COVID-19-Related Information Sources and the Relationship With Confidence in People Coping with COVID-19: Facebook Survey Study in Taiwan

Peng Wei Wang, Wei Hsin Lu, Nai Ying Ko, Yi Lung Chen, Dian Jeng Li, Yu Ping Chang, Cheng Fang Yen

研究成果: Article

1 引文 斯高帕斯(Scopus)

摘要

BACKGROUND: People obtain information on the coronavirus disease (COVID-19) from the internet and other sources. Understanding the factors related to such information sources aids health professionals in educating individuals. OBJECTIVE: This study used data collected from the online survey study on COVID-19 in Taiwan to examine what major COVID-19 information sources are available and which sources are significantly related to the self-confidence of people in coping with COVID-19 in Taiwan. METHODS: A total of 1904 participants (1270 non-health-care workers and 634 health care workers) were recruited from the Facebook advertisement. Their major sources of information about COVID-19, the relationships between the sources and demographic factors, and the relationships between the sources and the self-confidence in coping with COVID-19 were surveyed. RESULTS: Most Taiwanese people relied on the internet for COVID-19 information. Many respondents also used a variety of sources of information on COVID-19; such variety was associated with sex, age, and the level of worry toward COVID-19, as well as if one was a health care worker. For health care workers, the use of formal lessons as an information source was significantly associated with better self-confidence in coping with COVID-19. The significant association between receiving information from more sources and greater self-confidence was found only in health care workers but not in non-health-care workers. CONCLUSIONS: Medical professionals should consider subgroups of the population when establishing various means to deliver information on COVID-19.

原文English
頁(從 - 到)e20021
期刊Journal of medical Internet research
22
發行號6
DOIs
出版狀態Published - 2020 六月 5

All Science Journal Classification (ASJC) codes

  • Health Informatics

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