Risk Management and Healthcare Policy (Feb 2023)
Analysis of the Influencing Factors of Seeking Intention on COVID-19 Risk Information: A Cross-Sectional Study
Abstract
Nan Li,1 Wei-Xin Zhang,1 Yan-Yan Sun,1 Ting Li,1 Wei-Dan Cao,2 Qing-Hua Yang,3 Xin-Yao Zhang1 1School of Public Health, Jilin University, Changchun, People’s Republic of China; 2Edward R. Murrow College of Communication, Washington State University, Pullman, WA, USA; 3Bob Schieffer College of Communication, Texas Christian University, Fort Worth, TX, USACorrespondence: Xin-Yao Zhang, School of Public Health, Jilin University, 1163 Xinmin Street, Changchun, People’s Republic of China, Tel +86 13194352232, Email [email protected]: Information seeking, as an important part of the prevention and control of infectious diseases, can lead to positive outcomes by reducing uncertainty and alleviating panic. However, most previous studies have limited their analysis to individual-level psychosocial factors, and little is known about how social-level factors influence individuals’ information-seeking intentions.Methods: The cross-sectional survey was conducted from July 30, 2020 to August 15, 2020 in China. We used a convenience sampling strategy to recruit participants from among the Internet users. The structural equation model was used to identify the incentives associated with coronavirus disease 2019 (COVID-19) risk information-seeking intention.Results: In this study, the responses of 871 Internet users who reflected a response rate of 85% were analyzed. Information-seeking intention was found to be directed by informational subjective norms (ISNs), perceived information need, risk knowledge, the sense of community (SOC), and negative affective responses, and ISNs were found to be the strongest driving factor. Individuals with a stronger SOC, which was associated with greater pressure and expectations, show negative affective responses. COVID-19 risk knowledge can affect the information-seeking intention of Internet users not only directly but also indirectly through their perceived information need. In addition, more risk knowledge was associated with a lower perceived risk likelihood.Conclusion: When formulating risk communication strategies, governments and health institutions should take targeted measures to improve the public’s SOC and knowledge. This will provide an opportunity to explore the role of individual cognition and environmental risk information in public health.Keywords: COVID-19, seeking intention, sense of community, internet user, planned risk information seeking model
