Evidence map›Paper›PMID 38932300›Full record

ArticleVaccines2024

COVID-19 Vaccine Motivation and Hesitancy among a Sample of African American, Afro-Caribbean, and African Respondents in the United States.

Shauna K Elbers, Denise A Vaughan, Yordanos M Tiruneh

Abstract read
In one paragraph

Article in Vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

3 authors.

Shauna K ElbersSchool of Interdisciplinary Arts and Sciences, University of Washington, Bothell, WA 98011, USA.ORCID 0000-0003-0592-378X
Denise A VaughanSchool of Interdisciplinary Arts and Sciences, University of Washington, Bothell, WA 98011, USA.
Yordanos M TirunehDepartment of Preventive Medicine and Population Health, School of Medicine, University of Texas at Tyler, Tyler, TX 75708, USA.ORCID 0000-0001-9296-9908

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the motivations and decisions behind COVID-19 vaccine acceptance is crucial for designing targeted public health interventions to address vaccine hesitancy. We conducted a qualitative analysis to explore COVID-19 vaccine acceptance among diverse ethnic subgroups of Black Americans in the United States. This study investigates the 2021-2022 responses of 79 African American, Afro-Caribbean, and African respondents over the age of 18 in Washington State and Texas. Respondents were asked "Do you plan to get the COVID-19 vaccination?" Qualitative responses were analyzed by content category and ethnic subgroup. Of the 79 responses, 60 expressed favorable perceptions, 16 expressed unfavorable perceptions, and 3 expressed neutral perceptions. Dominant categories among participants in favor of the vaccine included personal health (26), concern for health of family/or community members (13), and desire to protect others (11). Among the 42 vaccinated African American respondents, the primary motivation was personal health (20). The 12 unvaccinated African American respondents cited fear of side effects as their dominate motivation. Caribbean respondents cited family or elders as motivation for their decision. African respondents were nearly unanimous in taking the vaccine (13/16), citing trust in health care, protecting friends and family, and personal health as reasons. Community and personal relationships were critical decision-making factors in accepting the COVID-19 vaccine, with African Americans having the strongest hesitancy.

Indexed as

AfricanBlackCaribbeanCOVIDvaccination

Identifiers

PMID38932300
PMCPMC11209273

What OpenQuestion holds

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Registered trials

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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.