Our research group employs a comprehensive, multimethod approach to investigate mental health across diagnostic boundaries and developmental stages. We combine established epidemiological and clinical assessment methods with innovative digital technologies and participatory research strategies.
We conduct epidemiological telephone interviews to assess mental health symptoms, risk factors, and mental health service use in large and diverse populations, enabling population-based analyses and early identification of at-risk individuals. Clinical interviews, administered by trained clinicians or researchers, provide in-depth diagnostic assessment, symptom profiling, and evaluation of clinical change over time.
To complement retrospective and cross-sectional assessments, we use Ecological Momentary Assessment (EMA) to repeatedly sample symptoms, emotions, cognitions, and behaviors in real time and in naturalistic settings, allowing the investigation of dynamic processes with high ecological validity. Online surveys are used to efficiently collect self-report data across large samples and multiple measurement waves, supporting longitudinal and transdiagnostic research designs.
In addition, we employ Virtual Reality (VR) methods to experimentally investigate cognitive, emotional, and interpersonal processes in immersive and controlled environments, and to develop and evaluate innovative, technology-assisted psychological interventions.
A central component of our work is Patient and Public Involvement (PPI) in the co-design, adaptation, and evaluation of a modular psychotherapy approach. Patients, relatives, and stakeholders are actively involved throughout the research process, from needs assessment and module development to feasibility testing and refinement. This participatory approach ensures that interventions are clinically relevant, acceptable, and responsive to the lived experiences of young people and their families.
