Resources
6 Results (showing 1 - 6)
Results sorted by updated date (newest first)
Results sorted by updated date (newest first)
Posted 3/2/2021 (updated 4/4/2024)
In light of the accelerating and rapidly evolving overdose crisis in the United States (US), new strategies are needed to address the epidemic and to efficiently engage and retain individuals in care for opioid use disorder (OUD). Moreover, there is an increasing need for novel approaches to using health data to identify gaps in the cascade of care for persons with OUD.
Posted 3/29/2024
A planning committee of the National Academies of Sciences, Engineering, and Medicine organized and conducted a two-day virtual public workshop that brought together data experts, program implementers and evaluators, and other key interested parties to explore data collection efforts, evidence gaps, and research needs on harm reduction for people who use drugs (PWUD).
Posted 12/23/2019 (updated 3/28/2024)
The purpose of the 500 Cities Project is to provide city- and census tract-level small area estimates for chronic disease risk factors, health outcomes, and clinical preventive service use for the largest 500 cities in the United States.
Posted 7/24/2020 (updated 3/28/2024)
The IHS forensic healthcare program was established in 2011 to address sexual violence, and has expanded to include intimate partner violence, child sexual abuse, and elder maltreatment. The program trains providers in forensic medical examinations, evidence collection techniques, and in coordinated community response to address violence.
Posted 6/13/2023 (updated 3/28/2024)
Tribal communities throughout the United States are often acknowledged as having higher rates of negative health outcomes, including higher rates of overdose and substance use, with little context given to the contributing historical and contemporary factors.
Posted 4/26/2023 (updated 3/27/2024)
OMNI Institute, in partnership with the JBS RCORP-TA team, created the Spring 2023 Data Learning Collaborative for all RCORP grant recipients. These sessions built the foundation for data learning, and we dove into data-related topics during each month’s skills-building session.