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Impact of Geographical Cohorting in the ICU: An Academic Tertiary Care Center Experience
ICU is a multifaceted organization where multiple teams care for critically ill patients. In the current era, collaboration between teams and efficient workflows form the backbone of value-based care. Geographical cohorting is a widespread model for hospitalist rounding, but its role in ICUs is uncl...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523794/ https://www.ncbi.nlm.nih.gov/pubmed/33063024 http://dx.doi.org/10.1097/CCE.0000000000000212 |
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author | Kapoor, Rajat Gupta, Nupur Roberts, Scott D. Naum, Chris Perkins, Anthony J. Khan, Babar A. |
author_facet | Kapoor, Rajat Gupta, Nupur Roberts, Scott D. Naum, Chris Perkins, Anthony J. Khan, Babar A. |
author_sort | Kapoor, Rajat |
collection | PubMed |
description | ICU is a multifaceted organization where multiple teams care for critically ill patients. In the current era, collaboration between teams and efficient workflows form the backbone of value-based care. Geographical cohorting is a widespread model for hospitalist rounding, but its role in ICUs is unclear. This study evaluates the outcomes of geographical cohorting in a large ICU of an Academic Health Center. DESIGN: This is a retrospective analysis of quality metrics collected 12 months pre- and post-implementation of geographical cohorting. SETTING: A total of 130 bedded ICU at tertiary academic health center in Midwest. PATIENTS: All patients admitted to the ICU. INTERVENTIONS: Our institution piloted the geographical cohorting model for critical care physician rounding on September 1, 2018. MEASUREMENTS: The quality metrics were categorized as ICU harm events and ICU hospital metrics. Team of critical care providers were surveyed 12 months after implementation. MAIN RESULTS: The critical care utilization in the pre- and post-implementation numbers were similar for patient days (pre = 34,839, post = 35,155), central-line days (pre = 17,648, post = 19,224), and Foley catheter days (pre = 18,292, post = 17,364). The ICU length of stay was similar (4.9 d) in both pre- and post-intervention periods. Significant reduction in the incidence of Clostridium difficile infection (relative risk, –0.50; 95% CI, 0.25–0.96; p = 0.039), hospital-acquired pressure injury (relative risk, –0.60; 95% CI, 0.39–0.92; p = 0.020), central line-associated bloodstream infection incidence (relative risk, –0.19; 95% CI, 0.05–0.52; p = 0.008), and catheter-associated urinary tract infection (relative risk, –0.52; 95% CI, 0.29–0.93; p = 0.027). Healthcare providers perceived optimal utilization of their time, reduced interruptions, and improved coordination of care with geographical rounding. CONCLUSIONS: Geographical cohorting improves coordination of care, physician workflow, and critical care quality metrics in very large ICUs. |
format | Online Article Text |
id | pubmed-7523794 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-75237942020-10-14 Impact of Geographical Cohorting in the ICU: An Academic Tertiary Care Center Experience Kapoor, Rajat Gupta, Nupur Roberts, Scott D. Naum, Chris Perkins, Anthony J. Khan, Babar A. Crit Care Explor Single-Center Quality Improvement Report ICU is a multifaceted organization where multiple teams care for critically ill patients. In the current era, collaboration between teams and efficient workflows form the backbone of value-based care. Geographical cohorting is a widespread model for hospitalist rounding, but its role in ICUs is unclear. This study evaluates the outcomes of geographical cohorting in a large ICU of an Academic Health Center. DESIGN: This is a retrospective analysis of quality metrics collected 12 months pre- and post-implementation of geographical cohorting. SETTING: A total of 130 bedded ICU at tertiary academic health center in Midwest. PATIENTS: All patients admitted to the ICU. INTERVENTIONS: Our institution piloted the geographical cohorting model for critical care physician rounding on September 1, 2018. MEASUREMENTS: The quality metrics were categorized as ICU harm events and ICU hospital metrics. Team of critical care providers were surveyed 12 months after implementation. MAIN RESULTS: The critical care utilization in the pre- and post-implementation numbers were similar for patient days (pre = 34,839, post = 35,155), central-line days (pre = 17,648, post = 19,224), and Foley catheter days (pre = 18,292, post = 17,364). The ICU length of stay was similar (4.9 d) in both pre- and post-intervention periods. Significant reduction in the incidence of Clostridium difficile infection (relative risk, –0.50; 95% CI, 0.25–0.96; p = 0.039), hospital-acquired pressure injury (relative risk, –0.60; 95% CI, 0.39–0.92; p = 0.020), central line-associated bloodstream infection incidence (relative risk, –0.19; 95% CI, 0.05–0.52; p = 0.008), and catheter-associated urinary tract infection (relative risk, –0.52; 95% CI, 0.29–0.93; p = 0.027). Healthcare providers perceived optimal utilization of their time, reduced interruptions, and improved coordination of care with geographical rounding. CONCLUSIONS: Geographical cohorting improves coordination of care, physician workflow, and critical care quality metrics in very large ICUs. Lippincott Williams & Wilkins 2020-09-25 /pmc/articles/PMC7523794/ /pubmed/33063024 http://dx.doi.org/10.1097/CCE.0000000000000212 Text en Copyright © 2020 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine. This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (http://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Single-Center Quality Improvement Report Kapoor, Rajat Gupta, Nupur Roberts, Scott D. Naum, Chris Perkins, Anthony J. Khan, Babar A. Impact of Geographical Cohorting in the ICU: An Academic Tertiary Care Center Experience |
title | Impact of Geographical Cohorting in the ICU: An Academic Tertiary Care Center Experience |
title_full | Impact of Geographical Cohorting in the ICU: An Academic Tertiary Care Center Experience |
title_fullStr | Impact of Geographical Cohorting in the ICU: An Academic Tertiary Care Center Experience |
title_full_unstemmed | Impact of Geographical Cohorting in the ICU: An Academic Tertiary Care Center Experience |
title_short | Impact of Geographical Cohorting in the ICU: An Academic Tertiary Care Center Experience |
title_sort | impact of geographical cohorting in the icu: an academic tertiary care center experience |
topic | Single-Center Quality Improvement Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7523794/ https://www.ncbi.nlm.nih.gov/pubmed/33063024 http://dx.doi.org/10.1097/CCE.0000000000000212 |
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