Literature DB >> 33724707

Review article: Emergency department crowding measures associations with quality of care: A systematic review.

Peter G Jones1,2, David Mountain3, Roberto Forero4.   

Abstract

ED crowding has been reported to reduce the quality of care. There are many proposed crowding metrics, but the metric most strongly associated with care quality remains unknown. The present study aims to determine the crowding metric with the strongest links with processes and outcomes of care linked to the Institute of Medicine quality domains. Systematic searches in healthcare databases were conducted using terms for 'crowding', 'metrics' and 'performance', supplemented by grey literature and citation searches. The level of evidence for each association was assessed using an explicit tool. The body of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation approach. Evidence was synthesised using harvest plots. Titles and abstracts of 2052 studies were screened, 452 selected for full-text review and 183 included. Inter-observer agreement was moderate κ = 0.54 (95% confidence interval 0.50-0.59). Two thirds were from urban tertiary hospitals in North America (65%), Australasia (13%), Europe (12%) and Asia (8%). One third provided Level 3 or higher evidence. Metrics were based on occupancy (38%), time (31%), workload (19%) or combinations (9%). Data were synthesised from 25 607 375 patients, 2368 staff, 9089 hospitals and 101 177 sampling times. Almost all crowding metrics were patient-centred and reflect timeliness and efficiency. ED length of stay, boarding time and total occupancy had the strongest association with safety and effectiveness of care. ED length of stay was also associated with equity. The certainty of evidence for associations between crowding measures varied across domains of quality, from very low to moderate certainty.
© 2021 Australasian College for Emergency Medicine.

Entities:  

Keywords:  crowding; emergency service; hospital; length of stay; quality of healthcare; systematic review

Year:  2021        PMID: 33724707     DOI: 10.1111/1742-6723.13743

Source DB:  PubMed          Journal:  Emerg Med Australas        ISSN: 1742-6723            Impact factor:   2.151


  3 in total

1.  Artificial intelligence decision points in an emergency department.

Authors:  Hansol Chang; Won Chul Cha
Journal:  Clin Exp Emerg Med       Date:  2022-09-30

2.  A reality check for emergency department crowding interventions.

Authors:  Peter Jones; Kendall Ho; Martin Than
Journal:  CJEM       Date:  2022-06-14       Impact factor: 2.929

3.  Examining emergency department inequities in Aotearoa New Zealand: Findings from a national retrospective observational study examining Indigenous emergency care outcomes.

Authors:  Elana Curtis; Sarah-Jane Paine; Yannan Jiang; Peter Jones; Inia Tomash; Olivia Healey; Papaarangi Reid
Journal:  Emerg Med Australas       Date:  2021-10-14       Impact factor: 2.279

  3 in total

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