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Participatory Logic Modeling in a Multi-Site Initiative to Advance Implementation Science

BACKGROUND: It is increasingly being recognized that logic models should be developed through a participatory approach which allows input from those who carry out the program being evaluated. While there are many positive examples of participatory logic modeling, funders have generally not used this...

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Autores principales: Easterling, Douglas, Jacob, Rebekah R., Brownson, Ross C., Haire-Joshu, Debra, Gundersen, Daniel A., Angier, Heather, DeVoe, Jennifer E., Likumahuwa-Ackman, Sonja, Vu, Thuy, Glasgow, Russell E., Schnoll, Robert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246100/
https://www.ncbi.nlm.nih.gov/pubmed/37292912
http://dx.doi.org/10.21203/rs.3.rs-2846665/v1
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author Easterling, Douglas
Jacob, Rebekah R.
Brownson, Ross C.
Haire-Joshu, Debra
Gundersen, Daniel A.
Angier, Heather
DeVoe, Jennifer E.
Likumahuwa-Ackman, Sonja
Vu, Thuy
Glasgow, Russell E.
Schnoll, Robert
author_facet Easterling, Douglas
Jacob, Rebekah R.
Brownson, Ross C.
Haire-Joshu, Debra
Gundersen, Daniel A.
Angier, Heather
DeVoe, Jennifer E.
Likumahuwa-Ackman, Sonja
Vu, Thuy
Glasgow, Russell E.
Schnoll, Robert
author_sort Easterling, Douglas
collection PubMed
description BACKGROUND: It is increasingly being recognized that logic models should be developed through a participatory approach which allows input from those who carry out the program being evaluated. While there are many positive examples of participatory logic modeling, funders have generally not used this approach in the context of multi-site initiatives. This article describes an instance where the funder and evaluator of a multi-site initiative fully engaged the funded organizations in developing the initiative logic model. The focus of the case study is Implementation Science Centers in Cancer Control (ISC(3)), a multi-year initiative funded by the National Cancer Institute (NCI). METHODS: The case study was collectively constructed by representatives of the seven centers funded under ISC(3). Members of the Cross-Center Evaluation (CCE) Work Group jointly articulated the process through which the logic model was developed and refined. Individual Work Group members contributed descriptions of how their respective centers reviewed and used the logic model. Cross-cutting themes and lessons emerged through CCE Work Group meetings and the writing process. RESULTS: The initial logic model for ISC(3) changed in significant ways as a result of the input of the funded groups. Authentic participation in the development of the logic model led to strong buy-in among the centers, as evidenced by their utilization. The centers shifted both their evaluation design and their programmatic strategy to better accommodate the expectations reflected in the initiative logic model. CONCLUSIONS: The ISC(3) case study provides a positive example of how participatory logic modeling can be mutually beneficial to funders, grantees and evaluators of multi-site initiatives. Funded groups have important insights about what is feasible and what will be required to achieve the initiative’s stated objectives. They can also help identify the contextual factors that either inhibit or facilitate success, which can then be incorporated into both the logic model and the evaluation design. In addition, when grantees co-develop the logic model, they have a better understanding and appreciation of the funder’s expectations, and thus are better positioned to meet those expectations.
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spelling pubmed-102461002023-06-08 Participatory Logic Modeling in a Multi-Site Initiative to Advance Implementation Science Easterling, Douglas Jacob, Rebekah R. Brownson, Ross C. Haire-Joshu, Debra Gundersen, Daniel A. Angier, Heather DeVoe, Jennifer E. Likumahuwa-Ackman, Sonja Vu, Thuy Glasgow, Russell E. Schnoll, Robert Res Sq Article BACKGROUND: It is increasingly being recognized that logic models should be developed through a participatory approach which allows input from those who carry out the program being evaluated. While there are many positive examples of participatory logic modeling, funders have generally not used this approach in the context of multi-site initiatives. This article describes an instance where the funder and evaluator of a multi-site initiative fully engaged the funded organizations in developing the initiative logic model. The focus of the case study is Implementation Science Centers in Cancer Control (ISC(3)), a multi-year initiative funded by the National Cancer Institute (NCI). METHODS: The case study was collectively constructed by representatives of the seven centers funded under ISC(3). Members of the Cross-Center Evaluation (CCE) Work Group jointly articulated the process through which the logic model was developed and refined. Individual Work Group members contributed descriptions of how their respective centers reviewed and used the logic model. Cross-cutting themes and lessons emerged through CCE Work Group meetings and the writing process. RESULTS: The initial logic model for ISC(3) changed in significant ways as a result of the input of the funded groups. Authentic participation in the development of the logic model led to strong buy-in among the centers, as evidenced by their utilization. The centers shifted both their evaluation design and their programmatic strategy to better accommodate the expectations reflected in the initiative logic model. CONCLUSIONS: The ISC(3) case study provides a positive example of how participatory logic modeling can be mutually beneficial to funders, grantees and evaluators of multi-site initiatives. Funded groups have important insights about what is feasible and what will be required to achieve the initiative’s stated objectives. They can also help identify the contextual factors that either inhibit or facilitate success, which can then be incorporated into both the logic model and the evaluation design. In addition, when grantees co-develop the logic model, they have a better understanding and appreciation of the funder’s expectations, and thus are better positioned to meet those expectations. American Journal Experts 2023-05-18 /pmc/articles/PMC10246100/ /pubmed/37292912 http://dx.doi.org/10.21203/rs.3.rs-2846665/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Easterling, Douglas
Jacob, Rebekah R.
Brownson, Ross C.
Haire-Joshu, Debra
Gundersen, Daniel A.
Angier, Heather
DeVoe, Jennifer E.
Likumahuwa-Ackman, Sonja
Vu, Thuy
Glasgow, Russell E.
Schnoll, Robert
Participatory Logic Modeling in a Multi-Site Initiative to Advance Implementation Science
title Participatory Logic Modeling in a Multi-Site Initiative to Advance Implementation Science
title_full Participatory Logic Modeling in a Multi-Site Initiative to Advance Implementation Science
title_fullStr Participatory Logic Modeling in a Multi-Site Initiative to Advance Implementation Science
title_full_unstemmed Participatory Logic Modeling in a Multi-Site Initiative to Advance Implementation Science
title_short Participatory Logic Modeling in a Multi-Site Initiative to Advance Implementation Science
title_sort participatory logic modeling in a multi-site initiative to advance implementation science
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246100/
https://www.ncbi.nlm.nih.gov/pubmed/37292912
http://dx.doi.org/10.21203/rs.3.rs-2846665/v1
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