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.
Highlights
In the current situation, where the importance of nursing staff and nursing is being mentioned due to the COVID-19 crisis, this study investigated what opinions and perceptions people have about nursing and the role of nursing staff in Recently, studies to predict trends using social big data are being conducted as unstructured data in the form of text produced in online channels has a very high impact on the actual economy and society [20]
We found that the frequency of searches related to nursing homes (NHs)
For example, we identified increased public concern about mass infection in NHs and nursing staff’s difficulties in coping with the COVID-19 crisis
Summary
Coronavirus disease 19 (COVID-19) began in Wuhan, China in December 2019, and 167 million confirmed cases were reported in about 221 countries, of which 3.47 million people died, and the number of confirmed cases worldwide increased sharply by May. 2021 [1]. Late adults and elders (people aged 50–64) increased their mortality rate by 30 times when they were infected with COVID-19, 90 times when they were 65–74 years old, 220 times when they were 75–84 years old, and 630 times when they were 85 years old or older [4]. In Korea, by May 2021, the proportion of those aged 80 or older among COVID-19 confirmed cases was 4.15%, while the proportion of those aged 80 or older among COVID-19 deaths was 55.33% [3]. The older the age, the higher the fatality rate [3]
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