Web-based cognitive bias intervention for psychiatric disorders: protocol for a systematic review
Background: Traditional psychological therapies focus mainly on modification of individuals’ conscious decision-making process. Unconscious processes, such as cognitive biases, have been found accountable for various psychiatric psychopathologies, and advances in technologies have transformed how bi...
| Autori principali: | , , , , |
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| Natura: | Journal Article |
| Lingua: | English |
| Pubblicazione: |
2018
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| Accesso online: | https://hdl.handle.net/10356/89803 http://hdl.handle.net/10220/46389 |
| _version_ | 1826123992885362688 |
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| author | Zhang, Melvyn Ying, Jiangbo Song, Guo Fung, Daniel Shuen Sheng Smith, Helen |
| author2 | Lee Kong Chian School of Medicine (LKCMedicine) |
| author_facet | Lee Kong Chian School of Medicine (LKCMedicine) Zhang, Melvyn Ying, Jiangbo Song, Guo Fung, Daniel Shuen Sheng Smith, Helen |
| author_sort | Zhang, Melvyn |
| collection | NTU |
| description | Background: Traditional psychological therapies focus mainly on modification of individuals’ conscious decision-making process. Unconscious processes, such as cognitive biases, have been found accountable for various psychiatric psychopathologies, and advances in technologies have transformed how bias modification programs are being delivered. Objective: The primary aim of this review is to synthesize evidence of Web-based cognitive bias modification intervention for bias reduction. The secondary aim is to determine the change in symptoms for individual psychiatric disorders following bias modification. Methods: A systematic review will be conducted including only randomized trials. There will be no restrictions on participants included in the study. A search will be conducted on the respective databases until 2017. Selection of studies will be by the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA-P) guidelines. Quality assessment of included studies will be conducted using the Cochrane Risk of Bias tool. A narrative synthesis of identified articles will then be conducted. A meta-analysis will be considered only if there are sufficient articles in a domain for statistical analysis. Ethical approval for this protocol and the planned systematic review was not required. Results: We expect that the review will be completed 12 months from publication of this protocol. Conclusions: This review is of importance given how technology has transformed delivery of conventional therapies. Findings from this review will guide future research involving technology and cognitive bias modification interventions. |
| first_indexed | 2024-10-01T06:13:24Z |
| format | Journal Article |
| id | ntu-10356/89803 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:13:24Z |
| publishDate | 2018 |
| record_format | dspace |
| spelling | ntu-10356/898032020-11-01T05:22:47Z Web-based cognitive bias intervention for psychiatric disorders: protocol for a systematic review Zhang, Melvyn Ying, Jiangbo Song, Guo Fung, Daniel Shuen Sheng Smith, Helen Lee Kong Chian School of Medicine (LKCMedicine) DRNTU::Science::Medicine Cognitive Bias Modification Attention Bias Modification Background: Traditional psychological therapies focus mainly on modification of individuals’ conscious decision-making process. Unconscious processes, such as cognitive biases, have been found accountable for various psychiatric psychopathologies, and advances in technologies have transformed how bias modification programs are being delivered. Objective: The primary aim of this review is to synthesize evidence of Web-based cognitive bias modification intervention for bias reduction. The secondary aim is to determine the change in symptoms for individual psychiatric disorders following bias modification. Methods: A systematic review will be conducted including only randomized trials. There will be no restrictions on participants included in the study. A search will be conducted on the respective databases until 2017. Selection of studies will be by the Preferred Reporting Items for Systematic Review and Meta-Analyses (PRISMA-P) guidelines. Quality assessment of included studies will be conducted using the Cochrane Risk of Bias tool. A narrative synthesis of identified articles will then be conducted. A meta-analysis will be considered only if there are sufficient articles in a domain for statistical analysis. Ethical approval for this protocol and the planned systematic review was not required. Results: We expect that the review will be completed 12 months from publication of this protocol. Conclusions: This review is of importance given how technology has transformed delivery of conventional therapies. Findings from this review will guide future research involving technology and cognitive bias modification interventions. NMRC (Natl Medical Research Council, S’pore) MOH (Min. of Health, S’pore) Published version 2018-10-19T06:59:57Z 2019-12-06T17:33:51Z 2018-10-19T06:59:57Z 2019-12-06T17:33:51Z 2018 Journal Article Zhang, M., Ying, J., Song, G., Fung, D. S. S., & Smith, H. (2018). Web-Based Cognitive Bias Intervention for Psychiatric Disorders: Protocol for a Systematic Review. JMIR Research Protocols, 7(8), e10427-. doi:10.2196/10427 https://hdl.handle.net/10356/89803 http://hdl.handle.net/10220/46389 10.2196/10427 en JMIR Research Protocols © 2018 Melvyn Zhang, Jiangbo Ying, Guo Song, Daniel SS Fung, Helen Smith. 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. 7 p. application/pdf |
| spellingShingle | DRNTU::Science::Medicine Cognitive Bias Modification Attention Bias Modification Zhang, Melvyn Ying, Jiangbo Song, Guo Fung, Daniel Shuen Sheng Smith, Helen Web-based cognitive bias intervention for psychiatric disorders: protocol for a systematic review |
| title | Web-based cognitive bias intervention for psychiatric disorders: protocol for a systematic review |
| title_full | Web-based cognitive bias intervention for psychiatric disorders: protocol for a systematic review |
| title_fullStr | Web-based cognitive bias intervention for psychiatric disorders: protocol for a systematic review |
| title_full_unstemmed | Web-based cognitive bias intervention for psychiatric disorders: protocol for a systematic review |
| title_short | Web-based cognitive bias intervention for psychiatric disorders: protocol for a systematic review |
| title_sort | web based cognitive bias intervention for psychiatric disorders protocol for a systematic review |
| topic | DRNTU::Science::Medicine Cognitive Bias Modification Attention Bias Modification |
| url | https://hdl.handle.net/10356/89803 http://hdl.handle.net/10220/46389 |
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