Evidence map›Paper›PMID 39693474›Full record

Observational studyJMIR formative research2024

Assessing the Feasibility and Acceptability of the Daybreak Drink Tracker: Prospective Observational Study.

Kathryn Fletcher, Dominique Robert-Hendren

Abstract readObservational Study
In one paragraph

Observational study in JMIR formative research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–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

1 citing paper in PubMed.

  1. More Than Activity: The Effect of Sustained Engagement in Digital Alcohol Support Interventions for Regional and Remote Communities.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2026
    Observational
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

2 authors.

Kathryn FletcherHello Sunday Morning, 103 Alexander Street Crows Nest, Sydney, New South Wales, 2065, Australia, 61 1300 403 196.ORCID 0000-0002-8423-8651
Dominique Robert-HendrenHello Sunday Morning, 103 Alexander Street Crows Nest, Sydney, New South Wales, 2065, Australia, 61 1300 403 196.ORCID 0009-0004-6265-682X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Excessive alcohol use is associated with significant harms, with wide-ranging social and economic impacts. Efforts to prevent and reduce the harmful use of alcohol are a public health priority. Smartphone apps have the potential to provide accessible and cost-effective support to those seeking to reduce alcohol consumption; however, the evidence base regarding which components are effective is lacking. Self-monitoring is considered as one of the most effective components for behavior change across multiple health domains, yet there is mixed evidence for its role in the alcohol use space. An improved understanding of the use, acceptability, and outcomes of smartphone apps and their inherent components is required to determine their potential role in alcohol behavior change. Objective: We investigated the feasibility and acceptability of the Drink Tracker, a novel feature of the commercially available Daybreak (Hello Sunday Morning) app. Methods: The Daybreak app is accessible worldwide via major app stores and is offered free of charge to Australian residents. Individuals (aged over 18 years) registering for Daybreak were invited to access the Drink Tracker to monitor their alcohol consumption as part of an uncontrolled observational prospective study. Feasibility was assessed via uptake and frequency of use of the Drink Tracker. Acceptability was measured via participant feedback to determine overall satisfaction, perceived helpfulness, and likelihood of recommending the Drink Tracker to others. Self-reported changes in alcohol consumption (Alcohol Use Disorders Identification Test score) and psychological distress (Kessler Psychological Distress Scale score) at 3-month follow-up were also measured. Preliminary data collected for the first 4 months (October 2023 to February 2024) of the study were reported, including 3-month follow-up outcomes. Results: Feasibility was demonstrated, with almost 70% (2847/4119) of those registering for Daybreak going on to access the Drink Tracker. Of those accessing the Drink Tracker, 71.1% (n=2024) consented to research, comprising the final participant sample. Frequency of use was high, with over half of participants (1112/2024, 54.9%) using the Drink Tracker more than once, and more than one-third (757/2024, 37.4%) using the Drink Tracker more than 5 times. Of the 30 participants completing a 3-month follow-up, acceptability was high, with 73% (n=22) reporting high satisfaction levels with the Drink Tracker overall, 87% (n=26) indicating it was easy to use and rating a mean score of 7.7 (SD 2.8) out of 10 in terms of likelihood of recommending to others. Significant reductions in alcohol consumption (P<.001) and psychological distress scores (P<.001) were observed at the 3-month follow-up. Conclusions: Our results suggest that the Daybreak Drink Tracker is highly feasible and acceptable in supporting individuals accessing commercially available smartphone apps to change their relationship with alcohol. While positive clinical outcomes were observed, the absence of a control group disallows any conclusions with regard to the efficacy of the Drink Tracker. Further testing via a randomized controlled trial is required.

Indexed as

Alcohol DrinkingFeasibility StudiesMobile ApplicationsAdultAustraliaFemaleHumansMaleMiddle AgedProspective StudiesYoung Adultalcohol useappdigital healthself-monitoringtracker

Identifiers

PMID39693474
PMCPMC11669369

What OpenQuestion holds

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Registered trials

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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.