Evidence map›Paper›PMID 28723300›Full record

ArticleSubstance abuse2018

Interest in using mobile technology to help self-manage alcohol use among persons living with the human immunodeficiency virus: A Florida Cohort cross-sectional study.

J Danielle Sharpe, Zhi Zhou, César G Escobar-Viera, Jamie P Morano, Robert J Lucero, Gladys E Ibañez, Mark Hart, Christa L Cook, Robert L Cook

Abstract read
In one paragraph

Article in Substance abuse, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
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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 synthesis or guideline 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

9 authors.

J Danielle Sharpea Department of Epidemiology , Rollins School of Public Health, Emory University , Atlanta , Georgia , USA.ORCID 0000-0003-1898-6202
Zhi Zhoub Department of Epidemiology , College of Public Health and Health Professions, College of Medicine, University of Florida , Gainesville , Florida , USA.
César G Escobar-Vierac Center for Research on Media , Technology, and Health, Health Policy Institute, University of Pittsburgh , Pittsburgh , Pennsylvania , USA.
Jamie P Moranod Division of Infectious Disease and International Medicine , Morsani College of Medicine, University of South Florida , Tampa , Florida , USA.
Robert J Lucerof Department of Family , Community, and Health System Science, College of Nursing, University of Florida , Gainesville , Florida , USA.
Gladys E Ibañezh Department of Epidemiology , Robert Stempel College of Public Health and Social Work, Florida International University , Miami , Florida , USA.
Mark Hartb Department of Epidemiology , College of Public Health and Health Professions, College of Medicine, University of Florida , Gainesville , Florida , USA.
Christa L Cookf Department of Family , Community, and Health System Science, College of Nursing, University of Florida , Gainesville , Florida , USA.
Robert L Cookb Department of Epidemiology , College of Public Health and Health Professions, College of Medicine, University of Florida , Gainesville , Florida , USA.

Funding

Mechanisms of Behavior Change Resource Core for Alcohol-HIV InterventionsU24AA022003 · NIAAA · BROWN UNIVERSITY · PI KAHLER, CHRISTOPHER W. · 2012 to 2020
$5.9M
Southern HIV and Alcohol Research Consortium Administrative and Research Support CoreU24AA022002 · NIAAA · UNIVERSITY OF FLORIDA · PI COOK, ROBERT L · 2012 to 2022
$5.5M
NIAAA NIH HHS U24 AA022002NIAAA NIH HHS U24 AA022003
6 · The paper itself

Abstract

backgroundAlcohol consumption at hazardous levels is more prevalent and associated with poor health outcomes among persons living with the human immunodeficiency virus (HIV; PLWH). Although PLWH are receptive to using technology to manage health issues, it is unknown whether a cell phone app to self-manage alcohol use would be acceptable among PLWH who drink. The objectives of this study were to determine factors associated with interest in an app to self-manage drinking and to identify differences in baseline mobile technology use among PLWH by drinking level.

methodsThe study population included 757 PLWH recruited from 2014 to 2016 into the Florida Cohort, an ongoing cohort study investigating the utilization of health services and HIV care outcomes among PLWH. Participants completed a questionnaire examining demographics, substance use, mobile technology use, and other health behaviors. Multivariable logistic regression was used to identify factors significantly associated with interest in an app to self-manage drinking. We also determined whether mobile technology use varied by drinking level.

resultsOf the sample, 40% of persons who drink at hazardous levels, 34% of persons who drink at nonhazardous levels, and 19% of persons who do not drink were interested in a self-management app for alcohol use. Multivariable logistic regression analysis indicated that nonhazardous drinking (adjusted odds ratio [AOR] = 1.78; confidence interval [CI 95%]: 1.10-2.88) and hazardous drinking (AOR = 2.58; CI: 1.60-4.16) were associated with interest, controlling for age, gender, education, and drug use. Regarding mobile technology use, most of the sample reported smartphone ownership (56%), text messaging (89%), and at least one cell phone app (69%).

conclusionsRegardless of drinking level, overall mobile technology use among PLWH was moderate, whereas PLWH who consumed alcohol expressed greater interest in a cell phone app to self-manage alcohol use. This indicates that many PLWH who drink would be interested in and prepared for a mobile technology-based intervention to reduce alcohol consumption.

Indexed as

Health BehaviorMobile ApplicationsSelf CareAdolescentAdultAlcohol DrinkingCohort StudiesCross-Sectional StudiesFemaleFloridaHIV InfectionsHumansMaleMiddle AgedPatient Acceptance of Health CareYoung AdultAlcoholcell phonedrinkingHIVmHealthmobile appsmobile technologyself-management

Identifiers

PMID28723300
PMCPMC5775061

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.