ArticleClinical and experimental emergency medicine2025
Factors that predict emergency department length of stay in analysis of national data.
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.
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Who cites it
7 citing papers in PubMed.
- Association between emergency department crowding and mortality: a nationwide analysis stratified by emergency department levels: a retrospective cohort study.BMC emergency medicine · 2026Article
- Determinants of Emergency Department Length of Stay and the Mediation Effect of Disposition Among Injury Patients in South Korea: A Nationwide Retrospective Study.Healthcare (Basel, Switzerland) · 2026Article
- [Characteristics and clinical outcomes of cancer patients presenting to the emergency department in Korea: a retrospective descriptive study].Journal of Korean biological nursing science · 2026Article
- Prognostic Performance of the Korean Triage and Acuity Scale Combined with the National Early Warning Score for Predicting Mortality and ICU Admission at Emergency Department Triage: A Retrospective Observational Study.Diagnostics (Basel, Switzerland) · 2026Article
- Factors Associated with Length of Stay Among Patients in the Emergency Department of an Indonesian Tertiary Hospital: A Cross-Sectional Study.Journal of multidisciplinary healthcare · 2026Article
- Epidemiological trends in emergency department visits by age group: a report from the National Emergency Department Information System (NEDIS) of Korea, 2020-2024.Clinical and experimental emergency medicine · 2025Article
- Patient and emergency department factors influencing surgery timing in patients with hip fracture.Scientific reports · 2025Observational
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Authors and funding
10 authors.
Funding
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.
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