New Nurses’ Experiences and Critical Thinking in Preceptorship Periods: Text Network Analysis of Critical Reflective Journals (65159)
Session Chair: Hye Won Jeong
Friday, January 6, 2023 (14:45)
Session: Session 4
Room: 323B
Presentation Type:Oral Presentation
In this study, the content of the critical reflective journals written by new nurses during their orientation were analyzed and shared through a text network. This study aimed to find ways to reduce turnover and improve clinical field adaptability among new nurses. We analyzed the content of reflective journals written by 143 new nurses from March 2020 to January 2021. Text network analysis was performed using NetMiner 4.3.3 program. After data preprocessing, simple frequency, degree centrality, closeness centrality, betweenness centrality, and eigenvector community were analyzed. Totally, 453 words were extracted and refined, and words with high simple frequency and centrality were "incompetence", "preparation", "explanation", "injection", "time", "examination", and "first try". “Medication” was at the top for simple occurrence frequency, and “incompetence” was the most important keyword in centrality analysis. Additionally, cohesive analysis and eigenvector community analysis revealed three sub-topic groups: 1) basic nursing skills required for new nurses, 2) insufficient competency, and 3) explanation of nursing work. This study is significant in that it analyzed the subjective experiences of the critical reflective journals using the text network method. The findings reveal that changes are needed to improve the educational system for new nurses and promote efficient sharing of nursing tasks.
Authors:
Hye Won Jeong, Chonnam National University Hospital, South Korea
About the Presenter(s)
Dr Hye Won Jeong is a Professor at Chonnam National University Hospital in South Korea
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