A study on the factors influencing the intention to receive booster shots of the Covid-19 vaccine in China based on the information frame effect
Bibliographic Data
| ID | 22084652 |
|---|---|
| Authors | Qizhen Zhu (Central South University), Yunyun Gao (0009-0008-8581-4340, Central South University), Qingyuan Hu (0000-0002-0780-7814, Central South University), Dehua Hu (0000-0001-8027-405X, Central South University, corresponding author), Xusheng Wu (0009-0001-2651-0813, corresponding author) |
| Year | 2024 |
| Volume | 12 |
| Pages | 1258188-1258188 |
| Publication date | 2024-02-20 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2024.1258188 |
| PMID | 38444439 |
| OpenAlex | W4391956616 |
| Language | EN |
| Citations received | 4 |
| References cited | 46 |
Introduction In the response to and prevention and control of the Novel coronavirus pneumonia, the COVID-19 vaccine does not provide lifelong immunity, and it is therefore important to increase the rate of booster shots of the COVID-19 vaccine. In the field of information health science, research has found that information frames have an impact in changing individual attitudes and health behaviors. Objective This study focuses on the effects of different influencing factors on the public’s willingness to receive the booster shots of the COVID-19 vaccine under two information frameworks. Methods An online questionnaire was conducted to explore the effects of demographic characteristics, personal awareness, social relationships, risk disclosure, perceived booster vaccination protection rate, and duration of protection under the assumption of an information framework. T test and one-way analysis were used to testing the effect of variables. Results (1) The persuasion effect under the gain frame is higher than that under the loss frame ( B = 0.863 vs. B = 0.746); (2) There was no significant difference in subjects’ intention of booster vaccination in terms of gender, age, income, occupation, educational background and place of residence. Whether family members received booster vaccination was strongly correlated with their intention of vaccination under the loss framework ( p = 0.017, M = 4.63, SD = 0.664). (3) The higher the understanding of COVID-19, the higher the degree of compliance with the government’s COVID-19 prevention and control measures, and the higher the willingness to strengthen vaccination; (4) Risk disclosure has a significant impact on people’s willingness to receive COVID-19 booster shots ( M = 2.48, under the loss framework; M = 2.44, under the gain framework); (5) Vaccine protection rate and duration of protection have an impact on people’s willingness to vaccinate. Increased willingness to vaccinate when the protection rate of booster vaccine approaches 90% ( M = 4.76, under the loss framework; M = 4.68, under the gain framework). When the vaccine protection period is 2 years, people are more willing to receive a booster vaccine; and the willingness to receive a booster shot is stronger under the loss framework ( M = 4.60, SD = 0.721, p = 0.879). Conclusion The impact of the information framework on COVID-19 vaccination intentions is different, and the disclosure of relevant health information should focus on the impact of the information framework and content on the public’s behavior toward strengthening vaccination. Therefore, in the face of public health emergencies, public health departments, healthcare institutions, and other sectors can consider adopting the Gainful Information Framework tool to disseminate health information to achieve better persuasion and promote public health behavior change enhancing public health awareness, and promoting universal vaccination
Disease · Environmental health · Residence · Vaccination · Demography · Health Literacy and Information Accessibility · Medicine · Misinformation and Its Impacts · Psychology · Vaccine Coverage and Hesitancy · Immunology
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| Unique citing works | 4 |
|---|---|
| Citations per year | 2 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |