Evidence map›Paper›PMID 21190410›Full record

ArticleSubstance use & misuse2011

Explicating an evidence-based, theoretically informed, mobile technology-based system to improve outcomes for people in recovery for alcohol dependence.

David H Gustafson, Bret R Shaw, Andrew Isham, Timothy Baker, Michael G Boyle, Michael Levy

Registry-linked trialAbstract read
In one paragraph

Article in Substance use & misuse, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01003119 (Developing and Testing a Computer-Based Alcohol Use Disorder Recovery System), which is not on this map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing 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.

NCT01003119 nacompletednot on this map

Developing and Testing a Computer-Based Alcohol Use Disorder Recovery System

TypeinterventionalSponsorUniversity of Wisconsin, MadisonRan2009 to 2012Enrolled350ConditionsAlcohol DependenceArmsAddiction CHESS
3 · Its place in the literature

Who cites it

58 citing papers in PubMed.

  1. Using causal mediation to examine self-efficacy as a mechanism through which continuing care interventions reduce alcohol use.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2024
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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

6 authors.

David H GustafsonNetwork for the Improvement of Addiction Treatment, University of Wisconsin-Madison, Madison, WI 53706, USA.
Bret R Shaw
Andrew Isham
Timothy Baker
Michael G Boyle
Michael Levy

Funding

Developing and Testing a Computer-Based Alcohol Use Disorder Recovery SystemR01AA017192 · NIAAA · UNIVERSITY OF WISCONSIN-MADISON · PI GUSTAFSON, DAVID H · 2008 to 2012
$2.9M
NIAAA NIH HHS R01 AA017192
6 · The paper itself

Abstract

Post-treatment relapse to uncontrolled alcohol use is common. Currently available communication technology can use existing models for relapse prevention to cost-effectively improve long-term relapse prevention. This paper describes: (1) research-based elements of alcohol consumption-related relapse prevention and how they can be encompassed in self-determination theory (SDT) and Marlatt's cognitive behavioral relapse prevention model, (2) how technology could help address the needs of people seeking recovery, (3) a technology-based prototype, organized around sexual transmitted disease and Marlatt's model, and (4) how we are testing a system based on the ideas in this article and related ethical and operational considerations.

Indexed as

Cell PhoneComputers, HandheldSecondary PreventionAdaptation, PsychologicalAlcoholismCognitionCounselingEvidence-Based PracticeHealth PromotionHumansMedical Informatics ApplicationsNational Cancer Institute (U.S.)Program DevelopmentRandomized Controlled Trials as TopicSexually Transmitted DiseasesSocial Support

Identifiers

PMID21190410
PMCPMC3179272

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.