Attention bias in individuals with addictive disorders : systematic review protocol

Background: Globally, substance disorders, particularly that of opiate use, cannabis use, and stimulant use disorders, are highly prevalent. Psychological treatments are an integral aspect of intervention, but a proportion of individuals still relapse despite having received such an intervention. Re...

Full description

Saved in:
Bibliographic Details
Main Authors: Zhang, Melvyn, Ying, JiangBo, Song, Guo, Ho, Roger CM, Smith, Helen, Fung, Daniel Shuen Sheng
Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
Format: Article
Language:English
Published: 2019
Subjects:
Online Access:https://hdl.handle.net/10356/106253
http://hdl.handle.net/10220/48921
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-106253
record_format dspace
spelling sg-ntu-dr.10356-1062532020-11-01T05:16:14Z Attention bias in individuals with addictive disorders : systematic review protocol Zhang, Melvyn Ying, JiangBo Song, Guo Ho, Roger CM Smith, Helen Fung, Daniel Shuen Sheng Lee Kong Chian School of Medicine (LKCMedicine) Department of Family Medicine and Primary Care Substance Addiction DRNTU::Science::Medicine Attention Bias Background: Globally, substance disorders, particularly that of opiate use, cannabis use, and stimulant use disorders, are highly prevalent. Psychological treatments are an integral aspect of intervention, but a proportion of individuals still relapse despite having received such an intervention. Recently, the dual-process theory proposed that the unconscious processes of attention biases are responsible for these relapses. Prior meta-analyses have reported the presence of attention bias in alcohol and tobacco use disorders. More recent research has examined attention bias and its effectiveness in opiate use, cannabis use, and stimulant use disorder. The evidence syntheses to date have not examined whether attention bias is present in these disorders and could be subjected to manipulation. This is important information and would support the introduction of psychological interventions for attention bias for such patients. Such psychological interventions would help individuals maintain their abstinence and minimize the risk of relapse. Objective: This paper aims to undertake a systematic review to synthesize the existing evidence for the presence of attention bias in all the disorders mentioned above, and to determine the clinical efficacy of attention bias modification. Methods: A systematic review will be conducted. A search will be conducted on the respective databases up till 2017. Selection of the studies will be determined by the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. Quality assessment of the included studies will be assessed using the Cochrane Risk of Bias tool. A narrative synthesis will be conducted, with a meta-analysis considered only if there are sufficient studies for statistical analysis. Results: The results of the systematic review will be available 12 months after the publication of this protocol. Conclusions: This review is important as it will support the introduction of psychological interventions for attention bias for such patients. Such psychological interventions would help individuals maintain their abstinence and minimize the risk of relapse. Published version 2019-06-24T05:01:32Z 2019-12-06T22:07:29Z 2019-06-24T05:01:32Z 2019-12-06T22:07:29Z 2018 Journal Article Zhang, M., Ying, J., Song, G., Ho, R. C., Fung, D. S. S., & Smith, H. (2018). Attention bias in individuals with addictive disorders : systematic review protocol. JMIR Research Protocols, 7(2), e41-. doi:10.2196/resprot.9385 https://hdl.handle.net/10356/106253 http://hdl.handle.net/10220/48921 10.2196/resprot.9385 en JMIR Research Protocols © 2018 Melvyn Zhang, JiangBo Ying, Guo Song, Roger CM Ho, Daniel SS Fung, Helen Smith. Originally published in JMIR Research Protocols (http://www.researchprotocols.org), 08.02.2018. This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Research Protocols, is properly cited. The complete bibliographic information, a link to the original publication on http://www.researchprotocols.org, as well as this copyright and license information must be included. 6 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Substance Addiction
DRNTU::Science::Medicine
Attention Bias
spellingShingle Substance Addiction
DRNTU::Science::Medicine
Attention Bias
Zhang, Melvyn
Ying, JiangBo
Song, Guo
Ho, Roger CM
Smith, Helen
Fung, Daniel Shuen Sheng
Attention bias in individuals with addictive disorders : systematic review protocol
description Background: Globally, substance disorders, particularly that of opiate use, cannabis use, and stimulant use disorders, are highly prevalent. Psychological treatments are an integral aspect of intervention, but a proportion of individuals still relapse despite having received such an intervention. Recently, the dual-process theory proposed that the unconscious processes of attention biases are responsible for these relapses. Prior meta-analyses have reported the presence of attention bias in alcohol and tobacco use disorders. More recent research has examined attention bias and its effectiveness in opiate use, cannabis use, and stimulant use disorder. The evidence syntheses to date have not examined whether attention bias is present in these disorders and could be subjected to manipulation. This is important information and would support the introduction of psychological interventions for attention bias for such patients. Such psychological interventions would help individuals maintain their abstinence and minimize the risk of relapse. Objective: This paper aims to undertake a systematic review to synthesize the existing evidence for the presence of attention bias in all the disorders mentioned above, and to determine the clinical efficacy of attention bias modification. Methods: A systematic review will be conducted. A search will be conducted on the respective databases up till 2017. Selection of the studies will be determined by the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. Quality assessment of the included studies will be assessed using the Cochrane Risk of Bias tool. A narrative synthesis will be conducted, with a meta-analysis considered only if there are sufficient studies for statistical analysis. Results: The results of the systematic review will be available 12 months after the publication of this protocol. Conclusions: This review is important as it will support the introduction of psychological interventions for attention bias for such patients. Such psychological interventions would help individuals maintain their abstinence and minimize the risk of relapse.
author2 Lee Kong Chian School of Medicine (LKCMedicine)
author_facet Lee Kong Chian School of Medicine (LKCMedicine)
Zhang, Melvyn
Ying, JiangBo
Song, Guo
Ho, Roger CM
Smith, Helen
Fung, Daniel Shuen Sheng
format Article
author Zhang, Melvyn
Ying, JiangBo
Song, Guo
Ho, Roger CM
Smith, Helen
Fung, Daniel Shuen Sheng
author_sort Zhang, Melvyn
title Attention bias in individuals with addictive disorders : systematic review protocol
title_short Attention bias in individuals with addictive disorders : systematic review protocol
title_full Attention bias in individuals with addictive disorders : systematic review protocol
title_fullStr Attention bias in individuals with addictive disorders : systematic review protocol
title_full_unstemmed Attention bias in individuals with addictive disorders : systematic review protocol
title_sort attention bias in individuals with addictive disorders : systematic review protocol
publishDate 2019
url https://hdl.handle.net/10356/106253
http://hdl.handle.net/10220/48921
_version_ 1683493391348793344