A Demonstration to Scale Innovative Person-Centered Approaches to Falls Prevention through Clinical-Community Partnerships
Closed Posted
- Opportunity number
- HHS-2026-ACL-CIP-AAFP-0017
- Agency
-
Administration for Community Living
Department of Health and Human Services
- Applications due
- Award size
- $4,700,000
Opportunity facts
- Assistance listings
- Funding instrument
- Cooperative Agreement
- Category
-
- Health
- Eligible applicants
-
- Tribal Governments (Federally Recognized)
- Special District Governments
- State Governments
- City/Township Governments
- Higher Education Inst. (Public)
- 501(c)(3) Nonprofits
- Independent School Districts
- Tribal Organizations (Not Federally Recognized)
- County Governments
- Public or Indian Housing Auth.
- Higher Education Inst. (Private)
- Points of contact
-
- William Bleser william.bleser@acl.hhs.gov (202) 719-2636
- Full announcement
Opportunity details come from Grants.gov. Updated .
About this opportunity
The Administration for Community Living (ACL) is soliciting applications for a single cooperative agreement to demonstrate and scale person-centered approaches to falls prevention through clinical-community partnerships, with applications due July 27, 2026. This is a single-award opportunity capped at $4,781,733 over three years with no cost-sharing requirement.
Eligible applicants include 501(c)(3) nonprofits, state and local governments, tribal governments and organizations, and public and private institutions of higher education. The successful grantee will administer sub-awards (comprising at least 75% of total funding) to approximately five community care hubs in high-scaling-potential regions, retaining up to 25% for coordination, technical assistance, and rapid-cycle evaluation. Sub-awards must be disbursed within 120 days of award receipt.
The grantee will demonstrate the scalability of person-centered and evidence-based falls prevention interventions—specifically the STEADI screening algorithm and the Stepping On community program, which has shown a 31% reduction in relative risk of falls—through advanced community care hubs that support care transitions and falls risk screening. The grantee must collaborate with ACL in design and implementation, conduct rapid-cycle evaluation to iterate and improve interventions, and administer sub-awards enabling person-centered interventions that leverage artificial intelligence, data analytics, assistive technology, virtual delivery, consumer behavior support tools, and data infrastructure.
Evaluation criteria score project relevance and current need (10 points), approach (30 points), project impact (25 points), capabilities and expertise (25 points), and budget narrative (10 points). The project period runs from September 30, 2026 through September 29, 2029. Applications are funded under CFDA 93.048 (Special Programs for the Aging, Title IV, and Title II, Discretionary Projects). An optional notice of intent is requested by July 10, 2026, with expected award notification by September 30, 2026.
Synopsis
The purpose of this funding announcement is to demonstrate and evaluate the scalability of person-centered and evidence-based approaches to falls prevention that leverage clinical and community partnerships and related data and technology tools. ACL intends to award a single cooperative agreement to one grantee for a three-year project period with the expectation that the grantee will fund up to three demonstrations. This award will build on the ACL Innovation Lab to demonstrate the scaling of person-centered and evidence-based approaches to falls prevention and related chronic disease management programs through community care hubs and their respective clinical partners and community-based organizations in the aging services network. The successful applicant will be expected to collaborate with ACL in the design and implementation of these demonstrations in the scalability of falls prevention and related chronic disease management interventions through approximately three advanced community care hubs that support care transitions and screening for the risk of falls. They should also have the capacity to 1) do rapid cycle evaluation to iterate and improve the impact of the interventions as they are scaled and, 2) administer sub-awards to community care hubs that can implement and scale person-centered interventions enabled by artificial intelligence, data analytics, assistive technology, virtual delivery of interventions, tools to support consumer behaviors, and related data infrastructure.
Files
| File | Type | Posted |
|---|---|---|
| hhs-2026-acl-cip-aafp-0017.pdf |
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