Evidence map›Paper›PMID 37362395›Full record

ArticleAJPM focus2023

Racial, Ethnic, and Rural Disparities in US Veteran COVID-19 Vaccine Rates.

Ethan Bernstein, Eric C DeRycke, Ling Han, Melissa M Farmer, Lori A Bastian, Bevanne Bean-Mayberry, Brett Bade, Cynthia Brandt, Kristina Crothers, Melissa Skanderson and 6 more

Open access · goldAbstract read
In one paragraph

Article in AJPM focus, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it, 11 citations in OpenAlex.

  1. Racial and ethnic disparities in COVID-19 vaccination: a systematic review and meta-analysis.Archives of public health = Archives belges de sante publique · 2025
    Pooled it
  2. Pooled it
  3. Article
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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

16 authors at 5 institutions in 2 countries.

Ethan BernsteinSection of Pulmonary, Critical Care, and Sleep Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Eric C DeRyckePain Research, Informatics, Multi-morbidities, and Education Center, VA Connecticut Healthcare System.
Ling HanPain Research, Informatics, Multi-morbidities, and Education Center, VA Connecticut Healthcare System.
Melissa M FarmerVA Center for Study of Healthcare Innovation, Implementation and Policy (CSHIIP) VA Greater Los Angeles Healthcare System Los Angeles, CA.
Lori A BastianSection of General Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Bevanne Bean-MayberryVA Center for Study of Healthcare Innovation, Implementation and Policy (CSHIIP) VA Greater Los Angeles Healthcare System Los Angeles, CA.
Brett BadeSection of Pulmonary, Critical Care, and Sleep Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Cynthia BrandtPain Research, Informatics, Multi-morbidities, and Education Center, VA Connecticut Healthcare System.
Kristina CrothersVA Puget Sound Healthcare System, Seattle, WA.
Melissa SkandersonSection of General Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Christopher RuserSection of General Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Juliette SpelmanSection of General Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Isabel S BazanSection of Pulmonary, Critical Care, and Sleep Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Amy C JusticeSection of General Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Christopher T RentschSection of General Internal Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Kathleen M AkgünSection of Pulmonary, Critical Care, and Sleep Medicine, Yale University School of Medicine, New Haven, Connecticut, USA.
Yale University · USVA Connecticut Healthcare System · USCenter for the Study of Healthcare Provider Behavior · USUniversity of California, Los Angeles · USUniversity of Washington · US

Funding

Yale Study Support Suite (YES3): Dashboard and Web Portal Software Supporting Research Workflow through integrated, customizable REDCap External ModulesP30AG021342 · NIA · YALE UNIVERSITY · PI Denise Esserman · 2002 to 2026
$37.9M
Alcohol Associated Outcomes Among HIV+/- Aging VeteransU10AA013566 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2006 to 2010
$12.7M
Alcohol and Multisubstance Use in the Veterans Aging Cohort StudyU01AA020790 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$7.7M
Sex Disparities in Overall Response to ART Among HIV Infected IndividualsU24AA020794 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2011 to 2020
$5.5M
Chronic Lung Disease and COVID-19: Understanding Severity, Recovery and Rehabilitation Needs (LAUREL Study)I01RX003666 · VA · VA PUGET SOUND HEALTHCARE SYSTEM · PI CROTHERS, KRISTINA ANNE, TURNER, AARON P. · 2021 to 2025
–
NIAAA NIH HHS U01 AA020790NIAAA NIH HHS U10 AA013566NIAAA NIH HHS U24 AA020794NIA NIH HHS P30 AG021342RRD VA I01 RX003666
6 · The paper itself

Abstract

Background: Race, ethnicity, and rurality-related disparities in coronavirus disease 2019 (COVID-19) vaccine uptake have been documented in the United States (US). Objective: We determined whether these disparities existed among patients at the Department of Veterans Affairs (VA), the largest healthcare system in the US. Design Settings Participants Measurements: Using VA Corporate Data Warehouse data, we included 5,871,438 patients (9.4% women) with at least one primary care visit in 2019 in a retrospective cohort study. Each patient was assigned a single race/ethnicity, which were mutually exclusive, self-reported categories. Rurality was based on 2019 home address at the zip code level. Our primary outcome was time-to-first COVID-19 vaccination between December 15, 2020-June 15, 2021. Additional covariates included age (in years), sex, geographic region (North Atlantic, Midwest, Southeast, Pacific, Continental), smoking status (current, former, never), Charlson Comorbidity Index (based on ≥1 inpatient or two outpatient ICD codes), service connection (any/none, using standardized VA-cutoffs for disability compensation), and influenza vaccination in 2019-2020 (yes/no). Results: Compared with unvaccinated patients, those vaccinated (n=3,238,532; 55.2%) were older (mean age in years vaccinated=66.3, (standard deviation=14.4) vs. unvaccinated=57.7, (18.0), p<.0001)). They were more likely to identify as Black (18.2% vs. 16.1%, p<.0001), Hispanic (7.0% vs. 6.6% p<.0001), or Asian American/Pacific Islander (AA/PI) (2.0% vs. 1.7%, P<.0001). In addition, they were more likely to reside in urban settings (68.0% vs. 62.8, p<.0001). Relative to non-Hispanic White urban Veterans, the reference group for race/ethnicity-urban/rural hazard ratios reported, all urban race/ethnicity groups were associated with increased likelihood for vaccination except American Indian/Alaskan Native (AI/AN) groups. Urban Black groups were 12% more likely (Hazard Ratio (HR)=1.12 [CI 1.12-1.13]) and rural Black groups were 6% more likely to receive a first vaccination (HR=1.06 [1.05-1.06]) relative to white urban groups. Urban Hispanic, AA/PI and Mixed groups were more likely to receive vaccination while rural members of these groups were less likely (Hispanic: Urban HR=1.17 [1.16-1.18], Rural HR=0.98 [0.97-0.99]; AA/PI: Urban HR=1.22 [1.21-1.23], Rural HR=0.86 [0.84-0.88]). Rural White Veterans were 21% less likely to receive an initial vaccine compared with urban White Veterans (HR=0.79 [0.78-0.79]). AI/AN groups were less likely to receive vaccination regardless of rurality: Urban HR=0.93 [0.91-0.95]; AI/AN-Rural HR=0.76 [0.74-0.78]. Conclusions: Urban Black, Hispanic, and AA/PI Veterans were more likely than their urban White counterparts to receive a first vaccination; all rural race/ethnicity groups except Black patients had lower likelihood for vaccination compared with urban White patients. A better understanding of disparities and rural outreach will inform equitable vaccine distribution.

Indexed as

COVID-19Health DisparitiesRuralityVaccineVeterans

Identifiers

PMID37362395
PMCPMC10038675
OpenAlexW4360819975

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.