Overcoming COVID-19 Vaccine Hesitancy: Insights from an Online Population-Based Survey in the United States.
Overcoming COVID-19 Vaccine Hesitancy: Insights from an Online Population-Based Survey in the United States.
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DOI:
10.3390/vaccines9101100
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发表时间:
2021-09-28
期刊:
影响因子:
7.8
通讯作者:
Amos CI
中科院分区:
文献类型:
--
作者:
Badr H;Zhang X;Oluyomi A;Woodard LD;Adepoju OE;Raza SA;Amos CI
This study sought to identify individual-level determinants of COVID-19 vaccine hesitancy based on the Health Belief Model (HBM) and Theory of Planned Behavior (TPB). An online population-based survey was distributed in English and Spanish. Data were derived from 1208 U.S. adults (52% female; 38.7% minorities), 43.5% of whom reported vaccine hesitancy. Multivariable analysis revealed that unemployed individuals were more likely (OR = 1.78, 95% CI: 1.16–2.73, p = 0.009) and married (OR = 0.57, 95% CI: 0.39–0.81, p = 0.002) and higher income individuals (OR = 0.52, 95% CI 0.32–0.84, p = 0.008) were less likely to be hesitant. Individuals with greater perceived susceptibility to COVID-19 (OR = 0.82, 95% CI: 0.71–0.94, p = 0.006), who perceived vaccination as being convenient (OR = 0.86, 95% CI: 0.74–1.00, p = 0.047), and who afforded greater importance to cues to action from government (OR = 0.84, 95% CI: 0.74–0.95, p = 0.005), public health (OR = 0.70, 95% CI: 0.59–0.82, p < 0.001), and healthcare experts (OR = 0.59, 95% CI: 0.50–0.69, p < 0.001) were also less likely to be hesitant. Findings suggest that HBM and TPB constructs may be useful in informing strategies to improve COVID-19 vaccine uptake. Specifically, framing appeals based on perceptions of COVID-19 susceptibility, making vaccination convenient, and rebuilding trust through unified cues to action may help to overcome vaccine hesitancy.
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影响因子:
5.9
作者:
Khubchandani J;Sharma S;Price JH;Wiblishauser MJ;Sharma M;Webb FJ
通讯作者:
Webb FJ
影响因子:
3.9
作者:
Nan X;Madden K;Richards A;Holt C;Wang MQ;Tracy K
通讯作者:
Tracy K
DOI:
10.1016/j.socscimed.2020.113638
发表时间:
2021-03
期刊:
Social science & medicine (1982)
影响因子:
--
作者:
Callaghan T;Moghtaderi A;Lueck JA;Hotez P;Strych U;Dor A;Fowler EF;Motta M
通讯作者:
Motta M
影响因子:
39.2
作者:
Fisher, Kimberly A.;Bloomstone, Sarah J.;Mazor, Kathleen M.
通讯作者:
Mazor, Kathleen M.
影响因子:
56.9
作者:
Britton, Tom;Ball, Frank;Trapman, Pieter
通讯作者:
Trapman, Pieter