How information processing and risk/benefit perception affect COVID-19 vaccination intention of users in online health communities

被引:5
作者
Liu, Hao [1 ]
Gong, Liyue [1 ]
Wang, Cao [1 ]
Gao, Yunyun [1 ]
Guo, Yi [1 ]
Yi, Minhan [1 ]
Jiang, Hao [1 ]
Wu, Xusheng [2 ]
Hu, Dehua [1 ]
机构
[1] Cent South Univ, Sch Life Sci, Dept Biomed Informat, Changsha, Peoples R China
[2] Shenzhen Hlth Dev Res & Data Management Ctr, Shenzhen, Peoples R China
关键词
COVID-19; vaccine; online health community; information processing; risk perception; benefit perception; RISK PERCEPTION; SEEKING; MODEL; VALIDATION; IMPACT;
D O I
10.3389/fpubh.2023.1043485
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
ObjectiveTo investigate the relationship among information processing, risk/benefit perception and the COVID-19 vaccination intention of OHCs users with the heuristic-systematic model (HSM). MethodsThis study conducted a cross-sectional questionnaire via an online survey among Chinese adults. A structural equation model (SEM) was used to examine the research hypotheses. ResultsSystematic information processing positively influenced benefit perception, and heuristic information processing positively influenced risk perception. Benefit perception had a significant positive effect on users' vaccination intention. Risk perception had a negative impact on vaccination intention. Findings revealed that differences in information processing methods affect users' perceptions of risk and benefit, which decide their vaccination intention. ConclusionOnline health communities can provide more systematic cues and users should process information systematically to increase their perceived benefits, consequently increase their willingness to receive COVID-19 vaccine.
引用
收藏
页数:10
相关论文
共 70 条
[51]   Information need as trigger and driver of information seeking: a conceptual analysis [J].
Savolainen, Reijo .
ASLIB JOURNAL OF INFORMATION MANAGEMENT, 2017, 69 (01) :2-21
[53]   Excluding numeric side-effect information produces lower vaccine intentions [J].
Shoots-Reinhard, Brittany ;
Lawrence, Eliza R. ;
Schulkin, Jay ;
Peters, Ellen .
VACCINE, 2022, 40 (31) :4262-4269
[54]   Risk Perception and Information Processing: The Development and Validation of a Questionnaire to Assess Self-Reported Information Processing [J].
Smerecnik, Chris M. R. ;
Mesters, Ilse ;
Candel, Math J. J. M. ;
De Vries, Hein ;
De Vries, Nanne K. .
RISK ANALYSIS, 2012, 32 (01) :54-66
[55]   Risk Belief and Attitude Formation From Translated Scientific Messages About PFOA, an Environmental Risk Associated With Breast Cancer [J].
Smith, Sandi W. ;
Hitt, Rose ;
Russell, Jessica ;
Nazione, Samantha ;
Silk, Kami ;
Atkin, Charles K. ;
Keating, David .
HEALTH COMMUNICATION, 2017, 32 (03) :279-287
[56]   Information needs and risk perception as predictors of risk information seeking [J].
Ter Huurne, Ellen ;
Gutteling, Jan .
JOURNAL OF RISK RESEARCH, 2008, 11 (07) :847-862
[57]   The antecedent role of personal environmental values in the relationships among trust in companies, information processing and risk perception [J].
Tortosa-Edo, V. ;
Lopez-Navarro, M. A. ;
Llorens-Monzonis, J. ;
Rodriguez-Artola, R. M. .
JOURNAL OF RISK RESEARCH, 2014, 17 (08) :1019-1035
[58]  
Trumbo CW, 2002, J COMMUN, V52, P367, DOI 10.1093/joc/52.2.367
[59]   Information Needs Mining of COVID-19 in Chinese Online Health Communities [J].
Wang, Jie ;
Wang, Lei ;
Xu, Jing ;
Peng, Yan .
BIG DATA RESEARCH, 2021, 24
[60]  
Wilson T. D., 2000, Informing Science, V3, P49