Javascript must be enabled to continue!
Risk Factors for Hospital Admissions Among Emergency Department Patients: From Triage to Admission
View through CrossRef
Introduction: Healthcare systems typically provide multiple channels to access acute inpatient care, with the emergency department (ED) as the main route of access. The ED faces multifaceted demand and supply challenges, which implicate resource allocation and patient flow. In this study we aimed to identify factors associated with hospital admissions among ED patients in a Singapore tertiary-care hospital. Methods: Using a retrospective cohort study of all eligible visits to a Singapore ED between January 1–December 31, 2019, we conducted a multivariable, mixed-effect logistic regression model to study the factors associated with hospital admissions. The model accounted for patients’ demographics; triage category; arrival mode; referral source; time of ED visit; discharge diagnosis; and ED occupancy levels. Results: In 2019, there were 141,719 visits to the ED, with 42,238 (30%) of these visits resulting in hospital admissions. Factors associated with increased odds of hospital admissions included increasing age, being male, ethnicity (Malay vs Chinese), higher patient acuity, non-self-referred patients (vs self-referred), patient being conveyed by ambulances (vs walk-in), and category of disease. Our model demonstrated that the highest odds of inpatient admissions were attributed to the patient’s acuity (highest vs lowest acuity: odds ratio [OR] 326, 95% confidence interval [CI] 292-363), followed by patients’ age (70 and above vs 30 and below: OR 13.8, 95% CI 12.8-14.8). The ORs for all other factors with significantly increased odds of admissions were modest, ranging from 1.12-4.18. Although the ED occupancy levels at the hour of the patient’s disposition decision, the hour of the ED visit, and the month of the ED visit were significantly associated with hospital admissions, changes in the probabilities of hospital admissions across the possible range of values of these factors were marginal. Conclusion: Our study revealed several factors significantly associated with hospital admissions, with patient acuity and age as the most important factors. Moreover, emergency physicians’ decisions to admit patients were clinically consistent and only marginally influenced by the degree of ED crowding. These findings offer invaluable insights into follow-up studies that will be crucial in shaping new policies or designing new interventions to enhance current preventive health or healthcare delivery systems to curtail the growth in inpatient-bed demand among ED patients over time.
California Digital Library (CDL)
Title: Risk Factors for Hospital Admissions Among Emergency Department Patients: From Triage to Admission
Description:
Introduction: Healthcare systems typically provide multiple channels to access acute inpatient care, with the emergency department (ED) as the main route of access.
The ED faces multifaceted demand and supply challenges, which implicate resource allocation and patient flow.
In this study we aimed to identify factors associated with hospital admissions among ED patients in a Singapore tertiary-care hospital.
Methods: Using a retrospective cohort study of all eligible visits to a Singapore ED between January 1–December 31, 2019, we conducted a multivariable, mixed-effect logistic regression model to study the factors associated with hospital admissions.
The model accounted for patients’ demographics; triage category; arrival mode; referral source; time of ED visit; discharge diagnosis; and ED occupancy levels.
Results: In 2019, there were 141,719 visits to the ED, with 42,238 (30%) of these visits resulting in hospital admissions.
Factors associated with increased odds of hospital admissions included increasing age, being male, ethnicity (Malay vs Chinese), higher patient acuity, non-self-referred patients (vs self-referred), patient being conveyed by ambulances (vs walk-in), and category of disease.
Our model demonstrated that the highest odds of inpatient admissions were attributed to the patient’s acuity (highest vs lowest acuity: odds ratio [OR] 326, 95% confidence interval [CI] 292-363), followed by patients’ age (70 and above vs 30 and below: OR 13.
8, 95% CI 12.
8-14.
8).
The ORs for all other factors with significantly increased odds of admissions were modest, ranging from 1.
12-4.
18.
Although the ED occupancy levels at the hour of the patient’s disposition decision, the hour of the ED visit, and the month of the ED visit were significantly associated with hospital admissions, changes in the probabilities of hospital admissions across the possible range of values of these factors were marginal.
Conclusion: Our study revealed several factors significantly associated with hospital admissions, with patient acuity and age as the most important factors.
Moreover, emergency physicians’ decisions to admit patients were clinically consistent and only marginally influenced by the degree of ED crowding.
These findings offer invaluable insights into follow-up studies that will be crucial in shaping new policies or designing new interventions to enhance current preventive health or healthcare delivery systems to curtail the growth in inpatient-bed demand among ED patients over time.
Related Results
Improving emergency department triage quality improvement project
Improving emergency department triage quality improvement project
Background: Healthcare presents challenges that require nursing professionals to continually evaluate their practice. Overcrowding in the emergency department (ED) has become a wor...
Optimizing prehospital triage: Web‐based tools for severity classification in prehospital care, prospective study in Northern Thailand
Optimizing prehospital triage: Web‐based tools for severity classification in prehospital care, prospective study in Northern Thailand
Abstract
Background
Emergency medical services act as the frontline in patient care. They triage patients' severity and i...
Referral to geriatric rehabilitation
Referral to geriatric rehabilitation
Summary
Older hospital patients are vulnerable to adverse outcomes of hospital stay. In aging societies,
post-acute care (PAC) programs were developed to support functional
recov...
Proceedings of the Qatar Paediatric Emergency Medicine 2026 Conference - Selected Abstracts
Proceedings of the Qatar Paediatric Emergency Medicine 2026 Conference - Selected Abstracts
Welcome to this issue of Panorama of Emergency Medicine (POEM) dedicated to the 10th Qatar Paediatric Emergency Medicine (Q-PEM) International Conference which was organised and ho...
“We can’t do without it”: Parent and call-handler experiences of video triage of children at a medical helpline
“We can’t do without it”: Parent and call-handler experiences of video triage of children at a medical helpline
BackgroundPediatric out-of-hours calls are common, as parents worry and seek reassurance and shared responsibility. Nevertheless, most children assessed in this context are not ser...
Efektivitas Pembelajaran Triase Berbasis Simulasi terhadap Kompetensi Triase Mahasiswa Keperawatan pada Prodi D-III Keperawatan Aceh Tenggara Poltekkes Kemenkes Aceh
Efektivitas Pembelajaran Triase Berbasis Simulasi terhadap Kompetensi Triase Mahasiswa Keperawatan pada Prodi D-III Keperawatan Aceh Tenggara Poltekkes Kemenkes Aceh
ABSTRACT Emergency services require timely access and appropriate competence in ensuring patient safety. Triage competency supports nursing task performance and nurse self-efficacy...
Evolution of Antimicrobial Resistance in Community vs. Hospital-Acquired Infections
Evolution of Antimicrobial Resistance in Community vs. Hospital-Acquired Infections
Abstract
Introduction
Hospitals are high-risk environments for infections. Despite the global recognition of these pathogens, few studies compare microorganisms from community-acqu...
Does Admission Prevalence Change After Reconfiguration of Inpatient Services?
Does Admission Prevalence Change After Reconfiguration of Inpatient Services?
Abstract
Background. Service reconfiguration of inpatient services in a hospital includes complete and partial closure of all emergency inpatient facilities. The “natural e...

