Literature DB >> 33421675

Effect of emergency critical care nurses and emergency department boarding time on in-hospital mortality in critically ill patients.

Jason Nesbitt1, Tsuyoshi Mitarai2, Garrett K Chan3, Jennifer G Wilson2, Kian Niknam2, Matthew J R Nudelman4, Cristopher Cinkowski5, Michael A Kohn6.   

Abstract

STUDY HYPOTHESIS: We hypothesized that establishing a program of specialized emergency critical care (ECC) nurses in the ED would improve mortality of ICU patients boarding in the ED.
METHODS: This was a retrospective before-after cohort study using electronic health record data at an academic medical center. We compared in-hospital mortality between the pre- and post-intervention periods and between non-prolonged (≤6 h) boarding time and prolonged (>6 h) boarding time. In-hospital mortality was stratified by illness severity (eccSOFA category) and adjusted using logistic regression.
RESULTS: Severity-adjusted in-hospital mortality decreased from 12.8% pre-intervention to 12.3% post-intervention (-0.5% (95% CI, -3.1% to 2.1%), which was not statistically significant. This was despite a concurrent increase in ED and hospital crowding. The proportion of ECC patients downgraded to a lower level of care while still in the ED increased from 6.4% in the pre-intervention period to 17.0% in the post-intervention period. (+10.6%, 8.2% to 13.0%, p < 0.001). Severity-adjusted mortality was 12.8% in the non-prolonged group vs. 11.3% in the prolonged group (p = 0.331).
CONCLUSIONS: During the post-intervention period, there was a significant increase in illness severity, hospital congestion, ED boarding time, and downgrades in the ED, but no significant change in mortality. These findings suggest that ECC nurses may improve the safety of boarding ICU patients in the ED. Longer ED boarding times were not associated with higher mortality in either the pre- or post-intervention periods.
Copyright © 2020 Elsevier Inc. All rights reserved.

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Year:  2020        PMID: 33421675     DOI: 10.1016/j.ajem.2020.12.067

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  2 in total

1.  Risk factors analysis of COVID-19 patients with ARDS and prediction based on machine learning.

Authors:  Wan Xu; Nan-Nan Sun; Hai-Nv Gao; Zhi-Yuan Chen; Ya Yang; Bin Ju; Ling-Ling Tang
Journal:  Sci Rep       Date:  2021-02-03       Impact factor: 4.379

2.  Selection bias in estimating the relationship between prolonged ED boarding and mortality in emergency critical care patients.

Authors:  Kevin Gardner; Alexandra June Gordon; Bryant Shannon; Jason Nesbitt; Jennifer G Wilson; Tsuyoshi Mitarai; Michael A Kohn
Journal:  J Am Coll Emerg Physicians Open       Date:  2022-01-27
  2 in total

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