Multiple intervention pilot programs in a diversity of sites that share a theory of change.
Results provide a framework for designing cost-effective strategies for diseases with multiple intervention methods.
Factorial designs allow researchers to examine whether multiple intervention components affect hypothesized change mechanisms, and whether the affected mechanisms are related to cessation.
Factorial designs are highly efficient (permitting evaluation of multiple intervention components with good statistical power) and present the opportunity to detect interactions amongst intervention components.
No clinical trial of spinal manipulation for chronic neck pain (NP), for either single or multiple intervention session(s), has used an effective manual sham-manipulation control group.
The goal is to provide an alternative means for evaluating the impact of multiple intervention strategies that target the same community at the same time.
The Multiphase Optimization Strategy (MOST) uses highly efficient factorial experiments to evaluate multiple intervention components for possible inclusion in an optimized tobacco use treatment.
The balance of multiple intervention methods can differ between populations.
Several trials included multiple intervention arms [39, 71, 72, 87] resulting in a total of 72 individual exercise interventions.
Through specific examples, we identify multiple intervention components for health policymakers to use as a framework to bring about lasting behavioral public health benefits.
Where multiple intervention arms were compared with usual care within a single study, each exercise arm was considered a separate intervention and data extracted accordingly.
