Hostname: page-component-848d4c4894-5nwft Total loading time: 0 Render date: 2024-05-01T11:12:58.689Z Has data issue: false hasContentIssue false

Predictors of smoking cessation treatment attrition in individuals with substance use disorders

Published online by Cambridge University Press:  13 August 2021

G. Aonso-Diego*
Affiliation:
Department Of Psychology, University of Oviedo, Oviedo, Spain
Á. García-Pérez
Affiliation:
Department Of Psychology, University of Oviedo, Oviedo, Spain
S. Weidberg
Affiliation:
Department Of Psychology, University of Oviedo, Oviedo, Spain
R. Secades-Villa
Affiliation:
Department Of Psychology, University of Oviedo, Oviedo, Spain
*
*Corresponding author.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

Attrition rates in smoking cessation treatments are high, particularly in persons with substance use disorders. It is estimated that about 55%% disengage prematurely at treatment, meaning that a large portion will not benefit from smoking abstinence. So far, no previous studies have examined predictors of dropouts in a smoking cessation treatment with persons with SUD.

Objectives

The study was two-fold: 1) to analyze the percentage of early-, late-dropouts and completers, and 2) to examine sociodemographic, psychological, and substance-related predictors of dropouts.

Methods

A total of 86 participants (69.8% males; Mage=43.84, SD=9.917) were randomly assigned to two psychological smoking cessation treatment: cognitive-behavioral treatment (CBT) (n=51) or CBT + contingency management (CM) (n=35). Interventions were delivered during eight consecutive weeks

Results

Of the 86 participants who completed the baseline assessment, 21 did not start treatment, 17 dropped out of treatment during treatment, and the remaining 48 completed the treatment. Predictors of early-dropout were younger age (B=-.234; p=.024; OR=.792) and lower number of days in SUD treatment (B= -.005; p=.026; OR=.995). Patients’ primary substance of use was associated with reduced early-dropouts; compared to cocaine users, alcohol (B=-1.827; p=.043; OR=.161) and opioids (B=-3.408; p=.018; OR=.033) related to improved attrition. Late dropout was directly related to higher number of tobacco use cessation attempts (B=.407; p=.039; OR=1.502).

Conclusions

Incorporating strategies to improve attendance and completion rates in SUD populations should be a priority. Mobile reminders, offering online therapies, or CM to reinforce attendance to therapy may be considered.

Disclosure

No significant relationships.

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of the European Psychiatric Association
Submit a response

Comments

No Comments have been published for this article.