You are here

MoodRing: A multi-stakeholder platform to monitor and manage adolescents' depression in primary care with passive mobile sensing.

Award Information
Agency: Department of Health and Human Services
Branch: National Institutes of Health
Contract: 4R44MH122067-02
Agency Tracking Number: R44MH122067
Amount: $1,476,413.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: 104
Solicitation Number: PA18-576
Solicitation Year: 2018
Award Year: 2021
Award Start Date (Proposal Award Date): 2021-05-01
Award End Date (Contract End Date): 2023-04-30
Small Business Information
Pittsburgh, PA 15206-3835
United States
DUNS: 026754866
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 (724) 430-0490
Business Contact
Phone: (724) 430-0490
Research Institution

As rates of adolescent depression and suicidality continue to trend upwards, the healthcare system struggles
to address the need for and lack of mental health service use. The pediatric patient-centered medical home
model may improve adolescent depression outcomes by enhancing access to and coordinating care, as well
as providing ongoing monitoring. Unfortunately, despite guideline recommendations, over 2/3 of adolescents
identified with depression symptoms in primary care do not receive symptom monitoring and 19% do not receive symptom reassessment. This lack of symptom monitoring and reassessment can result in untoward
health outcomes including a decrease in functioning, increased use of acute and crisis services, and hospitalizations due to suicidality. Current technologies which incorporate data passively collected from smartphones
offer an opportunity for intercurrent monitoring between patient visits which limits burden on the patient to self-report and limits burden on the healthcare system, allowing primary care teams to triage contacting and assessing patients a system identifies with an increase in disease severity. This formative study will demonstrate
the usability and potential clinical utility of MoodRing, a technology intervention which will collect passive mobile phone sensor data on aspects of adolescent phone use related to depressive symptom severity (e.g. communication patterns, social media use, travel) and integrate this data into a multi-user (adolescent, parent, primary care provider/care manager) platform from which symptoms can be viewed and secure communication
can occur. MoodRing, as supported by Health Belief Model, may lead to improved quality of depression management (increased symptom reassessment, therapy/medication adherence) through increasing self-efficacy,
social support from parent and care team, as well as encouraging application of self-management skills
through increased self-management knowledge, skills, and symptom feedback. MoodRing builds on a solid
foundation of investigators experienced in design of technology interventions to increase adolescent initiation
of depression treatment, who have already developed machine algorithms for passive sensing and a small
business partner with vast experience in working with health researchers to develop multi-user web/mobile
platforms. This STTR Phase I study seeks to accomplish two aims. The first is to apply a machine learning
pipeline developed for college-aged youth to adolescents with depression and determine whether self-reported
depressive symptoms can be reliably predicted from passive data with at least 85% accuracy. The second is
the user design and system architecture of MoodRing. If milestones are achieved that models are successful at
predicting depressive symptoms and the proposed MoodRing intervention is acceptable to adolescents, parents, and primary care providers/care managers, then we will pursue the STTR Phase II study. The aims of
Phase II include the development and subsequent efficacy trial of MoodRing. Specifically, we will conduct a
cluster randomized controlled trial in a primary care setting of MoodRing as compared to usual care.

* Information listed above is at the time of submission. *

US Flag An Official Website of the United States Government