Evidence map›Paper›PMID 25626718›Full record

SynthesisCurrent HIV/AIDS reports2015

A systematic review of recent smartphone, Internet and Web 2.0 interventions to address the HIV continuum of care.

Kathryn E Muessig, Manali Nekkanti, Jose Bauermeister, Sheana Bull, Lisa B Hightow-Weidman

Abstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Current HIV/AIDS reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 209 papers, 19 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
209citing papers in PubMed, 19 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

209 citing papers in PubMed, 19 syntheses or guidelines pooled it.

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  13. Technology-Based Interventions to Reduce Sexually Transmitted Infections and Unintended Pregnancy Among Youth.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2018
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  20. Trial

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

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.

Kathryn E MuessigDepartment of Health Behavior, University of North Carolina at Chapel Hill, 306 Rosenau Hall, Campus Box 7440, Chapel Hill, NC, 27599-7440, USA, kmuessig@med.unc.edu.
Manali Nekkanti
Jose Bauermeister
Sheana Bull
Lisa B Hightow-Weidman

Funding

Health Mpowerment.org: a novel Internet and mobile phone HIV intervention for youR01MH093275 · NIMH · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HIGHTOW-WEIDMAN, LISA B · 2011 to 2015
$2.3M
NIMH NIH HHS R01 MH093275
6 · The paper itself

Abstract

eHealth, mHealth and "Web 2.0" social media strategies can effectively reach and engage key populations in HIV prevention across the testing, treatment, and care continuum. To assess how these tools are currently being used within the field of HIV prevention and care, we systematically reviewed recent (2013-2014) published literature, conference abstracts, and funded research. Our searches identified 23 published intervention studies and 32 funded projects underway. In this synthesis we describe the technology modes applied and the stages of the HIV care cascade addressed, including both primary and secondary prevention activities. Overall trends include use of new tools including social networking sites, provision of real-time assessment and feedback, gamification and virtual reality. While there has been increasing attention to use of technology to address the care continuum, gaps remain around linkage to care, retention in care, and initiation of antiretroviral therapy.

Indexed as

Continuity of Patient CareInternetSmartphoneSocial MediaHIV InfectionsHumansTelemedicine

Identifiers

PMID25626718
PMCPMC4370788

What OpenQuestion holds

Textmetadata
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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.