Content Analysis of Feedback Journals for New Nurses from Preceptor Nurses Using Text Network Analysis

Abstract

This study aimed to identify keywords, core topic areas, and subthemes by 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 4.4.3 program. After data preprocessing, simple frequency, degree centrality, closeness centrality, betweenness centrality, and community modularity were analyzed. In the feedback journals, the most central words were "study,""medication,""practice,""nursing,""method,""need,"and "effort,"whereas frustration, "new nurses"had low centrality. Five subthemes were derived: (1) learning necessity to strengthen new nurses' competency, (2) independence of new nurses, (3) emphasis on accuracy in nursing skills, (4) difficulties in understanding the nursing tasks expected of new nurses, and (5) basic competency of new nurses. The results of this study highlighted the experiences of new nurses and allowed for an assessment of journal feedback content provided by preceptor nurses. As such, the study provides basic data to develop a standardized education and competency empowerment program for preceptor nurses.