I have conducted the preparation phase and now wish to write an R01 application. Should I propose to complete both the optimization and evaluation phases, or only the optimization phase?
In general, we recommend applying for funding to complete only the optimization phase, and making it clear in the application that you intend to apply for funding to support a subsequent evaluation of the optimized intervention (assuming this is what you plan to do). There are two reasons for this.
First, depending on the exact situation, it can be difficult to conduct both an evaluation and an optimization trial in a single five-year funding cycle (see How can I estimate how long my trials will take?)
Second, imagine you have applied for funding to conduct an optimization trial to examine an array of candidate intervention components, followed by an RCT to evaluate the optimized intervention. A reviewer could (justly) point out that you don’t know whether you will find enough candidate components with detectable effects to assemble an intervention that is worth evaluation. An alternative would be to apply for a 3- or 4-year R01 to conduct only the optimization trial.
All Frequently Asked Questions
Do you see MOST intersecting with implementation science, and if so, how?
Can I expect reviewers of grant proposals to understand MOST? If not, how should I handle this in the application? There is not enough room to provide a lot of background.
I work in the prevention field, in which the horizon on the outcome is very far away. How can I optimize under these circumstances? It seems like it would take decades.
Should I apply for funding to support all three phases of MOST?
How can I find out what other studies using MOST have been conducted in my area?
How can I obtain the background I need to write a grant proposal involving MOST?
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.
Establishing a conceptual model and understanding optimization
Sometimes the conceptual model is not a model of a health behavior per se, but a model of maintaining treatment fidelity, promoting adherence or compliance, or the like. The conceptual model is explained in more...
Common misconceptions about factorial experiments
A factorial experiment is essentially an RCT with a lot of experimental conditions, and therefore is extremely difficult to power.
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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