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Community-Based Participatory Research to Advance Data and Practice Transformation (ADAPT) for Optimizing Oral Health for All (UG3/UH3 Clinical Trial Optional)

Funder
National Institutes of Health
Award amount
Up to $300,000
Deadline
November 16, 2028
Eligible countries
United States

Summary

The purpose of this Notice of Funding Opportunity (NOFO) is to solicit UG3/UH3 phased, cooperative agreement research applications to evaluate, implement, and/or test population-based interventions to policies, programs, and/or practices for promoting integration of services, systems, and/or values by leveraging cross-sector partnerships in communities. Such interventions must address social and chronic disease common risk factors and/or barriers driving oral disease burden in communities. Projects funded through this funding opportunity and a separately funded Community Engagement Evaluation and Data Coordination hub (CEED) will form a Community-Based Participatory Research (CBPR) consortium: Advancing Data and Practice Transformation (ADAPT), which will receive consultative services from the NIH Community Engagement Alliance Consultative Resource (CEACR) and join in the Science Collaborative for Health and Artificial Intelligence Reduction of Errors (SCHARE) platform for the overarching goal of promoting data use and transformational community engagement to optimize oral health for all people across the lifespan.

Summary as listed on Grants.gov (opportunity 358864). Always read the full announcement for eligibility, limits and how to apply.

Read the full announcement on Grants.gov →

What National Institutes of Health reviewers look for

  • Importance of the research (significance and innovation), scored 1–9.
  • Rigor and feasibility of the approach, scored 1–9. Preliminary data and alternative strategies carry much of this.
  • Expertise and resources, rated sufficient or not, without a score.
  • Overall impact: the likelihood the project will have a sustained, powerful influence on its field.

Read our guide: what funded applications do →

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