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KMID : 0922320230300020141
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Journal of Korean Academic Society of Home Care Nursing
2023 Volume.30 No. 2 p.141 ~ p.154
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Analysis of the Contents of Visiting Nursing Articles on Domestic Portal Sites Using Topic Modeling: Focusing on the Comparison Before and After Coronavirus Disease
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Lim Ji-Young
Lee Mi-Jin
Kim Geun-Myun
Lee Ok-kyun
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Abstract
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Purpose: This study aimed to explore the social perception of visiting nursing before and after coronavirus disease (COVID-19).
Methods: This survey-based study used online big data for comparative analysis by classifying the keywords related to visiting nursing searched on domestic portal sites before and after COVID-19.
Results: According to the results of analyzing the Intertopic Distance Map based on Latent Dirichlet Allocation in this study, four topics were extracted, two each before and after COVID-19. The first topic before the COVID-19 period was termed “the expansion of visiting nursing subjects and services visiting nursing,” while the second was termed “visiting nursing,” which is related to customized welfare. The first topic after the COVID-19 period was termed “the suspension and resumption of visiting nursing services,” while the second was “the development of a non-face-to-face home visit healthcare system”.
Conclusion: The results of this study can be used as useful reference data to contribute to future medical service delivery system reform policies starting at the end of COVID-19 and the revitalization of community care for visiting nursing.
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KEYWORD
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Big Data, COVID-19, Home Health Nursing, Nurses
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