Evidence map›Paper›PMID 24985342›Full record

Trial reportAddiction science & clinical practice2014

Mobile phone brief intervention applications for risky alcohol use among university students: a randomized controlled study.

Mikael Gajecki, Anne H Berman, Kristina Sinadinovic, Ingvar Rosendahl, Claes Andersson

Registry-linked trialAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Addiction science & clinical practice, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01958398 (Brief Alcohol Interventions With Mobile Phone Applications for University Students), which is not on this map. Cited by 100 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing papers in PubMed, 13 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.

NCT01958398 nacompletednot on this map

Brief Alcohol Interventions With Mobile Phone Applications for University Students: A Randomized Controlled Trial

TypeinterventionalSponsorKarolinska InstitutetRan2013 to 2013Enrolled4,408ConditionsProblematic Alcohol UseArmsPromillekoll, PartyPlanner
3 · Its place in the literature

Who cites it

100 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  7. The Effectiveness of Mobile Phone-Based Text Messaging to Intervene with Problem Drinking in Youth and Younger Adult Population: A Meta-Analysis.Telemedicine journal and e-health : the official journal of the American Telemedicine Association · 2020
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  8. Technology-Based Substance Use Interventions: Opportunities for Gender-Transformative Health Promotion.International journal of environmental research and public health · 2020
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  18. Using mobile technology to influence alcohol-impaired driving risk perceptions and decisions.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024
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40 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.

Mikael GajeckiKarolinska Institutet, Department of Clinical Neuroscience, Center for Psychiatric Research, Stockholm, Sweden. mikael.gajecki@ki.se.
Anne H Berman
Kristina Sinadinovic
Ingvar Rosendahl
Claes Andersson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBrief interventions via the internet have been shown to reduce university students' alcohol intake. This study tested two smartphone applications (apps) targeting drinking choices on party occasions, with the goal of reducing problematic alcohol intake among Swedish university students.

methodsStudents were recruited via e-mails sent to student union members at two universities. Those who gave informed consent, had a smartphone, and showed risky alcohol consumption according to the Alcohol Use Disorders Identification Test (AUDIT) were randomized into three groups. Group 1 had access to the Swedish government alcohol monopoly's app, Promillekoll, offering real-time estimated blood alcohol concentration (eBAC) calculation; Group 2 had access to a web-based app, PartyPlanner, developed by the research group, offering real-time eBAC calculation with planning and follow-up functions; and Group 3 participants were controls. Follow-up was conducted at 7 weeks.

resultsAmong 28574 students offered participation, 4823 agreed to join; 415 were excluded due to incomplete data, and 1932 fulfilled eligibility criteria for randomization. Attrition was 22.7-39.3 percent, higher among heavier drinkers and highest in Group 2. Self-reported app use was higher in Group 1 (74%) compared to Group 2 (41%). Per-protocol analyses revealed only one significant time-by-group interaction, where Group 1 participants increased the frequency of their drinking occasions compared to controls (p = 0.001). Secondary analyses by gender showed a significant difference among men in Group 1 for frequency of drinking occasions per week (p = 0.001), but not among women. Among all participants, 29 percent showed high-risk drinking, over the recommended weekly drinking levels of 9 (women) and 14 (men) standard glasses.

conclusionsSmartphone apps can make brief interventions available to large numbers of university students. The apps studied using eBAC calculation did not, however, seem to affect alcohol consumption among university students and one app may have led to a negative effect among men. Future research should: 1) explore ways to increase user retention, 2) include apps facilitating technical manipulation for evaluation of added components, 3) explore the effects of adapting app content to possible gender differences, and 4) offer additional interventions to high-risk users.

trial registrationclinicaltrials.gov: NCT01958398.

Indexed as

Cell PhoneCounselingInternetMobile ApplicationsSoftwareTherapy, Computer-AssistedAdolescentAdultAlcoholismEthanolFemaleHumansIntentionMaleSelf CareStudentsEthanol

Identifiers

PMID24985342
PMCPMC4091647

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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.