Evidence map›Paper›PMID 26980878›Full record

Trial reportClinical infectious diseases : an official publication of the Infectious Diseases Society of America2016

Using Social Media to Increase HIV Testing Among Gay and Bisexual Men, Other Men Who Have Sex With Men, and Transgender Persons: Outcomes From a Randomized Community Trial.

Scott D Rhodes, Thomas P McCoy, Amanda E Tanner, Jason Stowers, Laura H Bachmann, Annie L Nguyen, Michael W Ross

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 9 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

63 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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3 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Scott D RhodesDepartment of Social Sciences and Health Policy, Division of Public Health Sciences Section of Infectious Diseases Maya Angelou Center for Health Equity, Wake Forest School of Medicine, Winston-Salem.
Thomas P McCoyDepartment of Family and Community Nursing.
Amanda E TannerDepartment of Public Health Education, University of North Carolina at Greensboro.
Jason StowersTriad Health Project.
Laura H BachmannSection of Infectious Diseases Guilford County Department of Health and Human Services, Public Health Division, Greensboro, North Carolina.
Annie L NguyenFamily Medicine and Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles.
Michael W RossProgram in Human Sexuality, Department of Family Medicine and Community Health, University of Minnesota, Minneapolis.

Funding

Evaluating an intervention to increase HIV testing through chat room promotionR01MH092932 · NIMH · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI RHODES, SCOTT D · 2011 to 2014
$1.4M
NIMH NIH HHS R01 MH092932
6 · The paper itself

Abstract

We tested an intervention designed to increase human immunodeficiency virus (HIV) testing among men who have sex with men and transgender persons within existing and commonly used social media. At follow-up, intervention communities had significantly higher past 12-month HIV testing than the comparison communities. Findings suggest that promoting HIV testing via social media can increase testing.

Indexed as

Health PromotionSocial MediaAdolescentAdultAgedCross-Sectional StudiesHIV InfectionsHumansMaleMass ScreeningMiddle AgedSexual and Gender MinoritiesYoung Adultcommunity trialHIV testinginterventionMSMsocial media

Identifiers

PMID26980878
PMCPMC4872288

What OpenQuestion holds

Textmetadata
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.