Publication

Internet-based attentional bias modification training as add-on to regular treatment in alcohol and cannabis depemdemt outpatients

Heitmann, J., van Hemel-Ruiter, M. & Jong, de, P., May-2017.

Research output: Contribution to conferenceAbstractAcademic

APA

Heitmann, J., van Hemel-Ruiter, M., & Jong, de, P. (2017). Internet-based attentional bias modification training as add-on to regular treatment in alcohol and cannabis depemdemt outpatients. Abstract from Rome Workshop on Experimental Psychopathology 2017, Rome, Italy.

Author

Heitmann, Janika ; van Hemel-Ruiter, Madelon ; Jong, de, Peter. / Internet-based attentional bias modification training as add-on to regular treatment in alcohol and cannabis depemdemt outpatients. Abstract from Rome Workshop on Experimental Psychopathology 2017, Rome, Italy.

Harvard

Heitmann, J, van Hemel-Ruiter, M & Jong, de, P 2017, 'Internet-based attentional bias modification training as add-on to regular treatment in alcohol and cannabis depemdemt outpatients', Rome Workshop on Experimental Psychopathology 2017, Rome, Italy, 26/05/2017 - 27/05/2017.

Standard

Internet-based attentional bias modification training as add-on to regular treatment in alcohol and cannabis depemdemt outpatients. / Heitmann, Janika; van Hemel-Ruiter, Madelon ; Jong, de, Peter.

2017. Abstract from Rome Workshop on Experimental Psychopathology 2017, Rome, Italy.

Research output: Contribution to conferenceAbstractAcademic

Vancouver

Heitmann J, van Hemel-Ruiter M, Jong, de P. Internet-based attentional bias modification training as add-on to regular treatment in alcohol and cannabis depemdemt outpatients. 2017. Abstract from Rome Workshop on Experimental Psychopathology 2017, Rome, Italy.


BibTeX

@conference{f6eaad845da04058aadf8a2926eba7f1,
title = "Internet-based attentional bias modification training as add-on to regular treatment in alcohol and cannabis depemdemt outpatients",
abstract = "The tendency to attend to and focus on substance-related cues in the environment (i.e., attentional bias) has been found to contribute to the persistence of addiction. This attentional bias can be modified with computerized attentional bias modification (ABM) tasks. Modifying attentional bias might positively contribute to treatment outcome and the reduction of relapse rates in addiction. However, the successful modification of attentional bias has often not resulted in clinically meaningful changes of symptoms. This might be due to the context in which they are performed, the static characteristics, and the intensity of these trainings.Our currently running multi-centre RCT (recruitment April 2016 until May 2017) investigates the effectiveness and cost-efficacy of a new developed ABM intervention. This intervention is a dynamic home-delivered multi-session online training, and is provided as an add-on to treatment as usual (TAU), cognitive behavioural therapy (CBT). Participants are outpatients diagnosed with alcohol or cannabis dependency. They are randomly assigned to one of the following three conditions: TAU + iABM; TAU + placebo training; TAU-only. There is a pre- and a post-measurement as well as a 6 and 12 months follow-up. This RCT is the first to investigate the effectiveness of an add-on internet-based ABM intervention in reducing relapse rates in alcohol and cannabis dependency. If proven effective, this ABM intervention can be easily implemented as a home-delivered component of current CBT. In this contribution I will present the design of the study, illustrate and explain the ABM intervention, and address the latest developments of the study.",
author = "Janika Heitmann and {van Hemel-Ruiter}, Madelon and {Jong, de}, Peter",
year = "2017",
month = "5",
language = "English",
note = "Rome Workshop on Experimental Psychopathology 2017 ; Conference date: 26-05-2017 Through 27-05-2017",

}

RIS

TY - CONF

T1 - Internet-based attentional bias modification training as add-on to regular treatment in alcohol and cannabis depemdemt outpatients

AU - Heitmann, Janika

AU - van Hemel-Ruiter, Madelon

AU - Jong, de, Peter

PY - 2017/5

Y1 - 2017/5

N2 - The tendency to attend to and focus on substance-related cues in the environment (i.e., attentional bias) has been found to contribute to the persistence of addiction. This attentional bias can be modified with computerized attentional bias modification (ABM) tasks. Modifying attentional bias might positively contribute to treatment outcome and the reduction of relapse rates in addiction. However, the successful modification of attentional bias has often not resulted in clinically meaningful changes of symptoms. This might be due to the context in which they are performed, the static characteristics, and the intensity of these trainings.Our currently running multi-centre RCT (recruitment April 2016 until May 2017) investigates the effectiveness and cost-efficacy of a new developed ABM intervention. This intervention is a dynamic home-delivered multi-session online training, and is provided as an add-on to treatment as usual (TAU), cognitive behavioural therapy (CBT). Participants are outpatients diagnosed with alcohol or cannabis dependency. They are randomly assigned to one of the following three conditions: TAU + iABM; TAU + placebo training; TAU-only. There is a pre- and a post-measurement as well as a 6 and 12 months follow-up. This RCT is the first to investigate the effectiveness of an add-on internet-based ABM intervention in reducing relapse rates in alcohol and cannabis dependency. If proven effective, this ABM intervention can be easily implemented as a home-delivered component of current CBT. In this contribution I will present the design of the study, illustrate and explain the ABM intervention, and address the latest developments of the study.

AB - The tendency to attend to and focus on substance-related cues in the environment (i.e., attentional bias) has been found to contribute to the persistence of addiction. This attentional bias can be modified with computerized attentional bias modification (ABM) tasks. Modifying attentional bias might positively contribute to treatment outcome and the reduction of relapse rates in addiction. However, the successful modification of attentional bias has often not resulted in clinically meaningful changes of symptoms. This might be due to the context in which they are performed, the static characteristics, and the intensity of these trainings.Our currently running multi-centre RCT (recruitment April 2016 until May 2017) investigates the effectiveness and cost-efficacy of a new developed ABM intervention. This intervention is a dynamic home-delivered multi-session online training, and is provided as an add-on to treatment as usual (TAU), cognitive behavioural therapy (CBT). Participants are outpatients diagnosed with alcohol or cannabis dependency. They are randomly assigned to one of the following three conditions: TAU + iABM; TAU + placebo training; TAU-only. There is a pre- and a post-measurement as well as a 6 and 12 months follow-up. This RCT is the first to investigate the effectiveness of an add-on internet-based ABM intervention in reducing relapse rates in alcohol and cannabis dependency. If proven effective, this ABM intervention can be easily implemented as a home-delivered component of current CBT. In this contribution I will present the design of the study, illustrate and explain the ABM intervention, and address the latest developments of the study.

M3 - Abstract

ER -

ID: 51482951