Evidence map›Paper›PMID 30236125›Full record

Observational studyScandinavian journal of trauma, resuscitation and emergency medicine2018

Independent determinants of prolonged emergency department length of stay in a tertiary care centre: a prospective cohort study.

Daniël van der Veen, Claudia Remeijer, Anne J Fogteloo, Christian Heringhaus, Bas de Groot

Abstract readObservational Study
In one paragraph

Observational study in Scandinavian journal of trauma, resuscitation and emergency medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 4 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

42 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Pooled it
  4. Methodological Approaches to Support Process Improvement in Emergency Departments: A Systematic Review.International journal of environmental research and public health · 2020
    Pooled it
  5. Emergency Department length of stay: a mixed-methods study in four Ethiopian public hospitals.African journal of emergency medicine : Revue africaine de la medecine d'urgence · 2026
    Article
  6. Daily emergency department volume and in-hospital mortality: the importance of temporal alignment.Scandinavian journal of trauma, resuscitation and emergency medicine · 2026
    Article
  7. Patient-Physician Agreement on Diagnosis in the ED, Part of Diagnostic Excellence. A Prospective Multicenter Study.Academic emergency medicine : official journal of the Society for Academic Emergency Medicine · 2026
    Article
  8. Review
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  16. Review
  17. Determinants of Length of Stay for Medical Inpatients Using Survival Analysis.International journal of environmental research and public health · 2024
    Article
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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

5 authors.

Daniël van der VeenDepartment of Emergency Medicine, Leiden University Medical Centre, Albinusdreef 2, 2300 RC, Leiden, the Netherlands.
Claudia RemeijerDepartment of Emergency Medicine, Leiden University Medical Centre, Albinusdreef 2, 2300 RC, Leiden, the Netherlands.
Anne J FogtelooDepartment of Internal Medicine, Leiden University Medical Centre, Albinusdreef 2, 2300 RC, Leiden, the Netherlands.
Christian HeringhausDepartment of Emergency Medicine, Leiden University Medical Centre, Albinusdreef 2, 2300 RC, Leiden, the Netherlands.
Bas de GrootDepartment of Emergency Medicine, Leiden University Medical Centre, Albinusdreef 2, 2300 RC, Leiden, the Netherlands. b.de_groot.seh@lumc.nl.ORCID http://orcid.org/0000-0003-1219-6795

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEmergency department (ED) overcrowding is a potential threat for patient safety. We searched for independent determinants of prolonged ED length of stay (LOS) with the aim to identify factors which can be targeted to reduce ED LOS, which may help in preventing overcrowding.

methodsThis prospective cohort study included consecutive ED patients in a Dutch tertiary care centre. Multivariable logistic regression analysis was used to identify independent determinants of ED LOS > 4 h, including patient characteristics (demographics, referral type, acuity, (number of) presenting complaints and comorbidity), treating specialty, diagnostic testing, consultations, number of patients in the ED and disposition. Furthermore, we quantified the absolute time delays (measured in real-time) associated with the most important independent determinants of prolonged ED LOS.

resultsIn 1434 included patients independent determinants of prolonged ED LOS were number and type of presenting complaints, specialty, laboratory/radiology testing and consultations, and ICU admission. Modifiable determinants with the largest impact were blood testing; Adjusted odds ratio (AOR (95%-CI)); 3.45 (1.95-6.11), urine testing; 1.79 (1.21-2.63), radiology imaging; 3.02 (2.13-4.30), and consultation; 5.90 (4.08-8.54). Combined with the laboratory/radiology testing and/or consultations (requested in 1123 (78%) patients) the decision-making and discharge process consumed between 74 (42%) and 117 (66%) minutes of the total ED LOS of 177 (IQR: 129-225) minutes.

conclusionsIn tertiary care EDs, ED LOS can be reduced if the process of laboratory/radiology testing and consulting is optimized and the decision-making and discharge procedures are accelerated.

Indexed as

Emergency Service, HospitalLength of StayTertiary Care CentersAdultAgedClinical Decision-MakingFemaleHumansIntensive Care UnitsMaleMiddle AgedPatient DischargeProspective StudiesReferral and ConsultationYoung AdultEmergency departmentEmergency department length of stayOvercrowding

Identifiers

PMID30236125
PMCPMC6148782

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.