Evidence map›Paper›PMID 33867493›Full record

ArticleAIDS (London, England)2021

Estimating the influence of Twitter on pre-exposure prophylaxis use and HIV testing as a function of rates of men who have sex with men in the United States.

Man-Pui Sally Chan, Alex Morales, Maria Zlotorzynska, Patrick Sullivan, Travis Sanchez, Chengxiang Zhai, Dolores Albarracín

Abstract read
In one paragraph

Article in AIDS (London, England), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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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

7 authors.

Man-Pui Sally ChanUniversity of Illinois at Urbana-Champaign, Champaign, IL.
Alex MoralesUniversity of Illinois at Urbana-Champaign, Champaign, IL.
Maria ZlotorzynskaEmory University, Atlanta, GA, USA.
Patrick SullivanEmory University, Atlanta, GA, USA.
Travis SanchezEmory University, Atlanta, GA, USA.
Chengxiang ZhaiUniversity of Illinois at Urbana-Champaign, Champaign, IL.
Dolores AlbarracínUniversity of Illinois at Urbana-Champaign, Champaign, IL.

Funding

Digital, Community-Led, Social Action Initiative to Reduce Opioid Vulnerability and HIV/HCV in Rural Areas of the Midwest and AppalachiaDP1DA048570 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2019 to 2023
$4.0M
Mining Social Media Messages for HIV Testing and Prevention CommunicationR01MH114847 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2018 to 2022
$2.9M
Development and validation of regional models of HIV vulnerabilities and solutionsR01AI147487 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2019 to 2022
$2.4M
Efficacy and Effectiveness of Multi-Behavior Interventions Relevant to HIVR01MH094241 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI ALBARRACIN, DOLORES · 2012 to 2016
$2.2M
Online media and structural influences on new HIV/STI Cases in the US (2006-2020)R56AI114501 · NIAID · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ALBARRACIN, DOLORES · 2015 to 2015
$656k
NIAID NIH HHS R01 AI147487NIAID NIH HHS R56 AI114501NIDA NIH HHS DP1 DA048570NIMH NIH HHS R01 MH094241NIMH NIH HHS R01 MH114847
6 · The paper itself

Abstract

objectivesAcceptance of pre-exposure prophylaxis (PrEP) and testing for HIV is likely to vary as a function of the norms and communications within a geographic area. This study examined associations involving county tweets, in person communications, and HIV prevention and testing in regions with higher (vs. lower) estimated rates of men who have sex with men (MSM). DESIGN AND

methodsEcological analyses examined (a) tweets about HIV (i.e. tweet rates per 100 000 county population and topic probabilities in 1959 US counties); (b) individual-level survey data about HIV prevention and testing and communications about PrEP and HIV (N = 30 675 participants); and (c) estimated county-level MSM rates (per 1 000 adult men).

resultsIn counties with higher rates of MSM, tweet rates were directly associated with PrEP use and HIV testing (rs = .06, BF10 > 10). Topics correlated with PrEP use (rs = -0.06 to 0.07, BF10 > 10) and HIV testing (rs = -0.05 to 0.05, BF10 > 10). Mediation analyses showed that hearing about and discussing PrEP mediated the relations between tweet rates and PrEP use (bi∗ = 0.01-0.05, BF10 > 100) and between topics and PrEP use (bi∗ = -0.04- 0.05, BF10 > 10). Moreover, hearing about PrEP was associated with PrEP use, which was in turn associated with tweet rates (bi∗ = 0.01, BF10 > 100) and topics (bi∗ = -0.03 - 0.01, BF10 > 10).

conclusionsRates of MSM appear to lead to HIV tweets in a region, in person communications about PrEP, and, ultimately, actual PrEP use. Also, as more men hear about PrEP, they may use PrEP more and may tweet about HIV.

Indexed as

Anti-HIV AgentsHIV InfectionsPre-Exposure ProphylaxisSexual and Gender MinoritiesSocial MediaAdultHIV TestingHomosexuality, MaleHumansMaleUnited StatesAnti-HIV Agents

Identifiers

PMID33867493
PMCPMC12475984

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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.