Emergency Department Crowding Research Articles

Decreased patient discharges on weekends part 3: what do the leaders tell us?

Emergency department (ED) crowding is a significant challenge to providing safe and quality care to patients. We know that hospital and ED crowding is exacerbated on Mondays because fewer in-patients are discharged on the weekend. We evaluated barriers and potential solutions to improve in-patient flow and diminished weekend discharges, in hopes of decreasing the severe ED crowding observed on Mondays. In this observational study, we conducted interviews of (a) leaders at The Ottawa Hospital, a major academic health sciences centre (nursing, allied health, physicians), and (b) leaders of community facilities (long-term care and chronic hospital) that receive patients from the hospital, and (c) home care. Each interview was conducted individually and addressed perceived barriers to the discharge of hospital in-patients on weekends as well as potential solutions. An inductive thematic analysis was conducted whereby themes were organized into a summary table of barriers and solutions. We interviewed 40 leaders including 30 nursing, physician, and allied health leaders from the hospital as well as 10 senior personnel from community facilities and home care. Many barriers to weekend discharges were identified, highlighting that this problem is complex with many interdependent internal and external factors. Fortunately, many specific potential solutions were suggested, in immediate, short-term and long-term time horizons. While many solutions require additional resources, others require a culture change whereby hospital and community stakeholders recognize that services must be provided consistently, seven days a week. We have identified the complex and interdependent barriers to weekend discharges of in-patients. There are numerous specific opportunities for hospital staff and services, physicians, and community facilities to provide the same patient care on weekends as on weekdays. This will lead to improved patient flow and safety, and to decreased ED crowding on Mondays.

The skåne emergency medicine (SEM) cohort

BackgroundIn the European Union alone, more than 100 million people present to the emergency department (ED) each year, and this has increased steadily year-on-year by 2–3%. Better patient management decisions have the potential to reduce ED crowding, the number of diagnostic tests, the use of inpatient beds, and healthcare costs.MethodsWe have established the Skåne Emergency Medicine (SEM) cohort for developing clinical decision support systems (CDSS) based on artificial intelligence or machine learning as well as traditional statistical methods. The SEM cohort consists of 325 539 unselected unique patients with 630 275 visits from January 1st, 2017 to December 31st, 2018 at eight EDs in the region Skåne in southern Sweden. Data on sociodemographics, previous diseases and current medication are available for each ED patient visit, as well as their chief complaint, test results, disposition and the outcome in the form of subsequent diagnoses, treatments, healthcare costs and mortality within a follow-up period of at least 30 days, and up to 3 years.DiscussionThe SEM cohort provides a platform for CDSS research, and we welcome collaboration. In addition, SEM’s large amount of real-world patient data with almost complete short-term follow-up will allow research in epidemiology, patient management, diagnostics, prognostics, ED crowding, resource allocation, and social medicine.

Perceived Work Demands and Emergency Department Crowding as Predictors of Objective Stress among Emergency Physicians: A Shift-Level Approach.

To understand shift-level determinants of emergency physician (EP) burnout, relationships were tested between EP shift demands, stress, and fatigue. EP (N = 16) were assessed over 114 shifts that occurred before and during the COVID-19 pandemic. Salivary cortisol (an indicator of stress) and self-reported fatigue were collected prior to and following each shift. An objective crowding score (NEDOCS) per shift was calculated. Shift demands were assessed at the end of each shift. Multilevel models revealed that shift demands, NEDOCS, and the pandemic were related to higher levels of end-of-shift cortisol, but not fatigue. Cortisol levels were higher for shifts with a higher number of demands, greater crowding, and during the pandemic. Shift demands predicted objective indicators of stress, but not self-reported fatigue. Interventions are needed to decrease stress and shift demands to reduce EP burnout.

Emergency department crowding: An examination of older adults and vulnerability.

