Feasibility Studies to Inform the Design of Future Clinical Trials
National Institutes of Health · Department of Health and Human Services · PAR-28-011
In plain English
National Institutes of Health (Department of Health and Human Services) has announced this as a forecast: an opportunity it expects to post. It is not open for applications yet. Estimated posting date: Nov 24, 2026. Estimated application due date: Feb 16, 2027.
The listing does not state award amounts or the number of awards.
Eligible applicant types include nonprofits, small businesses, for-profit companies, state governments, local governments, tribal governments & organizations, colleges & universities, school districts and public housing authorities, plus others described in the listing.
The listing says cost sharing or matching is not required.
Built only from the fields in the Grants.gov listing. Always confirm on the official listing.
Key facts
| Status | Forecasted: not open yet |
|---|---|
| Estimated posting date | Nov 24, 2026 |
| Estimated application due date | Feb 16, 2027 |
| Estimated award date | Dec 1, 2027 |
| Estimated project start | Dec 1, 2027 |
| Fiscal year | 2028 |
| Forecast posted | Apr 28, 2026 |
| Opportunity number | PAR-28-011 |
| Agency | National Institutes of Health (Department of Health and Human Services) |
| Funding instrument | Grant |
| Category | Health |
| Opportunity category | Discretionary |
| Award ceiling (max per award) | Not stated |
| Award floor (min per award) | Not stated |
| Estimated total program funding | Not stated |
| Expected number of awards | Not stated |
| Cost sharing or matching required | No |
| Assistance listing (CFDA/ALN) | 93.213 – Research and Training in Complementary and Integrative Health |
| Last updated on Grants.gov | Apr 28, 2026 |
Who can apply
Browse similar: Nonprofits · Small businesses · For-profit companies · State governments · Local governments · Tribal governments & organizations · Colleges & universities · School districts · Public housing authorities
- State governments
- County governments
- City or township governments
- Special district governments
- Independent school districts
- Public and state-controlled institutions of higher education
- Native American tribal governments (federally recognized)
- Public housing authorities / Indian housing authorities
- Native American tribal organizations (other than federally recognized tribal governments)
- Nonprofits with 501(c)(3) status (other than institutions of higher education)
- Nonprofits without 501(c)(3) status (other than institutions of higher education)
- Private institutions of higher education
- For-profit organizations other than small businesses
- Small businesses
- Others (see the eligibility details in the listing)
Additional eligibility information (excerpt from the listing):
Other Eligible ApplicantsIndian/Native American Tribal Governments (Other than Federally Recognized);Eligible Agencies of the Federal Government;U.S. Territory or Possession;Faith-based or Community-based Organizations;Regional Organizations;Non-domestic (non-U.S.) Entities (Foreign Institutions).
Description
Excerpt from the official forecast on Grants.gov (shortened; read the full text on the official listing):
The National Institutes of Health intends to publish a Notice of Funding Opportunity (NOFO) to solicit applications that propose feasibility studies that could inform the design and conduct of subsequent definitive clinical trials (e.g., efficacy, effectiveness, pragmatic, dissemination and implementation, phase/stage II or later trials). Applications to this NOFO should demonstrate that the proposed feasibility research is scientifically necessary to design or plan the subsequent definitive clinical trial. Studies may utilize mixed methods and feasibility clinical trials to assess feasibility of recruitment, randomization, retention, intervention delivery, data collection, adherence, acceptability, and/or develop or adapt intervention components or protocols. The proposed feasibility research should enhance the rigor and reproducibility of the future trial methods. …
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