Prevention Economic Impact Model (PEIM)

 描述（由申请人提供）：拟议的快速通道SBIR赠款申请是为了创建一个基于网络的交互式预防经济影响模型（PEIM），使药物滥用预防组织能够（1）为特定目标人群选择成本/有效的循证干预措施，以及（2）使用服务提供数据和当前基于科学的经济影响估计模型估计预防的经济影响。这一创新的潜在客户包括但不限于：管理药物滥用预防服务提供的州机构，县，地区，地方预防服务组织，学区以及由政府和私人基金会资助的社区联盟。在公共卫生框架内，用系统的数据证明药物滥用预防服务干预措施的经济影响，对于产生持续的公众支持以维持和加强全国范围的药物滥用预防工作至关重要。将根据药物滥用预防领域两个具体领域的重大进展制定PEIM：（1）预防数据收集的标准化和（2）预防经济影响研究。在SBIR赠款的第一阶段，目标是根据PIRE已经为38个循证预防方案（EBP）建立的成本/效益比和经济负担率，开发一个PEIM原型。将进行一项焦点小组研究，以评估原型，并收集PEIM目标用户的反馈。在第二阶段，经济影响估计算法将扩大到包括在PEIM中的其他（多达30个）预防干预措施。将进行一项涉及多个市场部门的60个地点的试点测试研究，以系统地评估PEIM的有用性和可用性。根据试点站点的反馈，将开发可扩展的商业级PEIM软件，并在第三阶段进行测试以推向市场。

 DESCRIPTION (provided by applicant): The proposed Fast Track SBIR grant application is for the creation of a Web-based, Interactive Prevention Economic Impact Model (PEIM) which enables substance abuse prevention organizations to (1) select cost/effective evidence-based interventions for specific target populations and (2) estimate the economic impact of prevention using service delivery data and current science-based economic impact estimation models. Potential clients for this innovation include but are not limited to; state agencies that manage substance abuse prevention service delivery, county, regional, local prevention service organizations, school districts, and community coalitions funded by government and private foundations. Demonstrating the economic impact of substance abuse prevention service interventions with systematic data in a public health framework is imperative for generating continued public support to sustain and enhance a nationwide substance abuse prevention effort. The PEIM will be developed based on major advancements in two specific areas of the substance abuse prevention field: (1) the standardization of prevention data collection and (2) prevention economic impact research. In Phase I of the SBIR grant, the goal is to develop a prototype PEIM based on the cost/benefit ratios and economic burden rates PIRE has already established for 38 evidence based prevention programs (EBP). A focus group study will be conducted to evaluate the prototype and collect feedback from target users of PEIM. In Phase II, the economic impact estimation algorithms will be expanded to additional (up to 30) prevention interventions to be included in PEIM. A pilot test study involving 60 sites of multiple market sectors will be conducted for a systematic assessment of the usefulness and usability of PEIM. Based on the feedback from the pilot sites, scalable, commercial grade PEIM software will be developed and tested for going to market in Phase III.