ABSTRACT
PURPOSE: The aim of this study was to identify the research trends of articles published in the Journal of Korean Clinical Nursing Research from 2000 to 2017 by a text network analysis using keywords. METHODS: This study analyzed 600 articles. The R program was used for text mining that extracted frequency, centrality rank, and keyword network. RESULTS: From 2000 to 2009, keywords with high-frequency were ‘nurse’, ‘pain’, ‘anxiety’, ‘knowledge’, ‘attitude’, and so on. ‘Pain’, ‘nurse’, and ‘knowledge’ showed a high centrality. ‘Fatigue’ showed no high frequency but a high centrality. Keywords such as ‘nurse’, ‘knowledge’, and ‘pain’ also showed high frequency and centrality between 2010 and 2017. ‘Hemodialysis’ and ‘intensive care unit’ were added to keywords with high frequency and centrality during the period. CONCLUSION: The frequency and centrality of keywords such as ‘nurse’, ‘pain’, ‘knowledge’, ‘hemodialysis’, and ‘intensive care unit’ reflect the research trends in clinical nursing between 2000 and 2017. Further studies need to expand the keyword networks by connecting the main keywords.
Subject(s)
Clinical Nursing Research , Data Mining , Nursing , Nursing ResearchABSTRACT
PURPOSE: This study aimed to identify research trends in the Journal of Korean Academy of Nursing Administration from 2013 to 2015. METHODS: For this study, 171 articles were analyzed. Research designs, participants, research settings, sampling, and data analyses methods were reviewed using established analysis criteria. Keyword centrality and clusters were generated by keyword network analysis. RESULTS: Most of studies used quantitative methods (82.5%), and sampling mainly focused on nurses (68.8%). The most commonly used data analyses methods were t-test, ANOVA, correlation, and regression. The most central keywords were turnover and empowerment. Network analysis generated four network groups: 1) burnout; 2) turnover; 3) happiness; and 4) nursing professionalism. CONCLUSION: The results of this study identify current trends and interests in Korean nursing administration research. The findings from this study suggest that future studies include a variety of research methods and maintain appropriate research ethics.
Subject(s)
Ethics, Research , Happiness , Nursing Administration Research , Nursing Research , Nursing , Power, Psychological , Professionalism , Research Design , Statistics as TopicABSTRACT
PURPOSE: The purpose of this study was to analyze students experiences during clinical practice in nursing management. METHODS: Assessing through computerized databases, self-reflection reports of 57 students were analyzed. Text network analysis was applied to examine the research. The keywords from each student's reports were extracted by using the programs, KrKwic and NetMiner. RESULTS: The results of the keyword network analysis of what students learned in the nursing process included 27 words. The keyword network analysis of what students learned from the problem solving process included 23 words and the keyword network analysis of improvements in Clinical Practice of Nursing included 31 words. CONCLUSION: Studies related to clinical practice have been increasing, and themes of the studies have also become broader. Further research is required to investigate factors affecting clinical practice specifically in nursing management. Further comparative studies are necessary to define differences in clinical practice systems related to improving nursing students competency.