J Korean Acad Soc Nurs Educ.  2021 Aug;27(3):240-250. 10.5977/jkasne.2021.27.3.240.

Research trend analysis of Korean new graduate nurses using topic modeling

• Park S
• Lee JL

• KMID: 2519602
• DOI: http://doi.org/10.5977/jkasne.2021.27.3.240

Abstract

Purpose
The aim of this study is to analyze the research trends of articles on just graduated Korean nurses during the past 10 years for exploring strategies for clinical adaptation.
Methods
The topics of new graduate nurses were extracted from 110 articles that have been published in Korean journals between January 2010 and July 2020. Abstracts were retrieved from 4 databases (DBpia, RISS, KISS and Google scholar). Keywords were extracted from the abstracts and cleaned using semantic morphemes. Network analysis and topic modeling were performed using the NetMiner program.
Results
The core keywords included ‘education’, ‘training’, ‘program’, ‘skill’, ‘care’, ‘performance’, and ‘satisfaction’. In recent articles on new graduate nurses, three major topics were extracted by Latent Dirichlet Allocation (LDA) techniques: ‘turnover’, ‘adaptation’, ‘education’.
Conclusion
Previous articles focused on exploring the factors related to the adaptation and turnover intentions of new graduate nurses. It is necessary to conduct further research focused on various interventions at the individual, task, and organizational levels to improve the retention of new graduate nurses.

Keyword

Nurses, Semantics, Data mining, Personnel turnover, Adaptation, Psychological; 간호사, 의미론, 데이터마이닝, 직원 이직, 심리적 적응