Evidence map›Paper›PMID 26573732›Full record

ArticleDrug and alcohol dependence2015

Within-session communication patterns predict alcohol treatment outcomes.

Jon M Houck, Theresa B Moyers

Abstract read
In one paragraph

Article in Drug and alcohol dependence, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.2field-weighted citation impact, top 8% 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.

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

12 citing papers in PubMed, 20 citations in OpenAlex.

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  6. Do brief motivational interventions reduce drinking game frequency in mandated students? An analysis of data from two randomized controlled trials.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2017
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  10. Observational
  11. Working memory capacity and addiction treatment outcomes in adolescents.The American journal of drug and alcohol abuse · 2018
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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

2 authors at 1 institution in 1 country.

Jon M HouckCenter on Alcoholism, Substance Abuse, and Addictions, Department of Psychology, 1 University of New Mexico, MSC11 6280, Albuquerque, NM 87131, United States. Electronic address: jhouck@unm.edu.
Theresa B MoyersCenter on Alcoholism, Substance Abuse, and Addictions, Department of Psychology, 1 University of New Mexico, MSC11 6280, Albuquerque, NM 87131, United States. Electronic address: tmoyers@unm.edu.
University of New Mexico · US

Funding

Testing Theory-Based Training in Motivational InterviewingR01DA021227 · NIDA · UNIVERSITY OF NEW MEXICO · PI MOYERS, THERESA B · 2007 to 2010
$1.9M
Imaging Brain Activity in Substance Use TreatmentK01AA021431 · NIAAA · UNIVERSITY OF NEW MEXICO · PI HOUCK, JON M. · 2013 to 2017
$837k
The Effects of Client Change Talk on Risky Sexual BehaviorR03DA035690 · NIDA · UNIVERSITY OF NEW MEXICO · PI HOUCK, JON M. · 2013 to 2014
$312k
NIAAA NIH HHS K01 AA021431NIAAA NIH HHS K01AA021431NIDA NIH HHS L30 DA034353NIDA NIH HHS R01 DA021227NIDA NIH HHS R01DA021227NIDA NIH HHS R03 DA035690NIDA NIH HHS R03DA035690
6 · The paper itself

Abstract

backgroundWithin-session client speech is theorized to be a key mechanism of behavior change in motivational interviewing (MI), a directional, client-centered approach to behavior change. Client change talk (CT: speech indicating movement toward changing a problematic health behavior) and sustain talk (ST: speech supporting continuing a problematic health behavior) have each shown relationships with outcomes. However, it may be the case that patterns of within-session client speech, rather than counts of client speech, are important for producing change.

methodsRecorded initial MI/MET psychotherapy sessions from Project MATCH had been previously rated using the Motivational Interviewing Sequential Code for Observing Process Exchange (MI-SCOPE), a mutually exclusive and exhaustive sequential coding system. From these existing data, session conditional probabilities for transitions of interest (the transition from CT to more CT, and the transition from reflections of CT to CT) were analyzed as empirical Bayes estimates of log-normalized odds ratios.

resultsCT frequencies and these log-normalized odds ratios were entered as independent variables into longitudinal generalized estimating equation (GEE) models predicting within-treatment and post-treatment drinking. While all variables were significant predictors of within-treatment drinking, only the CT-CT transition emerged as a significant predictor of decreased drinking after treatment.

conclusionsThe momentum of a client's speech about change during an MI session may be a better predictor of outcome than is a simple frequency count of it. Attending not only to the mere occurrence of CT, but also recognizing the importance of consecutive client statements of CT, may improve treatment outcomes.

Indexed as

CommunicationMotivational InterviewingAdultAlcoholismBayes TheoremBehavior TherapyFemaleHumansMaleTreatment OutcomeMechanisms of behavior changeMotivational interviewingPsychotherapy processSequential coding

Identifiers

PMID26573732
PMCPMC4663129
OpenAlexW2193355885

What OpenQuestion holds

Textmetadata
LicenceTDM
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.