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All types of interventions can be optimized, including behavioral, biobehavioral, biomedical, social-structural, and educational interventions.

By intervention optimization, we mean the process of arriving at intervention EASE. Intervention EASE is a strategic balance of Effectiveness, Affordability, Scalability, and Efficiency. Intervention EASE is usually achieved via an approach called the multiphase optimization strategy (MOST). More information about MOST, including recommended readings and training opportunities, can be found on this website.

The goals of cadio are:

  • To promote and support optimization of all types of interventions.
  • To establish a community of scholars interested in the science and application of intervention optimization.
  • To extend and enhance intervention optimization methods.
  • To disseminate and provide training in current intervention optimization methods.

We invite you to explore this website.

We work in close partnership with the d3center at the University of Michigan to develop and apply new methods for optimizing adaptive interventions. cadio is funded in part by a NIDA P50 Research Center of Excellence grant led by d3c (NIH P50DA054039).

cadio

All types of interventions can be optimized, including behavioral, biobehavioral, biomedical, social-structural, and educational interventions.

By intervention optimization, we mean the process of arriving at intervention EASE. Intervention EASE is a strategic balance of Effectiveness, Affordability, Scalability, and Efficiency. Intervention EASE is usually achieved via an approach called the multiphase optimization strategy (MOST). More information about MOST, including recommended readings and training opportunities, can be found on this website.

The goals of cadio are:

  • To promote and support optimization of all types of interventions.
  • To establish a community of scholars interested in the science and application of intervention optimization.
  • To extend and enhance intervention optimization methods.
  • To disseminate and provide training in current intervention optimization methods.

We invite you to explore this website.

We work in close partnership with the d3center at the University of Michigan to develop and apply new methods for optimizing adaptive interventions. cadio is funded in part by a NIDA P50 Research Center of Excellence grant led by d3c (NIH P50DA054039).

Further Learning

Whether you are looking for additional support as you prepare a grant proposal involving MOST or practical information helpful in managing your optimization trial, this section provides resources for a deeper dive into intervention optimization.

REDCap with Most

The goal of this manual is to show how one might setup a REDCap project to support a research study with multiple conditions, such as factorial experiments common in the Multiphase Optimization Strategy (MOST) framework.

Informal introduction to factorial experimental designs

The purpose of this page is to clarify some concepts, notation, and terminology related to factorial experimental designs, and to compare and contrast factorial experiments to randomized controlled trials (RCTs). A more in-depth introduction can...

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