Emergency departments in many nations worldwide have been struggling for many years with crowding and the subsequent provision of care in hallways and other unconventional spaces. While this issue has been investigated and analyzed from multiple perspectives, the ethical dimensions of the place of emergency department care have been underexamined. Specifically, the impacts of the place of care on patients and their caregivers have not been robustly explored in the literature. In this article, a feminist ethics and human geography framing is utilized to argue that care provision in open and unconventional spaces in the emergency department can be unethical, as vulnerability can be amplified by the place of care for patients and their caregivers. The situational and pathogenic vulnerability of patients can be heightened by the place of the emergency department and by the constraints to healthcare providers' capacity to promote patient comfort, privacy, communication, and autonomy in this setting. The arrangements of care in the emergency department are of particular concern for older adults given the potential increased risks for vulnerability in this population. As such, hallway healthcare can reflect the normalized inequities of structural ageism. Recommendations are provided to address this complicated ethical issue, including making visible the moral experiences of patients and their caregivers, as well as those of healthcare providers in the emergency department, advocating for a systems-level accounting for the needs of older adults in the emergency department and more broadly in healthcare, as well as highlighting the need for further research to examine how to foster autonomy and care in the emergency department to reduce the risk for vulnerabilities.

An Investigation into Demographic Disparities in Emergency Department Disposition Decisions

We investigate the presence of health disparities in emergency department (ED) disposition decisions and if crowding levels might have an exacerbating role. Using data from a large, academic ED, we find statistically significant associations between ED disposition decisions and patient sex, race, as well as ethnicity, with male, Caucasian, and non-Hispanic patients being more likely to be admitted to the hospital compared with, respectively, female, African-American, and Hispanic patients. In line with earlier findings in other studies, we find that longer waiting times, suggesting higher levels of ED crowding, is associated with higher rates of admission. Moreover, longer ED wait times modified sex differences, suggesting that the disposition disparity in female patients might be exacerbated when the ED is more crowded.

Factors predictive of hospital admission for children via emergency departments in Australia and Sweden: an observational cross-sectional study

BackgroundIdentifying factors predictive of hospital admission can be useful to prospectively inform bed management and patient flow strategies and decrease emergency department (ED) crowding. It is largely unknown if admission rate or factors predictive of admission vary based on the population to which the ED served (i.e., children only, or both adults and children). This study aimed to describe the profile and identify factors predictive of hospital admission for children who presented to four EDs in Australia and one ED in Sweden.MethodsA multi-site observational cross-sectional study using routinely collected data pertaining to ED presentations made by children < 18 years of age between July 1, 2011 and October 31, 2012. Univariate and multivariate analysis were undertaken to determine factors predictive of hospital admission.ResultsOf the 151,647 ED presentations made during the study period, 22% resulted in hospital admission. Admission rate varied by site; the children’s EDs in Australia had higher admission rates (South Australia: 26%, Queensland: 23%) than the mixed (adult and children’s) EDs (South Australia: 13%, Queensland: 17%, Sweden: 18%). Factors most predictive of hospital admission for children, after controlling for triage category, included hospital type (children’s only) adjusted odds ratio (aOR):2.3 (95%CI: 2.2–2.4), arrival by ambulance aOR:2.8 (95%CI: 2.7–2.9), referral from primary health aOR:1.5 (95%CI: 1.4–1.6) and presentation with a respiratory or gastrointestinal condition (aOR:2.6, 95%CI: 2.5–2.8 and aOR:1.5, 95%CI: 1.4–1.6, respectively). Predictors were similar when each site was considered separately.ConclusionsAlthough the characteristics of children varied by site, factors predictive of hospital admission were mostly similar. The awareness of these factors predicting the need for hospital admission can support the development of clinical pathways.

