Towards Personalized Treatment: A Network Approach
Personalized treatment towards psychological disorders is understudied and may contribute to better treatment for patients. Through the use of network analysis new understanding of moderators and mechanisms of treatment outcome may be achieved.
About the project
Research has for decades attempted to enhance the efficacy of psychological treatment for psychological disorders, but real progress is still lacking. As mental disorders increasingly contribute to the overall burden of health-costs, innovative approaches are necessary. In recent years, novel methods and statistical techniques argued to be better equipped with answering questions related to the personalization of psychological interventions such as network analysis have been developed. These novel statistical tools has proven to provide more refined ways of understanding comorbidity; predicting the future course of symptoms; and gaining insight into the patient specific psychological mechanisms responsible for the development, and finding factors underlying the maintenance of psychological disorders.
The primary propose of the project is to investigate the network-structure of anxiety, depression, eating disorder and mental well-being in a clinical population. Consecutively, moderators and mechanisms that are related to outcome in psychological treatment will be investigated using state of the art network tools and statistical analysis. The knowledge from network analysis will lay the groundwork to undertake the first randomized controlled trial (RCT) in which network-based personalized therapy is compared with standard psychotherapy.
The project is a collaboration between Department of Psychology (UiO) and Modum Bad. The project period is January 2020 - January 2025.