Developing a Multi-Criteria Decision Analysis Tool to Support the Adoption of Evidence-Based Child Maltreatment Prevention Programs.

Developing a Multi-Criteria Decision Analysis Tool to Support the Adoption of Evidence-Based Child Maltreatment Prevention Programs.
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DOI:
10.1007/s11121-020-01174-8
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发表时间:
2020-11
期刊:
Prevention science : the official journal of the Society for Prevention Research
影响因子:
--
通讯作者:
Lich KH
Lich KH
中科院分区:
其他
文献类型:
--
作者:
Cruden G;Frerichs L;Powell BJ;Lanier P;Brown CH;Lich KH

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决策者在选择实施循证方案(EBP)时需要考虑一系列因素,这在解决儿童虐待预防等复杂问题时尤其具有挑战性。多标准决策分析(MCDA)框架和工具对于评估此类复杂决策非常有用。我们描述了第一个MCDA工具的开发和测试,比较儿童忽视预防的EBP。为了开发该工具,我们让利益相关者(n=8)来定义问题,并确定13个标准和相关权重。在一项试点研究中,我们测试了MCDA工具与决策者(n=11)谁被要求排名三个循证儿童忽视预防干预措施,无论有没有工具。在大多数样本中(55%),军事和民防资源的加权总和干预措施排名与不使用该工具的排名不同。决策者就应澄清或增加的标准提供了指导,从而在一个迭代工具中产生了16项标准。最常见的标准建议涉及社区接受的干预措施,健康公平,实施支持和可持续性。决策者反馈指导的用户界面改进。由于决策者对利益攸关方参与进程的信任,军事和民防资源工具得到了决策者的普遍接受。需要更多的研究来了解MCDA方法在其他情况下的可接受性,以及与没有支持的EBPs相比,在决策支持下采用的EBPs是否具有不同的人口健康影响。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》)做出循证反应。
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 to 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.
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