Use of implementation logic models in the Quadruple Aim QUERI: conceptualization and evolution
Abstract Background Implementation strategies are essential to deliver evidence-based programs that align with local context, resources, priorities, and preferences. However, it is not always clear how specific strategies are selected (vs. others) and strategies are not always operationalized clearl...
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2025-01-01
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| Series: | Implementation Science Communications |
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| Online Access: | https://doi.org/10.1186/s43058-024-00678-6 |
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| author | Russell E. Glasgow Marina S. McCreight Brianne Morgan Heidi Sjoberg Anne Hale Lexus Ujano-De Motta Lauren McKown Rachael Kenney Heather Gilmartin Christine D. Jones Joseph Frank Borsika A. Rabin Catherine Battaglia |
| author_facet | Russell E. Glasgow Marina S. McCreight Brianne Morgan Heidi Sjoberg Anne Hale Lexus Ujano-De Motta Lauren McKown Rachael Kenney Heather Gilmartin Christine D. Jones Joseph Frank Borsika A. Rabin Catherine Battaglia |
| author_sort | Russell E. Glasgow |
| collection | DOAJ |
| description | Abstract Background Implementation strategies are essential to deliver evidence-based programs that align with local context, resources, priorities, and preferences. However, it is not always clear how specific strategies are selected (vs. others) and strategies are not always operationalized clearly, distinctly, and dynamically. Implementation logic models provide one useful way to conceptualize the role and selection of implementation strategies, plan evaluation of their intended impacts on implementation and effectiveness outcomes, and to communicate key aspects of a project. Methods This paper describes our initial plans, experiences, and lessons learned from applying implementation logic models in the Quadruple Aim Quality Enhancement Research Initiative (QUERI) a large multi-study program funded by the Veterans Health Administration (VA). We began with two primary implementation strategies based on our earlier work (i.e., Iterative RE-AIM and Relational Facilitation) that were applied across three different health outcomes studies. Results Our implementation strategies evolved over time, and new strategies were added. This evolution and reasons for changes are summarized and illustrated with the resulting logic models, both for the overall Quadruple Aim QUERI and the three specific projects. We found that implementation strategies are often not discrete, and their delivery and adaptation is dynamic and should be guided by emerging data and evolving context. Review of logic models across projects was an efficient and useful approach for understanding similarities and differences across projects. Conclusions Implementation logic models are helpful for clarifying key objectives and issues for both study teams and implementation partners. There are challenges in logic model construction and presentation when multiple strategies are employed, and when strategies change over time. We recommend presentation of both original and periodically updated project models and provide recommendations for future use of implementation logic models. |
| format | Article |
| id | doaj-art-a4ba35f6a7844212beb3709d5ff4f62c |
| institution | Kabale University |
| issn | 2662-2211 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Implementation Science Communications |
| spelling | doaj-art-a4ba35f6a7844212beb3709d5ff4f62c2025-01-19T12:25:33ZengBMCImplementation Science Communications2662-22112025-01-016111310.1186/s43058-024-00678-6Use of implementation logic models in the Quadruple Aim QUERI: conceptualization and evolutionRussell E. Glasgow0Marina S. McCreight1Brianne Morgan2Heidi Sjoberg3Anne Hale4Lexus Ujano-De Motta5Lauren McKown6Rachael Kenney7Heather Gilmartin8Christine D. Jones9Joseph Frank10Borsika A. Rabin11Catherine Battaglia12Adult and Child Center for Outcomes Research and Delivery Science, University of Colorado, Anschutz Medical CampusDenver-Seattle Center of Innovation for Veteran-Centered and Value-Driven CareDenver-Seattle Center of Innovation for Veteran-Centered and Value-Driven CareDenver-Seattle Center of Innovation for Veteran-Centered and Value-Driven CareDenver-Seattle Center of Innovation for Veteran-Centered and Value-Driven CareDenver-Seattle Center of Innovation for Veteran-Centered and Value-Driven CareDenver-Seattle Center of Innovation for Veteran-Centered and Value-Driven CareDenver-Seattle Center of Innovation for Veteran-Centered and Value-Driven CareDenver-Seattle Center of Innovation for Veteran-Centered and Value-Driven CareDenver-Seattle Center of Innovation for Veteran-Centered and Value-Driven CareDenver-Seattle Center of Innovation for Veteran-Centered and Value-Driven CareAdult and Child Center for Outcomes Research and Delivery Science, University of Colorado, Anschutz Medical CampusDenver-Seattle Center of Innovation for Veteran-Centered and Value-Driven CareAbstract Background Implementation strategies are essential to deliver evidence-based programs that align with local context, resources, priorities, and preferences. However, it is not always clear how specific strategies are selected (vs. others) and strategies are not always operationalized clearly, distinctly, and dynamically. Implementation logic models provide one useful way to conceptualize the role and selection of implementation strategies, plan evaluation of their intended impacts on implementation and effectiveness outcomes, and to communicate key aspects of a project. Methods This paper describes our initial plans, experiences, and lessons learned from applying implementation logic models in the Quadruple Aim Quality Enhancement Research Initiative (QUERI) a large multi-study program funded by the Veterans Health Administration (VA). We began with two primary implementation strategies based on our earlier work (i.e., Iterative RE-AIM and Relational Facilitation) that were applied across three different health outcomes studies. Results Our implementation strategies evolved over time, and new strategies were added. This evolution and reasons for changes are summarized and illustrated with the resulting logic models, both for the overall Quadruple Aim QUERI and the three specific projects. We found that implementation strategies are often not discrete, and their delivery and adaptation is dynamic and should be guided by emerging data and evolving context. Review of logic models across projects was an efficient and useful approach for understanding similarities and differences across projects. Conclusions Implementation logic models are helpful for clarifying key objectives and issues for both study teams and implementation partners. There are challenges in logic model construction and presentation when multiple strategies are employed, and when strategies change over time. We recommend presentation of both original and periodically updated project models and provide recommendations for future use of implementation logic models.https://doi.org/10.1186/s43058-024-00678-6Implementation strategyLogic modelAdaptationQUERIPragmatic researchIteration |
| spellingShingle | Russell E. Glasgow Marina S. McCreight Brianne Morgan Heidi Sjoberg Anne Hale Lexus Ujano-De Motta Lauren McKown Rachael Kenney Heather Gilmartin Christine D. Jones Joseph Frank Borsika A. Rabin Catherine Battaglia Use of implementation logic models in the Quadruple Aim QUERI: conceptualization and evolution Implementation Science Communications Implementation strategy Logic model Adaptation QUERI Pragmatic research Iteration |
| title | Use of implementation logic models in the Quadruple Aim QUERI: conceptualization and evolution |
| title_full | Use of implementation logic models in the Quadruple Aim QUERI: conceptualization and evolution |
| title_fullStr | Use of implementation logic models in the Quadruple Aim QUERI: conceptualization and evolution |
| title_full_unstemmed | Use of implementation logic models in the Quadruple Aim QUERI: conceptualization and evolution |
| title_short | Use of implementation logic models in the Quadruple Aim QUERI: conceptualization and evolution |
| title_sort | use of implementation logic models in the quadruple aim queri conceptualization and evolution |
| topic | Implementation strategy Logic model Adaptation QUERI Pragmatic research Iteration |
| url | https://doi.org/10.1186/s43058-024-00678-6 |
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