Evidence map›Paper›PMID 27110294›Full record

ArticleJournal of mobile technology in medicine2016

MOBILE SCREENING TO IDENTIFY AND FOLLOW-UP WITH HIGH RISK, HIV NEGATIVE YOUTH.

Ian David Aronson, Charles M Cleland, David C Perlman, Sonali Rajan, Wendy Sun, Christopher Ferraris, Jennifer Mayer, David C Ferris, Theodore C Bania

Abstract read
In one paragraph

Article in Journal of mobile technology in medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
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

9 authors.

Ian David AronsonNational Development and Research Institutes, Inc., New York, NY, USA.
Charles M ClelandCenter for Drug Use and HIV Research (CDUHR), College of Nursing, New York University, New York, NY, USA.
David C PerlmanIcahn School of Medicine at Mount Sinai, Mount Sinai Beth Israel, New York, NY, USA.
Sonali RajanDepartment of Health and Behavior Studies, Teachers College, Columbia University, New York, NY, USA.
Wendy SunColumbia University, New York, NY, USA.
Christopher FerrarisInstitute for Advanced Medicine, Mt. Sinai Health System, New York, NY, USA.
Jennifer MayerInstitute for Advanced Medicine, Mt. Sinai Health System, New York, NY, USA.
David C FerrisInstitute for Advanced Medicine, Mt. Sinai Health System, New York, NY, USA.
Theodore C BaniaIchan School of Medicine at Mount Sinai; Mount Sinai St. Luke's; Mount Sinai West, New York, NY, USA.

Funding

Transdisciplinary Theoretical Svnthesis and Development CoreP30DA011041 · NIDA · NEW YORK UNIVERSITY · PI Holly Hagan · 1998 to 2026
$38.9M
Increasing HIV Testing in Urban Emergency Departments via Mobile TechnologyR34DA037129 · NIDA · NATIONAL DEVELOPMENT AND RESEARCH INSTITUTES, INC. · PI ARONSON, IAN DAVID · 2014 to 2016
$717k
NIDA NIH HHS P30 DA011041NIDA NIH HHS R34 DA037129
6 · The paper itself

Abstract

backgroundHIV prevalence remains disproportionately high among youth, especially among young men who have sex with men, young people with substance use disorders, and recently incarcerated youth. However, youth may not report behavioral risks because they fear stigma or legal consequences. While routine HIV screening programs have increased testing, current programs are not designed to identify, or provide prevention services to, high-risk patients who test HIV negative.

aimsTo examine the feasibility and preliminary efficacy of: a tablet-based screening designed to facilitate HIV risk reporting and testing among a sample of young urban emergency department (ED) patients; and a text message-based follow up protocol for patients who test HIV-negative and report increased behavioral risk.

methods100 ED patients aged 18 - 24, who declined HIV tests offered at triage, completed a tablet-based intervention that included a risk screening, an educational video, and offered participants HIV tests. If patients accepted testing and reported increased risk, the tablets offered follow-up text messages.

results30 participants accepted HIV tests following the intervention and 21 participants, identified by custom software as high-risk, agreed to receive text messages. Two thirds (66.7%) of text recipients responded to questions at week 6, more than half (57.1%) responded at week 8, one (4.76%) re-tested after week 12.

conclusionResults indicate our intervention provides a feasible way to facilitate risk reporting, increase HIV testing, and maintain ongoing contact with hard-to-reach youth via tablet computers and text messages.

Identifiers

PMID27110294
PMCPMC4838398

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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.