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Achieving the Goals of Translational Science in Public Health Intervention Research: The Multiphase Optimization Strategy (MOST)
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Journal Article
Achieving the Goals of Translational Science in Public Health Intervention Research: The Multiphase Optimization Strategy (MOST)
2019
Overview
The National Institutes of Health (NIH) invests billions of dollars annually in basic research designed to increase scientific understanding of social, behavioral, biological, and biomedical factors that cause illness, afect recovery, and facilitate health. Because the ultimate goal of this basic research is to improve human health and well-being, translational science, the process by which basic research findings inform prevention and treatment practice, is critical. Two types of translational science are universally identified (although more complex translational frameworks exist1). One is translation of basic science discoveries into new approaches for prevention, diagnosis, or treatment. The other is translation of these new approaches into a form amenable to widespread adoption and implementation. Francis Collins, the current director of the Nil I, has called for a \"comprehensive, systematic, and creative approach to revolutionizing the science of translation. \"4(p1) Here we introduce the multiphase optimization strategy (MOST),5'6 an engineering-inspired framework for development, optimization, and evaluation of multicomponent behavioral, biobehavioral, and biomedical interventions, and show how it offers a novel approach to translational science.
Publisher
American Public Health Association
