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Evaluating preferences for online psychological interventions to decrease cannabis use in young adults with psychosis: An observational study
Journal article   Open access   Peer reviewed

Evaluating preferences for online psychological interventions to decrease cannabis use in young adults with psychosis: An observational study

Ovidiu Tatar, Amal Abdel-Baki, Alina Dyachenko, Hamzah Bakouni, Arash Bahremand, Philip G. Tibbo, David Crockford, Marc-André Roy, Jan Copeland, Benedikt Fischer, …
Psychiatry Research, Vol.326, pp.1-10
2023
PMID: 37301021
Appears in  Thompson Institute Research Collection
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Evaluating preferences for online psychological interventions to decrease cannabis use in young adults with psychosis An observational study1.03 MBDownloadView
Published Version Open Access CC BY-NC-ND V4.0
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https://doi.org/10.1016/j.psychres.2023.115276View
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Abstract

App-based intervention Best-Worst Scaling Cannabis use disorder Digital health eHealth First episode psychosis Mental health mHealth Mobile health Smartphone Survey Youth Other Collaborations Thompson Institute Special Collection UniSC Diversity Area - Disability and Inclusion UniSC Diversity Area - Life Stages
Innovative technology-based solutions have the potential to improve access to clinically proven interventions for cannabis use disorder (CUD) in individuals with first episode psychosis (FEP). High patient engagement with app-based interventions is critical for achieving optimal outcomes. 104 individuals 18 to 35 years old with FEP and CUD from three Canadian provinces completed an electronic survey to evaluate preferences for online psychological intervention intensity, participation autonomy, feedback related to cannabis use, and technology platforms and app functionalities. The development of the questionnaire was informed by a qualitative study that included patients and clinicians. We used Best-Worst Scaling (BWS) and item ranking methodologies to measure preferences. Conditional logistic regression models for BWS data revealed high preferences for moderate intervention intensity (e.g., modules with a length of 15 min) and treatment autonomy that included preferences for using technology-based interventions and receiving feedback related to cannabis use once a week. Luce regression models for rank items revealed high preferences for smartphone-based apps, video intervention components, and having access to synchronous communications with clinicians and gamification elements. Results informed the development of iCanChange (iCC), a smartphone-based intervention for the treatment of CUD in individuals with FEP that is undergoing clinical testing.

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