| Literature DB >> 35562194 |
Norina Gasteiger1, Chiara Gasteiger2, Kavita Vedhara3, Elizabeth Broadbent4.
Abstract
Demographics and media discourse impact vaccine hesitancy. We explored the New Zealand public's perceptions of COVID-19 vaccines and associated media portrayal, and determined predictive factors associated with willingness to receive vaccines. A community cohort (N = 340) completed online surveys. A logistic regression explored whether characteristics predict willingness to receive the vaccine. Textual data were analysed thematically. Willingness to receive the vaccine was high (90%). Having a postgraduate degree (p =.026), trying to receive an influenza vaccine (p <.001) and fewer concerns (p <.001) predicted willingness. Health keyworkers (p <.001) were less willing. Participants wanted the vaccine for protection and returning to normality. Reasons against receiving vaccines regarded safety, efficacy, and an unclear roll-out plan. The media was reported to generally provide good/positive coverage, but also engage in unbalanced reporting and spreading misinformation. Education strategies should include collaborations between media and scientists and focus on distributing easy-to-access information. Health keyworkers should be reassured of testing/safety.Entities:
Keywords: COVID-19; Coronavirus; Mixed-methods; Perceptions; Vaccination; Vaccine hesitancy
Mesh:
Substances:
Year: 2022 PMID: 35562194 PMCID: PMC9068660 DOI: 10.1016/j.vaccine.2022.04.092
Source DB: PubMed Journal: Vaccine ISSN: 0264-410X Impact factor: 4.169
Demographic information of participants who responded to the survey at time-point 3 (N = 340).
| Age (years) | 43.6 ± 16.7 (18–84) |
| Gender | |
| Female | 313 [92] |
| Male | 25 [7] |
| Other | 2 [1] |
| Ethnicity | |
| New Zealand European | 253 [74] |
| Other | 61 [18] |
| Chinese | 11 [3] |
| Indian | 8 [2] |
| Māori | 5 [2] |
| Samoan | 2 [1] |
| Education | |
| No tertiary education | 95 [28] |
| Bachelor’s degree | 63 [19] |
| Post-graduate degree | 182 [54] |
| Keyworker status | |
| Not a keyworker | 188 [55] |
| Keyworker | 152 [45] |
| 116 [34] | |
| 36 [11] | |
| Willingness to receive COVID-19 vaccine | |
| Willing | 291 [90] |
| Not willing/unsure | 33 [10] |
| Tried to get flu vaccine in last year | |
| Yes | 229 [67] |
| No | 111 [33] |
| Received COVID-19 vaccine | |
| Yes | 15 [5] |
| No | 309 [95] |
| COVID-19 risk groups | |
| Risk (some and increased) | 72 [21] |
| No risk | 268 [79] |
Logistic regression for factors associated with willingness to receive COVID-19 vaccine (n = 276).
| Age | 0.00 | 0.00 | 1.00 | 0.96 | −0.01 | 0.15 | 0.99 | 0.68 |
| Gender | 0.35 | 0.20 | 1.41 | 0.50 | −0.78 | 0.77 | 0.46 | 0.29 |
| Educationb,1 | 0.10 | 0.04 | 1.11 | 0.82 | 0.06 | 0.01 | 1.06 | 0.94 |
| Educationb,2 | 0.96 | 4.83 | 2.62 | 0.024* | 1.27 | 4.94 | 3.55 | 0.026* |
| Flu vaccinec | 1.67 | 8.69 | 5.31 | <0.001* | ||||
| Keyworker statusd,1 | −2.01 | 11.42 | 0.13 | <0.001* | ||||
| Keyworker statusd,2 | −0.02 | 0.00 | 0.98 | 0.85 | ||||
| COVID-19 risk groupse | −0.35 | 0.35 | 0.70 | 0.62 | ||||
| GAD-7 | 0.22 | 0.26 | 1.02 | 0.68 | ||||
| Number of concerns | −1.22 | 23.76 | 0.30 | <0.001* | ||||
Note. * denotes significance at P <.05.
Willingness to receive COVID-19 vaccine was coded 0 = no, 1 = yes.
0 = female, 1 = male; b0 = no university degree, 1 = bachelor’s1, 2 = postgraduate2; c0 = no, 1 = yes; d0 = not keyworker, 1 = health keyworker1, 2 = other keyworker2; e0 = no risk, 1 = risk.
Fig. 1Sources of information accessed for information on the COVID-19 vaccine.