NCT03952429

A Smartphone Based Intervention for the Prevention of Relapse in Alcohol Dependence

SPIRA: Development of a Smartphone Based Intervention for the Prevention of Relapse in Alcohol Dependence

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 600 (estimated)
• Sponsor: Salus Klinik Lindow · Network
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

The rate of relapse following an inpatient alcohol rehabilitation program has been around 50% for a number of years. Offered treatments mainly focus on conscious and controllable aspects of behaviour, but research has found that much of the craving in addiction is guided by automatic processes, which are for a large part unconscious and poorly controlled by the individual. One way to influence these automatic processes is by applying cognitive bias modification, a cognitive-behavioural intervention that can be applied by a computer application. In alcohol addition, a common cognitive bias is the Alcohol-Approach bias. The Anti-Alcohol Training is a form of cognitive bias modification that was developed to reduce this approach bias and it has been shown to reduce the rates of relapse by 4-8%. A drawback of the training is that patients do not continue this at home after discharge. One way to increase accessibility is to offer the training in an app-game form. In this study the investigators have developed a smartphone based training app that allows patients to more easily use the Anti-Alcohol training at home after discharge. The study aims to assess whether use of the app further reduces the alcohol bias and whether it can reduce yearly relapse rates.

Detailed description

The rate of relapse following an inpatient alcohol rehabilitation program has been around 50% for a number of years, in spite of many initiatives to try and reduce relapse. One of the reasons could be that the offered treatments mainly focus on conscious and controllable aspects of behaviour. Recent research has however found that much of the craving in addiction is guided by automatic processes, which are for a large part unconscious and poorly controlled by the individual. Unsurprisingly, many attempts have therefore been made in addition research to reduce these automatic impulsive behaviour and improve the control processes. One way to influence these automatic processes is by applying cognitive bias modification, a cognitive-behavioural intervention that can be applied by a computer application. In alcohol addition, a common cognitive bias is the Alcohol-Approach bias, the tendency to automatically approach alcohol. The Anti-Alcohol Training is a form of cognitive bias modification that was developed to reduce this approach bias. Studies have shows that this training can reduce the rates of relapse by 4-8%. A drawback of the training is that patients often do not continue this at home after discharge, probably due to low motivation. One way to resolve this issue could be to offer the training in an App-game form, which would make it more accessible and inviting to continue using it after return home. In this study the investigators have developed a smartphone based training app that allows patients to more easily use the Anti-Alcohol training at home after discharge. The study aims to assess whether alcohol dependent patients continue to use this app at home, whether the use of the app further reduces the alcohol bias, and finally whether it can reduce yearly relapse rates.

Conditions

• Alcohol Dependence
• Alcohol Abuse
• Alcohol Use Disorder

Interventions

Type	Name	Description
BEHAVIORAL	Anti Alcohol App with Active Cognitive Bias	The active version includes an active form of cognitive bias modification, i.e. the user has to avoid alcohol stimuli 90% of the time, while they approach soft drinks 90% of the time.
BEHAVIORAL	Inactive Cognitive Bias Modification	The control version includes an placebo form of cognitive bias modification, i.e. the users avoid and approach alcohol and softdrink stimuli for an equal number of trials.

Timeline

• Start date: 2019-05-23
• Primary completion: 2022-07-31
• Completion: 2022-07-31
• First posted: 2019-05-16
• Last updated: 2022-01-11

Locations

1 site across 1 country: Germany