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COMPASS: A comprehensive mobile precision approach for scalable solutions in mental health treatment

Award Number: U01MH136025
ORGANIZATION: NATIONAL INSTITUTE OF MENTAL HEALTH
OPDIV: NIH
AWARD CLASS: COOPERATIVE AGREEMENT
AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)
PERIOD OF PERFORMANCE START DATE: 07/01/2024
PERIOD OF PERFORMANCE END DATE: 04/30/2029

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COMPASS: A comprehensive mobile precision approach for scalable solutions in mental health treatment - Matching patients to the treatment most effective for them can accelerate recovery and meaningfully reduce the growing burden of mental health conditions. Key barriers to tailoring care are the lack of objective data that can predict treatment response and effective approaches to translate data to improved clinical outcomes. As a result, many patients experience multiple treatment trials before recovery and a substantial proportion do not recover. The combination of mobile behavioral tracking and machine learning holds promise to overcome this barrier. Smartphones and wearable sensors can collect passive, continuous and objective measures and can be used to administer scalable, active behavioral tasks that capture constructs central to mental health. These highly dense data can be combined with genomics and clinical records, and machine learning holds promise to extract meaningful signals from these rich, multidimensional streams of information and facilitate the development of accurate predictive models. Our long-term goal is to increase the effectiveness of mental health treatments and the capacity of our mental health care system. Our objective in this application is to identify factors that can be used to effectively match patients to treatments. We will recruit 4,400 patients initiating outpatient mental health care in a network of primary and specialty clinics into the COMPASS Study (Comprehensive Mobile Precision Approach for Scalable Solutions in Mental Health Treatment) as part of the IMPACT-MH program. Subjects will be tracked through a wearable device and smartphone and complete active behavioral tasks. Because evidence-based digital interventions are increasingly widespread, patients will first be followed as they are randomized to receive one of two evidence-based digital interventions: cognitive behavioral therapy (CBT); or 2) mindfulness training. Subsequently, patients will be followed as they receive the array of treatments selected by their clinical teams. Our overarching hypothesis is that, through the use of mobile technology and machine learning in a large cohort before and during mental health care, we can develop individualized prediction models that will optimize mental health treatments. Our study is designed to test this hypothesis with the following specific aims: (1) Develop predictive models for personalized digital intervention treatment; (2) Develop predictive models for personalized, clinic-based mental health treatment; (3) Assess patient and clinician preferences for and perceptions of, the use of predictive modeling and behavioral tracking in mental health care; and (4) Actively participate in cross-IMPACT-MH project activities. Our approach is innovative because it applies scalable technology and analytic tools to a large and diverse sample of subjects receiving treatment under real-world conditions. Further, the project is designed to lead directly to an organization-level intervention that matches patients to treatments. Finally, this project is significant because it has the potential to greatly accelerate recovery by identifying the treatments from which each person is likely to derive the most benefit.


Issue Date FY	Funding FY	Legal Entity Name	Legal Entity Address	Legal Entity City	Legal Entity State	Legal Entity Zip Code	Legal Entity COUNTY	Legal Entity COUNTRY	Assistance Listing	Award Code	Budget Year	Action Date	Action Type	Action Amount

Issue Date FY: 2025 ( Subtotal = $3,797,437 )
2025	2025	REGENTS OF THE UNIVERSITY OF MICHIGAN	1109 GEDDES AVE STE 3300	ANN ARBOR	MI	48109	WASHTENAW	USA	Mental Health Research Grants	001	2	9/8/2025	NON-COMPETING CONTINUATION	$569,615
2025	2025	REGENTS OF THE UNIVERSITY OF MICHIGAN	1109 GEDDES AVE STE 3300	ANN ARBOR	MI	48109	WASHTENAW	USA	Mental Health Research Grants	000	2	4/9/2025	NON-COMPETING CONTINUATION	$3,227,822
														Subtotal = $3,797,437

Issue Date FY: 2024 ( Subtotal = $3,866,357 )
2024	2024	REGENTS OF THE UNIVERSITY OF MICHIGAN	1109 GEDDES AVE, SUITE 3300	ANN ARBOR	MI	48109	WASHTENAW	USA	Mental Health Research Grants	000	1	6/25/2024	NEW	$3,866,357
														Subtotal = $3,866,357

Grand Total All Awards = $7,663,794

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COMPASS: A comprehensive mobile precision approach for scalable solutions in mental health treatment

Award Number: U01MH136025

ORGANIZATION: NATIONAL INSTITUTE OF MENTAL HEALTH

OPDIV: NIH

AWARD CLASS: COOPERATIVE AGREEMENT

AWARD ACTIVITY TYPE: SCIENTIFIC/HEALTH RESEARCH (INCLUDES SURVEYS)

PERIOD OF PERFORMANCE START DATE: 07/01/2024

PERIOD OF PERFORMANCE END DATE: 04/30/2029

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