Understanding firearm suicides among Hispanic adults
Official title: Hispanic Firearm Suicide Decedents: Identifying Circumstances and Typologies with National Violent Death Reporting System Data
Funded at University of Utah · NIH-11057928 · Data updated 2026-11-12
This study looks at the reasons behind firearm suicides in Hispanic adults to better understand what leads to these heartbreaking situations, using advanced technology to find patterns and create profiles that can help develop effective prevention strategies.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Utah NIH-funded |
| Lab location | 1 site (Salt Lake City, United States) |
| Project start | September 22, 2024 |
| Project end | June 30, 2026 |
| Funding year | 2024 |
| Award (this year) | $231,000 |
| NIH project number | 1R21MD019447-01A1 |
| Project ID | NIH-11057928 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include Hispanic adults who have experienced suicidal thoughts or behaviors, particularly those with access to firearms.
✕Less likely to help
Patients who do not identify as Hispanic or who have not experienced suicidal thoughts or behaviors may not benefit from this research.
What this research studies
This research investigates the circumstances surrounding firearm suicides in Hispanic adults, a demographic significantly affected by this issue. By utilizing machine learning techniques, the study aims to analyze data and identify patterns that lead to these tragic events. The research will develop a natural language processing system to code and categorize the factors involved in these suicides, ultimately creating distinct profiles of individuals affected. The findings will inform targeted interventions to prevent future occurrences.
Why it matters
Potential benefit: If successful, this research could lead to improved prevention strategies for firearm suicides among Hispanic adults.
How similar studies have gone: Previous research has shown success in using machine learning to analyze suicide data, indicating that this approach has the potential for impactful findings.
Where this research is happening
-
University of Utah
Salt Lake City, United States Active
Researchers
- Principal investigator: Goldstein, Evan Victor — University of Utah
- Study coordinator: Goldstein, Evan Victor
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.