Evidence map›Paper›PMID 32563220›Full record

ArticleInternational journal of health policy and management2020

Analyzing Main and Interaction Effects of Length of Stay Determinants in Emergency Departments.

Gorkem Sarıyer, Mustafa Gökalp Ataman, İlker Kızıloğlu

Abstract read
In one paragraph

Article in International journal of health policy and management, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–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

10 citing papers in PubMed.

  1. Pediatric emergency care: Determinants and systematic barriers.World journal of clinical pediatrics · 2025
    Review
  2. Article
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  9. Factors Associated with Emergency Department Length of Stay in Critically Ill Patients: A Single-Center Retrospective Study.Medical science monitor : international medical journal of experimental and clinical research · 2021
    Article
  10. 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

3 authors.

Gorkem SarıyerDepartment of Business Administration, Yaşar University, İzmir, Turkey.ORCID 0000-0002-8290-2248
Mustafa Gökalp AtamanDepartment of Emergency Medicine, Çiğli Regional Training Hospital, İzmir, Turkey.ORCID 0000-0003-4468-0020
İlker KızıloğluDepartment of General Surgery, Çiğli Regional Training Hospital, İzmir, Turkey.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMeasuring and understanding main determinants of length of stay (LOS) in emergency departments (EDs) is critical from an operations perspective, since LOS is one of the main performance indicators of ED operations. Therefore, this study analyzes both the main and interaction effects of four widely-used independent determinants of ED-LOS.

methodsThe analysis was conducted using secondary data from an ED of a large urban hospital in Izmir, Turkey. Between-subject factorial analysis of variance (ANOVA) was used to test the main and interaction effects of the corresponding factors. P values <.05 were considered statistically significant.

resultsWhile the main effect of gender was insignificant, age, mode of arrival, and clinical acuity had significant effects, whereby ED-LOS was significantly higher for the elderly, those arriving by ambulance, and clinically-categorized high-acuity patients. Additionally, there was an interaction between the age and clinical acuity in that, while ED-LOS increased with age for high acuity patients, the opposite trend occurred for low acuity patients. When ED-LOS was modeled using gender, age, and mode of arrival, there was a significant interaction between age and mode of arrival. However, this interaction was not significant when the model included age, mode of arrival, and clinical acuity.

conclusionSignificant interactions exist between commonly used ED-LOS determinants. Therefore, interaction effects should be considered in analyzing and modelling ED-LOS.

Indexed as

Patient AcuityEmergency Service, HospitalFemaleHealth StatusHumansLength of StayMaleOutcome and Process Assessment, Health CarePatient DischargeRetrospective StudiesTurkeyClinical AcuityEmergency DepartmentFactorial ANOVALength of StayMode of Arrival

Identifiers

PMID32563220
PMCPMC7306116

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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.