Mapping the Global Research Landscape on the Nurse Resilience Management: A Bibliometric Analysis

Yana Us, Neringa Gerulaitienė
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Abstract

Abstract Global critical events such as the COVID-19 pandemic significantly influence the healthcare system, particularly healthcare workers. In this view, more studies emphasized the necessity to increase healthcare resilience. However, the systematization of the literary sources showed no bibliometric studies devoted to a comprehensive investigation of nurse resilience management. The main aim of this study is to analyse the status of the global research landscape on nurse resilience management and detect the forthcoming trends in this research field. The research questions are as follows: 1) What is the current status of research on nurse resilience management? 2) What are the future research directions for developing nurse resilience management? The research object is the scientific documents published in high-quality scientific journals indexed in the Web of Science database. The total sample of publications is 245 documents. The study period covers 2005–2022 (up to 7 September 2022). The study involved bibliometric and knowledge visualization methods to achieve the research goal. The research was conducted in the following logical sequence: 1) collecting and pre-processing data; 2) analysing and visualizing data (general statistics, collaboration networks, and research trends); 3) interpreting results and discussing future research directions. The findings of bibliometric analysis allowed analysing the dynamic of publication activity, detecting the most influential articles, sources, and researchers, as well as setting up a typology of the themes of the analysed scope of literature.
绘制护士弹性管理的全球研究景观:文献计量学分析
摘要新冠肺炎大流行等全球重大事件对医疗系统,尤其是医护人员产生了重大影响。在这种观点下,更多的研究强调了提高医疗弹性的必要性。然而,文献来源的系统化表明,没有文献计量学研究专门用于全面调查护士恢复力管理。本研究的主要目的是分析全球护士复原力管理研究现状,并发现该研究领域即将出现的趋势。研究问题如下:1)护士弹性管理的研究现状如何?2) 发展护士弹性管理的未来研究方向是什么?研究对象是在科学网数据库中索引的高质量科学期刊上发表的科学文献。出版物样本总数为245份文件。研究期为2005-2022年(截至2022年9月7日)。本研究采用文献计量学和知识可视化方法来实现研究目标。研究按以下逻辑顺序进行:1)数据的收集和预处理;2) 分析和可视化数据(一般统计数据、协作网络和研究趋势);3) 解读研究结果并讨论未来的研究方向。文献计量分析的发现使我们能够分析出版活动的动态,发现最具影响力的文章、来源和研究人员,并建立所分析的文学范围的主题类型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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