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Naloxone Plus, Plus Some: Examining Ohio's Quick Response Teams Through the Lens of Deflection
Kelly Firesheets1, Sophia Juarez, Albert Kopak
1Police Treatment and Community Collaborative (PTACC) Research Committee, Pennsylvania (Drs Firesheets, Kopak, Ross, and Sperber and Ms Juarez); and Illinois Criminal Justice Information Authority (ICJIA), Center for Justice Research and Evaluation, Chicago, Illinois (Ms Reichert).
Quick Response Teams (QRTs) unite public health and safety to combat the opioid crisis. This study examines Ohio
Area of Science:
- Public Health
- Criminology
- Social Work
Background:
- The United States faces a significant opioid crisis, with nearly 50,000 opioid-related deaths in 2019.
- First responders (law enforcement, fire, EMS) and hospitals are strained by the frequency of opioid overdoses.
- Quick Response Teams (QRTs) have emerged as a collaborative model involving public health and public safety to address overdoses.
Purpose of the Study:
- To examine the scale, structure, and services of QRTs in Ohio.
- To identify the populations served by Ohio's QRTs.
- To analyze the deflection pathways utilized by QRTs within the framework of the Police, Treatment and Community Collaborative.
Main Methods:
- Utilized existing qualitative and quantitative data from QRTs across Ohio.
- Analyzed QRT data through the lens of the 5 deflection pathways model.
- Answered key questions regarding QRT scale, structure, client demographics, and deflection strategies.
Main Results:
- Assessed the operational scale and structural variations of QRTs in the sample.
- Characterized the demographics and needs of individuals served by QRTs.
- Quantified the extent to which Ohio's QRTs incorporate various deflection pathways.
Conclusions:
- Provides insights into the context and effectiveness of QRTs and collaborative overdose response.
- Offers data-driven suggestions for researchers, practitioners, and funders involved in public health/public safety partnerships.
- Highlights the need for further research into the QRT model despite its widespread adoption.
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