Opportunity Information: Apply for RFA MH 18 410
Addressing Suicide Research Gaps: Understanding Mortality Outcomes (R01) is a National Institutes of Health (NIH) research grant opportunity designed to close a very specific and persistent problem in suicide prevention research: many healthcare systems can document suicide-related clinical events (such as suicide attempts, self-harm encounters, psychiatric crises, emergency department visits, or other indicators recorded in structured medical records), but those records are often not reliably linked to death records. Without that linkage, it is difficult to know which clinical warning signs and patterns actually precede suicide death, how frequently suicide occurs among patients already engaged with healthcare, and what the true mortality burden looks like for people seen in real-world care settings. This FOA supports projects that connect relevant healthcare system data with mortality data so researchers can better identify risk factors, clarify outcomes, and generate more accurate estimates of suicide mortality among people who have had contact with healthcare.
A central goal of the announcement is to improve understanding of the type, severity, and timing of suicide predictors in the United States. In practice, that means studies are expected to look beyond whether a risk factor exists at all and instead examine how it appears in clinical data, how intense or severe it is (for example, distinguishing ideation from attempts, or characterizing injury severity and clinical acuity), and how close in time it occurs relative to death. By building datasets that connect clinical trajectories to mortality outcomes, these projects can help reveal which patterns in routine healthcare data are most predictive, when risk is highest, and which patient subgroups carry disproportionate mortality risk. The emphasis on structured healthcare settings also reflects the reality that many individuals who die by suicide have interacted with healthcare in the months or year prior to death, making these settings important places for detection and prevention.
Beyond advancing scientific knowledge, the FOA highlights a practical, system-level payoff: linked healthcare and mortality datasets can produce benchmarks that health systems, payers, and insurers can use to measure performance and improvement. As suicide prevention becomes more embedded in quality improvement, population health management, and accountability frameworks, both public and private organizations increasingly need credible metrics for outcomes, rates, and risk-adjusted comparisons. The expectation is that better data infrastructure and better evidence about predictors and timing will support more effective prevention strategies and help systems track whether interventions are actually reducing suicide events and suicide deaths among the populations they serve.
The opportunity is issued as an R01 research project grant under the NIH, with the funding opportunity number RFA-MH-18-410. It is categorized as a discretionary grant in the education and health activity areas, and it references CFDA numbers 93.242, 93.279, and 93.307. The original posting indicates an award ceiling of $300,000, and the original closing date listed is 2017-11-02, with a creation date of 2017-05-26. The FOA also explicitly notes that funded projects will help address gaps identified in the 2014 Prioritized Research Agenda for Suicide Prevention, signaling that the work is meant to be responsive to nationally identified research needs rather than isolated, one-off data exercises.
Eligibility is broad and includes many types of domestic organizations and governmental entities. Eligible applicants include state, county, city, township, and special district governments; independent school districts; public and state-controlled institutions of higher education; private institutions of higher education; federally recognized Native American tribal governments; and Native American tribal organizations that are not federally recognized tribal governments. It also includes public housing authorities/Indian housing authorities, nonprofit organizations (both 501(c)(3) and non-501(c)(3), excluding institutions of higher education where specified), for-profit organizations other than small businesses, and small businesses, with an "others" category that captures additional eligible applicants. The FOA further calls out specific groups as other eligible applicants, including Alaska Native and Native Hawaiian Serving Institutions, Asian American Native American Pacific Islander Serving Institutions (AANAPISIs), Hispanic-serving institutions, Historically Black Colleges and Universities (HBCUs), Tribally Controlled Colleges and Universities (TCCUs), faith-based or community-based organizations, eligible federal agencies, regional organizations, U.S. territories or possessions, tribal governments other than federally recognized ones, and even non-domestic (non-U.S.) entities or foreign organizations. This wide eligibility reflects the reality that valuable healthcare and mortality data linkages may be housed in many different kinds of institutions and jurisdictions, and that suicide prevention research benefits from participation across diverse communities and health systems.
Overall, the FOA is best understood as an effort to strengthen the evidence base by building and analyzing linked datasets that combine healthcare encounter information with death outcomes. The intent is not just to count events, but to pinpoint clinically relevant predictors, understand how risk unfolds over time, and produce actionable knowledge that can guide prevention efforts and allow health systems and insurers to track measurable progress in reducing suicide-related mortality.Apply for RFA MH 18 410
- The National Institutes of Health in the education, health sector is offering a public funding opportunity titled "Addressing Suicide Research Gaps: Understanding Mortality Outcomes (R01)" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.242, 93.279, 93.307.
- This funding opportunity was created on 2017-05-26.
- Applicants must submit their applications by 2017-11-02. (Agency may still review applications by suitable applicants for the remaining/unused allocated funding in 2026.)
- Each selected applicant is eligible to receive up to $300,000.00 in funding.
- 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.
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FAQs: Addressing Suicide Research Gaps: Understanding Mortality Outcomes (R01) (RFA-MH-18-410)
What is this funding opportunity?
Addressing Suicide Research Gaps: Understanding Mortality Outcomes (R01) is an NIH research grant opportunity that supports projects aimed at improving suicide prevention research by linking healthcare system data to mortality (death) records. The goal is to better understand which clinical warning signs and patterns precede suicide death and to generate more accurate estimates of suicide mortality among people who have had contact with healthcare.
What problem is the FOA trying to solve?
