Evidence map›Paper›PMID 35377321›Full record

ArticleJMIR public health and surveillance2022

Enablers and Barriers to HIV Services for Gay and Bisexual Men in the COVID-19 Era: Fusing Data Sets from Two Global Online Surveys Via File Concatenation With Adjusted Weights.

George Ayala, Sonya Arreola, Sean Howell, Thomas J Hoffmann, Glenn-Milo Santos

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% 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, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
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 2 institutions in 1 country.

George AyalaAlameda County Public Health Department, San Leandro, CA, United States.ORCID 0000-0003-2255-7582
Sonya ArreolaArreola Research, San Francisco, CA, United States.ORCID 0000-0003-3485-4760
Sean HowellHornet, San Francisco, CA, United States.ORCID 0000-0001-9703-8950
Thomas J HoffmannDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0001-6893-4449
Glenn-Milo SantosDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, United States.ORCID 0000-0003-1009-5317
University of California, San Francisco · USAlameda County Public Health Department · 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
NIMH NIH HHS R25 MH067127
6 · The paper itself

Abstract

backgroundGay and bisexual men are 26 times more likely to acquire HIV than other adult men and represent nearly 1 in 4 new HIV infections worldwide. There is concern that the COVID-19 pandemic may be complicating efforts to prevent new HIV infections, reduce AIDS-related deaths, and expand access to HIV services. The impact of the COVID-19 pandemic on gay and bisexual men's ability to access services is not fully understood.

objectiveThe aim of this study was to understand access to HIV services at the start of the COVID-19 pandemic.

methodsOur study used data collected from two independent global online surveys conducted with convenience samples of gay and bisexual men. Both data sets had common demographic measurements; however, only the COVID-19 Disparities Survey (n=13,562) collected the outcomes of interest (HIV services access at the height of the first COVID-19 wave) and only the Global Men's Health and Rights Survey 4 (GMHR-4; n=6188) gathered pre-COVID-19 pandemic exposures/covariates of interest (social/structural enablers of and barriers to HIV services access). We used data fusion methods to combine these data sets utilizing overlapping demographic variables and assessed relationships between exposures and outcomes. We hypothesized that engagement with the gay community and comfort with one's health care provider would be positively associated with HIV services access and negatively associated with poorer mental health and economic instability as the COVID-19 outbreaks took hold. Conversely, we hypothesized that sexual stigma and experiences of discrimination by a health care provider would be negatively associated with HIV services access and positively associated with poorer mental health and economic instability.

resultsWith 19,643 observations after combining data sets, our study confirmed hypothesized associations between enablers of and barriers to HIV prevention, care, and treatment. For example, community engagement was positively associated with access to an HIV provider (regression coefficient=0.81, 95% CI 0.75 to 0.86; P<.001), while sexual stigma was negatively associated with access to HIV treatment (coefficient=-1.39, 95% CI -1.42 to -1.36; P<.001).

conclusionsHIV services access for gay and bisexual men remained obstructed and perhaps became worse during the first wave of the COVID-19 pandemic. Community-led research that utilizes novel methodological approaches can be helpful in times of crisis to inform urgently needed tailored responses that can be delivered in real time. More research is needed to understand the full impact COVID-19 is having on gay and bisexual men worldwide.

Indexed as

COVID-19Health Services AccessibilityHIV InfectionsSexual and Gender MinoritiesAdultBisexualityDelivery of Health CareHomosexuality, MaleHumansMalePandemicsCOVID-19gay and bisexual menHIV servicessexual health

Identifiers

PMID35377321
PMCPMC9239571
OpenAlexW4226396055

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.