Evidence mapPaperPMID 37055201Full record

ArticleBMJ open2023

Stand Down-Think Before You Drink: protocol for an effectiveness-implementation trial of a mobile application for unhealthy alcohol use with and without peer support.

Daniel M Blonigen, Eric J Hawkins, Eric Kuhn, Christine Timko, Patrick L Dulin, Derek Boothroyd, Kyle Possemato

Registry-linked trialOpen access · goldAbstract readClinical Trial Protocol
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05473598 (Stand Down-Think Before You Drink), which is not on this map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 48% 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.

NCT05473598 naactive not recruitingnot on this map

Stand Down-Think Before You Drink: An RCT of a Mobile App for Hazardous Drinking With Peer Phone Support

TypeinterventionalSponsorVA Office of Research and DevelopmentRan2022 to 2026Enrolled234ConditionsAlcoholismArmsStand Down app, Peer-Supported Stand Down, Usual Care
3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 5 institutions in 1 country.

Daniel M BlonigenHSR&D Center for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, California, USA daniel.blonigen@va.gov.ORCID 0000-0003-3420-6704
Eric J HawkinsCenter of Excellence in Substance Addiction Treatment and Education, US Department of Veterans Affairs, Seattle, Washington, USA.ORCID 0000-0001-5467-1553
Eric KuhnHSR&D Center for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, California, USA.
Christine TimkoHSR&D Center for Innovation to Implementation, VA Palo Alto Health Care System, Menlo Park, California, USA.ORCID 0000-0002-6271-7141
Patrick L DulinDepartment of Psychology, University of Alaska Anchorage, Anchorage, Alaska, USA.
Derek BoothroydQuantitative Sciences Unit, Stanford University School of Medicine, Stanford, California, USA.
Kyle PossematoVA Center for Integrated Healthcare, Syracuse, New York, USA.
VA Palo Alto Health Care System · USStanford University · USSUNY Upstate Medical University · USUnited States Department of Veterans Affairs · USUniversity of Alaska Anchorage · US

Funding

Stand Down-Think Before You Drink: An RCT of a Mobile App for Hazardous Drinking with Peer Phone SupportI01HX003274 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · 2024 to 2025
HSRD VA I01 HX003274HSRD VA IK6 HX003763
6 · The paper itself

Abstract

introductionMobile apps can increase access to alcohol-related care but only if patients actively engage with them. Peers have shown promise for facilitating patients' engagement with mobile apps. However, the effectiveness of peer-based mobile health interventions for unhealthy alcohol use has yet to be evaluated in a randomised controlled trial. The goal of this hybrid I effectiveness-implementation study is to test a mobile app ('Stand Down-Think Before You Drink'), with and without peer support, to improve drinking outcomes among primary care patients. METHODS AND ANALYSIS: In two US Veterans Health Administration (VA) medical centres, 274 primary care patients who screen positive for unhealthy alcohol use and are not currently in alcohol treatment will be randomised to receive usual care (UC), UC plus access to Stand Down (App), or UC plus Peer-Supported Stand Down (PSSD-four peer-led phone sessions over the initial 8 weeks to enhance app engagement). Assessments will occur at baseline and 8-, 20- and 32-weeks postbaseline. The primary outcome is total standard drinks; secondary outcomes include drinks per drinking day, heavy drinking days and negative consequences from drinking. Hypotheses for study outcomes, as well as treatment mediators and moderators, will be tested using mixed effects models. Semi-structured interviews with patients and primary care staff will be analysed using thematic analysis to identify potential barriers and facilitators to implementation of PSSD in primary care. ETHICS AND DISSEMINATION: This protocol is a minimal risk study and has received approval from the VA Central Institutional Review Board. The results have the potential to transform the delivery of alcohol-related services for primary care patients who engage in unhealthy levels of drinking but rarely seek treatment. Study findings will be disseminated through collaborations with healthcare system policymakers as well as publications to scholarly journals and presentations at scientific conferences. TRIAL REGISTRATION NUMBER: NCT05473598.

Indexed as

Mobile ApplicationsHumansRandomized Controlled Trials as TopicMENTAL HEALTHPrimary CareSubstance misuse

Identifiers

PMID37055201
PMCPMC10106019
OpenAlexW4365445599

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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 Socratic graph.