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The multiphase optimization strategy (MOST) in child maltreatment prevention research
Kate Guastaferro1, Jillian C Strayhorn1, Linda M Collins2
1Department of Human Development and Family Studies, College of Health and Human Development, The Pennsylvania State University.
Insights
Child maltreatment prevention needs better interventions. The multiphase optimization strategy (MOST) offers an engineering approach to develop effective, affordable, and scalable behavioral interventions for families.
Area of Science:
- Behavioral science
- Intervention science
- Public health
Background:
- Child maltreatment remains a significant public health issue, with rates undiminished despite widespread behavioral interventions.
- Existing interventions often lack the affordability, scalability, and efficiency required to meet demand and reduce prevalence.
Purpose of the Study:
- Introduce the multiphase optimization strategy (MOST) as an innovative framework for child maltreatment prevention.
- Demonstrate MOST's utility in optimizing multicomponent behavioral interventions for effectiveness and efficiency.
Main Methods:
- MOST is an engineering-inspired framework for empirical examination of intervention components.
- Utilized a hypothetical home visiting intervention with artificial data to illustrate optimization of content and engagement strategies.
- Focused on identifying interventions that are effective, efficient, economical, and scalable.
Main Results:
- MOST allows for the systematic evaluation of individual and combined intervention components.
- Optimization through MOST can lead to improved intervention content and engagement strategies.
- Identified potential for optimizing interventions to enhance completion rates and overall impact.
Conclusions:
- MOST provides a robust approach to developing and optimizing behavioral interventions for child maltreatment prevention.
- This strategy can accelerate progress in translational science, leading to more effective and scalable prevention programs.
- Adoption of MOST is recommended to improve the efficiency and impact of interventions aimed at preventing child maltreatment.
Abstract:
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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