# Integrating a suite of mental health apps for depression in a healthcare setting.

> **NIH NIH R44** · ADAPTIVE HEALTH, INC. · 2020 · $1,333,753

## Abstract

Abstract
Depression is common, imposing a tremendous societal burden in terms of cost, morbidity, quality of life, and
mortality. The great majority of people with depression are treated in primary care, however outcomes remain
poor. There have been two broad attempts to address this problem. One is collaborative care, which uses
care managers to coordinate patient care. Collaborative care can be highly effective when implemented
correctly, however, it requires more resources than many settings have available. The other potential solution
is digital mental health, using web-base and app-based tools to support patient behavior change. While a large
number of randomized controlled trials have demonstrated the efficacy of these interventions, attempts to
implement digital mental health interventions in real-world care settings have failed, primarily because patients
do not use them and there has been little attention paid to implementation and care manager tools. IntelliCare
has shown great promise in overcoming these limitations. The IntelliCare platform is highly modular and
flexible, and currently includes a suite of 13 apps, with CM and administrative dashboards. IntelliCare has been
shown to reduce symptoms of depression and to maintain high levels of patient engagement over 8 or more
weeks. The proposed study will work with a collaborative care program within primary care clinics. The first
phase will focus on adaptation of the existing IntelliCare platform to support the care management by
facilitating patient and CM communication, acquisition of data critical to measurement-based care, and
providing a low intensity digital mental health intervention that can extend the capacity of care mangers to
deliver care. The adapted IntelliCare platform will then be tested in a rollout hybrid trial that evaluates
effectiveness, implementation, and allows for ongoing optimization and refinement during the trial. This project
has the potential to significantly improve our ability to deliver effective treatment for depression in a primary
care setting.

## Key facts

- **NIH application ID:** 10021709
- **Project number:** 5R44MH114725-04
- **Recipient organization:** ADAPTIVE HEALTH, INC.
- **Principal Investigator:** Carolyn MacIver
- **Activity code:** R44 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,333,753
- **Award type:** 5
- **Project period:** 2017-07-10 → 2023-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10021709

## Citation

> US National Institutes of Health, RePORTER application 10021709, Integrating a suite of mental health apps for depression in a healthcare setting. (5R44MH114725-04). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10021709. Licensed CC0.

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