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Efficacy of Cognitive Bias Modification in Residential Treatment for Addiction

2016-12-22 21:23:22 | BioPortfolio

Summary

The purpose of this study is to determine whether computer bias modification for interpretation bias (CBM-I) is effective in the reduction of suicidal ideation in substance use disorders.

Description

Eighty-eight adult inpatients completing residential treatment in the Addictions Services at the Centre for Addiction and Mental Health (CAMH) will be randomized to receive CBM-I daily for one week, adjunct to the residential psychosocial treatment or to an assessment-only control condition. Participants will complete clinical measures consisting of interviews and questionnaires measuring suicidal ideation, hopelessness, depression, negative affect, and interpretation biases before, during and after treatment.

Study Design

Allocation: Randomized, Endpoint Classification: Efficacy Study, Intervention Model: Parallel Assignment, Masking: Single Blind (Outcomes Assessor), Primary Purpose: Treatment

Conditions

Substance Dependence

Intervention

Cognitive Bias Modification

Location

Centre for Addiction and Mental Health
Toronto
Ontario
Canada
M5T 1R8

Status

Not yet recruiting

Source

Centre for Addiction and Mental Health

Results (where available)

View Results

Links

Published on BioPortfolio: 2016-12-22T21:23:22-0500

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Medical and Biotech [MESH] Definitions

The influence of study results on the chances of publication and the tendency of investigators, reviewers, and editors to submit or accept manuscripts for publication based on the direction or strength of the study findings. Publication bias has an impact on the interpretation of clinical trials and meta-analyses. Bias can be minimized by insistence by editors on high-quality research, thorough literature reviews, acknowledgement of conflicts of interest, modification of peer review practices, etc.

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Any deviation of results or inferences from the truth, or processes leading to such deviation. Bias can result from several sources: one-sided or systematic variations in measurement from the true value (systematic error); flaws in study design; deviation of inferences, interpretations, or analyses based on flawed data or data collection; etc. There is no sense of prejudice or subjectivity implied in the assessment of bias under these conditions.

Adverse of favorable selection bias exhibited by insurers or enrollees resulting in disproportionate enrollment of certain groups of people.

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