AI Article Synopsis
- The study aimed to explore how information processing affects perceptions of risk and benefit related to COVID-19 vaccinations among users of online health communities (OHCs), using the heuristic-systematic model (HSM).
- Researchers conducted an online survey with Chinese adults and employed a structural equation model to analyze their data.
- The results showed that systematic information processing improved benefit perceptions (increasing vaccination intention), while heuristic processing heightened risk perceptions (decreasing vaccination intention), suggesting that encouraging systematic processing could promote higher vaccination rates.
Article Abstract
Objective: To investigate the relationship among information processing, risk/benefit perception and the COVID-19 vaccination intention of OHCs users with the heuristic-systematic model (HSM).
Methods: This study conducted a cross-sectional questionnaire an online survey among Chinese adults. A structural equation model (SEM) was used to examine the research hypotheses.
Results: Systematic 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.
Conclusion: Online 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.
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|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9989022 | PMC |
| http://dx.doi.org/10.3389/fpubh.2023.1043485 | DOI Listing |
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