New York University School of Global Public Health
New York University School of Global Public Health
About the Webinar
The multiphase optimization strategy (MOST) is being applied widely, in various areas of public health, to empirically identify high-value multicomponent interventions that are not only effective but also affordable, scalable, and/or efficient in their use of available resources. Recently, it has been proposed that MOST may also be used to identify high-value interventions with an additional criterion in mind, namely, equitability. Intervention-generated inequality is a well-documented phenomenon in which an intervention that is effective on a population level increases existing health disparities; new methods are needed to identify multicomponent interventions that are equitably high impact.
In this webinar, Drs. Collins and Strayhorn first offer a brief introduction to intervention optimization using MOST, and then introduce their preliminary thinking about how MOST might be applied to identify equitable interventions—interventions that, when implemented properly, are not expected to produce intervention-generated inequality.
About Linda M. Collins
Linda M. Collins is Professor of Social and Behavioral Sciences and Biostatistics in the New York University School of Global Public Health, and Director of the Center for Advancement and Dissemination of Intervention Optimization (CADIO). She is one of the original developers of MOST. Her work focuses on enhancing, extending, applying, and disseminating MOST.
About Jillian C. Strayhorn
Jillian C. Strayhorn is an Assistant Professor in the Department of Social and Behavioral Sciences at the New York University School of Global Public Health and Associate Director of CADIO. She is a quantitative methodologist whose work focuses on the multicriteria decision-making that goes into successfully optimizing behavioral (and biobehavioral and biomedical) interventions for public health impact. Her work is motivated by the goal of identifying and advancing high-value interventions that are not only effective but also efficient and equitable in their effectiveness.