The multiphase optimization strategy (MOST) in child maltreatment prevention research.
The multiphase optimization strategy (MOST) in child maltreatment prevention research.
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DOI：
10.1007/s10826-021-02062-7
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发表时间：
2021-10
影响因子：
2.1
通讯作者：
Collins LM
中科院分区：
文献类型：
--
作者：
Guastaferro K;Strayhorn JC;Collins LM
每年有数十万儿童和家庭接受旨在防止虐待儿童的行为干预措施；然而十多年来，虐待率并没有下降。为了减少虐待儿童的发生率并防止其造成终生负面后果，行为干预措施不仅必须有效，而且必须负担得起、可扩展且高效，以满足对这些服务的需求。需要一种创新的干预科学方法。本文的目的是将多阶段优化策略（MOST）引入儿童虐待预防领域。 MOST 是一个受工程启发的框架，用于开发、优化和评估多成分行为干预措施。 MOST 使干预科学家能够独立或组合地凭经验检查每个干预组件的性能。本文使用家访干预和人工数据的假设示例，展示了如何使用 MOST 来优化以家长为中心的家庭干预的内容，以及干预的参与策略，以提高完成率，从而确定有效、高效、经济和可扩展的干预措施。我们建议，科技部最终将改进预防科学并加快转化科学的进展，以防止虐待儿童。
Each year hundreds of thousands of children and families receive behavioral interventions designed to prevent child maltreatment; yet rates of maltreatment have not declined in over a decade. To reduce the prevalence and prevent the life-long negative consequences of child maltreatment, behavioral interventions must not only be effective, but also affordable, scalable, and efficient to meet the demand for these services. An innovative approach to intervention science is needed. The purpose of this article is to introduce the multiphase optimization strategy (MOST) to the field of child maltreatment prevention. MOST is an engineering-inspired framework for developing, optimizing, and evaluating multicomponent behavioral interventions. MOST enables intervention scientists to empirically examine the performance of each intervention component, independently and in combination. Using a hypothetical example of a home visiting intervention and artificial data, this article demonstrates how MOST may be used to optimize the content of a parent-focused in-home intervention and the engagement strategies of an intervention to increase completion rate to identify an intervention that is effective, efficient, economical, and scalable. We suggest that MOST will ultimately improve prevention science and hasten the progress of translational science to prevent child maltreatment.
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影响因子：
7
作者：
Collins, Linda M.;Dziak, John J.;Li, Runze
通讯作者：
Li, Runze
影响因子：
1.8
作者：
Caldwell, Linda L.;Smith, Edward A.;Collins, Linda M.;Graham, John W.;Lai, Mary;Wegner, Lisa;Vergnani, Tania;Matthews, Catherine;Jacobs, Joachim
通讯作者：
Jacobs, Joachim
影响因子：
5.1
作者：
Gewirtz-Meydan, Ateret;Finkelhor, David
通讯作者：
Finkelhor, David
影响因子：
5.5
作者：
Collins, Linda M.;Dziak, John J.;Kugler, Kari C.;Trail, Jessica B.
通讯作者：
Trail, Jessica B.
影响因子：
4.5
作者：
Euser S;Alink LR;Stoltenborgh M;Bakermans-Kranenburg MJ;van IJzendoorn MH
通讯作者：
van IJzendoorn MH