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Optimizing Behavioral Interventions

Behavioral interventions for prevention and treatment are an important part of the fight against drug abuse and related conditions such as HIV/AIDS and Hepatitis C. They are also important in many other areas such as smoking cessation, weight management, and cancer. Among the challenges faced by scientists is how to optimize these interventions in order to achieve the greatest public health benefits.


The Multiphase Optimization Strategy (MOST)

CogsCenter researchers are developing the multiphase optimization strategy (MOST) to provide a framework for engineering efficacious and effective behavioral interventions. Conceptually rooted in engineering, MOST emphasizes efficiency and careful management of resources to move intervention science forward systematically. MOST can be used to guide the evaluation of research evidence, develop optimized interventions, and enhance Type I and Type II translation of research.



Factorial Experiments: Why and How They Work

MOST often uses factorial experimental designs to estimate main effects and interactions between factors efficiently. In the pages below, we explain how and why MOST uses factorial designs.



Center Collaborations

This work began as a collaboration between Linda Collins and Susan Murphy. This led to two projects: work on desigining adaptive interventions and MOST.


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Center research on MOST is currently supported by the National Institute on Drug Abuse grant P50 DA10075 and National Cancer Institute grant P50 CA143188.

Significant support has been provided by National Institutes of Health Roadmap grant R21 DA024266.

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