Using Digital Phenotyping to Optimize Psychosocial Risk Screening and Personalized Care: a Pilot Study in Adolescents and Young Adults With Cancer
Summary
The overall goal of the proposed study is to use digital phenotyping to identify and triage at-risk patients and accelerate access to critical mental health services.
Arms & interventions
- DeviceDevice
Participants will wear a wrist-based wearable device for 10 days to passively track physiological data (heart rate, steps, sleep, etc.).
- BehavioralEcological Momentary Assessment (EMA) via My Personal Health Dashboard (MyPHD) Smartphone App
Participants will respond to ecological momentary assessments (EMA) via smartphone to actively report on sleep, mood, stress, and eating habits across a 10-day period.
Outcome measures
Primary
Change in Depressive Symptoms (Beck Depression Inventory - BDI)
The Beck Depression Inventory-II (BDI-II; range 0-63) will be used to measure changes in depressive symptoms among adolescents and young adults over time. Higher scores indicate greater depressive symptom severity.
Time frame: Baseline, Day 10, 2 months
Secondary
Participant Retention Rate (MyPHD App and Wearable Device)
Time frame: Baseline to 2 months
Adherence to EMA Prompts
Time frame: Baseline to 2 months
Wearable Device Return and Use Rate
Time frame: Baseline to 2 months
Change in Anxiety Symptoms (Beck Anxiety Inventory - BAI)
Time frame: Baseline, Day 10, 2 months
Change in PTSD Symptoms (CROPS)
Time frame: Baseline
Change in PTSD Symptoms (PCL-5)
Time frame: Baseline
Change in Sleep Quality (Pittsburgh Sleep Quality Index - PSQI)
Time frame: Baseline, Day 10
Eligibility criteria
Study locations (1)
Stanford University
Palo Alto, California, 94304