目的:本研究旨在确定护理领域的主要主题,并通过使用文本挖掘方法分析几种主要护理研究期刊的摘要来显示随时间变化的观点。
方法:文本挖掘和网络分析。
方法:文本分析结合了自动和手动操作,以识别非结构化数据中的模式。在PubMed档案中进行了涵盖1998-2021年的详细搜索,以收集六本护理期刊的文章:高级护理杂志,国际护理研究杂志,西方护理研究杂志,护理研究,护理奖学金与护理与健康研究杂志。本研究采用四阶段文本挖掘和网络方法,收集文本数据和清理,预处理,文本分析和高级分析。使用Endnote进行分析和数据可视化,JMP,MicrosoftExcel,Tableau和VOSviewer版本。从六本日记中,PubMed中的17,581个引用被合并为一个EndNote文件。由于缺少抽象信息,2496个参考文献从研究中排除。其余参考文献(n=15,085)用于文本挖掘分析。
结果:将18名受试者分为两个主要组:研究方法主题和护理研究主题。最引人注目的主题是定性研究,概念分析,下降趋势中的先进实践,和文献检索,统计分析,随机对照试验,定量研究,护士执业环境,风险评估和护理科学。根据网络分析结果,护理满意度与职业倦怠和护理实践环境高度相关,占总语料库的10%。这项研究以各种方式为文本挖掘增强的护理研究领域做出了贡献。研究结果揭示了研究人员越来越意识到最新的研究状况,多年来的子领域和趋势,找出差距并规划未来的研究议程。没有耐心或公共贡献。
OBJECTIVE: This study is set to determine the main topics of the nursing field and to show the changing perspectives over time by analysing the abstracts of several major nursing research journals using text mining methodology.
METHODS: Text mining and network analysis.
METHODS: Text analysis combines automatic and manual operations to identify patterns in unstructured data. Detailed searches covering 1998-2021 were conducted in PubMed
archives to collect articles from six nursing journals: Journal of Advanced Nursing, International Journal of Nursing Studies, Western Journal of Nursing Research, Nursing Research, Journal of Nursing Scholarship and Research in Nursing and Health. This study uses a four-phase text mining and network approach, gathering text data and cleaning, preprocessing, text analysis and advanced analyses. Analyses and data visualization were performed using Endnote, JMP, Microsoft Excel, Tableau and VOSviewer versions. From six journals, 17,581 references in PubMed were combined into one EndNote file. Due to missing abstract information, 2496 references were excluded from the study. The remaining references (n = 15,085) were used for the text mining analyses.
RESULTS: Eighteen subjects were determined into two main groups; research method topics and nursing research topics. The most striking topics are qualitative research, concept analysis, advanced practice in the downtrend, and literature search, statistical analysis, randomized control trials, quantitative research, nurse practice environment, risk assessment and nursing science. According to the network analysis results, nursing satisfaction and burnout and nursing practice environment are highly correlated and represent 10% of the total corpus. This study contributes in various ways to the field of nursing research enhanced by text mining. The study findings shed light on researchers becoming more aware of the latest research status, sub-fields and trends over the years, identifying gaps and planning future research agendas. No patient or public contribution.