Improving real-time connections to care for overdose patients
Official title: Using System Dynamics Modeling to Foster Real-time Connections to Care
Funded at Yale University · NIH-10590186 · Data updated 2026-11-12
This study is looking at how to better respond to drug overdoses in Connecticut by using real-time data from first responders and hospitals to see how helpful things like Good Samaritan Laws and naloxone are in saving lives.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Yale University NIH-funded |
| Lab location | 1 site (New Haven, United States) |
| Project start | September 30, 2022 |
| Project end | September 29, 2025 |
| Funding year | 2022 |
| Award (this year) | $1,147,508 |
| NIH project number | 1R61DA057675-01 |
| Project ID | NIH-10590186 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals who have experienced drug overdoses or are at risk of overdose in Connecticut.
✕Less likely to help
Patients who do not reside in Connecticut or who have not experienced drug-related issues may not benefit from this research.
What this research studies
This research focuses on addressing the opioid crisis in Connecticut by developing a system dynamics model that analyzes real-time data from first responders and emergency departments. The model aims to assess the effectiveness of interventions like Good Samaritan Laws and naloxone distribution in reducing overdose deaths. By collecting actionable data on overdose incidents and treatment referrals, the project seeks to enhance the response to drug overdoses and improve patient outcomes. The collaboration with the Connecticut Department of Public Health ensures that the findings will be relevant and applicable to local health strategies.
Why it matters
Potential benefit: If successful, this research could significantly reduce the number of overdose deaths by improving the effectiveness of emergency responses and treatment referrals.
How similar studies have gone: Previous research has shown that real-time data collection and intervention modeling can effectively reduce overdose rates, indicating a promising approach in this study.
Where this research is happening
-
Yale University
New Haven, United States Active
Researchers
- Principal investigator: Heimer, Robert — Yale University
- Study coordinator: Heimer, Robert
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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.