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Optimizing Behavioral Sleep Interventions for Adolescents and Young Adults (R34 Clinical Trial Required)

National Institutes of Health · Opportunity RFA-MH-27-140

Who can apply

• State governments
• County governments
• City or township governments
• Special district governments
• Independent school districts
• Public and State institutions of higher education
• Native American tribal governments (Federally recognized)
• Public housing authorities
• Native American tribal organizations (other)
• Nonprofits with 501(c)(3), other than higher education
• Nonprofits without 501(c)(3)
• Private institutions of higher education
• For-profit organizations other than small businesses
• Small businesses
• Others

Refer to Section III. Eligibility Information in the NOFO for additional information on eligibility.Foreign Organizations/International Collaborations:Non-domestic (non-U.S.) Entities (Foreign Organizations) are not eligible to apply.Non-domestic (non-U.S.) components of U.S. Organizations are not eligible to apply.Foreign components, as defined in the NIH Grants Policy Statement, are not allowed.

About this opportunity

NIMH seeks applications for pilot research to adapt, optimize, and test behavioral interventions that address common sleep problems in adolescents and young adults with or at risk for a mental health disorder. This notice of funding opportunity (NOFO) supports pilot clinical trials designed to evaluate the feasibility, tolerability, acceptability, safety, and potential effectiveness of the approach in real world settings. Applications should aim to conduct a preliminary test of the intervention's impact on sleep and mental health outcomes, as well as an examination of the mechanisms that underlie the intervention's effectiveness, and to obtain preliminary data needed as a prerequisite for larger-scale effectiveness trials. In addition, interdisciplinary, collaborative teams of investigators from the fields of mental health, sleep medicine, developmental science, clinical trials research methods, behavioral economics, implementation science, data science, and human computer interaction are encouraged.

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