Project Type
independent
Project Start Date
09/01/2021
Project End Date
08/31/2026

The proposed project will seek to identify individual, person-level trajectories to define the phenotype for those at greatest risk for declining mobility and/or increasing psychosocial distress (i.e., anxiety, depression, social isolation) as they transition home. Digital phenotyping involves the “moment-by-moment quantification of the individual-level human phenotype in situ using data from personal digital devices.” Smart phones allow for passive collection of accelerometry to assess level of activity, GPS coordinates to document mobility in the community, and phone and text logs to examine social connectivity and support. These passive digital data components can be coupled with active smart phone based data collection using Patient Reported Outcome Measures (PROM) developed with advanced psychometrics and administered using precise computerized adaptive tests (CATs). This granular data provides dynamic information on individual-level mobility and psychosocial trajectories without significant burden (i.e., passive data requires no subject input). These individual trajectories can be assessed for common factors among those who demonstrate declining mobility and/or increasing psychosocial distress to derive predictive algorithms.