From Digital Measures to Novel Composite Endpoints: Enabling Precision Psychiatry
AIMS
- To establish whether there are digital traits, or a collection of digital traits, that can correlate to specific MADRS subscales
- To identify a new MADRS composite score covering symptoms that are best predicted using digital traits
CONTEXT & RATIONALE
- The Montgomery–Åsberg Depression Rating Scale (MADRS) is a diagnostic questionnaire used in clinical trials for major depressive disorder (MDD); the MADRS total score includes 10 subscales that evaluate the core symptoms of depression
- While MADRS is reliable, it can be burdensome for some patients to complete diagnostic questionnaires
- Digital traits are specific characteristics of an individual, derived from the interaction with digital technology
- Digital traits may generate a deeper understanding of the MADRS subscales and provide insights about depression symptomatology
- Measuring digital traits may be a less burdensome alternative to assess specific depressive symptoms over time