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
  • 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.

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.

Keyword

Nursing Research; Clinical Nursing Research; Text Network Analysis; Keyword

MeSH Terms

Clinical Nursing Research*
Data Mining
Nursing
Nursing Research
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