Evidence map›Paper›PMID 23496891›Full record

ArticleAIDS research and therapy2013

HIV testing practices among New England college health centers.

Nilay Patel, Aadia Rana, Alyssa Thomas, John C Barnhart, Timothy P Flanigan, Jacob J van den Berg, Philip A Chan

Abstract read
In one paragraph

Article in AIDS research and therapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

6 citing papers in PubMed.

  1. Article
  2. Race/Sex Interactions and HIV Testing Among College Students.Journal of racial and ethnic health disparities · 2017
    Article
  3. Article
  4. Article
  5. Article
  6. 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

7 authors.

Nilay PatelAlpert Medical School of Brown University, Division of Infectious Diseases, The Miriam Hospital, 1125 North Main Street, Providence, RI 02904, USA. PChan@lifespan.org.
Aadia Rana
Alyssa Thomas
John C Barnhart
Timothy P Flanigan
Jacob J van den Berg
Philip A Chan

Funding

Molecular Epidemiology of HIV Transmission NetworksK23AI096923 · NIAID · MIRIAM HOSPITAL · PI CHAN, PHILIP ANDREW · 2011 to 2015
$650k
NIAID NIH HHS K23 AI096923
6 · The paper itself

Abstract

backgroundThe prevalence of human immunodeficiency virus (HIV) continues to increase among certain populations including young men who have sex with men (MSM). College campuses represent a potential setting to engage young adults and institute prevention interventions including HIV testing. The purpose of this study was to evaluate testing practices for HIV and other sexually transmitted infections (STIs) on college campuses.

methodsMedical directors at four-year residential baccalaureate college health centers in New England were surveyed from June, 2011 to September, 2011. Thirty-one interviews were completed regarding experiences with HIV testing, acute HIV infection, other STI testing, and outreach efforts targeting specific at-risk groups such as MSM.

resultsAmong schools that responded to the survey, less than five percent of students were tested for HIV at their local college health center in the past academic year (2010-2011). Significant barriers to HIV testing included cost and availability of rapid antibody testing. One-third of college health medical directors reported that their practitioners may not feel comfortable recognizing acute HIV infection.

conclusionsImproved HIV testing practices are needed on college campuses. Programs should focus on outreach efforts targeting MSM and other at-risk populations.

Identifiers

PMID23496891
PMCPMC3606211

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.