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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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PRINTED FROM OXFORD SCHOLARSHIP ONLINE (oxford.universitypressscholarship.com). (c) Copyright Oxford University Press, 2020. All Rights Reserved. An individual user may print out a PDF of a single chapter of a monograph in OSO for personal use. date: 26 November 2020

Design and Analysis in Dissemination and Implementation Research

Design and Analysis in Dissemination and Implementation Research

Chapter:
(p.201) 13 Design and Analysis in Dissemination and Implementation Research
Source:
Dissemination and Implementation Research in Health
Author(s):

John Landsverk

C. Hendricks Brown

Justin D. Smith

Patricia Chamberlain

Geoffrey M. Curran

Lawrence Palinkas

Mitsunori Ogihara

Sara Czaja

Jeremy D. Goldhaber-Fiebert

Wouter Vermeer

Lisa Saldana

Jennifer A. Rolls Reutz

Sarah McCue Horwitz

Publisher:
Oxford University Press
DOI:10.1093/oso/9780190683214.003.0013

A wide variety of dissemination and implementation designs are now being used to evaluate and improve health systems and outcomes. This chapter discusses randomized and nonrandomized designs for the traditional translational research continuum or pipeline, which builds on existing efficacy and effectiveness trials to examine how one or more evidence-based clinical/prevention interventions are adopted, scaled up, and sustained in community or service delivery systems. The chapter also considers other designs, including hybrid designs that combine effectiveness and implementation research, and designs that use simulation modeling. A case example of a recent large-scale implementation study is presented as an example of measurement and design considerations in dissemination and implementation research. The chapter provides suggested readings and websites useful for design decisions.

Keywords:   designs, hybrid designs, nonrandomized designs, randomized designs, research questions, simulations

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