Evidence map›Paper›PMID 39271938›Full record

ArticleNPJ digital medicine2024

A randomized trial testing digital medicine support models for mild-to-moderate alcohol use disorder.

Andrew Quanbeck, Ming-Yuan Chih, Linda Park, Xiang Li, Qiang Xie, Alice Pulvermacher, Samantha Voelker, Rachel Lundwall, Katherine Eby, Bruce Barrett and 1 more

Registry-linked trialAbstract read
In one paragraph

Article in NPJ digital medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04011644 (Integrating mHealth for Alcohol Use Disorders Into Clinical Practice), which is not on this map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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.

NCT04011644 nacompletednot on this map

Integrating mHealth for Alcohol Use Disorders Into Clinical Practice

TypeinterventionalSponsorUniversity of Wisconsin, MadisonRan2020 to 2024Enrolled558ConditionsAlcohol Drinking, TelemedicineArmsA-CHESS self-monitored, A-CHESS peer-supported, A-CHESS clinically-integrated
3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Andrew QuanbeckUniversity of Wisconsin, Department of Family Medicine and Community Health, Madison, WI, USA. andrew.quanbeck@fammed.wisc.edu.
Ming-Yuan ChihUniversity of Kentucky, Department of Health & Clinical Sciences, Lexington, KY, USA.
Linda ParkUniversity of Wisconsin, Department of Family Medicine and Community Health, Madison, WI, USA.
Xiang LiUniversity of Wisconsin, Department of Family Medicine and Community Health, Madison, WI, USA.ORCID http://orcid.org/0000-0002-7221-3174
Qiang XieUniversity of Wisconsin, Department of Family Medicine and Community Health, Madison, WI, USA.ORCID http://orcid.org/0000-0003-3968-9629
Alice PulvermacherUniversity of Wisconsin, Department of Family Medicine and Community Health, Madison, WI, USA.
Samantha VoelkerUniversity of Wisconsin, Department of Family Medicine and Community Health, Madison, WI, USA.
Rachel LundwallUniversity of Wisconsin, Department of Family Medicine and Community Health, Madison, WI, USA.
Katherine EbyUniversity of Wisconsin Hospital & Clinics, Madison, WI, USA.
Bruce BarrettUniversity of Wisconsin, Department of Family Medicine and Community Health, Madison, WI, USA.
Randall BrownUniversity of Wisconsin, Department of Family Medicine and Community Health, Madison, WI, USA.

Funding

Integrating mHealth for Alcohol Use Disorders into Clinical PracticeR01AA024150 · NIAAA · UNIVERSITY OF WISCONSIN-MADISON · PI QUANBECK, ANDREW · 2018 to 2022
$3.3M
MAMMALIAN SIR2 FUNCTION IN PANCREATIC BETA CELLSR01AG024150 · NIA · WASHINGTON UNIVERSITY · PI IMAI, SHIN-ICHIRO · 2004 to 2012
$2.7M
NIAAA NIH HHS R01 AA024150U.S. Department of Health & Human Services | NIH | National Institute on Alcohol Abuse and Alcoholism (NIAAA) R01-AA024150
6 · The paper itself

Abstract

This paper reports the results of a hybrid effectiveness-implementation randomized trial that systematically varied levels of human oversight required to support the implementation of a digital medicine intervention for persons with mild-to-moderate alcohol use disorder (AUD). Participants were randomly assigned to three groups representing possible digital health support models within a health system: self-monitored use (SM; n = 185), peer-supported use (PS; n = 186), or a clinically integrated model CI; (n = 187). Across all three groups, the percentage of self-reported heavy drinking days dropped from 38.4% at baseline (95% CI [35.8%, 41%]) to 22.5% (19.5%, 25.5%) at 12 months. The clinically integrated group showed significant improvements in mental health and quality of life compared to the self-monitoring group (p = 0.011). However, higher attrition rates in the clinically integrated group warrant consideration in interpreting this result. Results suggest that making a self-guided digital intervention available to patients may be a viable option for health systems looking to promote alcohol risk reduction. This study was prospectively registered at clinicaltrials.gov on 7/03/2019 (NCT04011644).

Identifiers

PMID39271938
PMCPMC11399417

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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.