Causes and Solutions for Emergency Department Crowding: A Qualitative Study of Healthcare Staff Perspectives

Introduction: Emergency Department (ED) crowding is a major problem globally. This situation leads to many negative consequences such as long waiting time, decreased satisfaction of patients and healthcare staff, delay in treatment of patients most in need of emergency care, decrease in the quality of healthcare provided and increase in healthcare costs. The aim of this study is to determine why patients prefer to use the ED, to identify the current problems of ED services and to develop solutions from the perspectives of ED healthcare staff in order to alleviate the ED crowding and related problems.&#x0D; Methods: This study utilised a qualitative approach. In-depth semi-structured interviews were conducted with 22 ED healthcare staff between 20th December 2021 and 18th February 2022. Thematic analysis method was performed to analyse the data.&#x0D; Results: Twenty-two ED healthcare staff were interviewed; 16 were male and 6 were female. ED healthcare staff interviews were conducted with 14 ED nurses, 6 ED doctors, and 2 ED consultants, who had at least 1-year of work experience in the ED, without any consideration of their gender or age. As a result of the data analysis, five main themes emerged: Insufficient healthcare system, patient-related problems, advantages of EDs, consequences of ED crowding, and solutions for ED crowding.&#x0D; Conclusion: Insufficient healthcare system, advantages of ED, and patients’ perceptions about using healthcare services led patients to use ED and subsequently to the ED crowding. There is a need for effective solutions to alleviate ED crowding. The precautions to reduce non-urgent ED visits are not enough. Many factors need to be considered and all of them should be applied together accordingly.

The 4 S's of Disaster Management Framework: A Case Study of the 2022 Pediatric Tripledemic Response in a Community Hospital

Most children in the United States present to community hospitals for emergency department (ED) care. Those who are acutely ill and require critical care are stabilized and transferred to a tertiary pediatric hospital with intensive care capabilities. During the fall of 2022 "tripledemic," with a marked increase in viral burden, there was a nationwide surge in pediatric ED patient volume. This caused ED crowding and decreased availability of pediatric hospital intensive care beds across the United States. As a result, there was an inability to transfer patients who were critically ill out, and the need for prolonged management increased at the community hospital level. We describe the experience of a Massachusetts community ED during this surge, including the large influx in pediatric patients, the increase in those requiring critical care, and the total number of critical care hours as compared with the same time period (September to December) in 2021. To combat these challenges, the pediatric ED leadership applied a disaster management framework based on the 4 S's of space, staff, stuff, and structure. We worked collaboratively with general emergency medicine leadership, nursing, respiratory therapy, pharmacy, local clinicians, our regional health care coalition, and emergency medical services (EMS) to create and implement the pediatric surge strategy. Here, we present the disaster framework strategy, the interventions employed, and the barriers and facilitators for implementation in our community hospital setting, which could be applied to other community hospital facing similar challenges.

Impacts of the 2021 heat dome on emergency department visits, hospitalizations, and health system operations in three hospitals in Seattle, Washington.

Extreme heat events (EHEs) are associated with excess healthcare utilization but specific impacts on emergency department (ED) operations and throughput are unknown. In 2021, the Pacific Northwest experienced an unprecedented heat dome that resulted in substantial regional morbidity and mortality. The aim of this study was to examine its impact on ED utilization, unplanned hospitalization, and hospital operations in a large academic healthcare system. Retrospective electronic medical records from three Seattle-area hospitals were used to compare healthcare utilization during the EHE compared to a pre-event reference period within the same month. Interrupted time series analysis was used to evaluate the association between EHE exposure and ED visits and hospitalizations. Metrics of ED crowding for the EHE were compared to the reference period using Student's t-tests and chi-squared tests. Additionally, multivariable Poisson regression was used to identify risk factors for heat-related illness and hospital admission. Interrupted time series analysis showed an increase of 21.7 ED visits per day (95% confidence interval [CI]=14.7, 28.6) and 9.9 unplanned hospitalizations per day (95% CI=8.3, 11.5) during the EHE, as compared to the reference period. ED crowding and process measures also displayed significant increases, becoming the most pronounced by day 3 of the EHE; the EHE was associated with delays in ED length of stay of 1.0h (95% CI=0.4, 1.6) compared to the reference period. Higher incidence rate ratios for heat-related illness were observed for patients who were older (incidence rate ratio [IRR]=1.02; 95% CI=1.01,1.03), female (IRR=1.47; 95% CI=1.06, 2.04), or who had pre-existing diabetes (IRR=3.19; 95% CI=1.47, 6.94). The 2021 heat dome was associated with a significant increase in healthcare utilization including ED visits and unplanned hospitalizations. Substantial impacts on ED and hospital throughput were also noted. These findings contribute to the understanding of the role extreme heat events play on impacting patient outcomes and healthcare system function.

