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1.
Vaccine ; 40(42): 6035-6041, 2022 10 06.
Article in English | MEDLINE | ID: covidwho-2004587

ABSTRACT

Vaccine hesitancy remains a major barrier to ending the COVID-19 pandemic in the United States (U.S.) and an important target for communication interventions. Using longitudinal survey data, we examined whether baseline levels and changes in beliefs about the COVID-19 vaccines predicted change in vaccination intention/behaviour. Repeated measures were collected from a nationally representative sample of U.S. adults (n = 665) in July 2020 and April/June 2021. Linear regressions associated change in COVID-19 vaccination intention/behaviour with changes in beliefs about the COVID-19 vaccines' safety, effectiveness in protecting others from infection, and effectiveness in protecting oneself from infection. Changes in beliefs from T1 to T2 were significantly associated with change in vaccination outcomes for all belief types (safety B = 0.39, SE = 0.07; effectiveness for self B = 0.38, SE = 0.09; effectiveness for others B = 0.43, SE = 0.07). Cross-lagged models suggested a reciprocal causal relationship between pro-vaccine beliefs and vaccination intention/behaviour: Intention to get vaccinated at T1 predicted strengthened safety and effectiveness beliefs at T2. T1 effectiveness beliefs predicted T2 vaccination intention/behaviour, though T1 safety beliefs did not. Communication interventions highlighting the protective benefits of COVID-19 vaccines may be particularly successful in reducing vaccine hesitancy.


Subject(s)
COVID-19 Vaccines , COVID-19 , Adult , COVID-19/prevention & control , Humans , Intention , Longitudinal Studies , Pandemics/prevention & control , United States , Vaccination , Vaccine Efficacy
2.
Health Commun ; 36(1): 6-14, 2021 01.
Article in English | MEDLINE | ID: covidwho-939492

ABSTRACT

Wide-spread misinformation about the COVID-19 pandemic has presented challenges for communicating public health recommendations. Should campaigns to promote protective behaviors focus on debunking misinformation or targeting behavior-specific beliefs? To address this question, we examine whether belief in COVID-19 misinformation is directly associated with two behaviors (face mask wearing and social distancing), and whether behavior-specific beliefs can account for this association and better predict behavior, consistent with behavior-change theory. We conducted a nationally representative two-wave survey of U.S. adults from 5/26/20-6/12/20 (n = 1074) and 7/15/20-7/21//20 (n = 889; follow-up response 83%). Scales were developed and validated for COVID-19 related misinformation beliefs, social distancing and face mask wearing, and beliefs about the consequences of both behaviors. Cross-lagged panel linear regression models assessed relationships among the variables. While belief in misinformation was negatively associated with both face mask wearing (B = -.27, SE =.06) and social-distancing behaviors (B = -.46, SE =.08) measured at the same time, misinformation did not predict concurrent or lagged behavior when the behavior-specific beliefs were incorporated in the models. Beliefs about behavioral outcomes accounted for face mask wearing and social distancing, both cross-sectionally (B =.43, SE =.05; B =.63, SE =.09) and lagged over time (B =.20, SE = 04; B =.30, SE =.08). In conclusion, belief in COVID-19-related misinformation is less relevant to protective behaviors, but beliefs about the consequences of these behaviors are important predictors. With regard to misinformation, we recommend health campaigns aimed at promoting protective behaviors emphasize the benefits of these behaviors, rather than debunking unrelated false claims.


Subject(s)
COVID-19/prevention & control , Health Communication/standards , Health Knowledge, Attitudes, Practice , Masks/standards , Physical Distancing , Adult , COVID-19/epidemiology , COVID-19/psychology , Communicable Disease Control/methods , Communicable Disease Control/standards , Cross-Sectional Studies , Female , Health Behavior , Humans , Male , Middle Aged , Pandemics , Public Health , Risk Reduction Behavior , SARS-CoV-2 , Socioeconomic Factors , United States/epidemiology
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