Evidence map›Paper›PMID 34702652›Full record

ArticleWomen's health issues : official publication of the Jacobs Institute of Women's Health

COVID-19 Infection in the Veterans Health Administration: Gender-specific Racial and Ethnic Differences.

Dawn M Upchurch, Michelle S Wong, Anita H Yuan, Taona P Haderlein, Juliette McClendon, Alicia Christy, Donna L Washington

Open access · bronzeAbstract read
In one paragraph

Article in Women's health issues : official publication of the Jacobs Institute of Women's Health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 22% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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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

7 authors at 5 institutions in 1 country.

Dawn M UpchurchDepartment of Community Health Sciences, UCLA Fielding School of Public Health, Los Angeles, California. Electronic address: upchurch@ucla.edu.
Michelle S WongVA HSR&D Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Los Angeles, California.
Anita H YuanVA HSR&D Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Los Angeles, California.
Taona P HaderleinVA HSR&D Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Los Angeles, California.
Juliette McClendonNational Center for PTSD, Women's Health Science Division, VA Boston Health Care System, Boston, Massachusetts; Department of Psychiatry, Boston University School of Medicine, Boston, Massachusetts.
Alicia ChristyWomen's Health Services, Veterans Health Administration, Washington, District of Columbia.
Donna L WashingtonVA HSR&D Center for the Study of Healthcare Innovation, Implementation & Policy (CSHIIP), VA Greater Los Angeles Healthcare System, Los Angeles, California; Division of General Internal Medicine and Health Services Research, Department of Medicine, University of California Los Angeles Geffen School of Medicine, Los Angeles, California.
Center for the Study of Healthcare Provider Behavior · USBoston University · USUCLA Health · USUniversity of California, Los Angeles · USVeterans Health Administration · US

Funding

Scientific and Technical CoreP2CHD041022 · NICHD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Martha Jane Bailey · 2016 to 2026
$6.9M
HSRD VA I01 HX002515HSRD VA I50 HX001953NICHD NIH HHS P2C HD041022
6 · The paper itself

Abstract

purposeRacial/ethnic minoritized groups, women, and economically disadvantaged groups are disproportionately affected by the COVID-19 pandemic. We investigated racial/ethnic differences by gender in correlates of COVID-19 infection among veterans seeking health care services at the Veterans Health Administration. Little is known about gender-specific factors associated with infection among veterans. This study seeks to fill this gap.

methodsThe sample was veterans with results from a COVID-19 test (polymerase chain reaction) conducted at Veterans Health Administration facilities between March 1, 2020, and August 5, 2020, and linked to the Centers for Disease Control and Prevention Social Vulnerability Index data (39,223 women and 316,380 men). Bivariate, multivariate logistic, and predicted probability analyses were conducted. All analyses were stratified by gender.

resultsSimilar percentages of women and men tested positive for COVID-19 (9.6% vs. 10.0%). In multivariate analysis, compared with non-Hispanic White women, American Indian/Alaska Native, Black, and Hispanic women all had significantly higher odds of infection. Similar racial/ethnic differences were found for men. Both older men and women (>40 years) had lower odds of infection, but the age cut points differed (40 for women, 55 for men). Men 80 years and older had a higher odds than those aged less than 40 years of age. For men, but not for women, being employed (vs. unemployed) was associated with an increased odds of infection, and having comorbidities was associated with decreased odds. There were significant differences within and across gender-by-race/ethnicity in infection, after adjusting for covariates.

conclusionsAmerican Indian/Alaska Native, Hispanic, and Black women and men veterans are disproportionately impacted by COVID-19 infection. Widespread testing and tracking, education, and outreach regarding COVID-19 mitigation and vaccination efforts are recommended.

Indexed as

COVID-19VeteransAdultAgedAged, 80 and overBlack or African AmericanEthnicityFemaleHumansMaleMiddle AgedPandemicsRacial GroupsSocial VulnerabilityUnited StatesVeterans Health

Identifiers

PMID34702652
PMCPMC8486675
OpenAlexW3204181276

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.