How Intervention Mapping & MOST can benefit intervention development
UK team uses MOST and intervention mapping in combination to develop and optimize an intervention to increase medication adherence among women with early-stage breast cancer.
UK team uses MOST and intervention mapping in combination to develop and optimize an intervention to increase medication adherence among women with early-stage breast cancer.
Center Director, Linda Collins, and Associate Director, Kate Guastaferro, announce the official launch of cadio!
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.
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 detail in Chapter 2 of Collins (2018). For an example, see Gwadz et al. (2017).
A factorial experiment is essentially an RCT with a lot of experimental conditions, and therefore is extremely difficult to power.
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 be found in Chapter 3 of Collins (2018).