts and cleaned using semantic morphemes. Network analysis and topic modeling were performed using the NetMiner program. Results: The core keywords included ‘education’, ‘training’, ‘program’, ‘skill’, ‘care’, ‘performance’, and ‘satisfaction’. In recent articles on new graduate nurses, three major topics were extracted by Latent Dirichlet Allocation (LDA) techniques: ‘turnover’, ‘adaptation’, ‘education’. Conclusion: Previous articles focused on exploring the factors related to the adaptation and turnover intentions of new graduate nurses. It is necessary to conduct further research focused on various interventions at the individual, task, and organizational levels to improve the retention of new graduate nurses.","PeriodicalId":36262,"journal":{"name":"Journal of Korean Academic Society of Nursing Education","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2021-08-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Korean Academic Society of Nursing Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5977/jkasne.2021.27.3.240","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

Abstract

Purpose: The aim of this study is to analyze the research trends of articles on just graduated Korean nurses during the past 10 years for exploring strategies for clinical adaptation. Methods: The topics of new graduate nurses were extracted from 110 articles that have been published in Korean journals between January 2010 and July 2020. Abstracts were retrieved from 4 databases (DBpia, RISS, KISS and Google scholar). Keywords were extracted from the abstracts and cleaned using semantic morphemes. Network analysis and topic modeling were performed using the NetMiner program. Results: The core keywords included ‘education’, ‘training’, ‘program’, ‘skill’, ‘care’, ‘performance’, and ‘satisfaction’. In recent articles on new graduate nurses, three major topics were extracted by Latent Dirichlet Allocation (LDA) techniques: ‘turnover’, ‘adaptation’, ‘education’. Conclusion: Previous articles focused on exploring the factors related to the adaptation and turnover intentions of new graduate nurses. It is necessary to conduct further research focused on various interventions at the individual, task, and organizational levels to improve the retention of new graduate nurses.
用主题模型分析韩国新毕业护士研究趋势
目的:本研究旨在分析近10年来韩国刚毕业护士的研究趋势,以探讨临床适应策略。方法:选取2010年1月至2020年7月在韩国期刊上发表的110篇新毕业护士论文的主题。摘要检索自4个数据库(DBpia、RISS、KISS和谷歌scholar)。从摘要中提取关键词并使用语义语素进行清理。使用NetMiner程序进行网络分析和主题建模。结果:核心关键词包括“教育”、“培训”、“计划”、“技能”、“关怀”、“绩效”和“满意度”。在最近关于新毕业护士的文章中,通过潜在狄利克雷分配(LDA)技术提取了三个主要主题:“周转”,“适应”,“教育”。结论:以往的文章主要探讨了新毕业护士的适应和离职意向的相关因素。有必要在个人、任务和组织层面开展各种干预措施,以提高新毕业护士的保留率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
1.40
自引率
0.00%
发文量
29
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信