Evidence map›Paper›PMID 24062015›Full record

ArticleAIDS and behavior2014

Social media technologies for HIV prevention study retention among minority men who have sex with men (MSM).

Sean D Young

Abstract read
In one paragraph

Article in AIDS and behavior, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
–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

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, 2 syntheses or guidelines pooled it.

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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

1 author.

Sean D YoungUCLA Department of Family Medicine, UCLA School of Medicine, University of California, Los Angeles, 10880 Wilshire Blvd. Suite 1800, Los Angeles, CA, 90024, USA, sdyoung@mednet.ucla.edu.

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
UCLA Rapid, Relevant, Rigorous Implementation Science HubP30MH058107 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI RAPHAEL J LANDOVITZ · 1997 to 2026
$53.5M
Virology CoreP30AI028697 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHEN, IRVIN S.Y. · 1991 to 2018
$39.9M
Using online social networks for HIV prevention in African American/Latino MSMK01MH090884 · NIMH · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, SEAN · 2010 to 2014
$842k
NCATS NIH HHS UL1 TR000124NIAID NIH HHS P30 AI028697NIMH NIH HHS K01 MH090884NIMH NIH HHS P30 MH058107
6 · The paper itself

Abstract

This brief report describes results on study retention among minority men who have sex with men (MSM) from a 12-week, social networking-based, HIV prevention trial with 1-year follow-up. Participants, primarily minority MSM, were recruited using online and offline methods and randomly assigned to a Facebook (intervention or control) group. Participants completed a baseline survey and were asked to complete two follow-up surveys (12-week follow-up and 1-year post-intervention). 94 % of participants completed the first two surveys and over 82 % completed the baseline and both post-intervention surveys. Participants who spent a greater frequency of time online had almost twice the odds of completing all surveys. HIV negative participants, compared to those who were HIV positive, had over 25 times the odds of completing all surveys. HIV prevention studies on social networking sites can yield high participant retention rates.

Indexed as

Social MediaSocial NetworkingAdultBlack or African AmericanFollow-Up StudiesHealth SurveysHispanic or LatinoHIV InfectionsHomosexuality, MaleHumansLogistic ModelsMaleRisk-TakingSexual Partners

Identifiers

PMID24062015
PMCPMC3947721

What OpenQuestion holds

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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.