From Fragmentation to Integration in Emergency Medicine: Providing Care Our Patients Deserve

The emergency care systems of most communities around the world have multiple components through which patients move and which are, at best, disjointed and not well coordinated. Illnesses and injuries which begin in the community and frequently preventable often do not have the benefit of bystander assistance or dedicated immediate emergency ambulance care and arrive at Emergency Departments that are crowded. Patients often spend long hours in these Emergency Departments and, if requiring inpatient care, have to wait many hours before an inpatient bed becomes available. Those requiring further convalescent care may often find inadequate arrangements available for them to recover smoothly. The end result is delays and adverse clinical outcomes that are often not measured or even appreciated. This report discusses each of ten components of the emergency care system as in exists in most communities, including injury and illness prevention, the community burden of emergencies, bystander first responder care, ambulance-based second responder care, emergency department crowding and its contributory factors, transitions of care to the inpatient departments and community convalescent care units, coordination of emergency departments in the community, the patient’s family and, of course, the emergency patient. The effects of fragmentation in each of these components are described and strategies to address each mentioned. There is a need for a patient-centric, integrated approach to the provision of emergency care in any community which can break down the barriers created by fragmented care and provide the seamless, high-quality care that all our patients deserve.

The effect of having a physician in the triage area on the rate of patients leaving without being seen: A quality improvement initiative at King Fahad Specialist hospital.

To evaluate the effect of the presence of a physician in the triage area on the number of patients who leave without being seen (LWBS) and some of the factors affecting emergency department (ED) crowding. This was a pre-post study carried out at King Fahad Specialist Hospital, Dammam, Saudi Arabia. The 3-month study, consisting of 7826 patients, was split into pre-physician and post-physician periods. Variables compared across these periods were the number of LWBS patients, length of hospital stay, time to physician, and time to disposition decision. Statistical analysis was carried out using R version 4.3.0. Our results showed that the presence of a triage physician significantly decreased the number of LWBS patients (p<0.001) and the time taken to encounter an ED physician (p<0.001). However, it did not have any significant impact on the length of hospital stay (p=0.5) or time to disposition decision (p=0.9). The appointment of a triage physician has streamlined patient flow and decreased LWBS rates in the ED, demonstrating the need for more thorough research in this area.

Strategies to convert hospital beds for COVID-19 patients to minimize emergency department overcrowding.

Background: The shortage of hospital beds for COVID-19 patients has been one critical cause of Emergency Department (ED) overcrowding. Purpose: We aimed at elaborating a strategy of conversion of hospital beds, from non-COVID-19 to COVID-19 care, minimizing both ED overcrowding and the number of beds eventually converted. Research Design: Observational retrospective study. Study Sample: We considered the centralized database of all ED admissions in the Lombardy region of Italy during the second "COVID-19 wave" (October to December 2020). Data collection and Analysis: We analyzed all admissions to 82 EDs. We devised a family of Monte Carlo simulations to evaluate the performance of hospital beds' conversion strategies triggered by ED crowding of COVID-19 patients, determining a critical number of beds to be converted when passing an ED-specific crowding threshold. Results: Our results suggest that the maximum number of patients waiting for hospitalization could have been decreased by 70% with the proposed strategy. Such a reduction would have been achieved by converting 30% more hospital beds than the total number converted in the region. Conclusions: The disproportion between reduction in ED crowding and additionally converted beds suggests that a wide margin to improve the efficiency of the conversions exists. The proposed simulation apparatus can be easily generalized to study management policies synchronizing ED output and in-hospital bed availability.

Overcrowding in emergency departments: an overview of reviews describing global solutions and their outcomes.

