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The importance of basing public policy on sound scientific evidence is increasingly being recognized, yet many barriers continue to slow the translation of prevention research into legislative action. This work reports on the feasibility of a model for overcoming these barriers-known as the Research-to-Policy Collaboration (RPC). The RPC employs strategic legislative needs assessments and a rapid response researcher network to accelerate the translation of research findings into usable knowledge for policymakers. Evaluation findings revealed that this model can successfully mobilize prevention scientists, engage legislative offices, connect policymakers and experts in prevention, and elicit congressional requests for evidence on effective prevention strategies. On average, the RPC model costs $3510 to implement per legislative office. The RPC can elicit requests for evidence at an average cost of $444 per request. The implications of this work, opportunities for optimizing project elements, and plans for future work are discussed. Ultimately, this project signals that the use of scientific knowledge of prevention in policymaking can be greatly augmented through strategic investment in translational efforts. [ABSTRACT FROM AUTHOR]

The PROSPER model uses a three-tiered community partnership, university researcher, and Cooperative Extension-based technical assistance system to support the delivery of evidence-based interventions in communities. This study examines the trajectory and predictors of the collaborative relationship between technical assistance providers and community teams across the three phases of organization, implementation, and sustainability. Members of 14 PROmoting School-university-community Partnerships to Enhance Resilience (PROSPER) community teams and directors of local agencies rated communities' levels of readiness and adolescent substance use norms. Technical assistance providers rated their collaborative relationship with their teams at 14 occasions across 4.5 years. Results from mixed models show that levels of collaboration were stable until the sustainability phase, when they increased significantly. Team differences in change were significant during the implementation phase. Community readiness predicted levels of the collaborative relationship over time: high community readiness was associated with a high level of collaboration during organization, but a decline in collaboration during implementation. These results provide a more nuanced understanding of the relationship between technical assistance provision and community prevention teams and lead to recommendations to improve dissemination models to achieve a greater public health impact. [ABSTRACT FROM AUTHOR]

The widespread adoption of science-based prevention requires local infrastructures for prevention service delivery. Communities That Care (CTC) is a tested prevention service delivery system that enables a local coalition of community stakeholders to use a science-based approach to prevention and improve the behavioral health of young people. This paper uses data from the Community Youth Development Study (CYDS), a community-randomized trial of CTC, to examine the extent to which better internal team functioning of CTC coalitions increases the community-wide adoption of science-based prevention within 12 communities, relative to 12 matched comparison communities. Specifically, this paper examines the potential of both a direct relationship between coalition functioning and the community-wide adoption of science-based prevention and a direct relationship between functioning and the coalition capacities that ultimately enable the adoption of science-based prevention. Findings indicate no evidence of a direct relationship between four dimensions of coalition functioning and the community-wide adoption of a science-based approach to prevention, but suggest a relationship between coalition functioning and coalition capacities (building new member skills and establishing external linkages with existing community organizations) that enable science-based prevention. [ABSTRACT FROM AUTHOR]