Evidence map›Paper›PMID 36472872›Full record

ArticleJAMA network open2022

Race and Ethnicity and Sex Variation in COVID-19 Mortality Risks Among Adults Experiencing Homelessness in Los Angeles County, California.

Natalie A C Porter, Hannah K Brosnan, Alicia H Chang, Benjamin F Henwood, Randall Kuhn

Open access · goldAbstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
5.6field-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, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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

5 authors at 3 institutions in 1 country.

Natalie A C PorterDepartment of Community Health Sciences, Fielding School of Public Health, University of California, Los Angeles.
Hannah K BrosnanLos Angeles Department of Public Health, Los Angeles, California.
Alicia H ChangLos Angeles Department of Public Health, Los Angeles, California.
Benjamin F HenwoodDworak-Peck School of Social Work, University of Southern California, Los Angeles.
Randall KuhnDepartment of Community Health Sciences, Fielding School of Public Health, University of California, Los Angeles.
Los Angeles County Department of Public Health · USUniversity of California, Los Angeles · USUniversity of Southern California · US

Funding

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

Abstract

Importance: Few studies have used precise age-specific data to construct age-standardized estimates of the relative risks (RRs) of COVID-19 mortality for people experiencing homelessness (PEH) vs the general population, and none to date has addressed race and ethnicity and sex variations in COVID-19 mortality among PEH with COVID-19 infection. Objective: To measure age-standardized mortality rate ratios for PEH vs the general population overall and by sex and race and ethnicity. Design, Setting, and Participants: In this cross-sectional study, crude and age-specific COVID-19 mortality rates per 100 000 people were calculated using 5-year age groups and standardized mortality ratios for PEH and the general population aged 25 years and older, assessing differences by race and ethnicity and sex, from January 1, 2020, to November 1, 2021. Mortality and population estimates came from COVID-19 mandatory case reporting conducted by the Los Angeles County Department of Public Health, the annual point-in-time homeless count, and the US Census. Main Outcomes and Measures: The main outcome was COVID-19 deaths sourced from clinician reports, death certificates, medical examiner reports, and vital records deaths. PEH status was determined using the US Department of Housing and Urban Development definitions for homelessness at the time of COVID-19 diagnosis or symptom onset. Results: The study population included 25 441 deaths among an estimated 6 382 402 general population individuals and 256 deaths among an estimated 52 015 PEH. The race and ethnicity of the PEH sample was as follows: 15 539 Black (29.9%), 18 057 Hispanic (34.7%), 14 871 female (28.6%), 37 007 male (71.3%), and 3380 aged 65 years or older (6.5%), compared with the estimated general population of 6 382 402, which was 591 003 Black (9.3%), 2 854 842 Hispanic (44.7%), 3 329 765 female (52.2%), 3 052 637 male (47.8%), and 1 190 979 aged 65 years or older (18.7%). Crude death rates were 0.49% for PEH and 0.40% for the general population, but PEH experienced age-specific COVID-19 mortality risk 2.35 (95% CI, 2.08-2.66) times higher than the general population. There was significant risk associated with PEH status compared with their counterparts in the general population for Black PEH (RR, 1.69; 95% CI, 1.31-2.18), Hispanic PEH (RR, 2.34; 95% CI, 1.96-2.79), White PEH (RR, 8.33; 95% CI, 6.37-10.88), female PEH (RR, 3.39; 95% CI, 2.56-4.48), and male PEH (RR, 1.74; 95% CI, 1.52-2.00). Conclusions and Relevance: This cross-sectional study of COVID-19 mortality among PEH with COVID-19 infection provides evidence suggesting excess risk of age-adjusted COVID-19 mortality among PEH compared with the general population. This study furthers understanding of the intersectional association between homelessness and race and ethnicity, as higher levels of mortality but narrower racial disparities among PEH than in the general population were observed.

Indexed as

COVID-19COVID-19 TestingCaliforniaCross-Sectional StudiesFemaleHumansMaleSocial Problems

Identifiers

PMID36472872
PMCPMC9856229
OpenAlexW4311649138

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.