Evidence map›Paper›PMID 28478706›Full record

ArticleAIDS care2017

Interest in use of mHealth technology in HIV prevention and associated factors among high-risk drug users enrolled in methadone maintenance program.

Roman Shrestha, Pramila Karki, Michael Copenhaver

Abstract read
In one paragraph

Article in AIDS care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Trial
  2. Assessment of Technology Use and Technology Preferences for HIV Prevention Among Hispanic Women.Hispanic health care international : the official journal of the National Association of Hispanic Nurses · 2018
    Trial
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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

3 authors.

Roman Shresthaa Department of Community Medicine and Health Care , University of Connecticut Health Center , Farmington , CT , USA.ORCID 0000-0003-4340-3101
Pramila Karkib Department of Allied Health Sciences , University of Connecticut , Storrs , CT , USA.
Michael Copenhaverb Department of Allied Health Sciences , University of Connecticut , Storrs , CT , USA.

Funding

HIV Prevention and Adherence Among Priority Drug Using PopulationsK02DA033139 · NIDA · UNIVERSITY OF CONNECTICUT STORRS · PI COPENHAVER, MICHAEL · 2013 to 2017
$697k
NIDA NIH HHS K02 DA033139
6 · The paper itself

Abstract

The adoption of mobile technologies for health (mHealth) in healthcare has grown considerably in recent years, but systematic assessment of interest in the use of mHealth in HIV prevention efforts among people who use drugs (PWUD) is lacking. We therefore examined interest in use of mHealth technology in HIV prevention and associated individual-level factors among high-risk PWUD enrolled in methadone maintenance program. A total of 400 HIV-negative PWUD, who reported drug- and/or sex-related risk behaviors completed a standardized assessment using audio computer assisted self-interview (ACASI). Results revealed significant interest in using mHealth-based approaches for specific purposes, including: to receive medication reminders (72.3%), to receive information about HIV risk reduction (65.8%), and to assess HIV risk behaviors (76.5%). Multivariate analysis showed that interest in receiving medication reminders was associated with currently taking medication and being neurocognitively impaired, whereas interest in receiving HIV-risk reduction information was associated with being non-white, married, and perceiving the person was at high-risk for contracting HIV. Similarly, participants' interested in using mHealth for HIV risk behavior assessment was associated with having recently visited a healthcare provider and exhibiting depressive symptoms. Overall, this study demonstrated that high-risk PWUD are interested in using mHealth-based tools as a key part of an HIV prevention approach within a common type of drug treatment settings. Thus, formative research on preferences for design and functionality of mHealth-based HIV prevention tools are now needed, followed by practical development, implementation, and evaluation of these new intervention strategies.

Indexed as

Medication AdherenceText MessagingAcquired Immunodeficiency SyndromeAdultCell PhoneCross-Sectional StudiesDelivery of Health CareDrug UsersFemaleHIV InfectionsHumansMaleMethadoneOpiate Substitution TreatmentRiskRisk-TakingMethadoneHIV preventionMHealth technologypeople who use drugssubstance abusetext messaging names

Identifiers

PMID28478706
PMCPMC6081193

What OpenQuestion holds

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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.