Evidence map›Paper›PMID 39292319›Full record

ArticleAIDS and behavior2024

Associations of County-Level Social Determinants of Health with COVID-19 Related Hospitalization Among People with HIV: A Retrospective Analysis of the U.S. National COVID Cohort Collaborative (N3C).

Jessica Y Islam, Eric Hurwitz, Dongmei Li, Marlene Camacho-Rivera, Jing Sun, Sandra Safo, Jennifer M Ross, Kenneth Wilkins, Shukri Hassan, Elaine L Hill and 6 more

Abstract read
In one paragraph

Article in AIDS and behavior, 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
–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

5 citing papers in PubMed.

  1. 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.

Jessica Y Islam *Department of Cancer Epidemiology, H. Lee Moffitt Cancer Center and Research Institute, MRC - CANCONT, 12902 USF Magnolia Drive, Tampa, FL, 33612, USA. Jessica.islam@moffitt.org.ORCID http://orcid.org/0000-0002-3690-3848
Eric Hurwitz *Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.ORCID http://orcid.org/0000-0002-6581-7754
Dongmei LiDepartments of Clinical and Translational Research, Obstetrics and Gynecology, and Public Health Sciences, School of Medicine and Dentistry, University of Rochester Medical Center, Rochester, NY, USA.ORCID http://orcid.org/0000-0001-9140-2483
Marlene Camacho-RiveraDepartment of Community Health Sciences, SUNY Downstate Medical Center, Brooklyn, NY, USA.ORCID http://orcid.org/0000-0003-2343-2941
Jing SunDepartment of Epidemiology, Johns Hopkins School of Public Health, Baltimore, MD, USA.ORCID http://orcid.org/0000-0003-3741-0962
Sandra SafoDepartment of Biostatistics and Health Data Science, School of Public Health, University of Minnesota, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0001-9593-4778
Jennifer M RossDepartment of Medicine, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-5677-939X
Kenneth WilkinsBiostatistics Program, Office of the Director, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, MD, USA.
Shukri HassanDepartments of Medicine and Global Health, University of Washington, Seattle, WA, USA.
Elaine L HillDepartment of Public Health Sciences, University of Rochester Medical Center, Rochester, NY, USA.ORCID http://orcid.org/0000-0003-2494-317X
Bohdan NosykFaculty of Health Sciences, Simon Fraser University, Burnaby, BC, Canada.ORCID http://orcid.org/0000-0003-2513-3718
Cara VarleyDepartment of Medicine, Division of Infectious Diseases, Oregon Health & Science University, Portland, OR, USA.
Nada FadulDepartment of Internal Medicine, University of Nebraska Medical Center, Omaha, NE, USA.ORCID http://orcid.org/0000-0001-5022-9063
Charisse Madlock-BrownDepartment of Informatics, College of Nursing, The University of Iowa, Iowa City, IA, USA.ORCID http://orcid.org/0000-0002-3647-1045
Rena C PatelDepartments of Medicine and Global Health, University of Washington, Seattle, WA, USA.ORCID http://orcid.org/0000-0001-9893-5856
N3C consortium

Funding

VISUAL INDICES OF NEUROTOXICITYP30ES001247 · NIEHS · UNIVERSITY OF ROCHESTER · PI Martha Susiarjo · 1985 to 2026
$42.8M
The tale of two pandemics: Understanding racial and ethnic disparities from the collision of HIV and COVID-19 in the U.S.R01MH131542 · NIMH · UNIVERSITY OF WASHINGTON · PI Rena Chiman Patel · 2022 to 2026
$3.1M
Collaboration on HIV and AgingResearch through the Study of MitochondriaK01AI162247 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Jing Sun · 2022 to 2026
$677k
NIAID NIH HHS K01 AI162247NIEHS NIH HHS P30 ES001247NIMH NIH HHS R01 MH131542NIMH NIH HHS R01MH131542
6 · The paper itself

Abstract

Individually, the COVID-19 and HIV pandemics have differentially impacted minoritized groups due to the role of social determinants of health (SDoH) in the U.S. Little is known how the collision of these two pandemics may have exacerbated adverse health outcomes. We evaluated county-level SDoH and associations with hospitalization after a COVID-19 diagnosis among people with (PWH) and without HIV (PWOH) by racial/ethnic groups. We used the U.S. National COVID Cohort Collaborative (January 2020-November 2023), a nationally-sampled electronic health record repository, to identify adults who were diagnosed with COVID-19 with HIV (n = 22,491) and without HIV (n = 2,220,660). We aggregated SDoH measures at the county-level and categorized racial/ethnic groups as Non-Hispanic (NH) White, NH-Black, Hispanic/Latinx, NH-Asian and Pacific Islander (AAPI), and NH-American Indian or Alaskan Native (AIAN). To estimate associations of county-level SDoH with hospitalization after a COVID-19 diagnosis, we used multilevel, multivariable logistic regressions, calculating adjusted relative risks (aRR) with 95% confidence intervals (95% CI). COVID-19 related hospitalization occurred among 11% of PWH and 7% of PWOH, with the highest proportion among NH-Black PWH (15%). In evaluating county-level SDoH among PWH, we found higher average household size was associated with lower risk of COVID-19 related hospitalization across racial/ethnic groups. Higher mean commute time (aRR: 1.76; 95% CI 1.10-2.62) and higher proportion of adults without health insurance (aRR: 1.40; 95% CI 1.04-1.84) was associated with a higher risk of COVID-19 hospitalization among NH-Black PWH, however, NH-Black PWOH did not demonstrate these associations. Differences by race and ethnicity exist in associations of adverse county-level SDoH with COVID-19 outcomes among people with and without HIV in the U.S.

Indexed as

COVID-19HIV InfectionsHospitalizationSocial Determinants of HealthAdultAgedEthnicityFemaleHealth Status DisparitiesHumansMaleMiddle AgedRacial GroupsRetrospective StudiesSocioeconomic FactorsUnited StatesAccess to careArea-levelCounty-levelCOVID-19 hospitalizationHIVPandemicRace and ethnicitySARS-CoV-2 infectionSocial determinants of health

Identifiers

PMID39292319
PMCPMC11469976

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.