Evidence map›Paper›PMID 28844764›Full record

ArticleAnnals of emergency medicine2018

Hospital Strategies for Reducing Emergency Department Crowding: A Mixed-Methods Study.

Anna Marie Chang, Deborah J Cohen, Amber Lin, James Augustine, Daniel A Handel, Eric Howell, Hyunjee Kim, Jesse M Pines, Jeremiah D Schuur, K John McConnell and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Annals of emergency medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 3 pooled it
–field-weighted citation impact
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

47 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Anna Marie ChangDepartment of Emergency Medicine, Thomas Jefferson University, Philadelphia, PA. Electronic address: annamarie.chang@jefferson.edu.
Deborah J CohenDepartment of Family Medicine, Oregon Health & Science University, Portland, OR.
Amber LinDepartment of Emergency Medicine, Oregon Health & Science University, Portland, OR.
James AugustineDepartment of Emergency Medicine, Wright State Physicians, Dayton, OH.
Daniel A HandelDivision of Emergency Medicine, Medical University of South Carolina, Charleston, SC.
Eric HowellDepartment of Medicine, Johns Hopkins University, Baltimore, MD.
Hyunjee KimDepartment of Emergency Medicine, Oregon Health & Science University, Portland, OR; Center for Health Systems Effectiveness, Oregon Health & Science University, Portland, OR.
Jesse M PinesDepartments of Emergency Medicine and Health Policy and Management, George Washington University, Washington, DC.
Jeremiah D SchuurDepartment of Emergency Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA.
K John McConnellDepartment of Emergency Medicine, Oregon Health & Science University, Portland, OR; Center for Health Systems Effectiveness, Oregon Health & Science University, Portland, OR.
Benjamin C SunDepartment of Emergency Medicine, Oregon Health & Science University, Portland, OR.

Funding

Oregon Multidisciplinary Training Program in Emergency Medicine Clinical ResearchK12HL108974 · NHLBI · OREGON HEALTH & SCIENCE UNIVERSITY · PI NEWGARD, CRAIG D. · 2011 to 2015
$3.8M
Identifying Hospital Practices to Reduce Emergency Department Crowding.R21AG044607 · NIA · OREGON HEALTH & SCIENCE UNIVERSITY · PI SUN, BENJAMIN C · 2014 to 2015
$418k
NHLBI NIH HHS K12 HL108974NIA NIH HHS R21 AG044607
6 · The paper itself

Abstract

STUDY

objectiveEmergency department (ED) crowding and patient boarding are associated with increased mortality and decreased patient satisfaction. This study uses a positive deviance methodology to identify strategies among high-performing, low-performing, and high-performance improving hospitals to reduce ED crowding.

methodsIn this mixed-methods comparative case study, we purposively selected and recruited hospitals that were within the top and bottom 5% of Centers for Medicare & Medicaid Services case-mix-adjusted ED length of stay and boarding times for admitted patients for 2012. We also recruited hospitals that showed the highest performance improvement in metrics between 2012 and 2013. Interviews were conducted with 60 key leaders (physicians, nurses, quality improvement specialists, and administrators).

resultsWe engaged 4 high-performing, 4 low-performing, and 4 high-performing improving hospitals, matched on hospital characteristics including geographic designation (urban versus rural), region, hospital occupancy, and ED volume. Across all hospitals, ED crowding was recognized as a hospitalwide issue. The strategies for addressing ED crowding varied widely. No specific interventions were associated with performance in length-of-stay metrics. The presence of 4 organizational domains was associated with hospital performance: executive leadership involvement, hospitalwide coordinated strategies, data-driven management, and performance accountability.

conclusionThere are organizational characteristics associated with ED decreased length of stay. Specific interventions targeted to reduce ED crowding were more likely to be successfully executed at hospitals with these characteristics. These organizational domains represent identifiable and actionable changes that other hospitals may incorporate to build awareness of ED crowding.

Indexed as

CrowdingQuality ImprovementWaiting ListsAdultEmergency Service, HospitalFemaleHumansLength of StayMalePatient AdmissionPatient SatisfactionTime FactorsUnited States

Identifiers

PMID28844764
PMCPMC5828915

What OpenQuestion holds

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Registered trials

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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.