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J Behav Med. 2017 Feb;40(1):203-213. doi: 10.1007/s10865-016-9773-3. Epub 2016 Aug 1.

Increasing the public health impact of evidence-based interventions in behavioral medicine: new approaches and future directions.

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Institute for Health Research and Policy, University of Illinois Cancer Center, University of Illinois at Chicago, Chicago, IL, 60608, USA.
Department of Behavioral and Social Sciences, University of the Sciences, Philadelphia, PA, 19104, USA.
The Methodology Center, Penn State University, University Park, PA, 16801, USA.
Department of Psychiatry, University of Illinois at Chicago, Chicago, IL, 60612, USA.
Department of Epidemiology, Mailman School of Public Health, Columbia University, New York, NY, 10032, USA.
Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, 33124, USA.
New York Physicians Against Cancer (NYPAC), New York, NY, USA.


The dissemination and implementation of evidence-based behavioral medicine interventions into real world practice has been limited. The purpose of this paper is to discuss specific limitations of current behavioral medicine research within the context of the RE-AIM framework, and potential opportunities to increase public health impact by applying novel intervention designs and data collection approaches. The MOST framework has recently emerged as an alternative approach to development and evaluation that aims to optimize multicomponent behavioral and bio-behavioral interventions. SMART designs, imbedded within the MOST framework, are an approach to optimize adaptive interventions. In addition to innovative design strategies, novel data collection approaches that have the potential to improve the public-health dissemination include mHealth approaches and considering environment as a potential data source. Finally, becoming involved in advocacy via policy related work may help to improve the impact of evidence-based behavioral interventions. Innovative methods, if increasingly implemented, may have the ability to increase the public health impact of evidence-based behavioral interventions to prevent disease.


Design; Environment; Evidence-based behavioral medicine; MOST; Methods; Policy; SMART; mHealth

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