J Korean Clin Nurs Res.
2019 Apr;25(1):80-90. 10.22650/JKCNR.2019.25.1.80.
Research Trends of Articles Published in the Journal of Korean Clinical Nursing Research from 2000 to 2017: Text Network Analysis of Keywords
- Affiliations
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- 1Professor, Department of Clinical Nursing, University of Ulsan, Korea.
- 2Professor, Department of Nursing, University of Ulsan, Korea. smoon@ulsan.ac.kr
- 3Professor, Graduate School of Clinical Nursing Science, Sungkyunkwan University, Korea.
- 4Inviting Professor, College of Health & Welfare & Nursing, Chungwoon University, Korea.
- 5Professor, Division of Nursing, Hallym University, Research Institute of Nursing Science, Korea.
- 6Chief Nursing Officer, Department of Nursing, Chonnam National University Hospital, Korea.
- 7Associate Professor, Department of Nursing, Sunchon National University, Korea.
- 8Associate Professor, Department of Nursing, Inha University, Korea.
- KMID: 2447698
- DOI: http://doi.org/10.22650/JKCNR.2019.25.1.80
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.
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