Content Analysis of Feedback Journals for New Nurses from Preceptor Nurses using Text Network Analysis (65232)

Session Information:

Thursday, January 5, 2023 (16:30)
Session: Poster
Room: 3F Hallway
Presentation Type:Poster Presentation

All presentation times are UTC-10 (Pacific/Honolulu)

The purpose of this study was to identify keywords, core topic areas, and sub-themes through analyzing feedback journals written by preceptor nurses to new nurses during the preceptorship period and to derive implications through word clustering. A total of 143 preceptor nurses’feedback journals for new nurses from March 2020 to January 2021 were converted into a database using Microsoft Office Excel. Text network analysis was performed using the NetMiner 4.3.3 program. After data pre-processing, simple frequency, degree centrality, closeness centrality, betweenness centrality, and community modularity were analyzed. In the feedback journals, words with high frequency and centrality were "study", "medication", "practice", "nursing", "method", "need", "effort", and "frustration", while "new nurses" showed low centrality. Five sub-themes were derived as follows: (1) learning necessity to 16 strengthen new nurses’ competency, (2) independence of new nurses, (3) emphasis on accuracy in nursing skills, (4) difficulties in understanding the nursing tasks experienced by new nurses, and (5) basic competency of new nurses. Through the results of this study, it was possible to highlight the experiences of new nurses and, simultaneously, assess journal feedback content provided by preceptor nurses. Thus, this study provides basic data to develop a standardized education and competency empowerment program for preceptor nurses.

Authors:
Shinhye Ahn, Chonnam National University Hospital, South Korea


About the Presenter(s)
Ahn Shin-hye is currently working as a member of the nursing education team at a tertiary general hospital in Korea and is a doctoral student. Her interests include educational program development and critical care nursing.

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Posted by Clive Staples Lewis

Last updated: 2023-02-23 23:45:00