Addressing Mental Health Disparities Research Gaps: Aggregating and Mining Existing Data Sets for Secondary Analyses (R01 Clinical Trial Not Allowed) | RFA MH 22 200

Opportunity Information: Apply for RFA MH 22 200

The NIH funding opportunity "Addressing Mental Health Disparities Research Gaps: Aggregating and Mining Existing Data Sets for Secondary Analyses (R01 Clinical Trial Not Allowed)" (RFA-MH-22-200; CFDA 93.242) supports research aimed at reducing and ultimately eliminating mental health disparities in the United States. The central idea is to accelerate progress toward mental health equity by using existing data more effectively. Rather than funding new clinical trials or primarily new data collection, this announcement emphasizes secondary analyses that combine, harmonize, aggregate, and mine already available data sets to generate stronger evidence about where disparities come from, how they develop over time, and what can be done to prevent or reduce them.

Projects are expected to use the R01 research project grant mechanism and focus squarely on mental health disparities by race and ethnicity, geography (including underserved rural communities and other place-based inequities), and socioeconomic status. Research may span the full lifespan, meaning proposals can examine disparities from early childhood through older adulthood. A key expectation is that investigators will use existing data resources in a way that meaningfully increases understanding of disparities and points toward actionable intervention strategies, whether those strategies are clinical, preventive, service-delivery focused, or policy-oriented.

The scientific scope highlights three broad, connected areas. First, the opportunity encourages studies that identify and test multilevel factors that contribute to, worsen, or reduce mental health disparities. These factors can operate at the policy level (such as insurance coverage rules, criminal justice policy, education policy, or structural barriers), community level (neighborhood resources, access to culturally responsive care, exposure to violence, social cohesion), school level (school climate, discipline practices, access to counseling), family level (stress, caregiving burden, intergenerational trauma, family support), and individual level (symptom profiles, coping, stigma, discrimination exposure). Importantly, NIH is looking for work that can differentiate how these drivers operate at different developmental stages and in different contexts, rather than assuming disparities are uniform across age groups or settings.

Second, the announcement calls for research on etiology and trajectories, meaning the origins and course of mental health conditions and related outcomes in disparity-affected populations. This includes examining onset, progression, persistence, recurrence, and recovery patterns, and how those patterns may differ because of social determinants, differential access to care, diagnostic bias, chronic stress, or cumulative disadvantage. Secondary analyses that can clarify timing and pathways, including longitudinal modeling across developmental periods, are especially relevant to understanding how inequities emerge and become entrenched.

Third, NIH seeks studies that evaluate prevention and treatment interventions and mental health services, including how these approaches are implemented, disseminated, and sustained in real-world settings. Using existing data, applicants might assess whether evidence-based interventions work similarly across groups, whether there are gaps in reach or quality, and how implementation factors (workforce capacity, language access, cultural adaptations, clinic resources, reimbursement structures, telehealth availability) shape outcomes. The emphasis on implementation and dissemination reflects interest not only in whether something can work, but whether it is adopted and delivered effectively in the communities most affected by disparities.

The opportunity uses the NIH definition of U.S. health disparity populations, which includes Blacks/African Americans, Hispanics/Latinos, American Indians/Alaska Natives, Asian Americans, Native Hawaiians and other Pacific Islanders, socioeconomically disadvantaged populations, underserved rural populations, and sexual and gender minorities, consistent with NOT-OD-15-089. Applicants are expected to align their study populations and disparity framing with these designations and to make a clear case that their analytic approach will close a meaningful research gap rather than simply describing differences.

Eligibility is broad across U.S.-based organizations. Eligible applicants include a wide range of government entities (state, county, city/township, special district), independent school districts, public and state-controlled institutions of higher education, private higher education institutions, federally recognized Native American tribal governments, and other Native American tribal organizations. Both nonprofit organizations (with or without 501(c)(3) status) and for-profit organizations (other than small businesses, as well as small businesses) may apply. The announcement also explicitly notes other eligible applicant types such as Historically Black Colleges and Universities (HBCUs), Hispanic-serving Institutions, Tribally Controlled Colleges and Universities (TCCUs), Alaska Native and Native Hawaiian Serving Institutions, and Asian American Native American Pacific Islander Serving Institutions (AANAPISISs), as well as faith-based or community-based organizations, regional organizations, eligible federal agencies, and U.S. territories or possessions. At the same time, it places firm limits on foreign involvement: non-U.S. (foreign) institutions are not eligible to apply, non-U.S. components of U.S. organizations are not eligible, and foreign components as defined by the NIH Grants Policy Statement are not allowed.

Administratively, the opportunity is categorized as discretionary funding and uses the grant funding instrument under the health activity category. The original closing date listed is October 18, 2022, and the posting date is March 11, 2022. While the notice does not specify an award ceiling or expected number of awards in the provided text, the overall intent is clear: NIH wants well-powered, methodologically rigorous secondary analyses that leverage existing data to produce practical knowledge about the causes of mental health disparities and the most effective, scalable ways to reduce them without conducting clinical trials under this specific announcement.

• The National Institutes of Health in the health sector is offering a public funding opportunity titled "Addressing Mental Health Disparities Research Gaps: Aggregating and Mining Existing Data Sets for Secondary Analyses (R01 Clinical Trial Not Allowed)" and is now available to receive applicants.
• Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.242.
• This funding opportunity was created on 2022-03-11.
• Applicants must submit their applications by 2022-10-18. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
• Eligible applicants include: 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 having a 501 (c) (3) status with the IRS, other than institutions of higher education, Nonprofits that do not have a 501 (c) (3) status with the IRS, other than institutions of higher education, Private institutions of higher education, For-profit organizations other than small businesses, Small businesses, Others.

Apply for RFA MH 22 200

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