OpportunityTitle: Understanding Place-Based Health Inequalities in Mid-Life (R01 Clinical Trial Not Allowed)
AdditionalInformationOnEligibility: Other Eligible Applicants include the following:  Alaska Native and Native Hawaiian Serving Institutions; Asian American Native American Pacific Islander Serving Institutions (AANAPISISs); Eligible Agencies of the Federal Government; Faith-based or Community-based Organizations; Hispanic-serving Institutions; Historically Black Colleges and Universities (HBCUs); Indian/Native American Tribal Governments (Other than Federally Recognized); Non-domestic (non-U.S.) Entities (Foreign Organizations); Regional Organizations; Tribally Controlled Colleges and Universities (TCCUs) ; U.S. Territory or Possession; Non-domestic (non-U.S.) Entities (Foreign Institutions) are not eligible to apply.  Non-domestic (non-U.S.) components of U.S. Organizations are eligible to apply.  Foreign components, as defined in the NIH Grants Policy Statement, are allowed.
Description: This Funding Opportunity Announcement (FOA) RFA supports secondary data analyses and/or data collection/enhancements to existing datasets to address the role of place (e.g., countries, U.S. Census regions, states, counties, neighborhoods, and locations across the urban-rural continuum) in health in order to uncover actionable knowledge to address disparities by geography and other factors such as race and ethnicity. Secondary data analyses appropriate to this FOA include those that: 1) clarify social, economic, behavioral, and ?institutional (e.g., federal to local government policies/programs, firm/industry practices, etc.) explanations for place-based health disparities (levels and trends) and/or 2) examine intersections between place and sociodemographic characteristics (e.g., gender, race, ethnicity, etc.) to better understand and address processes driving other ?health disparities. Analytic approaches that utilize quasi-experimental and other methods that yield causal estimates are preferred, though mixed methods projects that inform mechanistic insights and/or data enhancements are also appropriate. Multilevel analyses that enable the joint and synergistic examination of macro-, meso-, and individual-level factors are also encouraged.
GrantorContactEmailDescription: See Section VII. Agency Contacts within the full opportunity announcement for all other inquires.
GrantorContactText: NIH OER Webmaster&lt;br/&gt;OERWebmaster03@od.nih.gov