Evidence map›Paper›PMID 27710085›Full record

ArticleAIDS education and prevention : official publication of the International Society for AIDS Education2016

Using Online Settings to Identify Gay and Bisexual Men Willing to Take or With Experience Taking PrEP: Implications for Researchers and Providers.

Christian Grov, H Jonathon Rendina, Ruben Jimenez, Jeffrey T Parsons

Open access · greenAbstract read
In one paragraph

Article in AIDS education and prevention : official publication of the International Society for AIDS Education, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.1field-weighted citation impact, top 9% 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

17 citing papers in PubMed, 30 citations in OpenAlex.

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  8. Development and Validation of the Community PrEP-Related Stigma Scale (Community-PSS).AIDS education and prevention : official publication of the International Society for AIDS Education · 2021
    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

4 authors at 2 institutions in 1 country.

Christian GrovDepartment of Community Health and Social Science, City University of New York (CUNY) Graduate School of Public Health and Health Policy, New York, New York.
H Jonathon RendinaCenter for HIV/AIDS Educational Studies and Training (CHEST), New York, New York.
Ruben JimenezCenter for HIV/AIDS Educational Studies and Training (CHEST), New York, New York.
Jeffrey T ParsonsCenter for HIV/AIDS Educational Studies and Training (CHEST), New York, New York.
AIDS Service Center of New York City · USThe Graduate Center, CUNY · US

Funding

Efficacy of Internet-based HIV preventionR01DA035145 · NIDA · NORTHWESTERN UNIVERSITY AT CHICAGO · PI MUSTANSKI, BRIAN · 2012 to 2016
$3.7M
Intervention Targeting Substance Using Older Adults with HIVR01DA029567 · NIDA · HUNTER COLLEGE · PI PARSONS, JEFFREY T · 2010 to 2014
$2.9M
Developing a mobile emotion regulation intervention for HIV-positive menK01DA039030 · NIDA · HUNTER COLLEGE · PI RENDINA, H. JONATHON · 2015 to 2018
$743k
Club drug use and PrEP adherence in vulnerable menR21DA039019 · NIDA · GRADUATE SCHOOL OF PUBLIC HEALTH AND HEALTH POLICY · PI GROV, CHRISTIAN · 2015 to 2016
$430k
A Theoretically Driven Study of Substance Use and HIV Decision-MakingR03DA033868 · NIDA · HUNTER COLLEGE · PI WELLS, BROOKE ELISE · 2012 to 2013
$287k
NIDA NIH HHS K01 DA039030NIDA NIH HHS R01 DA029567NIDA NIH HHS R01 DA035145NIDA NIH HHS R03 DA033868NIDA NIH HHS R21 DA039019
6 · The paper itself

Abstract

Given the ongoing HIV epidemic, it is essential to identify gay and bisexual men who are interested in starting PrEP as well as active PrEP users. We report on online survey data gathered over a 17-month period in 2014-2015 from gay and bisexual men identified through six sources of recruitment (n = 2903): Facebook, a hookup website, two geosocial-sexual networking apps (herein "App 1: Pop-up ads" and "App 2: Banner ads"), and two types of listservs (one focused on general gay nightlife, and one focused on gay sex parties). Willingness to take PrEP were as follows: sex party listservs (71.3%), both apps (69.8%), Facebook (67.6%), hookup website (65.2%), and nightlife listservs (50.5%). Experience having taken PrEP was as follows: sex party listservs (23.4%), App 2: Banner ads (22.5%), nightlife listservs (17.1) Facebook (14.2%), App 1: Pop-up ads (12.4%), and hookup website (2.1%). In multivariable modeling, willingness to go on PrEP was independently associated with being younger, single, a person of color, and having been tested for HIV in the past 12 months. Source of recruitment was largely unassociated with willingness to start PrEP. Number of recent male partners, number of recent condomless anal sex (CAS) events, and when data were collected (i.e., time in months) were not significantly associated with willingness to start PrEP. In multivariable models, experience having taken PrEP was positively associated with sexual identity as gay, number of recent male sex partners, number of recent CAS acts, being tested for HIV in the past 12 months, and time (in months). Experience taking PrEP varied greatly by recruitment source, suggesting both researchers and providers might be well served to utilize digital mediums to effectively identify these individuals; however, should do so with caution as not all digital options may prove fruitful.

Indexed as

Social NetworkingAdultAnti-HIV AgentsBisexualityHealth PersonnelHIV InfectionsHomosexuality, MaleHumansIntentionMalePre-Exposure ProphylaxisResearch PersonnelSexual BehaviorSexual PartnersSurveys and QuestionnairesAnti-HIV Agents

Identifiers

PMID27710085
PMCPMC5312770
OpenAlexW2529182853

What OpenQuestion holds

Textmetadata
LicenceTDM
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.