Background Cardiometabolic conditions-including cardiovascular disease, type 2 diabetes, and obesity-are highly prevalent among individuals with psychotic disorders. These conditions contribute substantially to reduced life expectancy, diminished quality of life, and increased societal and economic burdens. Thus, effective, individualized interventions are urgently needed. Outpatient psychiatric clinics offer an ideal setting for such efforts owing to regular patient contact and access to multidisciplinary care. We have developed a comprehensive, clinically integrated trial aimed at improving cardiometabolic health, promoting healthier lifestyles, and enhancing quality of life for individuals with psychotic disorders receiving care in the Greater Gothenburg region.
Methods LAGOM is a multicenter, naturalistic, quasi-experimental case-control trial conducted across six geographically separate outpatient psychosis clinics within the Department of Psychotic Disorders at Sahlgrenska University Hospital, a multi-site university hospital in the Greater Gothenburg region. A total of 650 adults with psychotic disorders will be recruited from these clinics. Two clinics will implement the LAGOM intervention, whereas four will serve as control sites delivering usual care. The intervention is embedded within routine psychiatric care and grounded in behavioral science. It includes comprehensive cardiometabolic risk assessments, two visual motivational tools (QRISK3 and a body composition analyzer), personalized follow-up plans, risk-oriented referrals to primary care, and structured education for patients, relatives, and staff. The intervention is designed to be scalable, sustainable, and tailored to individual patient needs.
Discussion If proven superior to usual care, this pragmatic, multicomponent intervention-delivered within routine psychiatric care-could improve cardiometabolic health and quality of life for individuals with psychotic disorders. Embedding the intervention within existing clinical structures enhances its scalability and feasibility and, if effective, could serve as a model for wider implementation.