Evidence map›Paper›PMID 28771449›Full record

ReviewCurrent opinion in HIV and AIDS2017

Using technology to assess and intervene with illicit drug-using persons at risk for HIV.

Keith J Horvath, Sara Lammert, Sara LeGrand, Kathryn E Muessig, José A Bauermeister

Abstract readReview
In one paragraph

Review in Current opinion in HIV and AIDS, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 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

5 authors.

Keith J HorvathaUniversity of Minnesota, Minneapolis, MinnesotabDuke University, DurhamcUniversity of North Carolina, Chapel Hill, North CarolinadUniversity of Pennsylvania, Philadelphia, Pennsylvania, USA.
Sara Lammert
Sara LeGrand
Kathryn E Muessig
José A Bauermeister

Funding

The UNC/Emory Center for Innovative Technology (iTech) across the prevention and care continuumU19HD089881 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HIGHTOW-WEIDMAN, LISA B, SULLIVAN, PATRICK SEAN · 2016 to 2022
$35.8M
A Technology-Delivered Peer-to-Peer Support ART Adherence Intervention for HIV+ AdultsR01DA039950 · NIDA · UNIVERSITY OF MINNESOTA · PI HORVATH, KEITH JOSEPH · 2015 to 2019
$3.3M
NICHD NIH HHS U19 HD089881NIDA NIH HHS R01 DA039950
6 · The paper itself

Abstract

purpose of reviewThis review describes recent literature on novel ways technology is used for assessment of illicit drug use and HIV risk behaviours, suggestions for optimizing intervention acceptability, and recently completed and ongoing technology-based interventions for drug-using persons at risk for HIV and others with high rates of drug use and HIV risk behaviour. RECENT

findingsAmong studies (n = 5) comparing technology-based to traditional assessment methods, those using Ecological Momentary Assessment (EMA) had high rates of reported drug use and high concordance with traditional assessment methods. The two recent studies assessing the acceptability of mHealth approaches overall demonstrate high interest in these approaches. Current or in-progress technology-based interventions (n = 8) are delivered using mobile apps (n = 5), text messaging (n = 2) and computers (n = 1). Most intervention studies are in progress or do not report intervention outcomes; the results from one efficacy trial showed significantly higher HIV testing rates among persons in need of drug treatment. SUMMARY: Studies are needed to continually assess technology adoption and intervention preferences among drug-using populations to ensure that interventions are appropriately matched to users. Large-scale technology-based intervention trials to assess the efficacy of these approaches, as well as the impact of individual intervention components, on drug use and other high-risk behaviours are recommended.

Indexed as

Cell PhoneHealth BehaviorText MessagingFemaleHIV InfectionsHumansIllicit DrugsMobile ApplicationsRiskIllicit Drugs

Identifiers

PMID28771449
PMCPMC5812261

What OpenQuestion holds

Textmetadata
LicenceTDM
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.