Edna Bennett Prevention Research Center, The Pennsylvania State University, State College, USA.
National Prevention Science Coalition, Denton, USA.
Prev Sci. 2018 Feb;19(2):260-270. doi: 10.1007/s11121-017-0833-x.
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.
基于可靠科学证据制定公共政策的重要性日益得到认可,但许多障碍仍然阻碍着将预防研究转化为立法行动。本研究报告介绍了一种克服这些障碍的模型(即研究-政策协作(RPC))的可行性。RPC 采用战略性立法需求评估和快速反应研究人员网络,加速将研究结果转化为决策者可用的知识。评估结果表明,该模型能够成功调动预防科学家,与立法机构合作,将政策制定者和预防专家联系起来,并引起国会对有效预防策略的证据请求。平均而言,RPC 模型在每个立法办公室的实施成本为 3510 美元。RPC 可以以每个请求 444 美元的平均成本引起证据请求。讨论了这项工作的意义、优化项目要素的机会以及未来工作的计划。最终,该项目表明,通过对转化工作的战略投资,可以大大增强在决策中使用预防科学知识的能力。