From Digital Measures to Novel Composite Endpoints: Enabling Precision Psychiatry

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

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