Evidence map›Paper›PMID 29853435›Full record

ArticleJMIR research protocols2018

A Participatory Health Promotion Mobile App Addressing Alcohol Use Problems (The Daybreak Program): Protocol for a Randomized Controlled Trial.

Robert J Tait, Jessica J L Kirkman, Michael P Schaub

Abstract read
In one paragraph

Article in JMIR research protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

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

  1. Digital Help for Substance Users (SU): A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  2. Pooled it
  3. Trial
  4. Dealing with Loved Ones' Addiction: Development of an App to Cope with Caregivers' Stress.International journal of environmental research and public health · 2022
    Article
  5. Article
  6. Citizen Science Models in Health Research: an Australian Commentary.Online journal of public health informatics · 2019
    Article
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.

Robert J TaitNational Drug Research Institute, Faculty of Health Sciences, Curtin University, Perth, Australia.ORCID http://orcid.org/0000-0003-0648-3093
Jessica J L KirkmanHello Sunday Morning, Sydney, Australia.ORCID http://orcid.org/0000-0002-6804-3811
Michael P SchaubSwiss Research Institute for Public Health and Addiction, University of Zurich, Zurich, Switzerland.ORCID http://orcid.org/0000-0002-8375-4005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAt-risk patterns of alcohol use are prevalent in many countries with significant costs to individuals, families, and society. Screening and brief interventions, including with Web delivery, are effective but with limited translation into practice to date. Previous observational studies of the Hello Sunday Morning approach have found that their unique Web-based participatory health communication method has resulted in a reduction of at-risk alcohol use between baseline and 3 months. The Hello Sunday Morning blog program asks participants to publicly set a personal goal to stop drinking or reduce their consumption for a set period of time, and to record their reflections and progress on blogs and social networks. Daybreak is Hello Sunday Morning's evidence-based behavior change program, which is designed to support people looking to change their relationship with alcohol.

objectiveThis study aims to systematically evaluate different versions of Hello Sunday Morning's Daybreak program (with and without coaching support) in reducing at-risk alcohol use.

methodsWe will use a between groups randomized control design. New participants enrolling in the Daybreak program will be eligible to be randomized to receive either (1) the Daybreak program, including peer support plus behavioral experiments (these encourage and guide participants in developing new skills in the areas of mindfulness, connectedness, resilience, situational strategies, and health), or (2) the Daybreak program, including the same peer support plus behavioral experiments, but with online coaching support. We will recruit 467 people per group to detect an effect size of f=0.10. To be eligible, participants must be resident in Australia, aged ≥18 years, score ≥8 on the alcohol use disorders identification test (AUDIT), and not report prior treatment for cardiovascular disease.

resultsThe primary outcome measure will be reduction in the AUDIT-Consumption (AUDIT-C) scores. Secondary outcomes include mental health (Kessler's K-10), days out of role (Kessler), alcohol consumed (measured with a 7-day drinking diary in standard 10 g drinks), and alcohol-related harms (CORE alcohol and drug survey). We will collect data at baseline and 1, 3, and 6 months and analyze them with random effects models, given the correlated data structure.

conclusionsA randomized trial is required to provide robust evidence of the impact of the online coaching component of the Daybreak program, including over an extended period.

trial registrationAustralian New Zealand Clinical Trials Registry ACTRN12618000010291; https://www.anzctr.org.au/Trial/Registration/TrialReview.aspx?id=373110 (Archived by WebCite at http://www.webcitation.org/6zKRmp0aC). REGISTERED REPORT IDENTIFIER: RR1-10.2196/9982.

Indexed as

alcohol drinkingevaluation studieshealth promotioninternetsocial marketing

Identifiers

PMID29853435
PMCPMC6002672

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.