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Mobile Phone Cognitive Bias Modification Research Platform for Substance Use Disorders: Protocol for a Feasibility
Melvyn Zhang1, JiangBo Ying1, Guo Song1
1National Addictions Management Service, Institute of Mental Health, Singapore, Singapore.
JMIR Research Protocols
|June 14, 2018
Summary
This study introduces a customizable mobile platform for cognitive bias modification interventions, enhancing accessibility for various psychiatric and addictive disorders. Future research can compare mobile health approaches with traditional web-based methods for attentional bias modification.
Area of Science:
- Digital Health
- Psychiatry
- Computational Psychology
Background:
- Cognitive biases are automatic tendencies impacting mental health.
- Cognitive bias modification (CBM) interventions show promise but require accessible delivery methods.
- Existing research on mobile health (mHealth) for CBM lacks detailed developmental processes.
Purpose of the Study:
- To describe the design of a novel research platform for customizing CBM interventions.
- To facilitate the development of CBM for psychiatric and addictive disorders using a common platform.
Main Methods:
- A multidisciplinary team developed a server-controlled mobile application for CBM.
- The platform allows real-time data collation and customization of intervention parameters.
- React Native was used for developing an open-sourced, cross-platform mobile application.
Main Results:
- A functional mobile platform for CBM was developed.
- The platform captures reaction time data for computing attentional biases.
- A video demonstration and sample dataset are available.
Conclusions:
- The developed platform supports CBM across diverse disorders.
- This mHealth approach offers a valuable tool for future research.
- Further studies should compare mHealth CBM with web-based interventions.
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