Center for Advancement and Dissemination of Intervention Optimization (CADIO)

Intervention optimization is an emerging scientific field. In this field ideas from behavioral science, engineering, public health, quantitative and qualitative methods, economics, and decision science are integrated to produce innovative approaches for empirical development and optimization of interventions.

MOST from a Conceptual Perspective

Featured Event

Call for Posters

Intervention Optimization: Science and Practice, Present and Future | May 18-20, 2026; Maryland The portal to submit abstracts for consideration for the poster sessions of the 2026 Intervention Optimization conference is now open. Posters on any intervention optimization-related topic are welcome. Submissions will be accepted through Thursday, October 9th at 11:59pm EDT, and applicants can expect to hear back early to mid-November. Learn more and submit here.

Featured Publication

A New Example of Factorial Mediation Analysis

We are pleased to highlight Rodrigo Lopes' recent publication, out now as a preprint in Behaviour Research and Therapy and co-authored by CADIO Associate Director Jillian Strayhorn. This study demonstrates the use of factorial mediation analysis to better understand the mechanisms of change behind CBT treatment components.
Read the full article here, and watch Rodrigo's presentation on the study in our 2024 Webinar Series here.

Intervention Optimization

Intervention optimization is a different way of thinking for intervention scientists. Here you’ll understand the rationale behind and the goal(s) of intervention optimization.

CADIO Academy

Increasing capacity of scientists working in the intervention optimization space across a variety of disciplines is central to CADIO’s mission.

Resources

This is your one stop shop for tools and information to navigate through the intervention optimization process.

Events

Watch this space for announcements for upcoming workshops, webinars, and other learning opportunities.

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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