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DSSGx Munich
In 2026, DSSGx Munich collaborates with LMU University Hospital Munich to develop data-driven tools for improving personalized depression care in general practice.
In 2026, DSSGx Munich collaborates with LMU University Hospital Munich to develop data-driven tools for improving personalized depression care in general practice.
PREDICTING THE EFFECTIVENESS OF TAILORED INTERVENTION COMPONENTS IN STRUCTURED PRIMARY CARE APPROACHES FOR DEPRESSION
PREDICTING THE EFFECTIVENESS OF TAILORED INTERVENTION COMPONENTS IN STRUCTURED PRIMARY CARE APPROACHES FOR DEPRESSION
Partner organization
Partner organization
Project background and goal
Project background and goal
Depression is a common and disabling condition encountered in primary care. Collaborative care for depression provides a structured framework to support these patients, but treatments and their individual effectiveness vary widely. Understanding which combinations of care components work best for which patient profiles remains an open and important question.
By analyzing how individual treatment elements affect patient outcomes, the team will work to identify effective approaches for specific patient groups.
Our impact
Our impact
By supporting general practitioners in making more informed, personalized treatment decisions, this project aims to reduce avoidable delays, ease pressure on stretched primary care services, and make a difference for people affected by depression.
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