Many healthcare systems can identify suicide-related clinical events in structured medical records (such as suicide attempts, self-harm encounters, psychiatric crises, or emergency department visits), but those records are often not reliably linked to death records. Without this linkage, it is difficult to determine which clinical patterns actually precede suicide death, how often suicide occurs among patients already engaged with healthcare, and the true mortality burden within real-world care settings.
What does the FOA want researchers to do?
The FOA supports studies that connect relevant healthcare system data with mortality data. By building and analyzing linked datasets, researchers can identify risk factors, clarify outcomes, and produce more accurate estimates of suicide mortality among people who have interacted with healthcare.
What types of data are central to the proposed research?
The FOA emphasizes linking structured healthcare encounter data (for example, recorded suicide attempts, self-harm, psychiatric crises, emergency department visits, and other suicide-related clinical indicators) with mortality outcomes captured in death records.
Why is linking healthcare data with death records important for suicide research?
Linkage is important because healthcare records alone may capture warning signs and non-fatal events but may not reliably identify which patients later died by suicide. Connecting these sources helps researchers understand which clinical signals truly precede suicide death, how risk changes over time, and which groups carry higher mortality risk.
What outcomes is the FOA focused on?
The central outcome is suicide death (mortality). The FOA is intended to strengthen understanding of mortality outcomes by connecting clinical trajectories observed in healthcare settings to death outcomes.
What does the FOA mean by understanding the "type, severity, and timing" of predictors?
Rather than only asking whether a risk factor exists, studies are expected to characterize how predictors appear in clinical data, how severe they are (for example, distinguishing ideation from attempts or describing injury severity and clinical acuity), and how close in time they occur relative to suicide death.
How does this FOA relate to people who have recently used healthcare services?
The FOA emphasizes structured healthcare settings because many individuals who die by suicide have interacted with healthcare in the months or year prior to death. These settings are therefore important locations for detection and prevention, and linked datasets can reveal which clinical patterns occur before death among people already seen in care.
What is the broader, practical value of this research for health systems and insurers?
The FOA highlights that linked healthcare and mortality datasets can produce benchmarks that health systems, payers, and insurers can use for performance measurement and improvement. As suicide prevention becomes part of quality improvement and accountability frameworks, organizations need credible metrics for outcomes, rates, and risk-adjusted comparisons.
Is the intent only to count suicide events?
No. The FOA frames the work as going beyond counting events to pinpoint clinically relevant predictors, understand how risk unfolds over time, and generate actionable knowledge that can guide prevention strategies and allow systems to track measurable progress in reducing suicide-related mortality.
What grant mechanism is used for this opportunity?
This opportunity is issued as an NIH R01 research project grant.
What is the funding opportunity number (FOA number)?
The funding opportunity number is RFA-MH-18-410.
How is this opportunity categorized?
It is categorized as a discretionary grant and is listed under education and health activity areas.
Which CFDA numbers are referenced?
The FOA references CFDA numbers 93.242, 93.279, and 93.307.
What is the award ceiling listed in the posting?
The original posting indicates an award ceiling of $300,000.
What are the key dates shown?
The creation date listed is 2017-05-26, and the original closing date listed is 2017-11-02.
How does this FOA connect to national suicide prevention priorities?
The FOA notes that funded projects will help address gaps identified in the 2014 Prioritized Research Agenda for Suicide Prevention. This indicates the work is meant to respond to nationally identified research needs.
Who is eligible to apply?
Eligibility is broad and includes many domestic organizations and governmental entities, as well as additional categories listed in the FOA (including certain non-U.S. entities). Eligible applicants include various levels of government, educational institutions, tribal entities, housing authorities, nonprofits, and for-profit organizations including small businesses.
Are state and local governments eligible?
Yes. Eligible government applicants include state, county, city, township, and special district governments, as well as independent school districts.
Are colleges and universities eligible?
Yes. Eligible applicants include public and state-controlled institutions of higher education as well as private institutions of higher education.
Are tribal governments and tribal organizations eligible?
Yes. Eligibility includes federally recognized Native American tribal governments and Native American tribal organizations that are not federally recognized tribal governments. The FOA also mentions tribal governments other than federally recognized ones.
Are nonprofits eligible?
Yes. The eligibility list includes nonprofit organizations with 501(c)(3) status and nonprofit organizations without 501(c)(3) status (with exclusions noted in the listing where specified).
Are for-profit organizations eligible?
Yes. The eligibility list includes for-profit organizations other than small businesses, and it also includes small businesses.
Are faith-based or community-based organizations eligible?
Yes. Faith-based or community-based organizations are explicitly listed among the other eligible applicants.
Are U.S. territories or possessions included in eligibility?
Yes. U.S. territories or possessions are included in the list of other eligible applicants.
Are federal agencies eligible?
Yes. Eligible federal agencies are specifically mentioned among the other eligible applicants.
Are non-U.S. entities or foreign organizations eligible?
Yes. The eligibility listing includes non-domestic (non-U.S.) entities or foreign organizations.
Does the FOA emphasize work in real-world healthcare settings?
Yes. The FOA repeatedly frames the need around structured healthcare settings, where routine clinical data capture suicide-related events and where many individuals who die by suicide have had recent contact.
What kinds of insights are expected from linked datasets?
Linked datasets are expected to help reveal which patterns in routine healthcare data are most predictive of suicide death, when risk is highest relative to recorded clinical events, and which patient subgroups carry disproportionate mortality risk.
How might results be used beyond academic research?
The FOA anticipates that improved linked data infrastructure and better evidence about predictors and timing can support prevention strategies and allow health systems, payers, and insurers to track whether interventions are reducing suicide events and suicide deaths in the populations they serve.
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