About Us


This interactive webtool is designed to help researchers and practitioners develop a ‘logic model’ or diagram for their research or practice question, select the dissemination and implementation (D&I) Model(s) that best fit(s) their research question or practice problem, combine multiple D&I Models, adapt the D&I model(s) to the study or practice context, use the D&I Model(s) throughout the research or practice process, and find existing measures to assess the key constructs of the D&I Model(s) selected. The term ‘Model’ is used to refer to both theories and frameworks that make the dissemination and implementation of evidence-based interventions more likely


The Dissemination and Implementation Models in Health Research and Practice webtool was developed and is maintained as a collaborative effort of colleagues from the ACCORDS Dissemination and Implementation Science Program at the University of Colorado, Denver, the Dissemination and Implementation Research Core (DIRC) at the Washington University Institute for Clinical and Translational Science and the Dissemination and Implementation Science Center (DISC) at UC San Diego.

UC San Diego And University of Colorado, Denver University of Colorado, Denver Washington University in St. Louis


The initial set of models for this website were selected from two reviews of the D&I literature:

Tabak RG, Khoong EC, Chambers DA, Brownson RC. Bridging Research and Practice: Models for Dissemination and Implementation Research. Am J Prev Med 2012;43(3):337-350.

Mitchell SA, Fisher CA, Hastings CE, Silverman LB, Wallen GR. A Thematic Analysis of Theoretical Models for Translational Science in Nursing: Mapping the Field. Nurs Outlook 2010;58(6):287-300.

Additional models are added based on expert recommendations and more recent reviews of models (e.g., Wilson et al. , Birken et al. , Strifler et al ) as they become available.

Each model is categorized using an expanded criteria developed based on the original Tabak and colleagues paper:

See the Glossary for additional defintions used throughout the site.

An abstraction form was developed to abstract information about additional models. Each model was categorized by two experts and a consensus was reached. For further model abstractions, a lead expert trained a research assistant to abstract models and did additional validations.

Constructs and subconstructs (i.e., elements) were abstracted from each model and a modified Delphi approach was used to create meta-constructs. Meta-constructs were then assigned to models based on their elements. Measures are linked to outside measure databases based on constructs.


Funding for the development of the current version of this webtool was provided by:

We would like to thank Mary Hook for developing the example for the Adapt and Use sections of the webtool based on her study.


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