Catalyzing State Public Health Agency Actions to Prevent Injuries and Violence: Introductory Remarks
The Injury Center had already established relationships with (i) communities of researchers and practitioners using the Injury Center's national injury surveillance data (Web-based Injury Statistics Query and Reporting System [WISQARS]); (ii) state health departments through a variety of programs including the Core Violence and Injury Prevention Program (Core VIPP), the Rape Prevention and Education Program, Essentials for Childhood Initiative, the Domestic Violence Prevention Enhancements and Leadership Through Alliances, Focusing on Outcomes for Communities United with States (DELTA FOCUS); and (iii) academic research institutions through the Injury Control Research Centers (ICRCs). In fostering these relationships, DARPI specifically strengthened the network links between all sectors by being intentional in the collaboration with the Core VIPP and ICRC partners and showed what could be achieved from enhancing bidirectional relationship between science and action.4
A common goal was important to bring people together from across the spectrum of data, research, and practice, so each could see that despite differences in perspectives, everyone was really working to achieve the same ultimate goal—to reduce injury morbidity and mortality. Again, DARPI is poised to bring these pieces together not only through the practice and research partners mentioned earlier but also by the internal connections made with data and statistical expertise that is contained within the DARPI infrastructure. These supports include the WISQARS.
While reducing population-level morbidity and mortality is the ultimate goal, prevention is achieved not only by addressing outcomes but also by understanding the cause of these outcomes and changing causal factors to reduce the incidence of the consequent injury. Through the lessons learned from Core VIPP as described in Nesbit et al,5 DARPI shifted the discussion about injury causation away from proximal risk factor epidemiology and more toward a multilevel emphasis that recognized implementation complexity.