What Works for Whom: Treatment Selection Approach for Single-Session Interventions for Depression
Update: 2024-02-19
Description
DOI: 10.13056/acamh.26249
In this Papers Podcast, Isaac Ahuvia discusses his JCPP paper ‘Evaluating a treatment selection approach for online single-session interventions for adolescent depression’ (https://doi.org/10.1111/jcpp.13822). Isaac is the lead author of the paper.
There is an overview of the paper, methodology, key findings, and implications for practice.
Discussion points include:
In this Papers Podcast, Isaac Ahuvia discusses his JCPP paper ‘Evaluating a treatment selection approach for online single-session interventions for adolescent depression’ (https://doi.org/10.1111/jcpp.13822). Isaac is the lead author of the paper.
There is an overview of the paper, methodology, key findings, and implications for practice.
Discussion points include:
- Definition of single-session interventions.
- How the treatment selection algorithms were created and tested.
- Implications for future research and front-line clinicians.
- Will these types of machine-learning algorithms be refined to be usable for the future?
In this series, we speak to authors of papers published in one of ACAMH’s three journals. These are The Journal of Child Psychology and Psychiatry (JCPP); The Child and Adolescent Mental Health (CAMH) journal; and JCPP Advances.
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