Evidence map›Paper›PMID 34518208›Full record

ArticleBMJ global health2021

Prevalence and associations of COVID-19 testing in an online sample of transgender and non-binary individuals.

Arjee Restar, Henri M Garrison-Desany, Kellan E Baker, Tyler Adamson, Sean Howell, Stefan David Baral, Don Operario, S Wilson Beckham

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Arjee RestarDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA arestar1@jhmi.edu.ORCID 0000-0003-2992-8198
Henri M Garrison-DesanyDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Kellan E BakerDepartment of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Tyler AdamsonDepartment of Health Policy and Management, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Sean HowellHornet, San Francisco, California, USA.
Stefan David BaralDepartment of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Don OperarioDepartment of Behavioral and Social Science, Brown University School of Public Health, Providence, Rhode Island, USA.
S Wilson BeckhamDepartment of Health, Behavior and Society, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Johns Hopkins University · USBrown University · US

Funding

Training Program for Scientists Conducting Research to Reduce HIV Health DisparitR25MH067127 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Emily A Arnold, Torsten Brian Neilands · 2003 to 2026
$5.4M
Johns Hopkins HIV Epidemiology and Prevention Sciences Training ProgramT32AI102623 · NIAID · JOHNS HOPKINS UNIVERSITY · PI Shruti H Mehta · 2013 to 2026
$5.3M
Preferences for PrEP in Tanzanian Women at Heightened Risk of HIV InfectionK01MH114715 · NIMH · JOHNS HOPKINS UNIVERSITY · PI COLE, SAM WILSON · 2017 to 2021
$732k
NIAID NIH HHS T32 AI102623NIMH NIH HHS K01 MH114715NIMH NIH HHS R25 MH067127
6 · The paper itself

Abstract

backgroundTesting for COVID-19 and linkage to services is fundamental to successful containment and control of transmission. Yet, knowledge on COVID-19 testing among transgender and non-binary communities remains limited.

methodsBetween October 2020 and November 2020, we examined the prevalence and associations of COVID-19 testing in an online sample of transgender and non-binary people (n=536). Multivariable hierarchical logistic regression analyses examined associations between COVID-19 testing and participants' sociodemographic, mental health, substance use, gender affirmation, economic changes and healthcare experiences.

resultsPrevalence of COVID-19 testing in this sample was 35.5% (n=190/536). In the final model, transgender and non-binary participants from upper socioeconomic income background and Europe, who reported having active alcohol use disorder, limited access to gender-affirming surgery, had more than 20% reduction in income, and experienced mistreatment in a health facility due to gender identity had significantly increased odds of COVID-19 testing (all p<0.05); those who reported recent tobacco use had significantly lower odds of COVID-19 testing (p=0.007).

conclusionsThese findings highlight structural disparities in COVID-19 testing and reinforce the importance of increasing testing strategies for transgender and non-binary populations.

Indexed as

COVID-19Transgender PersonsCOVID-19 TestingCross-Sectional StudiesFemaleGender IdentityHumansMalePrevalenceSARS-CoV-2COVID-19cross-sectional surveypublic health

Identifiers

PMID34518208
PMCPMC8438577
OpenAlexW3199433849

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.