Dataset Information

Mistrust in public health institutions is a stronger predictor of vaccine hesitancy and uptake than Trust in Trump.

ABSTRACT:

Study goal

This study examines the sources of COVID-19 vaccine hesitancy and refusal in Americans by decomposing different forms of government trust/mistrust including trust in Trump and mistrust in public health institutions.

Methods

Using linear panel regression models with data from 5,446 US adults (37,761 responses) from the Understanding America Survey, the likelihoods of vaccine hesitancy, uptake, and trust in various information sources were examined.

Results and conclusion

We find that the likelihoods of hesitancy and having negative perceptions of COVID-19 vaccines were consistently much higher among PHI mistrusters, showing even a stronger hesitancy than Trump trusters. This tendency has persisted over time, resulting in only 49% of PHI mistrusters having been vaccinated in the most recent survey wave. However, a large portion of PHI mistrusters still trusted physicians, family, and friends. These findings suggest that mistrust in PHIs is a salient predictor of vaccine hesitancy and reduced uptake on its own, which is compounded by trust in Trump.

SUBMITTER: Choi Y

PROVIDER: S-EPMC9557136 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

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Publications

Mistrust in public health institutions is a stronger predictor of vaccine hesitancy and uptake than Trust in Trump.

Choi Yongjin Y Fox Ashley M AM

Social science & medicine (1982) 20221013

<h4>Study goal</h4>This study examines the sources of COVID-19 vaccine hesitancy and refusal in Americans by decomposing different forms of government trust/mistrust including trust in Trump and mistrust in public health institutions.<h4>Methods</h4>Using linear panel regression models with data from 5,446 US adults (37,761 responses) from the Understanding America Survey, the likelihoods of vaccine hesitancy, uptake, and trust in various information sources were examined.<h4>Results and conclus ...[more]

PMID: 36332532

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Project description:The central focus of this research is the fast and crucial impact of the COVID-19 pandemic on a crucial psychological, relational, and political construct: trust. We investigate how the consequences of the pandemic, in terms of healthcare, state intervention and impositions, and daily life and habits, have affected trust in public institutions in Italy, at the time when the contagion was rapidly spreading in the country (early March 2020). In this survey, addressed to 4260 Italian citizens, we analyzed and measured such impact, focusing on various aspects of trust. This attention to multiple dimensions of trust constitutes the key conceptual advantage of this research, since trust is a complex and layered construct, with its own internal dynamics. In particular, the analysis focuses on how citizens attribute trust to Public Authorities, in relation to the management of the health crisis: with regard to the measures and guidelines adopted, the purposes pursued, the motivations that determine them, their capacity for involvement, and their effectiveness for the containment of the virus itself. A pandemic creates a bilateral need for trust, both in Public Authorities (they have to rely on citizens' compliance and must try to promote and maintain their trust in order to be effective) and in citizens, since they need to feel that somebody can do something, can (has the power to) protect them, to act at the needed collective level. We are interested to explore how this need for trust affects the attributional process, regarding both attitudes and the corresponding decisions and actions. The most striking result of this survey is the very high level of institutional trust expressed by respondents: 75% of them trust Italian public authorities to be able to deal with the COVID-19 emergency. This is in sharp contrast with the relatively low levels of institutional trust characteristic of Italy, both historically and in recent surveys. Moreover, the survey allowed the discrimination of several potential predictors for trust, thus emphasizing factors that, during this crisis, are exhibiting an anomalous impact on trust.

Dataset Information

Mistrust in public health institutions is a stronger predictor of vaccine hesitancy and uptake than Trust in Trump.

Study goal

Methods

Results and conclusion

Publications

Mistrust in public health institutions is a stronger predictor of vaccine hesitancy and uptake than Trust in Trump.

Similar Datasets

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