Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kapoor, Rajat, Gupta, Nupur, Roberts, Scott D., Naum, Chris, Perkins, Anthony J., Khan, Babar A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2020
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
_version_ 1783588431667920896
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
work_keys_str_mv AT kapoorrajat impactofgeographicalcohortingintheicuanacademictertiarycarecenterexperience
AT guptanupur impactofgeographicalcohortingintheicuanacademictertiarycarecenterexperience
AT robertsscottd impactofgeographicalcohortingintheicuanacademictertiarycarecenterexperience
AT naumchris impactofgeographicalcohortingintheicuanacademictertiarycarecenterexperience
AT perkinsanthonyj impactofgeographicalcohortingintheicuanacademictertiarycarecenterexperience
AT khanbabara impactofgeographicalcohortingintheicuanacademictertiarycarecenterexperience