Data Sources and Strategies for Suicide Prevention Among Disproportionally Affected Populations
A comprehensive approach to suicide prevention requires access to high-quality data for monitoring suicide, nonfatal suicide-related outcomes, and, importantly, the risk and protective factors associated with these outcomes. High-quality data is also crucial for identifying suicide-related inequities and prevention strategies. When health agencies use data to drive decision-making, they can create more equitable and impactful programs to prevent suicide and suicidal behavior.
Target Groups
While anyone can experience suicide risk, certain demographics have higher rates of suicide or suicide attempts than the general U.S. population, known as disproportionately affected populations (DAPs). Public health professionals and partners can use this resource to identify data sources, measures, and relevant strategies and approaches for suicide prevention among DAPs.