Evidence map›Paper›PMID 38528490›Full record

ArticleBMC public health2024

Neighborhood-level factors associated with COVID-19 vaccination rates: a case study in Chicago.

Grace Keegan, Mengqi Zhu, Maria Paz, Hyojung Kang, Ajanta Patel, Arshiya A Baig

Open access · goldAbstract read
In one paragraph

Article in BMC public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. World Pneumonia Day: Why Do We Still Need It?American journal of respiratory and critical care medicine · 2024
    Article
  5. 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.

Grace KeeganPritzker School of Medicine, University of Chicago, 5841 S. Maryland Ave. MC 2007, 60637, Chicago, IL, USA. gkeegan@uchicago.edu.
Mengqi ZhuDepartment of Medicine, Section of General Internal Medicine, University of Chicago, Chicago, USA.
Maria PazPritzker School of Medicine, University of Chicago, 5841 S. Maryland Ave. MC 2007, 60637, Chicago, IL, USA.
Hyojung KangDepartment of Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL, USA.
Ajanta PatelChicago Department of Public Health, Chicago, IL, USA.
Arshiya A BaigDepartment of Medicine, Section of General Internal Medicine, University of Chicago, Chicago, USA.
University of Chicago · USChicago Department of Public Health · USUniversity of Illinois Urbana-Champaign · US

Funding

Research Design, Data, and Analytics CoreP30DK092949 · NIDDK · UNIVERSITY OF CHICAGO · PI Ronald T. Ackermann, MARSHALL H CHIN · 2011 to 2026
$10.0M
NIDDK NIH HHS P30 DK092949
6 · The paper itself

Abstract

introductionChicago's deeply-rooted racial and socioeconomic residential segregation is a pattern mirrored in other major cities, making it a prototype for studying the uptake of public health interventions across the US. Residential segregation is related to availability of primary care, sense of community, and trust in the healthcare system, components which are essential in the response to crises like Covid-19 in which vaccine rollout was primarily community-based. We aimed to evaluate the association between rates of access to primary care and community-belonging with Covid-19 vaccination within Chicago's neighborhoods.

methodsData from Chicago Department of Public Health (12/2020-6/2022) on Covid-19 vaccination rates, race/ethnicity (% Black and % Hispanic/Latinx residents), age (% >65), gender (% female), socioeconomic status (% below the federal poverty line), access to needed care rate, and rate of self-reported sense of community-belonging on the neighborhood level were analyzed. Linear mixed models (LMMs) were used to study the impact of variables on vaccination; each neighborhood was added as a random effect to account for with-community association.

resultsThe average Covid-19 vaccination rates across Chicago's neighborhoods was 79%, ranging from 37 to 100%, with median 81%. We found that Covid-19 vaccination rates were positively correlated with access to needed care (p < 0.001) and community-belonging (p < 0.001). Community areas that had lower vaccination rates had greater percentage of Black residents (p < 0.0001) and greater poverty rates (p < 0.0001). After adjusting for poverty, race, gender and age in the models, the association between vaccination rates and access to care or community-belonging were no longer significant, but % Black residents and poverty remained significant.

conclusionsThough access to needed primary care and community-belonging are correlated with vaccination rates, this association was not significant when controlling for demographic factors. The association between poverty, race and vaccination status remained significant, indicating that socioeconomic and racial disparities across Chicago drive Covid-19 vaccine recommendation adherence regardless of care access. Understanding how poverty, and its intersectional relation to race and primary care access, affects vaccination should be a priority for public health efforts broadly.

Indexed as

COVID-19COVID-19 VaccinesAgedBlack or African AmericanChicagoFemaleHispanic or LatinoHumansMaleVaccinationCOVID-19 VaccinesCOVID-19Health disparitiesPrimary careVaccinationVaccine hesitancy

Identifiers

PMID38528490
PMCPMC10962191
OpenAlexW4393155963

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.