The purpose of this study is to validate the effectiveness of using an integrated mobile sensing platform to deliver large-scale data-driven interventions to patients with depression.
This study is a smartphone-based, randomized, single-blind, controlled parallel- design study with two intervention arms and one control arm. The two intervention arms will receive in-app messages and phone-based support, which will be triggered by participant's self-reported surveys and passive behavioral data gathered through a smartphone app. The study will include a nationwide sample of adult (18 years or older) smartphone users, who are currently experiencing depressive symptoms. The primary outcome will be decrease in depression symptom severity, as measured by the 9-item Patient Health Questionnaire, over 6 months.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
DOUBLE
Enrollment
1,004
Phone-based support (e.g. triaging of the situation, emotional support, and guidance on next steps for the patient) and in-app support (health education content based on cognitive behavioral therapies, mindfulness, and behavioral activation)
Change in depression symptom severity
Change in the 9-item Patient Health Questionnaire (PHQ-9) score from baseline
Time frame: 6 months
Change in patient activation
Change in the 13-item Patient Activation Measure score from baseline
Time frame: 6 months
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