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

CADIO Academy

K Mechanisms Workshop

We are accepting applications for our new, one day, practical workshop that teaches participants what is needed to write a proposal for a K grant involving intervention optimization, including analytic approach (e.g., DAIVE, outcomes, value function). Click to learn more and apply by 10/16.

Webinar Series

October 30 | From Preparation to Optimization – Lessons Learned from Developing LaunchPad

Dr. Kelly Rulison will share practical decisions, challenges, and lessons learned from applying MOST to develop LaunchPad, an NIH-funded online substance use prevention program for high school seniors. The webinar will discuss how Preparation Phase work is laying the foundation for the project’s upcoming optimization trials and highlight considerations that may be useful to researchers applying MOST to their own intervention development and optimization work. Register 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...

LET’S STAY IN TOUCH

Join the CADIO Mailing List

Keep up to date with the latest news, events, online courses, and resources from CADIO.