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首页> 外文期刊>Prevention science: the official journal of the Society for Prevention Research >Developing a Multi-Criteria Decision Analysis Tool to Support the Adoption of Evidence-Based Child Maltreatment Prevention Programs
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Developing a Multi-Criteria Decision Analysis Tool to Support the Adoption of Evidence-Based Child Maltreatment Prevention Programs

机译：开发多标准决策分析工具，以支持采用循证儿童虐待预防计划

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摘要

Decision-makers need to consider a range of factors when selecting evidence-based programs (EBPs) for implementation, which can be especially challenging when addressing complex issues such as child maltreatment prevention. Multi-criteria decision analysis (MCDA) frameworks and tools are useful for evaluating such complex decisions. We describe the development and testing of the first MCDA tool to compare EBPs for child neglect prevention. To develop the tool, we engaged stakeholders (n = 8) to define the problem and identify 13 criteria and associated weights. In a pilot study, we tested the MCDA tool with decision-makers (n = 11) who were asked to rank three evidence-based child neglect prevention interventions both with and without the tool. The MCDA's weighted sum intervention ranking differed from the ranking without the tool in the majority of the sample (55%). Decision-makers provided guidance on criteria that should be clarified or added, resulting in 16 criteria in an iterated tool. The most frequent criterion suggestions related to community acceptance of the intervention, health equity, implementation supports, and sustainability. Decision-maker feedback guided user interface refinements. The MCDA tool was generally well accepted by decision-makers due to their trust in the stakeholder engagement process. More research is needed to understand the acceptability of MCDA approaches in additional contexts and whether EBPs adopted with decision support have different population health impacts compared with EBPs adopted without support. MCDA tools could facilitate evidence-based responses to federal policy and funding opportunities such as the Families First Preventive Services Act.
机译：决策者在选择循证程序（EBPS）时需要考虑一系列因素，这在解决诸如儿童虐待预防等复杂问题时尤其具有挑战性。多准则决策分析（MCDA）框架和工具可用于评估此类复杂决策。我们描述了第一个MCDA工具的开发和测试，该工具用于比较EBP对儿童忽视预防的作用。为了开发该工具，我们让利益相关者（n=8）参与定义问题，并确定13个标准和相关权重。在一项试点研究中，我们与决策者（n=11）一起测试了MCDA工具，他们被要求对有无该工具的三种循证儿童忽视预防干预措施进行排名。在大多数样本（55%）中，MCDA的加权和干预排名与未使用该工具的排名不同。决策者提供了关于应该澄清或添加的标准的指导，在一个迭代工具中产生了16个标准。最常见的标准建议涉及社区接受干预、卫生公平、实施支持和可持续性。决策者反馈引导用户界面优化。由于决策者对利益相关者参与过程的信任，MCDA工具被普遍接受。需要进行更多的研究，以了解MCDA方法在其他情况下的可接受性，以及与无支持的EBP相比，采用决策支持的EBP是否具有不同的人群健康影响。MCDA工具可以促进对联邦政策和资助机会（如《家庭第一预防服务法》）的循证反应。

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