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Using Iterative RE-AIM to enhance hospitalist adoption of lung ultrasound in the management of patients with COVID-19: an implementation pilot study
BACKGROUND: Lung ultrasound (LUS) is a clinician-performed evidence-based imaging modality that has multiple advantages in the evaluation of dyspnea caused by multiple disease processes, including COVID-19. Despite these advantages, few hospitalists have been trained to perform LUS. The aim of this...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372925/ https://www.ncbi.nlm.nih.gov/pubmed/35962441 http://dx.doi.org/10.1186/s43058-022-00334-x |
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author | Maw, Anna M. Morris, Megan A. Glasgow, Russell E. Barnard, Juliana Ho, P. Michael Ortiz-Lopez, Carolina Fleshner, Michelle Kramer, Henry R. Grimm, Eric Ytell, Kate Gardner, Tiffany Huebschmann, Amy G. |
author_facet | Maw, Anna M. Morris, Megan A. Glasgow, Russell E. Barnard, Juliana Ho, P. Michael Ortiz-Lopez, Carolina Fleshner, Michelle Kramer, Henry R. Grimm, Eric Ytell, Kate Gardner, Tiffany Huebschmann, Amy G. |
author_sort | Maw, Anna M. |
collection | PubMed |
description | BACKGROUND: Lung ultrasound (LUS) is a clinician-performed evidence-based imaging modality that has multiple advantages in the evaluation of dyspnea caused by multiple disease processes, including COVID-19. Despite these advantages, few hospitalists have been trained to perform LUS. The aim of this study was to increase adoption and implementation of LUS during the 2020 COVID-19 pandemic by using recurrent assessments of RE-AIM outcomes to iteratively revise our implementation strategies. METHODS: In an academic hospital, we implemented guidelines for the use of LUS in patients with COVID-19 in July 2020. Using a novel “RE-AIM dashboard,” we used an iterative process of evaluating the high-priority outcomes of Reach, Adoption, and Implementation at twice monthly intervals to inform revisions of our implementation strategies for LUS delivery (i.e., Iterative RE-AIM process). Using a convergent mixed methods design, we integrated quantitative RE-AIM outcomes with qualitative hospitalist interview data to understand the dynamic determinants of LUS Reach, Adoption, and Implementation. RESULTS: Over the 1-year study period, 453 LUSs were performed in 298 of 12,567 eligible inpatients with COVID-19 (Reach = 2%). These 453 LUS were ordered by 43 out of 86 eligible hospitalists (LUS order adoption = 50%). However, the LUSs were performed/supervised by only 8 of these 86 hospitalists, 4 of whom were required to complete LUS credentialing as members of the hospitalist procedure service (proceduralist adoption 75% vs 1.2% non-procedural hospitalists adoption). Qualitative and quantitative data obtained to evaluate this Iterative RE-AIM process led to the deployment of six sequential implementation strategies and 3 key findings including (1) there were COVID-19-specific barriers to LUS adoption, (2) hospitalists were more willing to learn to make clinical decisions using LUS images than obtain the images themselves, and (3) mandating the credentialing of a strategically selected sub-group may be a successful strategy for improving Reach. CONCLUSIONS: Mandating use of a strategically selected subset of clinicians may be an effective strategy for improving Reach of LUS. Additionally, use of Iterative RE-AIM allowed for timely adjustments to implementation strategies, facilitating higher levels of LUS Adoption and Reach. Future studies should explore the replicability of these preliminary findings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s43058-022-00334-x. |
format | Online Article Text |
