Evidence map›Paper›PMID 33063024›Full record

ArticleCritical care explorations2020

Impact of Geographical Cohorting in the ICU: An Academic Tertiary Care Center Experience.

Rajat Kapoor, Nupur Gupta, Scott D Roberts, Chris Naum, Anthony J Perkins, Babar A Khan

Open access · goldAbstract read
In one paragraph

Article in Critical care explorations, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 3 institutions in 1 country.

Rajat KapoorDivision of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN.
Nupur GuptaDivision of Nephrology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN.
Scott D RobertsDivision of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN.
Chris NaumDivision of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN.
Anthony J PerkinsDepartment of Biostatistics, Indiana University School of Medicine, Indianapolis, IN.
Babar A KhanDivision of Pulmonary, Critical Care, Sleep and Occupational Medicine, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN.
Indiana University School of MedicineIndiana University – Purdue University Indianapolis · USRegenstrief Institute · US

Funding

Decreasing Alzheimer's Disease and Related Dementias after Delirium-Exercise and Cognitive Training (DDD-ECT)R01AG055391 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI KHAN, BABAR A · 2017 to 2021
$3.5M
Mobile Critical Care Recovery Program (m-CCRP) for Acute Respiratory Failure (ARF) SurvivorsR01HL131730 · NHLBI · INDIANA UNIVERSITY INDIANAPOLIS · PI KHAN, BABAR A · 2017 to 2021
$3.2M
Collaborative Care for the Older Injured Patient: A Trauma Medical HomeR01AG052493 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI BOUSTANI, MALAZ, ZARZAUR, BEN L · 2017 to 2021
$2.5M
NHLBI NIH HHS R01 HL131730NIA NIH HHS R01 AG052493NIA NIH HHS R01 AG055391
6 · The paper itself

Abstract

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.

designThis is a retrospective analysis of quality metrics collected 12 months pre- and post-implementation of geographical cohorting.

settingA total of 130 bedded ICU at tertiary academic health center in Midwest. PATIENTS: All patients admitted to the ICU.

interventionsOur 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

resultsThe 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

conclusionsGeographical cohorting improves coordination of care, physician workflow, and critical care quality metrics in very large ICUs.

Indexed as

burnoutcollaboration of carecritical care quality metricsgeographical cohorting

Identifiers

PMID33063024
PMCPMC7523794
OpenAlexW3089064545

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.