Abstract
This article presents a mini-review of the state of personalised intervention research in the field of child and adolescent anxiety. We evaluated narrative, systematic and meta-analytic reviews of key research methodologies and how they relate to current approaches for personalising CBT, specifically. Preliminary evidence of predictors (severity of primary disorder, social anxiety disorder (SoAD), comorbid depression, parental psychopathology, parental involvement and duration of treatment), moderators (type of primary disorder) and mediators (self-talk, coping, problem-solving and comorbid symptoms) of CBT outcomes provides content for several personalised approaches to treatment. Finally, we present a novel conceptual model depicting the state of personalised intervention research in childhood anxiety and propose a research agenda for continued progress.
Highlights
For the past decade, personalised mental health intervention has been touted as the new frontier in clinical psychology
One example of an anxiety metric is the probability of treatment benefit (Lindhiem et al, 2012) modelled on the Child/Adolescent Anxiety Multimodal Study (CAMS) data set
Valuable efforts have been made for standardising psychology research procedures to improve consistency and clarity in how RCTs and other treatment outcome studies are reported (Creswell et al, 2021)
Summary
For the past decade, personalised mental health intervention has been touted as the new frontier in clinical psychology. Some studies found that higher severity of the primary disorder predicted better response (i.e., decrease in anxiety symptoms; Kerns et al, 2013), while others reported poorer outcome (i.e., fewer children diagnosis free) at post-treatment and long-term follow-up (Gibby et al, 2017). Another systematic and meta-analytic review identified two treatment factors with results suggesting that increased parental involvement and longer duration of overall treatment were two robust factors associated with greater CBT effects (Perihan et al, 2020).
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