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Modeling and Predicting Real World Behavior Using Mobile Sensor Data on Patients With Major Depressive Disorder

NCT02499094 · Status: COMPLETED · Phase: NA · Type: INTERVENTIONAL · Enrollment: 1004

Last updated 2015-07-15

No results posted yet for this study

Summary

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.

Conditions

  • Depressive Disorder

Interventions

OTHER

Behavioral-data driven support

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)

Sponsors & Collaborators

  • Ginger.io

    lead INDUSTRY

Study Design

Allocation
RANDOMIZED
Purpose
SUPPORTIVE_CARE
Masking
DOUBLE
Model
PARALLEL

Eligibility

Min Age
18 Years
Max Age
65 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2014-12-31
Primary Completion
2015-07-31

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT02499094 on ClinicalTrials.gov