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The Implementation Research Logic Model: a method for planning, executing, reporting, and synthesizing implementation projects
BACKGROUND: Numerous models, frameworks, and theories exist for specific aspects of implementation research, including for determinants, strategies, and outcomes. However, implementation research projects often fail to provide a coherent rationale or justification for how these aspects are selected...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523057/ https://www.ncbi.nlm.nih.gov/pubmed/32988389 http://dx.doi.org/10.1186/s13012-020-01041-8 |
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author | Smith, Justin D. Li, Dennis H. Rafferty, Miriam R. |
author_facet | Smith, Justin D. Li, Dennis H. Rafferty, Miriam R. |
author_sort | Smith, Justin D. |
collection | PubMed |
description | BACKGROUND: Numerous models, frameworks, and theories exist for specific aspects of implementation research, including for determinants, strategies, and outcomes. However, implementation research projects often fail to provide a coherent rationale or justification for how these aspects are selected and tested in relation to one another. Despite this need to better specify the conceptual linkages between the core elements involved in projects, few tools or methods have been developed to aid in this task. The Implementation Research Logic Model (IRLM) was created for this purpose and to enhance the rigor and transparency of describing the often-complex processes of improving the adoption of evidence-based interventions in healthcare delivery systems. METHODS: The IRLM structure and guiding principles were developed through a series of preliminary activities with multiple investigators representing diverse implementation research projects in terms of contexts, research designs, and implementation strategies being evaluated. The utility of the IRLM was evaluated in the course of a 2-day training to over 130 implementation researchers and healthcare delivery system partners. RESULTS: Preliminary work with the IRLM produced a core structure and multiple variations for common implementation research designs and situations, as well as guiding principles and suggestions for use. Results of the survey indicated a high utility of the IRLM for multiple purposes, such as improving rigor and reproducibility of projects; serving as a “roadmap” for how the project is to be carried out; clearly reporting and specifying how the project is to be conducted; and understanding the connections between determinants, strategies, mechanisms, and outcomes for their project. CONCLUSIONS: The IRLM is a semi-structured, principle-guided tool designed to improve the specification, rigor, reproducibility, and testable causal pathways involved in implementation research projects. The IRLM can also aid implementation researchers and implementation partners in the planning and execution of practice change initiatives. Adaptation and refinement of the IRLM are ongoing, as is the development of resources for use and applications to diverse projects, to address the challenges of this complex scientific field. |
format | Online Article Text |
id | pubmed-7523057 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75230572020-09-30 The Implementation Research Logic Model: a method for planning, executing, reporting, and synthesizing implementation projects Smith, Justin D. Li, Dennis H. Rafferty, Miriam R. Implement Sci Research BACKGROUND: Numerous models, frameworks, and theories exist for specific aspects of implementation research, including for determinants, strategies, and outcomes. However, implementation research projects often fail to provide a coherent rationale or justification for how these aspects are selected and tested in relation to one another. Despite this need to better specify the conceptual linkages between the core elements involved in projects, few tools or methods have been developed to aid in this task. The Implementation Research Logic Model (IRLM) was created for this purpose and to enhance the rigor and transparency of describing the often-complex processes of improving the adoption of evidence-based interventions in healthcare delivery systems. METHODS: The IRLM structure and guiding principles were developed through a series of preliminary activities with multiple investigators representing diverse implementation research projects in terms of contexts, research designs, and implementation strategies being evaluated. The utility of the IRLM was evaluated in the course of a 2-day training to over 130 implementation researchers and healthcare delivery system partners. RESULTS: Preliminary work with the IRLM produced a core structure and multiple variations for common implementation research designs and situations, as well as guiding principles and suggestions for use. Results of the survey indicated a high utility of the IRLM for multiple purposes, such as improving rigor and reproducibility of projects; serving as a “roadmap” for how the project is to be carried out; clearly reporting and specifying how the project is to be conducted; and understanding the connections between determinants, strategies, mechanisms, and outcomes for their project. CONCLUSIONS: The IRLM is a semi-structured, principle-guided tool designed to improve the specification, rigor, reproducibility, and testable causal pathways involved in implementation research projects. The IRLM can also aid implementation researchers and implementation partners in the planning and execution of practice change initiatives. Adaptation and refinement of the IRLM are ongoing, as is the development of resources for use and applications to diverse projects, to address the challenges of this complex scientific field. BioMed Central 2020-09-25 /pmc/articles/PMC7523057/ /pubmed/32988389 http://dx.doi.org/10.1186/s13012-020-01041-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Smith, Justin D. Li, Dennis H. Rafferty, Miriam R. The Implementation Research Logic Model: a method for planning, executing, reporting, and synthesizing implementation projects |
title | The Implementation Research Logic Model: a method for planning, executing, reporting, and synthesizing implementation projects |
title_full | The Implementation Research Logic Model: a method for planning, executing, reporting, and synthesizing implementation projects |
title_fullStr | The Implementation Research Logic Model: a method for planning, executing, reporting, and synthesizing implementation projects |
title_full_unstemmed | The Implementation Research Logic Model: a method for planning, executing, reporting, and synthesizing implementation projects |
title_short | The Implementation Research Logic Model: a method for planning, executing, reporting, and synthesizing implementation projects |
title_sort | implementation research logic model: a method for planning, executing, reporting, and synthesizing implementation projects |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523057/ https://www.ncbi.nlm.nih.gov/pubmed/32988389 http://dx.doi.org/10.1186/s13012-020-01041-8 |
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