[참여대학원생 김은조] 최근 10년간 ‘한국정신간호학회’ 학술지의 게재 연구 분석: 텍스트 네트워크 분석 및 토픽 모델링의 활용

2024-02-27l 조회수 321

Kim EJ, Han K-S. An analysis of Research Published in the Journal of Korean Academy of Psychiatric and Mental Health Nursing from 2013 to 2022 using Text Network Analysis and Topic Modeling. J Korean Acad Psychiatr Ment Health Nurs. 2023 6;32(2):188-202. DOI: https://doi.org/10.12934/jkpmhn.2023.32.2.188

Abstract

Purpose
This study aimed to examine research published in the Journal of Korean Academy of Psychiatric and Mental Health Nursing (JKPMHN) from 2013 to 2022.

Methods

Descriptive statistics, text network analysis, and topic modeling were used to analyze 368 articles.

Results

The most prevalent research designs in the articles published during the past decade were cross-sectional studies (44.6%) and qualitative research (19.2%). The subjects of the included studies were people with mental illnesses (18.7%), nursing students (11.7%), and psychiatric nurses (8.7%). A text network comprised of the keywords from the research abstracts was constructed and presented. The text network analysis identified the main keywords as: “depression”, “family”, “stress”, “intervention”, “life”, “suicide”, “communication”, “alcoholics”, and “experience”. Seven topics were derived through the topic modeling: nursing intervention for mental health problems, nursing research for patients with mental illnesses, the competency of mental health nurses, the meaning derived from life experience, family in mental health, the mental health of nurses, and the mental health of students.

Conclusion

This study determined the recent research trends in the JKPMHN. In psychiatric nursing research, efforts should continue to serve as the basis for practice and produce relevant evidence, and research priorities need to be established.

Key words: Korea; Psychiatric nursing; Nursing research; Trends; Analysis

게시판

학술게시판: 논문

[참여대학원생 김은조] 최근 10년간 ‘한국정신간호학회’ 학술지의 게재 연구 분석: 텍스트 네트워크 분석 및 토픽 모델링의 활용