Evidence map›Paper›PMID 39414332›Full record

ArticleClinical and experimental emergency medicine2025

Factors that predict emergency department length of stay in analysis of national data.

Minha Kim, Sujeong Lee, Minyoung Choi, Doyeop Kim, Junsang Yoo, Tae Gun Shin, Jin-Hee Lee, Seongjung Kim, Hansol Chang, Eunsil Ko

Abstract read
In one paragraph

Article in Clinical and experimental emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
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

10 authors.

Minha KimDepartment of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Sujeong LeeDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea.
Minyoung ChoiDepartment of Medical Sciences, Graduate School of Kangwon National University, Chuncheon, Korea.
Doyeop KimDepartment of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Junsang YooDepartment of Health Sciences and Technology, Samsung Advanced Institute for Health Science & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea.
Tae Gun ShinDepartment of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Jin-Hee LeeNational Emergency Medical Center, National Medical Center, Seoul, Korea.
Seongjung KimNational Emergency Medical Center, National Medical Center, Seoul, Korea.
Hansol ChangDepartment of Emergency Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
Eunsil KoNational Emergency Medical Center, National Medical Center, Seoul, Korea.

Funding

National Research Foundation of Korea 2022R1A2C3004595
6 · The paper itself

Abstract

objectiveThis study used a nationwide database to identify and analyze factors that influence emergency department (ED) length of stay (LOS) and improve the efficiency of emergency care.

methodsThis retrospective study analyzed data from the National Emergency Department Information System (NEDIS) database in Korea: 25,578,263 ED visits from 2018 to 2022. Patient demographics, clinical characteristics, and ED operational variables were examined. Univariate and multivariate logistic regression analyses were used to assess the associations between the variables and prolonged ED LOS, defined as 6 hours or more.

resultsAmong the 25,578,263 patients, the median ED LOS was 2.1 hours (interquartile range, 1.050-3.830 hours), with 12.6% experiencing a prolonged ED LOS. Elderly patients (aged ≥65 years) were significantly more likely than younger patients to experience prolonged ED LOS (adjusted odds ratio [aOR], 1.415; 95% confidence interval [CI]: 1.411-1.419). Patients transferred from other hospitals (aOR, 1.469; 95% CI, 1.463-1.474) and those arriving by emergency medical services (aOR, 1.093; 95% CI, 1.077-1.108) also had high odds of prolonged LOS. Conversely, pediatric patients had a low likelihood of extended stay (aOR, 0.682; 95% CI, 0.678-0.686). Severe illness, including sepsis (aOR, 1.324; 95% CI, 1.311-1.340) and COVID-19 infection (aOR, 1.413; 95% CI, 1.399-1.427), was strongly associated with prolonged LOS.

conclusionProlonged ED LOS is influenced by a combination of patient demographics, clinical severity, and systemic factors. Targeted interventions for older adults, severe illness, and operational inefficiencies such as hospital transfers are essential for reducing ED LOS and improving overall emergency care delivery.

Indexed as

Emergency departmentsEmergency medical service communication systemsEmergency medicineHealth information systemsLength of stay

Identifiers

PMID39414332
PMCPMC12010807

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.