PRiSMED: Predicting health and socioeconomic outcomes in patients with common psychiatric disorders
How can we better predict which patients will respond to Cognitive Behavioral Therapy for common mental disorders?
Depression, social anxiety disorder, panic disorder, and obsessive-compulsive disorder are prevalent mental health conditions, collectively affecting approximately 15% of the population at any given time. In Sweden, nearly 50% of sick leave diagnoses are related to psychiatric conditions, and this proportion continues to rise. Cognitive Behavioral Therapy (CBT) is the first-line treatment for these disorders; however, 30-60% of patients do not respond to CBT. By integrating advanced modeling techniques, we can enhance precision psychiatry, enabling tailored interventions and more cost-effective resource utilization.
The primary goal of this project is to improve outcome prediction for common mental disorders in routine clinical care. We will develop prediction models for both clinical CBT outcomes (e.g., remission) and long-term outcomes (e.g., socioeconomic status) using multimodal data from 5,000 genotyped and register-linked patients treated with CBT—the largest data collection of its kind to date.
More information can be found on the MULTI-PSYCH website.
People involved in the project
John Wallert, psychologist, associate professor, Karolinska Institutet (KI). Role: PI. Christian Rück, psychiatrist, Professor, Research group leader, KI. Role: co-PI, patient expertise, study design. Björn Bråstad, amanuens, clinical psychologist in training. Role: data management. Fredrik Johansson, PhD. Role: Statistical modelling and study design. Olly Kravchenko, PhD student. Role: data management and modelling. Lorena Fernández de la Cruz, Associate Professor, KI. Role: patient risk factors and outcomes. David Mataix-Cols, psychologist, Professor, KI. Role: patient expertise, study design. James Crowley, Associate Professor, University of North Carolina – Chapel Hill (UNC-CH, USA), affiliated to KI. Role: Expert in genetics. Magnus Boman, Professor, KTH Royal Institute of Technology. Role: AI expertise. Evelyn Andersson, PhD. Role: CBT and patient knowledge. Viktor Kaldo, psychologist, Professor, Linneaus University, group leader, KI, senior advisor Internet Psychiatry Unit. Role: CBT expertise, Clinic facilitator. Cecilia Magnusson, Professor, KI, Director of the Centre for Epidemiology and Community Medicine. Role: epidemiology expertise, supervising register linkage. Patrick F Sullivan, Professor, KI and UNC-CH (USA), Founder and lead PI of the Psychiatric Genomics Consortium, KI Psychiatric Genomics Institute. Role: genetics/supervision. Julia Boberg, psychologist, PhD student. Roles: CBT and patient knowledge, data handling. Kirk Geale, health economist, MSc, Umeå University. Role: health economist involved in the planning of Aim 3. Manne Sjöstrand, psychiatrist. Role: medical ethics expertise.
Group members involved in the project
Prof., co-PI
Rücklab - Psychiatry research at Karolinska Institutet 