Evidence map›Paper›PMID 34628095›Full record

ArticleDrug and alcohol dependence2021

An application of moderated nonlinear factor analysis to develop a commensurate measure of alcohol problems across four alcohol treatment studies.

Dylan K Richards, Matthew R Pearson, Kevin A Hallgren, Nick Heather, Katie Witkiewitz

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 83% 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

0 citing papers in PubMed, 0 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

5 authors at 3 institutions in 2 countries.

Dylan K RichardsCenter on Alcohol, Substance Use, And Addictions (CASAA), University of New Mexico, United States. Electronic address: dkrichards@unm.edu.
Matthew R PearsonCenter on Alcohol, Substance Use, And Addictions (CASAA), University of New Mexico, United States.
Kevin A HallgrenDepartment of Psychiatry and Behavioral Sciences, University of Washington, United States.
Nick HeatherDepartment of Psychology, Northumbria University, United Kingdom.
Katie WitkiewitzCenter on Alcohol, Substance Use, And Addictions (CASAA), University of New Mexico, United States; Department of Psychology, University of New Mexico, United States.
University of New Mexico · USNorthumbria University · GBUniversity of Washington · US

Funding

Alcohol Research Training: Methods & MechanismsT32AA018108 · NIAAA · UNIVERSITY OF NEW MEXICO · PI Katie A Witkiewitz · 2010 to 2026
$5.6M
Precision Medicine and Recovery in a Telehealth Treatment Program for Alcohol Use DisorderR01AA022328 · NIAAA · UNIVERSITY OF NEW MEXICO · PI Katie A Witkiewitz · 2013 to 2026
$3.1M
Developing a tool to assess, provide feedback, and facilitate discussion of mechanisms of change in frontline addiction treatmentK01AA024796 · NIAAA · UNIVERSITY OF WASHINGTON · PI HALLGREN, KEVIN A. · 2016 to 2020
$870k
Efficacy and neurobiological mechanisms of mobile-delivered cognitive retrainingK01AA023233 · NIAAA · UNIVERSITY OF NEW MEXICO · PI PEARSON, MATTHEW RYAN · 2014 to 2018
$832k
An Ecologically Valid Application of Self-Determination Theory to Understand Responsible Alcohol UseF32AA028712 · NIAAA · UNIVERSITY OF NEW MEXICO · PI RICHARDS, DYLAN K · 2020 to 2022
$189k
NIAAA NIH HHS F32 AA028712NIAAA NIH HHS K01 AA023233NIAAA NIH HHS K01 AA024796NIAAA NIH HHS R01 AA022328NIAAA NIH HHS T32 AA018108
6 · The paper itself

Abstract

backgroundSelf-report measures of alcohol problems are commonly included in studies evaluating treatment and recovery from alcohol use disorder (AUD), but no prior study has examined the replicability of the measurement of alcohol problems across studies with various measures and diverse samples. Further, it is unclear which items may be better indicators of alcohol problems for patient subgroups. In the present study, we integrated data from four large alcohol treatment studies to develop a commensurate measure of alcohol problems using moderated nonlinear factor analysis (MNLFA).

methodsData were from the COMBINE study, Project MATCH, the Relapse Replication and Extension Project (RREP), and the United Kingdom Alcohol Treatment Trial (UKATT), yielding a total sample size of 4414. MNLFA was carried out on the Drinker Inventory of Consequences (COMBINE, MATCH, RREP) and Alcohol Problems Questionnaire (UKATT).

resultsWe successfully created a 78-item commensurate measure of alcohol problems and examined differential item functioning (DIF) by study membership, time, and socio-demographic characteristics. Sixty-two items demonstrated intercept DIF, suggesting differences in rates of item endorsement for clients with the same underlying levels of alcohol problems across patient subgroups. Six items demonstrated loading DIF, suggesting differences in the extent to which the items were indicative of alcohol problems across patient subgroups.

conclusionsThe self-reported measurement of alcohol problems replicates across measures and diverse samples. Items with DIF have clinical implications for the treatment of AUD. Finally, MNLFA scores can be used to test substantive research questions across these studies.

Indexed as

AlcoholismAlcohol-Related DisordersFactor Analysis, StatisticalHumansPsychometricsSurveys and QuestionnairesUnited KingdomAlcohol problemsAlcohol treatmentAlcohol use disorderIntegrative data analysisModerated nonlinear factor analysis

Identifiers

PMID34628095
PMCPMC8671250
OpenAlexW3203035218

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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.