Evidence map›Paper›PMID 37550145›Full record

ArticleVaccine2023

Individual and structural determinants of COVID-19 vaccine uptake in a marginalized community in the United States.

Jeanna Campbell, Amandeep Kaur, Danilo Gamino, Ellen Benoit, Brianna Amos, Liliane Windsor

Open access · greenAbstract read
In one paragraph

Article in Vaccine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
5.2field-weighted citation impact, top 4% of its field
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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  12. Determinants of COVID-19 Vaccine Uptake Among People Living with Human Immunodeficiency Virus.Journal of the International Association of Providers of AIDS Care
    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

6 authors at 3 institutions in 1 country.

Jeanna CampbellSchool of Social Work, University of Illinois Urbana-Champaign, 1010 W Nevada St, Urbana, IL 61801, United States. Electronic address: jeannac2@illinois.edu.
Amandeep KaurInterdisciplinary Health Sciences Institute, University of Illinois Urbana-Champaign, 901 W University Ave Ste 201 C-261, Urbana, IL 61801, United States.
Danilo GaminoNorth Jersey Community Research Initiative, 393 Central Ave, Newark, NJ 07103, United States.
Ellen BenoitNorth Jersey Community Research Initiative, 393 Central Ave, Newark, NJ 07103, United States.
Brianna AmosSilver School of Social Work, New York University, 1 Washington Square N, New York, NY 10003, United States.
Liliane WindsorSchool of Social Work, University of Illinois Urbana-Champaign, 1010 W Nevada St, Urbana, IL 61801, United States; North Jersey Community Research Initiative, 393 Central Ave, Newark, NJ 07103, United States.
University of Illinois Urbana-Champaign · USNorth Jersey Community Research Initiative · USNew York University · US

Funding

Optimization of a new adaptive intervention to increase COVID-19 testing among people at high risk in an urban communityR01MD010629 · NIMHD · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BENOIT, ELLEN, WINDSOR, LILIANE CAMBRAIA · 2019 to 2022
$2.4M
Community Wise: An innovative multi-level intervention to reduce alcohol and illicit drug useU01MD010629 · NIMHD · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BENOIT, ELLEN, WINDSOR, LILIANE CAMBRAIA · 2016 to 2018
$1.7M
COVID-19 Treatment Cascade Optimization StudyU01AI169469 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI BENOIT, ELLEN, HARPER, JOSEPH J. · 2022 to 2023
$1.6M
NIAID NIH HHS U01 AI169469NIMHD NIH HHS R01 MD010629NIMHD NIH HHS U01 MD010629
6 · The paper itself

Abstract

Socially and medically vulnerable groups (e.g., people 65 years or older, minoritized racial groups, non-telework essential workers, and people with comorbid conditions) experience barriers to COVID-19 prevention and treatment, increased burden of disease, and increased risk of death from COVID-19. Researchers are paying increased attention to social determinants of health (SDH) in explaining inequities in COVID-19-related health outcomes and rates of vaccine uptake. The purpose of the present manuscript is to identify clinically significant predictors of COVID-19 vaccine uptake among people who were socially and medically vulnerable to SARs-CoV-2 infection. Analysis was informed by the SDH framework and included a sample of 641 baseline surveys from participants in a clinical trial designed to increase COVID-19 testing. All participants were at high risk of developing COVID-19-related complications or dying from COVID-19. Following community-based participatory research principles, a well-established community collaborative board conducted every aspect of the study. Multiple logistic regressions were conducted to examine the relationships between individual and structural factors and COVID-19 vaccine uptake. In the final time adjusted model, we found that vaccine uptake was only predicted by specific individual-level factors: being 65 years and older, living with HIV/AIDS, and having previously received a flu vaccine or a COVID-19 test. Those reporting to believe in COVID-19-conspiracy theories were less likely to get the COVID-19 vaccine. More research is needed to identify predictors of vaccine uptake among people with comorbidities that make them more vulnerable to COVID-19 complications or death.

Indexed as

Acquired Immunodeficiency SyndromeCOVID-19COVID-19 TestingCOVID-19 VaccinesHumansSARS-CoV-2United StatesVaccinationCOVID-19 VaccinesCOVID-19Health disparitiesHealth inequitiesSocial determinants of healthVaccine hesitancyVaccine uptake

Identifiers

PMID37550145
PMCPMC10560547
OpenAlexW4385615038

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.