Perceptions Related to Nursing and Nursing Staff in Long-Term Care Settings during the COVID-19 Pandemic Era: Using Social Networking Service

Juhhyun Shin, Sunok Jung, Hyeonyoung Park, Yaena Lee and Yukyeong Son
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Juhhyun Shin: College of Nursing, Ewha Womans University, Seoul 03760, Korea
Sunok Jung: College of Nursing, Ewha Womans University, Seoul 03760, Korea
Hyeonyoung Park: College of Nursing, Ewha Womans University, Seoul 03760, Korea
Yaena Lee: College of Nursing, Ewha Womans University, Seoul 03760, Korea
Yukyeong Son: Samsung Seoul Hospital, Seoul 06351, Korea

IJERPH, 2021, vol. 18, issue 14, 1-15

Abstract: Purpose: The purpose of this study was to investigate what opinions and perceptions people have about nursing and the role of nursing staff in nursing homes (NHs) on Social Networking Service (SNS) by analyzing large-scale data through social big-data analysis. Methods: This study investigated changes in perception related to nursing and nursing staff in NHs during the COVID-19 pandemic era using target channels (blogs, cafes, Instagram, communities, Twitter, etc.). Data were collected on the channel from 12 September 2019 to 11 September 2020, 6 months before and after 12 March 2020 when the COVID-19 pandemic was declared. Selected keywords included “nursing,” “nurse,” and “nursing staff,” and included words were “long-term care settings,” “geriatric hospital,” and “nursing home.” Text mining, opinion mining, and social network analysis were conducted. Results: After the COVID-19 pandemic, the frequency of keywords increased about 1.5 times compared to before. In March 2020 when the COVID-19 pandemic was declared, the negative phrase “be infected” ranked number one, resulting in a sharp 8% rise in the percentage of negative words in that month. The related words that have risen in rank significantly, or were newly ranked in the Top 30 after the pandemic, were related with COVID-19. Conclusion: The public began to realize the role of nursing staff in the prevention and management of mass infection in NHs and the importance of nursing staff after the pandemic. Further studies should examine the perceptions of those who have received nursing services and include a wide range of foreign channels.

Keywords: nursing staff; COVID-19; nursing homes; Social Network Service; big-data (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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