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Keyword Network Analysis of Infusion Nursing from Posts on the Q&A Board in the Intravenous Nurses Café

Authors :
Jeong Yun Park
Jinkyu Lee
Bora Hong
Source :
Healthcare Informatics Research, Vol 29, Iss 1, Pp 75-83 (2023)
Publication Year :
2023
Publisher :
The Korean Society of Medical Informatics, 2023.

Abstract

Objectives Portal sites have become places to share queries about performing nursing and obtain expert know-how. This study aimed to analyze topics of interest in the field of infusion nursing among nurses working in clinical settings. Methods In total, 169 user query data were collected from October 5, 2018 to December 25, 2021. This exploratory study analyzed the semantic structure of posts on the nurse question-and-answer board of an infusion nursing-related internet portal by extracting major keywords through text data analysis and conducting term frequency (TF) and term frequency-inverse document frequency (TF-IDF) analysis, N-gram analysis, and CONvergence of iteration CORrelation (CONCOR) analysis. Word cloud visualization was conducted utilizing the “wordcloud” package of Python to provide a visually engaging and concise summary of information about the extracted terms. Results “Infusion” was the most frequent keyword and the highest-importance word. “Infusion→line” had the strongest association, followed by “vein→catheter,” “line→change,” and “peripheral→vein.” Three topics were identified: the replacement of catheters, maintenance of the patency of the catheters, and securement of peripheral intravenous catheters, and the subtopics were blood sampling through central venous catheter, peripherally inserted central catheter management, evidence-based infusion nursing, and pediatric infusion nursing. Conclusions These findings indicate that nurses have various inquiries in infusion nursing. It is necessary to re-establish the duties and roles of infusion nurses, and to develop effective infusion nursing training programs.

Details

Language :
English
ISSN :
20933681 and 2093369X
Volume :
29
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Healthcare Informatics Research
Publication Type :
Academic Journal
Accession number :
edsdoj.3b6e073140414b74be1ed66b79116880
Document Type :
article
Full Text :
https://doi.org/10.4258/hir.2023.29.1.75