Evidence map›Paper›PMID 35925658›Full record

ArticleJMIR formative research2022

Comparing Web-Based Venues to Recruit Gay, Bisexual, and Other Cisgender Men Who Have Sex With Men to a Large HIV Prevention Service in Brazil: Evaluation Study.

Daniel Rodrigues Barros Bezerra, Cristina Moreira Jalil, Emilia Moreira Jalil, Lara Esteves Coelho, Eduardo Carvalheira Netto, Josias Freitas, Laylla Monteiro, Toni Santos, Cleo Souza, Brenda Hoagland and 4 more

Open access · goldAbstract read
In one paragraph

Article in JMIR formative research, 2022. 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
1.1field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
  2. Article
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  5. 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

14 authors at 1 institution in 1 country.

Daniel Rodrigues Barros BezerraFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0003-1353-2762
Cristina Moreira JalilFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0002-8845-3965
Emilia Moreira JalilFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0001-6017-5660
Lara Esteves CoelhoFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0001-7154-8151
Eduardo Carvalheira NettoFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0002-0645-5669
Josias FreitasFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0002-8580-4491
Laylla MonteiroFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0003-4907-0459
Toni SantosFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0002-4483-263X
Cleo SouzaFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0002-2769-081X
Brenda HoaglandFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0001-8210-3748
Valdilea Gonçalves VelosoFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0002-6622-3165
Beatriz GrinsztejnFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0003-3692-5155
Sandra Wagner CardosoFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0001-5230-0003
Thiago Silva TorresFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0002-2557-601X
Instituto Evandro Chagas · BR

Funding

The FIOCRUZ Therapeutic and Prevention HIV/AIDS Clinical Trials Unit (FioTrials)UM1AI069476 · NIAID · FUNDACAO OSWALDO CRUZ · PI BEATRIZ GRINSZTEJN · 2012 to 2026
$26.3M
The FIOCRUZ Therapeutic and Prevention HIV/AIDS Clinical Trials Unit (FioTrials)U01AI069476 · NIAID · FUNDACAO OSWALDO CRUZ · PI GRINSZTEJN, BEATRIZ · 2008 to 2011
$14.0M
NIAID NIH HHS U01 AI069476
6 · The paper itself

Abstract

backgroundInternet and mobile phones, widely available in Brazil, could be used to disseminate information about HIV prevention and to recruit gay, bisexual, and other cisgender men who have sex with men (MSM) to HIV prevention services. Data evaluating the characteristics of MSM recruited through different web-based strategies and estimating their cost and yield in the country are not available.

objectiveWe aimed to describe a web-based recruitment cascade, compare the characteristics of MSM recruited to a large HIV prevention service in Rio de Janeiro according to web-based venues, and estimate the cost per participant for each strategy.

methodsWe promoted advertisements on geosocial networking (GSN) apps (Hornet and Grindr) and social media (Facebook and Instagram) from March 2018 to October 2019. The advertisements invited viewers to contact a peer educator to schedule a visit at the HIV prevention service. Performance of web-based recruitment cascade was based on how many MSM (1) were reached by the advertisement, (2) contacted the peer educator, and (3) attended the service. We used chi-square tests to compare MSM recruited through GSN apps and social media. The estimated advertisement cost to recruit a participant was calculated by dividing total advertisement costs by number of participants who attended the service or initiated preexposure prophylaxis (PrEP).

resultsAdvertisement reached 1,477,344 individuals; 1270 MSM contacted the peer educator (86 contacts per 100,000 views)-564 (44.4%), 401 (31.6%) and 305 (24.0%)-through social media, Grindr, and Hornet. Among the 1270 individuals who contacted the peer educator, 36.3% (n=461) attended the service with similar proportion for each web-based strategy (social media: 203/564, 36.0%; Grindr: 152/401, 37.9%; and Hornet: 107/305, 35.1%). MSM recruited through GSN apps were older (mean age 30 years vs 26 years; P<.001), more frequently self-reported as White (111/247, 44.9% vs 62/191, 32.5%; P=.03), and had higher schooling level (postsecondary: 157/254, 61.8% vs 94/194, 48.5%; P=.007) than MSM recruited through social media. GSN apps recruited MSM with higher HIV risk as measured by PrEP eligibility (207/239, 86.6% vs 133/185, 71.9%; P<.001) compared with social media, but there was no difference in PrEP uptake between the two strategies (P=.22). The estimated advertisement costs per participant attending the HIV prevention service were US $28.36 for GSN apps and US $12.17 for social media. The estimated advertisement costs per participant engaging on PrEP were US $58.77 for GSN apps and US $27.75 for social media.

conclusionsSocial media and GSN app advertisements were useful to disseminate information on HIV prevention strategies and to recruit MSM to a large HIV prevention service in Brazil. Compared to GSN apps, social media advertisements were less expensive and reached more vulnerable and younger MSM. Digital marketing campaigns should use different and complementary web-based venues to reach a plurality of MSM.

Indexed as

BrazilHIVHIV preventionLatin Americamen who have sex with menpre-exposure prophylaxisPrEPsocial mediaweb-based recruitment strategies

Identifiers

PMID35925658
PMCPMC9389387
OpenAlexW4289841963

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.