Evidence map›Paper›PMID 25285464›Full record

ArticleAIDS care2015

Communication technology use and mHealth acceptance among HIV-infected men who have sex with men in Peru: implications for HIV prevention and treatment.

Archana Krishnan, Enrico G Ferro, Damian Weikum, Panagiotis Vagenas, Javier R Lama, Jorge Sanchez, Frederick L Altice

Abstract read
In one paragraph

Article in AIDS care, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  16. HIV Education, Empathy, and Empowerment (HIVEInternational journal of environmental research and public health · 2021
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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

7 authors.

Archana Krishnana Section of Infectious Diseases, AIDS Program , Yale School of Medicine , New Haven , CT , USA.
Enrico G Ferro
Damian Weikum
Panagiotis Vagenas
Javier R Lama
Jorge Sanchez
Frederick L Altice

Funding

Using Coincidence Analysis to Investigate Factors Affecting PrEP Initiation and Continuation in Southern ending the Epidemic CountiesP30MH062294 · NIMH · YALE UNIVERSITY · PI John Edward Pachankis · 2001 to 2026
$48.5M
HIV Testing and Treatment to Prevent Onward HIV Transmission among High-risk MSMR01DA032106 · NIDA · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DUERR, ANN C · 2011 to 2015
$6.6M
Alcohol Pharmacotherapies Among Released PrisonersR01AA018944 · NIAAA · YALE UNIVERSITY · PI ALTICE, FREDERICK LEWIS, SPRINGER, SANDRA ANN · 2009 to 2013
$3.8M
Enhancing Health Outcomes Among HIV+ Substance AbusersK24DA017072 · NIDA · YALE UNIVERSITY · PI ALTICE, FREDERICK LEWIS · 2003 to 2012
$1.5M
NIAAA NIH HHS R01 AA018944NIAAA NIH HHS R01AA018944NIDA NIH HHS K24 DA017072NIDA NIH HHS R01 DA032106NIMH NIH HHS P30 MH062294
6 · The paper itself

Abstract

The HIV epidemic in Peru is concentrated among men who have sex with men (MSM). Given that MSM have been documented as early adopters of emerging technology, we examined communication technology access and utilization, and mobile health (mHealth) acceptance among Peruvian MSM and transgender women (TGW) in order to gauge opportunities for mHealth-enabled HIV interventions. A convenience sample of 359 HIV-infected MSM and TGW recruited from three sites in Lima, Peru completed standardized assessments of alcohol use disorders (AUDs), risky sexual behavior, and antiretroviral therapy (ART) adherence along with self-constructed measures of communication technology access and utilization, and mHealth acceptance. Most participants (86%) had daily access to any cell phone, including smartphones (30%). The most frequent communication activities were receiving and making calls, and receiving and sending text messages using cell phones. On a 5-point Likert scale, participants expressed interest in using mHealth for medication reminders (M = 3.21, SD = 1.32) and engaging in anonymous online interactions with health professionals to discuss HIV-related issues (M = 3.56, SD = 1.33). Importantly, no significant differences were found in communication technology use and mHealth acceptance among participants with AUDs, depression, and suboptimal ART adherence, all of which are associated with poor HIV treatment outcomes. Findings show support for implementing mHealth-based intervention strategies using cell phones to assess and reduce HIV-risk behaviors among HIV-infected MSM and TGW.

Indexed as

Cell PhoneTelemedicineAdolescentAdultAgedAlcohol DrinkingAnti-Retroviral AgentsDrug MonitoringEducationFemaleHealth SurveysHIV InfectionsHomosexuality, MaleHumansMaleMiddle AgedAnti-Retroviral Agentscommunication technologyHIVmen who have sex with men (MSM)mHealthPeru

Identifiers

PMID25285464
PMCPMC4305474

What OpenQuestion holds

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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.