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

December 25, 2021 updated by: Salus Klinik Lindow

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

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.

Study Overview

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.

Study Type

Interventional

Enrollment (Anticipated)

600

Phase

  • Not Applicable

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

  • Name: Nele Peerenboom
  • Phone Number: 49 3391 39-14210
  • Email: nap42@cam.ac.uk

Study Locations

    • Brandenburg
      • Lindow, Brandenburg, Germany
        • Recruiting
        • Salus Klinik Lindow
        • Contact:
          • Robert Schöneck

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  • A diagnosis of Alcohol dependence / Alcohol Use disorder
  • Taking part in alcohol rehabilitation program in Salus Clinic Lindow or being part of a self-help group

Exclusion Criteria:

  • Visual or motor impairments that would affect the use of smartphones

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: Supportive Care
  • Allocation: Randomized
  • Interventional Model: Parallel Assignment
  • Masking: Quadruple

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
Active Comparator: Active Cognitive Bias App
Participants will receive the Anti-Alcohol App with the Active Cognitive Bias modification, as well as participant diaries assessing alcohol consumption and several questionnaires.
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.
Placebo Comparator: Inactive Cognitive Bias Modification
Participants will receive the Anti-Alcohol App with the Inactive Cognitive Bias Modification, as well as participant diaries assessing alcohol consumption and several questionnaires.
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.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Relapse Rates
Time Frame: 3 months after care
Relapse rates after leaving inpatient care, assessed through standard clinic follow-ups
3 months after care
App Usage
Time Frame: within 3 months after leaving care
Number of times App training has been completed
within 3 months after leaving care
Craving
Time Frame: after 5 training sessions of the app
Craving for alcohol assessed in app, 5 point likert scale with alcohol images, OCDS
after 5 training sessions of the app

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Collaborators

Investigators

  • Principal Investigator: Prof Johannes Lindemeyer, Medizinische Hochschule Brandenburg Theodor Fontane

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

May 23, 2019

Primary Completion (Anticipated)

July 31, 2022

Study Completion (Anticipated)

July 31, 2022

Study Registration Dates

First Submitted

May 10, 2019

First Submitted That Met QC Criteria

May 14, 2019

First Posted (Actual)

May 16, 2019

Study Record Updates

Last Update Posted (Actual)

January 11, 2022

Last Update Submitted That Met QC Criteria

December 25, 2021

Last Verified

December 1, 2021

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

Yes

IPD Plan Description

Anonymised participant data will be shared with the collaborators at Cambridge University

IPD Sharing Supporting Information Type

  • Study Protocol
  • Statistical Analysis Plan (SAP)
  • Informed Consent Form (ICF)
  • Analytic Code

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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