Gorkem SariyerMustafa Gökalp Atamanİlker KızıloğluAtaman, Mustafa GokalpSariyer, GorkemKiziloglu, Ilker2025-10-062020232259392322-593910.15171/ijhpm.2019.1072-s2.0-85083302092https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083302092&doi=10.15171%2Fijhpm.2019.107&partnerID=40&md5=3b72fca2d2bc0909ec33a99b158c518fhttps://gcris.yasar.edu.tr/handle/123456789/9217https://doi.org/10.15171/ijhpm.2019.107Background: Measuring 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. Methods: The 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. Results: While 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. Conclusion: Significant interactions exist between commonly used ED-LOS determinants. Therefore interaction effects should be considered in analyzing and modelling ED-LOS. © 2020 Elsevier B.V. All rights reserved.Englishinfo:eu-repo/semantics/openAccessClinical Acuity, Emergency Department, Factorial Anova, Length Of Stay, Mode Of Arrival, Female, Health Status, Hospital Discharge, Hospital Emergency Service, Human, Length Of Stay, Male, Patient Acuity, Retrospective Study, Turkey (bird), Emergency Service Hospital, Female, Health Status, Humans, Length Of Stay, Male, Outcome And Process Assessment Health Care, Patient Acuity, Patient Discharge, Retrospective Studies, Turkeyfemale, health status, hospital discharge, hospital emergency service, human, length of stay, male, patient acuity, retrospective study, turkey (bird), Emergency Service Hospital, Female, Health Status, Humans, Length of Stay, Male, Outcome and Process Assessment Health Care, Patient Acuity, Patient Discharge, Retrospective Studies, TurkeyLength of StayFactorial ANOVAEmergency DepartmentMode of ArrivalClinical AcuityArticle