Title
VU SYNTHESIS IPD project
Chief Investigator(s)
Associate Professor Eirini Karyotaki
Organisation
Vrije University Amsterdam, The Netherlands
Summary
Digital interventions are becoming more and more popular for the treatment of common mental health disorders due to their ability to reduce the high costs of psychotherapy and address the problems of self-stigmatization and limited clinician availability. Patients have the option to access digital devices at their own pace either in a guided (guidance with regards to the therapeutic content) or a self-guided format (when no support related to the therapeutic content is provided). Additionally, digital interventions can be used as an adjunctive to face-to-face psychotherapy or in a blended format, where half of the protocolized intervention is delivered synchronously and half through a digital device. Even though, to date, there is substantial evidence supporting the effectiveness of digital interventions in alleviating symptoms of depression and anxiety, it is important to identify potential predictors or moderators that can influence the treatment outcome. By analysing individual patient data collected from numerous studies, we can examine how predictors or moderators, such as participant characteristics (e.g., age, gender, diagnosis) or study-related factors (e.g., levels of support, dropout rates, recruitment strategies), influence the effectiveness of treatment. Ultimately, this approach allows us to determine which interventions are effective and for whom.
Data Resources
Reuse of Data
PrimDISC Reference Number
PD-0013-2023
Date of PrimDISC Approval
26th June 2023