Emergency Department (ED) crowding is defined as a situation wherein the demands of emergency services overcome the ability of a department to provide high-quality care within an appropriate time frame. There is a need for solutions, as the harms of crowding impact patients, staff, and healthcare spending. An overview of ED crowding was previously published by our group, which outlines these global issues. The problem of overcrowding in emergency departments has emerged as a global public health concern, and several healthcare agencies have addressed the issue and proposed possible solutions at each level of emergency care. There is no current literature summarizing the extensive research on interventions and solutions, thus there is a need for data synthesis to inform policymakers in this field. The aim of this overview was to summarize the interventions at each level of emergency care: input, throughput, and output. The methodology was supported by the current PRIOR statement for an overview of reviews. The study summarized twenty-seven full-text systematic reviews, which encompassed three hundred and eight primary studies. The results of the summary displayed a requirement for increasing studies in input and output interventions, as these showed the best outcomes with regard to ED crowding metrics. Moreover, the results displayed heterogeneous results at each level of ED care; these reflected that generally solutions have not been matched to specific problems facing regional centres. Thus, individual factors need to be considered when implementing solutions in Emergency Departments.

Estimating emergency department crowding with stochastic population models.

Environments such as shopping malls, airports, or hospital emergency-departments often experience crowding, with many people simultaneously requesting service. Crowding highly fluctuates, with sudden overcrowding "spikes". Past research has either focused on average behavior, used context-specific models with a large number of parameters, or machine-learning models that are hard to interpret. Here we show that a stochastic population model, previously applied to a broad range of natural phenomena, can aptly describe hospital emergency-department crowding. We test the model using data from five-year minute-by-minute emergency-department records. The model provides reliable forecasting of the crowding distribution. Overcrowding is highly sensitive to the patient arrival-flux and length-of-stay: a 10% increase in arrivals triples the probability of overcrowding events. Expediting patient exit-rate to shorten the typical length-of-stay by just 20 minutes (8.5%) cuts the probability of severe overcrowding events by 50%. Such forecasting is critical in prevention and mitigation of breakdown events. Our results demonstrate that despite its high volatility, crowding follows a dynamic behavior common to many systems in nature.

Effectiveness of modified Manchester triage flow model regarding patients’ waiting time

Triage is a French word meaning to sort or to choose. Triage is therefore a process whereby each patient is prioritized amongst the randomly approaching patients in the Accident &amp; Emergency Department/rescue area for emergency care ( Zachariasse et al., 2021). Sorting of patients into priority categories is often performed by an experienced doctor/surgeon or a senior health professional/nurse. The triage nurse/health professional shall quickly assess the patient’s condition, interpret the clinical features and then exercise interventions in the early phase to prevent deterioration and death (Soler‐Sanchis, Martínez‐Arnau, Sánchez‐Frutos, &amp; Pérez‐Ros, 2022). The objective of the triage is to defer a patient who can wait, while give priority to those who are in imminent danger, and whose life can be saved by a timely intervention (Costa, Nicolaidis, Gonçalves, Souza, &amp; Blatt, 2020). The Manchester Triage System is used to maintain a consistent method of prioritising and assessing patients, allowing for thorough audits and improved patient safety. Emergency departments (EDs) are seeing more difficulties globally as a result of an increase in patients and an inability to adjust capacity to meet demand. This is against a background of decreasing hospital resources. Consequently, ED crowding has become a great, international phenomenon (Zachariasse et al., 2021). The Manchester Triage System is one of Europe's most widely used triage systems, considering five levels to prioritise patients in the ED: level 1 (red), immediate; level 2 (orange), very urgent; level 3 (yellow), urgent; level 4 (green), standard; and level 5 (blue), non-urgent (Brutschin, Kogej, Schacher, Berger, &amp; Gräff, 2021) Patient flow model refers to the movement of patients through health care settings involves the medical care, physical resources, and internal systems needed to get patients from the point of admission to the point of discharge while maintaining quality and patient/provider satisfaction (Tlapa et al., 2020). The major facility for urgent medical difficulties is a hospital emergency department (ED), which is a complex system with erratic demands.

