Topic Modeling of Nursing Issues in the Media During 4 Emerging Infectious Disease Epidemics in South Korea: Descriptive Analysis

Analysis of the identified themes and associated keyword network revealed that issues related to nurse shortages, working conditions, and poor treatment were not unique to the COVID-19 pandemic but rather recurring themes from previous epidemics. Our findings can be used to inform strategies to improve the professional roles, work environment, and treatment of nurses during health crises. Suggestions for future nursing-related policy impact and change research are also provided.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2024-12-21
DOI
https://doi.org/10.2196/60446
Citations
2
Primary Topic
Computational and Text Analysis Methods
Type
article
Field-Weighted Citation Impact
3.79
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article

Topic Modeling of Nursing Issues in the Media During 4 Emerging Infectious Disease Epidemics in South Korea: Descriptive Analysis

Eun Kyoung Yun, Jungok Kim
2 citations
Journal of Medical Internet Research
Computational and Text Analysis Methods
3.79
article

Topic Modeling of Nursing Issues in the Media During 4 Emerging Infectious Disease Epidemics in South Korea: Descriptive Analysis

Eun Kyoung Yun, Jungok Kim
article en
2 citations

Abstract

Analysis of the identified themes and associated keyword network revealed that issues related to nurse shortages, working conditions, and poor treatment were not unique to the COVID-19 pandemic but rather recurring themes from previous epidemics. Our findings can be used to inform strategies to improve the professional roles, work environment, and treatment of nurses during health crises. Suggestions for future nursing-related policy impact and change research are also provided.

Journal of Medical Internet ResearchVol. 27
Kyung Hee University (KR)
Good health and well-being
Openalex Percentile: Top 5%
Computational and Text Analysis Methods
3.79
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