The Journal of Korean Academic Society of Nursing Education (한국간호교육학회지)

The Korean Academic Society of Nursing Education (한국간호교육학회)
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Research trend analysis of Korean new graduate nurses using topic modeling

토픽모델링을 활용한 신규간호사 관련 국내 연구동향 분석

  • Received : 2021.06.11
  • Accepted : 2021.07.01
  • Published : 2021.08.31
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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.

Keywords

Acknowledgement

This work was supported by the research grant of the Chungbuk National University in 2020.

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