Keyword Network Analysis of Infusion Nursing from Posts on the Q&A Board in the Intravenous Nurses Café
- Author:
Jeong Yun PARK
1
;
Jinkyu LEE
;
Bora HONG
Author Information
- Publication Type:Original Article
- From:Healthcare Informatics Research 2023;29(1):75-83
- CountryRepublic of Korea
- Language:English
-
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.
