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The Stanford Lightning Report Method: A comparison of rapid qualitative synthesis results across four implementation evaluations

BACKGROUND: Current evaluation methods are mismatched with the speed of health care innovation and needs of health care delivery partners. We introduce a qualitative approach called the lightning report method and its specific product—the “Lightning Report.” We compare implementation evaluation resu...

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Autores principales: Brown‐Johnson, Cati, Safaeinili, Nadia, Zionts, Dani, Holdsworth, Laura M., Shaw, Jonathan G., Asch, Steven M., Mahoney, Megan, Winget, Marcy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156867/
https://www.ncbi.nlm.nih.gov/pubmed/32313836
http://dx.doi.org/10.1002/lrh2.10210
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author Brown‐Johnson, Cati
Safaeinili, Nadia
Zionts, Dani
Holdsworth, Laura M.
Shaw, Jonathan G.
Asch, Steven M.
Mahoney, Megan
Winget, Marcy
author_facet Brown‐Johnson, Cati
Safaeinili, Nadia
Zionts, Dani
Holdsworth, Laura M.
Shaw, Jonathan G.
Asch, Steven M.
Mahoney, Megan
Winget, Marcy
author_sort Brown‐Johnson, Cati
collection PubMed
description BACKGROUND: Current evaluation methods are mismatched with the speed of health care innovation and needs of health care delivery partners. We introduce a qualitative approach called the lightning report method and its specific product—the “Lightning Report.” We compare implementation evaluation results across four projects to explore report sensitivity and the potential depth and breadth of lightning report method findings. METHODS: The lightning report method was refined over 2.5 years across four projects: team‐based primary care, cancer center transformation, precision health in primary care, and a national life‐sustaining decisions initiative. The novelty of the lightning report method is the application of Plus/Delta/Insight debriefing to dynamic implementation evaluation. This analytic structure captures Plus (“what works”), Delta (“what needs to be changed”), and Insights (participant or evaluator insights, ideas, and recommendations). We used structured coding based on implementation science barriers and facilitators outlined in the Consolidated Framework for Implementation Research (CFIR) applied to 17 Lightning Reports from four projects. RESULTS: Health care partners reported that Lighting Reports were valuable, easy to understand, and they implied reports supported “corrective action” for implementations. Comparative analysis revealed cross‐project emphasis on the domains of Inner Setting and Intervention Characteristics, with themes of communication, resources/staffing, feedback/reflection, alignment with simultaneous interventions and traditional care, and team cohesion. In three of the four assessed projects, the largest proportion of coding was to the clinic‐level domain of Inner Setting—ranging from 39% for the cancer center project to a high of 56% for the life‐sustaining decisions project. CONCLUSIONS: The lightning report method can fill a gap in rapid qualitative approaches and is generalizable with consistent but flexible core methods. Comparative analysis suggests it is a sensitive tool, capable of uncovering differences and insights in implementation across projects. The Lightning Report facilitates partnered evaluation and communication with stakeholders by providing real‐time, actionable insights in dynamic health care implementations.
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spelling pubmed-71568672020-04-20 The Stanford Lightning Report Method: A comparison of rapid qualitative synthesis results across four implementation evaluations Brown‐Johnson, Cati Safaeinili, Nadia Zionts, Dani Holdsworth, Laura M. Shaw, Jonathan G. Asch, Steven M. Mahoney, Megan Winget, Marcy Learn Health Syst Research Reports BACKGROUND: Current evaluation methods are mismatched with the speed of health care innovation and needs of health care delivery partners. We introduce a qualitative approach called the lightning report method and its specific product—the “Lightning Report.” We compare implementation evaluation results across four projects to explore report sensitivity and the potential depth and breadth of lightning report method findings. METHODS: The lightning report method was refined over 2.5 years across four projects: team‐based primary care, cancer center transformation, precision health in primary care, and a national life‐sustaining decisions initiative. The novelty of the lightning report method is the application of Plus/Delta/Insight debriefing to dynamic implementation evaluation. This analytic structure captures Plus (“what works”), Delta (“what needs to be changed”), and Insights (participant or evaluator insights, ideas, and recommendations). We used structured coding based on implementation science barriers and facilitators outlined in the Consolidated Framework for Implementation Research (CFIR) applied to 17 Lightning Reports from four projects. RESULTS: Health care partners reported that Lighting Reports were valuable, easy to understand, and they implied reports supported “corrective action” for implementations. Comparative analysis revealed cross‐project emphasis on the domains of Inner Setting and Intervention Characteristics, with themes of communication, resources/staffing, feedback/reflection, alignment with simultaneous interventions and traditional care, and team cohesion. In three of the four assessed projects, the largest proportion of coding was to the clinic‐level domain of Inner Setting—ranging from 39% for the cancer center project to a high of 56% for the life‐sustaining decisions project. CONCLUSIONS: The lightning report method can fill a gap in rapid qualitative approaches and is generalizable with consistent but flexible core methods. Comparative analysis suggests it is a sensitive tool, capable of uncovering differences and insights in implementation across projects. The Lightning Report facilitates partnered evaluation and communication with stakeholders by providing real‐time, actionable insights in dynamic health care implementations. John Wiley and Sons Inc. 2019-12-21 /pmc/articles/PMC7156867/ /pubmed/32313836 http://dx.doi.org/10.1002/lrh2.10210 Text en © 2019 The Authors. Learning Health Systems published by Wiley Periodicals, Inc. on behalf of University of Michigan This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Reports
Brown‐Johnson, Cati
Safaeinili, Nadia
Zionts, Dani
Holdsworth, Laura M.
Shaw, Jonathan G.
Asch, Steven M.
Mahoney, Megan
Winget, Marcy
The Stanford Lightning Report Method: A comparison of rapid qualitative synthesis results across four implementation evaluations
title The Stanford Lightning Report Method: A comparison of rapid qualitative synthesis results across four implementation evaluations
title_full The Stanford Lightning Report Method: A comparison of rapid qualitative synthesis results across four implementation evaluations
title_fullStr The Stanford Lightning Report Method: A comparison of rapid qualitative synthesis results across four implementation evaluations
title_full_unstemmed The Stanford Lightning Report Method: A comparison of rapid qualitative synthesis results across four implementation evaluations
title_short The Stanford Lightning Report Method: A comparison of rapid qualitative synthesis results across four implementation evaluations
title_sort stanford lightning report method: a comparison of rapid qualitative synthesis results across four implementation evaluations
topic Research Reports
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156867/
https://www.ncbi.nlm.nih.gov/pubmed/32313836
http://dx.doi.org/10.1002/lrh2.10210
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