Evidence map›Paper›PMID 29696403›Full record

Trial reportAIDS and behavior2018

The Effect of a Text Messaging Based HIV Prevention Program on Sexual Minority Male Youths: A National Evaluation of Information, Motivation and Behavioral Skills in a Randomized Controlled Trial of Guy2Guy.

Michele L Ybarra, Weiwei Liu, Tonya L Prescott, Gregory Phillips, Brian Mustanski

2 registry-linked trialsAbstract readRandomized Controlled Trial
In one paragraph

Trial report in AIDS and behavior, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 25 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 5 pooled it
3.0field-weighted citation impact, top 8% 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.

NCT02113956 nacompletednot on this map

Harnessing the Power of Text Messaging to Invigorate AMSM HIV Preventive Behavior

TypeinterventionalSponsorCenter for Innovative Public Health ResearchRan2014 to 2015Enrolled302ConditionsHIVArmsGuy2Guy (G2G)
NCT07681908 nanot yet recruitingnot on this mapstarted 2026, after this paper: background citation

#TranscendentHealth - Adapting an LGB+ Inclusive Teen Pregnancy Prevention Program for Transgender Boys

TypeinterventionalSponsorCenter for Innovative Public Health ResearchRan2026 to 2028Enrolled467ConditionsPregnancy (Unwanted), Sexually Transmitted Disease (STD), HIV Infection, Sexual BehaviorArms#TranscendentHealth, Universal Sexual Health Program
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 5 syntheses or guidelines pooled it, 36 citations in OpenAlex.

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  8. Feasibility, Acceptability, and Process Indicators for Guy2Guy, an mHealth HIV Prevention Program for Sexual Minority Adolescent Boys.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2019
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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

5 authors at 3 institutions in 1 country.

Michele L YbarraCenter for Innovative Public Health Research, 555 El Camino Real #A347, San Clemente, CA, 92672, USA. Michele@InnovativePublicHealth.org.
Weiwei LiuNORC at the University of Chicago, Chicago, IL, USA.
Tonya L PrescottCenter for Innovative Public Health Research, 555 El Camino Real #A347, San Clemente, CA, 92672, USA.
Gregory PhillipsNorthwestern University Feinberg School of Medicine, Chicago, IL, USA.
Brian MustanskiNorthwestern University Feinberg School of Medicine, Chicago, IL, USA.
Center for Innovative Public Health Research · USNorthwestern University · USUniversity of Chicago · US

Funding

Harnessing the power of text messaging to invigorate AMSM HIV preventive behaviorR01MH096660 · NIMH · CENTER FOR INNOVATIVE PUBLIC HEALTH RESEARCH · PI MUSTANSKI, BRIAN, YBARRA, MICHELE L. · 2012 to 2014
$1.6M
National Institute of Mental Health R01 MH096660NIMH NIH HHS R01 MH096660
6 · The paper itself

Abstract

There is a paucity of literature documenting how the constructs of the Information-Motivation-Behavioral Skills (IMB) model are affected by exposure to technology-based HIV prevention programs. Guy2Guy, based on the IMB model, is the first comprehensive HIV prevention program delivered via text messaging and tested nationally among sexual minority adolescent males. Between June and November 2014, 302 14-18 year old gay, bisexual, and/or queer cisgender males were recruited across the US on Facebook and enrolled in a randomized controlled trial testing Guy2Guy versus an attention-matched control program. Among sexually inexperienced youth, those in the intervention were more than three times as likely to be in the "High motivation" group at follow-up as control youth (aOR = 3.13; P value = 0.04). The intervention effect was not significant when examined separately for those who were sexually active. HIV information did not significantly vary by experimental arm at 3 months post-intervention end, nor did behavioral skills for condom use or abstinence vary. The increase in motivation to engage in HIV preventive behavior for adolescent males with no prior sexual experience is promising, highlighting the need to tailor HIV prevention according to past sexual experience. The behavioral skills that were measured may not have reflected those most emphasized in the content (e.g., how to use lubrication to reduce risk and increase pleasure), which may explain the lack of detected intervention impact. CLINICAL

trial registrationClinicalTrials.gov ID# NCT02113956.

Indexed as

MotivationRisk Reduction BehaviorText MessagingAcquired Immunodeficiency SyndromeAdolescentAdolescent BehaviorAdultBehavior TherapyCondomsFemaleHIV InfectionsHumansMaleOutcome Assessment, Health CareSafe SexSexual and Gender MinoritiesAdolescenceHIV preventionInformation–Motivation–Behavioral modelLGBTmHealthMSMSexual minority

Identifiers

PMID29696403
PMCPMC6483371
OpenAlexW2800631351

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.