id | pubmed-9372925 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-93729252022-08-12 Using Iterative RE-AIM to enhance hospitalist adoption of lung ultrasound in the management of patients with COVID-19: an implementation pilot study Maw, Anna M. Morris, Megan A. Glasgow, Russell E. Barnard, Juliana Ho, P. Michael Ortiz-Lopez, Carolina Fleshner, Michelle Kramer, Henry R. Grimm, Eric Ytell, Kate Gardner, Tiffany Huebschmann, Amy G. Implement Sci Commun Research BACKGROUND: Lung ultrasound (LUS) is a clinician-performed evidence-based imaging modality that has multiple advantages in the evaluation of dyspnea caused by multiple disease processes, including COVID-19. Despite these advantages, few hospitalists have been trained to perform LUS. The aim of this study was to increase adoption and implementation of LUS during the 2020 COVID-19 pandemic by using recurrent assessments of RE-AIM outcomes to iteratively revise our implementation strategies. METHODS: In an academic hospital, we implemented guidelines for the use of LUS in patients with COVID-19 in July 2020. Using a novel “RE-AIM dashboard,” we used an iterative process of evaluating the high-priority outcomes of Reach, Adoption, and Implementation at twice monthly intervals to inform revisions of our implementation strategies for LUS delivery (i.e., Iterative RE-AIM process). Using a convergent mixed methods design, we integrated quantitative RE-AIM outcomes with qualitative hospitalist interview data to understand the dynamic determinants of LUS Reach, Adoption, and Implementation. RESULTS: Over the 1-year study period, 453 LUSs were performed in 298 of 12,567 eligible inpatients with COVID-19 (Reach = 2%). These 453 LUS were ordered by 43 out of 86 eligible hospitalists (LUS order adoption = 50%). However, the LUSs were performed/supervised by only 8 of these 86 hospitalists, 4 of whom were required to complete LUS credentialing as members of the hospitalist procedure service (proceduralist adoption 75% vs 1.2% non-procedural hospitalists adoption). Qualitative and quantitative data obtained to evaluate this Iterative RE-AIM process led to the deployment of six sequential implementation strategies and 3 key findings including (1) there were COVID-19-specific barriers to LUS adoption, (2) hospitalists were more willing to learn to make clinical decisions using LUS images than obtain the images themselves, and (3) mandating the credentialing of a strategically selected sub-group may be a successful strategy for improving Reach. CONCLUSIONS: Mandating use of a strategically selected subset of clinicians may be an effective strategy for improving Reach of LUS. Additionally, use of Iterative RE-AIM allowed for timely adjustments to implementation strategies, facilitating higher levels of LUS Adoption and Reach. Future studies should explore the replicability of these preliminary findings. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s43058-022-00334-x. BioMed Central 2022-08-12 /pmc/articles/PMC9372925/ /pubmed/35962441 http://dx.doi.org/10.1186/s43058-022-00334-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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 Maw, Anna M. Morris, Megan A. Glasgow, Russell E. Barnard, Juliana Ho, P. Michael Ortiz-Lopez, Carolina Fleshner, Michelle Kramer, Henry R. Grimm, Eric Ytell, Kate Gardner, Tiffany Huebschmann, Amy G. Using Iterative RE-AIM to enhance hospitalist adoption of lung ultrasound in the management of patients with COVID-19: an implementation pilot study |
title | Using Iterative RE-AIM to enhance hospitalist adoption of lung ultrasound in the management of patients with COVID-19: an implementation pilot study |
title_full | Using Iterative RE-AIM to enhance hospitalist adoption of lung ultrasound in the management of patients with COVID-19: an implementation pilot study |
title_fullStr | Using Iterative RE-AIM to enhance hospitalist adoption of lung ultrasound in the management of patients with COVID-19: an implementation pilot study |
title_full_unstemmed | Using Iterative RE-AIM to enhance hospitalist adoption of lung ultrasound in the management of patients with COVID-19: an implementation pilot study |
title_short | Using Iterative RE-AIM to enhance hospitalist adoption of lung ultrasound in the management of patients with COVID-19: an implementation pilot study |
title_sort | using iterative re-aim to enhance hospitalist adoption of lung ultrasound in the management of patients with covid-19: an implementation pilot study |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372925/ https://www.ncbi.nlm.nih.gov/pubmed/35962441 http://dx.doi.org/10.1186/s43058-022-00334-x |
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