An Overview of Research and Evaluation Designs for Dissemination and Implementation
By C. Hendricks Brown, Geoffrey Curran, L. A. Palinkas, Gregory A. Aarons, Kenneth Wells, Loretta Jones, Linda M. Collins, N. Duan, Brian S. Mittman, Andrea Wallace and 8 more. Annual Review of Public Health, 2017
412 citations recorded by the source corpus.
Background The wide variety of dissemination and implementation designs now being used to evaluate and improve health systems and outcomes warrants review of the scope, features, and limitations of these designs. Methods This paper is one product of a design workgroup formed in 2013 by the National Institutes of Health to address dissemination and implementation research, and whose members represented diverse methodologic backgrounds, content focus areas, and health sectors. These experts integrated their collective knowledge on dissemination and implementation designs with searches of published evaluations strategies. Results This paper emphasizes randomized and non-randomized 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. We also mention other designs, including hybrid designs that combine effectiveness and implementation research, quality improvement designs for local knowledge, and designs that use simulation modeling.
Subfields: General Health Professions
View Paper: https://www.semanticscholar.org/paper/0da4bddebc1df0e0d3bc34393a513dcdd5717a1c
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In General Health Professions
- R. Beidas
- Dennis H. Li
- Justin D. Smith
- M. Rafferty
- Maria E. Fernandez
- C. Lewis
- Byron J. Powell
- Bryan J. Weiner
Citations in the corpus
- Selecting and Improving Quasi-Experimental Designs in Effectiveness and Implementation Research (2018, methodology): “Previous reviews in this journal have focused on the importance and use of QEDs and other methods to enhance causal inference when evaluating the impact of an intervention that has already been implemented (4,8,9,18).”
- The Implementation Research Logic Model: a method for planning, executing, reporting, and synthesizing implementation projects (2020, background): “In certain situations, it might be preferable to include the evidence-based intervention (EBI; defined as a clinical, preventive, or educational protocol or a policy, principle, or practice whose effects are supported by research [27]) (Fig.”
- Enhancing the Impact of Implementation Strategies in Healthcare: A Research Agenda (2019, background): “various components of multifaceted strategies and inform their sequencing (70, 85).”