Clinician consensus on “Inappropriate” presentations to the Emergency Department in the Better Data, Better Planning (BDBP) census: a cross-sectional multi-centre study of emergency department utilisation in Ireland

BackgroundUtilisation of the Emergency Department (ED) for non-urgent care increases demand for services, therefore reducing inappropriate or avoidable attendances is an important area for intervention in prevention of ED crowding. This study aims to develop a consensus between clinicians across care settings about the “appropriateness” of attendances to the ED in Ireland.MethodsThe Better Data, Better Planning study was a multi-centre, cross-sectional study investigating factors influencing ED utilisation in Ireland. Data was compiled in patient summary files which were assessed for measures of appropriateness by an academic General Practitioner (GP) and academic Emergency Medicine Consultant (EMC) National Panel. In cases where consensus was not reached charts were assessed by an Independent Review Panel (IRP). At each site all files were autonomously assessed by local GP-EMC panels.ResultsThe National Panel determined that 11% (GP) to 38% (EMC) of n = 306 lower acuity presentations could be treated by a GP within 24-48 h (k = 0.259; p < 0.001) and that 18% (GP) to 35% (EMC) of attendances could be considered “inappropriate” (k = 0.341; p < 0.001). For attendances deemed “appropriate” the admission rate was 47% compared to 0% for “inappropriate” attendees. There was no consensus on 45% of charts (n = 136). Subset analysis by the IRP determined that consensus for appropriate attendances ranged from 0 to 59% and for inappropriate attendances ranged from 0 to 29%. For the Local Panel review (n = 306) consensus on appropriateness ranged from 40 to 76% across ED sites.ConclusionsMultidisciplinary clinicians agree that “inappropriate” use of the ED in Ireland is an issue. However, obtaining consensus on appropriateness of attendance is challenging and there was a significant cohort of complex heterogenous presentations where agreement could not be reached by clinicians in this study. This research again demonstrates the complexity of ED crowding, the introduction of evidence-based care pathways targeting avoidable presentations may serve to alleviate the problem in our EDs.

A complexity-based measure for emergency department crowding

PurposeOvercrowding continues to afflict emergency departments (EDs), and its attendant consequences are becoming increasingly severe. The burden of the COVID-19 pandemic is further escalating the situation worldwide. One of the most critical questions is how to adequately quantify what constitutes overcrowding and determine implications for operations management in improving service efficiency. This paper aims to discuss the aforementioned.Design/methodology/approachThe authors propose the time and class complexity measures for ED service systems, taking into account important patient-level and system characteristics. Using an extensive data set from a Canadian ED, the authors investigate the performance of complexity-based measures in predicting service delays.FindingsThe authors find that the complexity measure is potentially more important than some well-known crowding metrics. In particular, EDs can improve service efficiency by managing the level of complexity within a desirable interval. Furthermore, complexity exposes how the interplay between demand-side behavioral changes and supply-side responses affects operational performance. Moreover, the results suggest that arrival patterns—the number of patients of each class arriving per time and times between events (arrivals and service completions)—increase the risk of service delays more than the demand volume.Originality/valueThis paper is the first to provide an extensive investigation into the application of the complexity-based measure for ED crowding. The study demonstrates potential values to be gained in ED service systems if complexity measure is incorporated into their operations management decisions.

Emergency Department Volume, Severity, and Crowding Since the Onset of the Coronavirus Disease 2019 Pandemic

