Evidence map›Paper›PMID 28476276›Full record

Trial reportJournal of substance abuse treatment2017

The clinical utility of the Medication Adherence Questionnaire (MAQ) in an alcohol pharmacotherapy trial.

A Zweben, M E Piepmeier, L Fucito, S S O'Malley

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of substance abuse treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Trial
  4. Article
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

4 authors at 2 institutions in 1 country.

A ZwebenColumbia University School of Social Work, New York, NY, United States. Electronic address: az173@columbia.edu.
M E PiepmeierColumbia University School of Social Work, New York, NY, United States.
L FucitoYale University School of Medicine, Department of Psychiatry, New Haven, CT, United States.
S S O'MalleyYale University School of Medicine, Department of Psychiatry, New Haven, CT, United States.
Columbia University · USYale University · US

Funding

1/2-Multi-site Study: Varenicline Treatment of Alcohol Dependent SmokersR01AA020388 · NIAAA · YALE UNIVERSITY · PI O'MALLEY, STEPHANIE S · 2012 to 2015
$2.1M
Improving Alcoholism TreatmentK05AA014715 · NIAAA · YALE UNIVERSITY · PI O'MALLEY, STEPHANIE S · 2004 to 2013
$2.1M
2/2-Multisite Study: Varenicline for Alcohol Dependent SmokersR01AA020389 · NIAAA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI ZWEBEN, ALLEN · 2012 to 2015
$950k
New Approaches to Smoking Cessation in Heavy DrinkersK23AA020000 · NIAAA · YALE UNIVERSITY · PI FUCITO, LISA M · 2011 to 2016
$755k
NIAAA NIH HHS K05 AA014715NIAAA NIH HHS K23 AA020000NIAAA NIH HHS R01 AA020388NIAAA NIH HHS R01 AA020389
6 · The paper itself

Abstract

backgroundMedication nonadherence is a ubiquitous problem in pharmacology treatment for alcohol use disorders. Unintentional and purposeful nonadherence as measured by the Medication Adherence Questionnaire (MAQ) has been shown to predict problems with medication adherence; however, feedback from the MAQ has never been incorporated into a behavioral intervention to facilitate medication adherence. We assessed the integration of the MAQ into medical management (MM), a counseling approach frequently employed in conjunction with alcohol pharmacotherapy, to determine whether prior patterns of nonadherence could be addressed effectively to promote medication adherence.

methodsWe conducted a post-hoc analysis of data from 131 alcohol dependent smokers who participated in a double blind, placebo controlled study of varenicline for the treatment of alcohol dependence. At baseline, participants completed a single administration of the MAQ, which asks 2 questions about unintentional nonadherence (e.g., forgetting) and 2 questions about purposeful nonadherence (e.g., stopping because feeling good or feeling bad). Based on these responses, participants were divided into 1 of 3 three categories. Adherent (n=60), Unintentional or Purposeful Nonadherent (n=50) and Unintentional and Purposeful Nonadherent (n=21). Over the course of the 16-week treatment period, patients were expected to participate in 12 medical management (MM) sessions; a brief psychosocial treatment. Feedback based on the MAQ responses was integrated into the MM sessions to facilitate medication and treatment adherence.

resultsThe 3 adherence groups were compared on baseline characteristics, medication adherence, treatment attendance and end-of-treatment patient ratings of treatment helpfulness. Baseline demographics and characteristics were not significantly different among the three categories. We found no statistically significant differences among the three groups with respect to pill adherence, treatment attendance, and treatment satisfaction ratings.

conclusionsThe findings suggest that the incorporation of MAQ feedback into the MM approach could be effective in mitigating risks associated with prior patterns of nonadherence suggesting that further testing of the integrated behavioral approach is warranted.

Indexed as

Surveys and QuestionnairesAdultAlcoholismCombined Modality TherapyDouble-Blind MethodFemaleHumansMaleMedication AdherenceMiddle AgedNicotinic AgonistsPatient SatisfactionSmokingSmoking CessationVareniclineNicotinic AgonistsVareniclineAlcohol pharmacotherapyMedical managementMedication adherenceMedication Adherence QuestionnaireVarenicline

Identifiers

PMID28476276
PMCPMC5480370
OpenAlexW2605302609

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.