Evidence map›Paper›PMID 23435273›Full record

ArticleAddictive behaviors2013

Temporal patterns of adherence to medications and behavioral treatment and their relationship to patient characteristics and treatment response.

Ralitza Gueorguieva, Ran Wu, John H Krystal, Dennis Donovan, Stephanie S O'Malley

Abstract read
In one paragraph

Article in Addictive behaviors, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
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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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Ralitza GueorguievaDepartment of Biostatistics, Yale University School of Public Health and School of Medicine, New Haven, CT 06520, USA. ralitza.gueorguieva@yale.edu
Ran Wu
John H Krystal
Dennis Donovan
Stephanie S O'Malley

Funding

Translational Technologies CoreP50AA012870 · NIAAA · YALE UNIVERSITY · PI Matthew J Girgenti · 2001 to 2026
$43.7M
Improving Alcoholism TreatmentK05AA014715 · NIAAA · YALE UNIVERSITY · PI O'MALLEY, STEPHANIE S · 2004 to 2013
$2.1M
Trajectories of Drinking and Compliance in the COMBINE StudyR01AA017173 · NIAAA · YALE UNIVERSITY · PI GUEORGUIEVA, RALITZA, O'MALLEY, STEPHANIE S · 2008 to 2013
$981k
AMINO ACID NEUROTRANSMITTER DYSREGULATION IN ALCOHOLISMK05AA014906 · NIAAA · YALE UNIVERSITY · PI KRYSTAL, JOHN H. · 2004 to 2008
$918k
NIAAA NIH HHS K05 AA014715NIAAA NIH HHS K05 AA014906NIAAA NIH HHS K05 AA14906NIAAA NIH HHS P50 AA012870NIAAA NIH HHS R01 AA017173NIAAA NIH HHS R01AA017173
6 · The paper itself

Abstract

backgroundThe primary analyses of the COMBINE Study revealed significant naltrexone and Combined Behavioral Intervention (CBI) main effects on drinking outcomes but failed to find additional benefits of the combination of treatments. Investigating differences in patterns of adherence over time may shed light on the treatment effects in COMBINE. The goals of the study were to identify trajectories of medication adherence and participation in CBI, to estimate predictive and moderating effects of adherence trajectories on drinking outcomes and to characterize subjects in adherence trajectories. The results of these analyses may suggest approaches to improving adherence in order to ultimately improve treatment outcome.

methodsWe used a trajectory-based approach to identify patterns of treatment adherence separately for naltrexone, acamprosate and CBI adherence. Logistic regression and general linear models assessed associations among adherence trajectories, drinking outcomes and patient characteristics.

resultsThree trajectories of adherence were identified for each treatment: "excellent adherers", "late non-adherers" and "early non-adherers" and there was good agreement among adherence trajectories with different treatments. "Excellent adherers" had significantly higher percent days abstinent (PDA) and lower percent heavy drinking days (PHDD). CBI significantly decreased PHDD for subjects on acamprosate in the "early non-adherers with medication" trajectory (p=0.01). Either naltrexone or acamprosate was associated with lower PHDD than placebo for "early non-adherers with CBI" (p<0.01). Receiving active medication decreased the likelihood to be in the excellent medication adherence trajectory. Younger age, greater drinking severity, dissatisfaction with the medicine and session frequency, adverse events and lack of benefit were related to less favorable medication adherence trajectories. "Excellent adherers with CBI" were significantly more satisfied with the CBI counselor.

conclusionsPatterns of treatment adherence appear to be a participant characteristic. Individuals who fail to adhere early in treatment have worse outcomes regardless of treatment. However, treatment outcomes of participants who exhibit early problems with adherence to one treatment modality could potentially be improved by offering an alternative behavioral or pharmacologic treatment.

Indexed as

Patient ComplianceAcamprosateAdultAlcohol DeterrentsAlcoholismBehavior TherapyCombined Modality TherapyFemaleHumansMaleMedication AdherenceNaltrexonePatient SatisfactionTaurineTime FactorsTreatment OutcomeAcamprosateAlcohol DeterrentsNaltrexoneTaurine

Identifiers

PMID23435273
PMCPMC3595348

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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.