Related Experiment Video
Updated: Sep 18, 2025

Chronic Intermittent Ethanol Vapor Exposure Paired with Two-Bottle Choice to Model Alcohol Use Disorder
Published on: June 23, 2023
Keep on Keeping on? Patient Factors Predicting Discontinuation in Alcohol Use Disorder Treatment
Kristoffer Høiland1, Espen Kristian Ajo Arnevik2,3, Lien My Diep4
1Vestfold Hospital Trust, Tønsberg, Norway.
Understanding predictors of treatment discontinuation is key for alcohol use disorder (AUD) patients. Higher executive functioning (EF) predicts better treatment retention, informing tailored interventions.
Area of Science:
- Addiction Medicine
- Clinical Psychology
- Neuroscience
Background:
- Many patients with alcohol use disorder (AUD) discontinue treatment prematurely.
- Identifying predictors of discontinuation is crucial for improving treatment retention and patient outcomes.
- Tailoring interventions based on patient characteristics can enhance treatment adherence.
Purpose of the Study:
- To identify predictors of treatment completion versus discontinuation in individuals with AUD.
- To analyze baseline characteristics associated with treatment retention in a multi-site study.
- To inform clinical practice by understanding factors influencing AUD treatment dropout.
Main Methods:
- Analysis of 136 patients from a multi-site AUD group treatment study.
- Baseline assessments included measures of alcohol/drug use, psychological symptoms, personality, and cognitive functioning.
- Univariate and binary logistic regression analyses were used to identify significant predictors of treatment discontinuation.
Main Results:
- Overall, 23.5% of participants discontinued treatment.
- No significant differences were found between completers and discontinuers in sociodemographics, substance use, mental health, or personality functioning.
- Higher executive functioning (EF) was a significant predictor of decreased risk for treatment discontinuation.
Conclusions:
- Executive functioning (EF) is a key predictor of treatment retention in AUD.
- Clinicians should assess EF prior to treatment to guide personalized interventions.
- Improving treatment planning based on EF can enhance patient retention and outcomes in AUD treatment.
More Related Videos
05:40The Motivation for Alcohol Reward: Predictors of Progressive-Ratio Intravenous Alcohol Self-Administration in Humans
Published on: April 28, 2022
08:05A Prediction Error-driven Retrieval Procedure for Destabilizing and Rewriting Maladaptive Reward Memories in Hazardous Drinkers
Published on: January 5, 2018
Related Concept Videos
Substance Use Disorders Affecting Sleep
Understanding the concepts of physical dependence,...
CNS Depressants: Alcohol and Nicotine
Drug Dependence
Factors Affecting Protein-Drug Binding: Patient-Related Factors
Age stands as a key determinant in protein-drug binding. Neonates, characterized by low albumin content, experience heightened concentrations of unbound drugs such as phenytoin and...
Factors Affecting Drug Response: Overview
Drug Abuse and Addiction: Pharmacological Phenomena