Opportunity Information: Apply for RFA CE 17 001
The grant opportunity, titled "Research Using Linked Data to Understand Motor Vehicle Injury Among Older Adults" (Funding Opportunity Number RFA-CE-17-001), was released by the U.S. Department of Health and Human Services through the Centers for Disease Control and Prevention (CDC), specifically the National Center for Injury Prevention and Control (NCIPC). It focuses on a major public health problem: motor vehicle crashes are identified as the second leading cause of unintentional injury death among adults aged 65 and older. The overall purpose of the funding is to support investigator-initiated research that uses linked data to better understand how and why crashes happen in this age group, what factors increase or reduce risk, and what outcomes result from these events, including injury type and severity.
A central theme of the opportunity is the value of data linkage, meaning the intentional connection of information across multiple sources that are usually kept separate. In the context of older adult motor vehicle injuries, this could involve linking crash reports with hospital and emergency department records, trauma registries, emergency medical services data, driver licensing information, insurance claims, death certificates, or other relevant datasets. The CDC is essentially asking researchers to demonstrate whether linked datasets can provide a clearer and more actionable picture of crash involvement, injury patterns, and post-crash outcomes for older adults than any single dataset could provide on its own. By improving the evidence base on risk factors and protective factors, the research is expected to strengthen prevention approaches and ultimately help reduce injuries and deaths.
The opportunity emphasizes practical public health impact. Better understanding of injury mechanisms and severity among older adults can inform interventions such as targeted screening and counseling, roadway and vehicle safety improvements, policy changes, and more comprehensive approaches to assessing and managing crash risk. The CDC also highlights that effective linkage models are not just research tools; they could be integrated into broader crash risk assessment and management strategies. In other words, the expectation is that the project will contribute methods and findings that can be applied by public health agencies and partners to improve prevention efforts, not simply produce descriptive statistics.
This funding was offered as a cooperative agreement, which generally means CDC expects to have substantial involvement during the project period compared to a standard grant. The opportunity category is discretionary and falls under the health funding activity category, with CFDA number 93.136. The announcement was created on November 9, 2016, with an original application deadline of February 13, 2017, and electronic submissions due no later than 5:00 p.m. Eastern Time on the deadline date. The award ceiling listed is $400,000, and the CDC anticipated making one award, making it a relatively focused competition aimed at funding a single, substantial project rather than multiple smaller ones.
Eligibility was broad and included many organization types that could realistically carry out sophisticated linkage research. Eligible applicants included state, county, and city or township governments; 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; other Native American tribal organizations; public housing authorities/Indian housing authorities; nonprofit organizations with or without 501(c)(3) status (excluding higher education institutions in those nonprofit categories); for-profit organizations other than small businesses; and small businesses. This wide eligibility suggests the CDC was open to a range of applicants, from academic research centers and hospitals to government agencies and private-sector entities with strong analytic capacity and access to relevant datasets.
In short, the grant sought one high-quality, investigator-driven project that could show how linked data can be used to identify determinants and consequences of motor vehicle crashes among older adults, clarify patterns of injury and injury severity, and produce insights and linkage approaches that can be folded into real-world prevention and crash risk management strategies to reduce morbidity and mortality in this growing population.Apply for RFA CE 17 001
- The Department of Health and Human Services, Centers for Disease Control and Prevention - ERA in the health sector is offering a public funding opportunity titled "Research Using Linked Data to Understand Motor Vehicle Injury Among Older Adults" and is now available to receive applicants.
- Interested and eligible applicants and submit their applications by referencing the CFDA number(s): 93.136.
- This funding opportunity was created on Nov 09, 2016.
- Applicants must submit their applications by Feb 13, 2017 Electronically submitted applications must be submitted no later than 500 p.m., ET, on the listed application due date.. (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 $400,000.00 in funding.
- The number of recipients for this funding is limited to 1 candidate(s).
- 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.
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