Grants / Department of Health and Human Services / Centers for Disease Control and Prevention - ERA

RFA-CE-22-008: Using Data Linkage to Understand Suicide Attempts, Self-Harm and Unintentional Drowning Deaths (U01)

Closed Closed March 8, 2022 Opportunity RFA-CE-22-008 ☆ Save

This grant is closed. A newer notice from the same program is open now: NIH, CDC and FDA Small Business Innovation Research Grant (Parent SBIR [R43/R44] Clinical Trial Optional) (PA-27-100). Status: Due dates in the notice, expires April 5, 2027. It is in our archive of Centers for Disease Control and Prevention - ERA notices from 2021.

• Award ceiling$350,000
• Total funding$2.1 million
• Expected awards2
• Cost sharingNot required
• Funding typeCooperative Agreement

Key dates

Who can apply

This opportunity was open to any type of organization.

See Section III.Eligibility Information

More grants for nonprofits, colleges and universities, state and local governments, tribes, small businesses, businesses, individuals.

Is this a realistic fit?

• Past Injury Prevention and Control Research and State and Community Based Programs awards averaged $2.2 million; this notice allows up to $350,000 per award.
• Most of the program's money (76% over five years) went to state and local governments.
• No cost sharing or match is required.

What the grant funds

The Centers for Disease Control and Prevention (CDC) National Center for Injury Prevention and Control (NCIPC) is soliciting investigator-initiated research proposals to support the use of data science techniques for new data linkage and analysis to understand risk and protective factors for one of the following two NCIPC injury research topics: Suicide attempts and/or intentional self-harm related to suicide OR Unintentional drowning deaths Understanding the risk and protective factors for injury and death can help prevent them, improve public health, and reduce related costs. Data linkage, or linking existing data sources such as police, hospital, and emergency medical service (EMS) records, is one way to better understand an injury-producing event and to identify risk and protective factors. Each of these data sources is separately collected at different points in time during the response to the injury and stored in unique systems that are not linked to each other. Linking these and other data sources can create a more complete picture of what happens before, during, and after an injury-producing event. This can help states and communities better develop and implement prevention efforts. Data linkage methods (e.g., deterministic, probabilistic, clustering neural networks) and data linkage software are needed to inform research on suicide attempts and/or intentional self-harm related to suicide and unintentional drowning deaths. Ideal data sources would include: Comprehensive, structured information that includes measures that provide context for events, including risk and protective factors related to medical outcomes, Information that can be used to estimate non-medical economic costs (productivity, work loss), and Information that can be successfully linked to medical records that include medical and economic outcomes. Of particular interest is research that includes all populations so that those sub-populations experiencing high rates of suicide attempts, subsequent suicides or re-attempts, and unintentional drowning deaths can be identified and compared to sub-populations with lower rates. Injury data are often stored in unique systems and they contain different information based on when the data were collected (e.g., when the injury occurred or after the injury occurred) or by who collected the data (e.g., police department, hospital).

Category: Health.

Applying now

This notice no longer takes applications. Apply under the newer notice, PA-27-100, which is open now.

The notice on Grants.gov keeps its full text and attachments, which is useful for planning a resubmission.