Evidence map›Paper›PMID 32460799›Full record

ArticleBMC public health2020

Testing the efficacy of a minimal-guidance online self-help intervention for alcohol misuse in Estonia: study protocol of a randomized controlled trial.

Esta Kaal, Michael P Schaub, Andreas Wenger, Triin Ülesoo, Matthijs Blankers, Severin Haug, David D Ebert, Heleen Riper, Matthew Keough, Helen Noormets and 1 more

Open access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. Review
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

11 authors at 7 institutions in 4 countries.

Esta KaalEstonian National Institute for Health Development, Tallinn, Estonia. esta.kaal@tai.ee.ORCID http://orcid.org/0000-0001-8872-2451
Michael P SchaubSwiss Research Institute for Public Health and Addiction, University of Zurich, Zurich, Switzerland.
Andreas WengerSwiss Research Institute for Public Health and Addiction, University of Zurich, Zurich, Switzerland.
Triin ÜlesooEstonian National Institute for Health Development, Tallinn, Estonia.
Matthijs BlankersDepartment of Research, Arkin Mental Health Care, Amsterdam, The Netherlands.
Severin HaugDepartment of Research, Arkin Mental Health Care, Amsterdam, The Netherlands.
David D EbertDepartment of Clinical Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Heleen RiperDepartment of Clinical Psychology, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands.
Matthew KeoughDepartment of Psychology, York University, Toronto, Ontario, Canada.
Helen NoormetsEstonian National Institute for Health Development, Tallinn, Estonia.
Karin KilpEstonian National Institute for Health Development, Tallinn, Estonia.
National Institute for Health Development · EEArkin · NLUniversity of Zurich · CHGGZ inGeest · NLTallinn University of Technology · EEVrije Universiteit Amsterdam · NLYork University · CA

Funding

Estonian National Institute for Health Development None
6 · The paper itself

Abstract

backgroundDespite an initial steep decrease in alcohol misuse among Estonians through structural intervention means and the scaling up of alcohol counselling in the mid-2000's, most of the country's alcohol misuse indicators remain clearly higher than European averages. Consequently, an online self-help program was launched as part of an initial behavioral intervention initiative to foster progress in alcohol prevention on a population level.

methodsA two-arm randomized controlled trial (RCT) has been designed to compare the efficacy of a culturally-adapted minimal-guidance online self-help program, the 8-week "Selge" online program against a control condition that consists of a self-administered test of alcohol use and advice regarding usual treatment in Estonia. A target sample of 600 individuals will be recruited and randomly assigned to either condition. The program will contain 10 modules based on principles of cognitive behavioural therapy (CBT) and motivational interviewing (MI). Participants in the control group will have access to the full treatment after they complete their final follow-up assessment. The primary outcome will be change in the Alcohol Use Disorders Identification Test (AUDIT) score between the 6-month follow-up and baseline assessments. Secondary outcomes will include the number of standard drinks consumed and alcohol-free days, drinking motives and motivation for change, as well as changes in mental health. Assessments will be completed at baseline, at the end of treatment, and at 6 months follow-up. Data analysis will follow the intention-to-treat principle and employ (generalised) linear mixed models. DISCUSSION: The "Selge" program is the first and only internet program for the intervention of alcohol misuse in Estonia. If proven effective, it will foster progress in the intervention of alcohol misuse in the Estonian population and be implemented as a standard program amidst the continuum of intervention and care.

trial registrationCurrent Controlled Trials ISRCTN48753339 registered 04/06/2019 retrospectively.

Indexed as

AdultAlcohol DrinkingAlcoholismCognitive Behavioral TherapyCounselingEstoniaFemaleHealth BehaviorHumansMaleMotivational InterviewingRandomized Controlled Trials as TopicRetrospective StudiesSelf-Help GroupsTelemedicineTreatment OutcomeAlcohol misuseCognitive behavioural therapyMotivational interviewingOnlineSelf-help

Identifiers

PMID32460799
PMCPMC7251728
OpenAlexW3031001509

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.