Evidence map›Paper›PMID 36372280›Full record

ArticlePreventive medicine2023

Explaining demographic differences in COVID-19 vaccination stage in the United States - April-May 2021.

Qian Huang, Neetu Abad, Kimberly E Bonner, Brittney Baack, Robert Petrin, Megan A Hendrich, Zachary Lewis, Noel T Brewer

Abstract read
In one paragraph

Article in Preventive medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Qian HuangDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA. Electronic address: qhuang@unc.edu.
Neetu AbadCenters for Disease Control and Prevention, Atlanta, GA, USA.
Kimberly E BonnerCenters for Disease Control and Prevention, Atlanta, GA, USA.
Brittney BaackCenters for Disease Control and Prevention, Atlanta, GA, USA.
Robert PetrinIpsos US Public Affairs, Washington, DC, USA.
Megan A HendrichIpsos US Public Affairs, Washington, DC, USA.
Zachary LewisIpsos US Public Affairs, Washington, DC, USA.
Noel T BrewerDepartment of Health Behavior, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA; Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 vaccine coverage in the US has marked demographic and geographical disparities, but few explanations exist for them. Our paper aimed to identify behavioral and social drivers that explain these vaccination disparities. Participants were a national probability sample of 3562 American adults, recruited from the Ipsos KnowledgePanel. Participants completed an online survey in spring 2021, when COVD-19 vaccination was available for higher-risk groups but not yet available to all US adults. The survey assessed COVID-19 vaccination stage (intentions and vaccine uptake), constructs from the Increasing Vaccination Model (IVM) domains (thinking and feeling, social processes, and direct behavior change), self-reported exposure to COVID-19 vaccine information, and demographic characteristics. Analyses used multiple imputation to address item nonresponse and linear regressions to conduct mediation analyses. Higher COVID-19 vaccination stage was strongly associated with older age, liberal political ideology, and higher income in adjusted analyses (all p < .001). Vaccination stage was more modestly associated with urbanicity, white race, and Hispanic ethnicity (all p < .05). Some key mediators that explained more than one-third of demographic differences in vaccination stage were perceived vaccine effectiveness, social norms, and recommendations from family and friends across most demographic characteristics (all p < .05). Other mediators included safety concerns, trust, altruism, provider recommendation, and information seeking. Access to vaccination, barriers to vaccination, and self-efficacy explained few demographic differences. One of the most reliable explanations for demographic differences in COVID-19 vaccination stage is social processes, including social norms, recommendations, and altruism. Interventions to promote COVID-19 vaccination should address social processes and other domains in the IVM.

Indexed as

COVID-19AdultCOVID-19 VaccinesEthnicityFriendsHumansUnited StatesVaccinationCOVID-19 VaccinesCOVID-19 vaccinationDemographic differencesMediation analysisRecommendationsSocial norms

Identifiers

PMID36372280
PMCPMC9650505

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.