Developing strategies to prevent suicide using big data
Official title: Using big data to develop universal and selective suicide prevention strategies
Funded at White River Junction VA Medical Center · NIH-10803623 · Data updated 2026-11-12
This study is looking to improve suicide prevention for veterans by using data to find those who might be at risk but aren't usually recognized, so we can create better support and strategies for everyone who needs help.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | White River Junction VA Medical Center NIH-funded |
| Lab location | 1 site (White River Junction, UNITED STATES) |
| Project start | July 1, 2024 |
| Project end | June 30, 2029 |
| Funding year | 2024 |
| NIH project number | 1IK2CX002630-01A1 |
| Project ID | NIH-10803623 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include veterans under 21 years old who may be at risk for suicide but do not meet the criteria for high-risk classification.
✕Less likely to help
Patients who are not veterans or those who do not fall within the age range of under 21 years may not benefit from this research.
What this research studies
This research aims to enhance suicide prevention efforts by utilizing big data analytics to identify individuals at risk who are often overlooked by current prediction methods. The focus is on veterans, particularly those who may not fit the traditional high-risk categories but are still vulnerable to suicide. By analyzing extensive datasets, the research seeks to uncover patterns and factors that contribute to suicide risk, ultimately leading to more effective prevention strategies tailored to a broader population. The approach includes collaboration with healthcare providers to implement findings into clinical practice.
Why it matters
Potential benefit: If successful, this research could significantly reduce suicide rates among veterans by identifying and supporting individuals who are currently underserved by existing prevention strategies.
How similar studies have gone: Previous research has shown promise in using big data for health outcomes, indicating that this approach could lead to significant advancements in suicide prevention strategies.
Where this research is happening
-
White River Junction VA Medical Center
White River Junction, United States Active
Researchers
- Principal investigator: Levis, Maxwell Eli Joshua — White River Junction VA Medical Center
- Study coordinator: Levis, Maxwell Eli Joshua
Related research
Other NIH-funded projects on the same topics.
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-
INCLUSAVE: helping young adults with IDD access suicide-prevention trainings
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Technology-assisted suicide prevention for youth in Colombian school settings
A youth-focused program will test a culturally tailored digital platform and teacher training to reduce suicidal thoughts and behaviors in schools.
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Qnnections: A Social Connection‑Focused Suicide Prevention for LGBTQ+ Veterans
A new group-based program tailored for LGBTQ+ Veterans aims to strengthen belonging and reduce burdensomeness to help prevent suicide.
-
Nurse- and Peer-Led Suicide Prevention for Women in Tajikistan
A nurse- and peer-led program in Tajikistan aims to help women at risk of suicide by adding tailored, frontline support in primary care.
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Targeted online suicide prevention for Veterans
A web-based, one-session intervention for Veterans to reduce thoughts of suicide and self-harm by helping them manage distress and rigid thinking.
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.