Improving online mental health programs: Tailored assessment meets tailored therapy

The high burden of common mental disorders may be appreciably averted by online self-help programs, which have been proven effective for treatment and prevention in multiple trials. Despite the abundance of programs available to treat or prevent mental disorders, few interventions aim to reduce symptoms of multiple disorders. Using advanced statistical methods to explore existing trials of online programs, this fellowship aims to identify robust predictors, mediators and moderators of program response.