We describe emergency department (ED) visit volume, illness severity, and crowding metrics from the onset of the coronavirus disease 2019 (COVID-19) pandemic through mid-2022. We tabulated monthly data from 14 million ED visits on ED volumes and measures of illness severity and crowding from March 2020 through August 2022 compared with the same months in 2019 in 111 EDs staffed by a national ED practice group in 18 states. Average monthly ED volumes fell in the early pandemic, partially recovered in 2022, but remained below 2019 levels (915 per ED in 2019 to 826.6 in 2022 for admitted patients; 3,026.9 to 2,478.5 for discharged patients). The proportion of visits assessed as critical care increased from 7.9% in 2019 to 11.0% in 2022, whereas the number of visits decreased (318,802 to 264,350). Visits billed as 99285 (the highest-acuity Evaluation and Management code for noncritical care visits) increased from 35.4% of visits in 2019 to 40.0% in 2022, whereas the number of visits decreased (1,434,454 to 952,422). Median and median of 90th percentile length of stay for admitted patients rose 32% (5.2 to 6.9 hours) and 47% (11.7 to 17.4 hours) in 2022 versus 2019. Patients leaving without treatment rose 86% (2.9% to 5.4%). For admitted psychiatric patients, the 90th percentile length of stay increased from 20 hours to more than 1 day. ED visit volumes fell early in the pandemic and have only partly recovered. Despite lower volumes, ED crowding has increased. This issue is magnified in psychiatric patients.

Emergency department crowding increases 10-day mortality for non-critical patients: a retrospective observational study

The current evidence suggests that higher levels of crowding in the Emergency Department (ED) have a negative impact on patient outcomes, including mortality. However, only limited data are available about the association between crowding and mortality, especially for patients discharged from the ED. The primary objective of this study was to establish the association between ED crowding and overall 10-day mortality for non-critical patients. The secondary objective was to perform a subgroup analysis of mortality risk separately for both admitted and discharged patients. An observational single-centre retrospective study was conducted in the Tampere University Hospital ED from January 2018 to February 2020. The ED Occupancy Ratio (EDOR) was used to describe the level of crowding and it was calculated both at patient’s arrival and at the maximum point during the stay in the ED. Age, gender, Emergency Medical Service transport, triage acuity, and shift were considered as confounding factors in the analyses. A total of 103,196 ED visits were included. The overall 10-day mortality rate was 1.0% (n = 1022). After controlling for confounding factors, the highest quartile of crowding was identified as an independent risk factor for 10-day mortality. The results were essentially similar whether using the EDOR at arrival (OR 1.31, 95% CI 1.07–1.61, p = 0.009) or the maximum EDOR (OR 1.27, 95% CI 1.04–1.56, p = 0.020). A more precise, mortality-associated threshold of crowding was identified at EDOR 0.9. The subgroup analysis did not yield any statistically significant findings. The risk for 10-day mortality increased among non-critical ED patients treated during the highest EDOR quartile.

Flow through the Emergency Department for Patients Presenting with Substance Use Disorder in Alberta, Canada.

Since 2016 the province of Alberta, Canada, has seen a significant increase in substance use disorder (SUD) presentations to the emergency department (ED) with a large surge during the COVID-19 pandemic. In this retrospective study we deconstruct the total length of stay (LOS) in the ED into stages for patients presenting with SUD and estimate the effects of covariates on the time to transition between stages. Using the Canadian Coding Standards for International Classification of Diseases, 10th Modification, codes F10.0-F19.9 and T36.0-T50.9, we extracted data from the National Ambulatory Care Reporting System between April 1, 2019-March 31, 2020 on all ED presentations for SUD by Alberta residents. We used a multistate model to deconstruct the EDLOS into eight mutually exclusive states and determine which factors affected the time spent in each state. We analyzed 66,880 presentations (37,530 patients). The mean age was 37.2 years, and 61% were male. The median total LOS in the ED was 6 hours 13 minutes. Patients presenting with methamphetamines (METH) intoxication and patients from low-income neighborhoods had significantly increased transition times between all states. Opposite this, opiate use was associated with faster transition times between almost all states. Metro EDs experienced slower transitions when attempting to discharge or admit patients when compared to urban or rural EDs. Emergency department crowding also had a dramatic effect on physician initial assessment times, while discharge and admission times in patients presenting with SUD were also significantly affected. Patients with SUD experience a variety of delays during their ED stay. Those with METH intoxication and those from the lowest income neighborhoods were most likely to experience slower transitions from state to state in the ED and may benefit from a focused approach to improve ED flow.