IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i3p752-d312767.html
   My bibliography  Save this article

Gamified M-Health Attention Bias Modification Intervention for Individuals with Opioid Use Disorder: Protocol for a Pilot Randomised Study

Author

Listed:
  • Melvyn W. B. Zhang

    (National Addiction Management Service, Institute of Mental Health, Singapore 539747, Singapore)

  • Sandor Heng

    (National Addiction Management Service, Institute of Mental Health, Singapore 539747, Singapore)

  • Syidda B. Amron

    (National Addiction Management Service, Institute of Mental Health, Singapore 539747, Singapore)

  • Zaakira Mahreen

    (National Addiction Management Service, Institute of Mental Health, Singapore 539747, Singapore)

  • Guo Song

    (National Addiction Management Service, Institute of Mental Health, Singapore 539747, Singapore)

  • Daniel S. S. Fung

    (Institute of Mental Health, Singapore 539747, Singapore)

  • Helen E. Smith

    (Family Medicine and Primary Care, Lee Kong Chian School of Medicine, Nanyang Technological University Singapore, Singapore 308232, Singapore)

Abstract

Introduction : Globally, there is an epidemic of opioid use disorders. Locally, in Singapore, there is an increase in the number of individuals abusing opioids. The advances in experimental psychology have highlighted the need to modify unconscious, automatic biases. These automatic, unconscious biases result in individuals having preferential attention to substance-related cues in their natural environment, thus leading to a slip or relapse back into their underlying addictive disorders. Prior studies have demonstrated not only the presence of robust attentional biases amongst individuals with opioid use disorder, even when maintained on methadone; and the effectiveness of bias modification amongst these individuals. There remains limited evaluation of attention bias modification amongst a treatment-seeking cohort of Asian individuals. The objective of this pilot is to ensure that the methods of the planned definitive randomized trial could be conducted. Methods and Analysis : A non-blinded pilot randomized trial will be conducted. A total of 30 participants will be randomized to receive either the conventional application or the newly designed co-designed application. In order to identify these 30 participants, 60 participants will be recruited and screened to determine if they have baseline biases. Participants will be recruited from the inpatient unit at the National Addictions Management Service (NAMS) Singapore. All participants who are enrolled into the trial will complete a baseline assessment task, and a bias modification assessment and modification task daily. They will have to complete a baseline demographic and clinical information questionnaire, as well as a cravings rating scale before and after the intervention daily. Perspectives—that of self-reported experiences—will be sought from the participants following their completion of three intervention tasks. Descriptive statistical analyses will be performed, and chi-square and ANOVA analyses will be performed. Qualitative analyses will be undertaken for the perspectives shared. Ethics and Dissemination : Ethical approval has been obtained from the National Healthcare Group’s Domain Specific Research Board (DSRB) (approval number that of 2019/00934). The findings arising from this study will be disseminated by means of conferences and publications.

Suggested Citation

  • Melvyn W. B. Zhang & Sandor Heng & Syidda B. Amron & Zaakira Mahreen & Guo Song & Daniel S. S. Fung & Helen E. Smith, 2020. "Gamified M-Health Attention Bias Modification Intervention for Individuals with Opioid Use Disorder: Protocol for a Pilot Randomised Study," IJERPH, MDPI, vol. 17(3), pages 1-10, January.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:752-:d:312767
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/3/752/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/3/752/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Ioana A Cristea & Robin N Kok & Pim Cuijpers, 2016. "The Effectiveness of Cognitive Bias Modification Interventions for Substance Addictions: A Meta-Analysis," PLOS ONE, Public Library of Science, vol. 11(9), pages 1-19, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Doris X.Y. Chia & Melvyn W.B. Zhang, 2020. "A Scoping Review of Cognitive Bias in Internet Addiction and Internet Gaming Disorders," IJERPH, MDPI, vol. 17(1), pages 1-11, January.
    2. Melvyn Weibin Zhang & Jiang Bo Ying & Guo Song & Daniel S. S. Fung & Helen E. Smith, 2018. "Recent Advances in Attention Bias Modification for Substance Addictions," IJERPH, MDPI, vol. 15(4), pages 1-8, April.
    3. Melvyn W.B. Zhang & Jiangbo Ying, 2019. "Incorporating Participatory Action Research in Attention Bias Modification Interventions for Addictive Disorders: Perspectives," IJERPH, MDPI, vol. 16(5), pages 1-11, March.
    4. Melvyn W. B. Zhang & Helen E. Smith, 2020. "Challenges When Evaluating Cognitive Bias Modification Interventions for Substance Use Disorder," IJERPH, MDPI, vol. 17(21), pages 1-7, October.
    5. Melvyn Zhang & Jiangbo Ying & Tracey Wing & Guo Song & Daniel S. S. Fung & Helen Smith, 2018. "A Systematic Review of Attention Biases in Opioid, Cannabis, Stimulant Use Disorders," IJERPH, MDPI, vol. 15(6), pages 1-12, June.
    6. Yi Zhuang Tan & Melvyn W.B. Zhang & Carol C. Choo, 2019. "Perspectives on Modifying Attentional Biases Amongst Individuals with Tobacco Use Disorder Using Technology: A Review," IJERPH, MDPI, vol. 16(15), pages 1-11, July.
    7. Di Pietro Giorgio & European Commission & IZA, 2022. "Studying abroad and earnings: A meta‐analysis," Journal of Economic Surveys, Wiley Blackwell, vol. 36(4), pages 1096-1129, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:752-:d:312767. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.