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Dissemination and Implementation Research in HealthTranslating Science to Practice$
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Ross C. Brownson, Graham A. Colditz, and Enola K. Proctor

Print publication date: 2017

Print ISBN-13: 9780190683214

Published to Oxford Scholarship Online: November 2017

DOI: 10.1093/oso/9780190683214.001.0001

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Systems Science Methods in Dissemination and Implementation Research

Systems Science Methods in Dissemination and Implementation Research

Chapter:
(p.157) 10 Systems Science Methods in Dissemination and Implementation Research
Source:
Dissemination and Implementation Research in Health
Author(s):

Douglas A. Luke

Alexandra B. Morshed

Virginia R. McKay

Todd B. Combs

Publisher:
Oxford University Press
DOI:10.1093/oso/9780190683214.003.0010

As we have seen, numerous analysis and modeling tools that take into account the natural complexity of systems and dissemination and implementation processes are available, and the use of them is increasing over time. This chapter summarizes the characteristics, potential insights, and limitations of each modeling approach. It is important to note that modeling from a systems perspective, like all modeling approaches, requires assumptions about variables to include (or exclude), and hypothesized relationships dictate the quality of the model and the utility of the results. As such, using theory and empirical data to inform model design is paramount. Systems thinking and methods remain underutilized in dissemination and implementation despite demonstrations of the utility of incorporating systems thinking and methods into dissemination and implementation studies.

Keywords:   agent-based modeling, complexity, multilevel approaches, social network analysis, system dynamics modeling, systems methods

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