The association of duration of boarding in the emergency room and the outcome of patients admitted to the intensive care unit

Adverse Events in Patients Transitioning From the Emergency Department to the Inpatient Setting

OBJECTIVES

The objective of this study was to determine the incidence and types of adverse events (AEs), including preventable and ameliorable AEs, in patients transitioning from the emergency department (ED) to the inpatient setting. A second objective was to examine the risk factors for patients with AEs.

METHODS

This was a prospective cohort study of patients at risk for AEs in 2 urban academic hospitals from August 2020 to January 2022. Eighty-one eligible patients who were being admitted to any internal medicine or hospitalist service were recruited from the ED of these hospitals by a trained nurse. The nurse conducted a structured interview during admission and referred possible AEs for adjudication. Two blinded trained physicians using a previously established methodology adjudicated AEs.

RESULTS

Over 22% of 81 patients experienced AEs from the ED to the inpatient setting. The most common AEs were adverse drug events (42%), followed by management (38%), and diagnostic errors (21%). Of these AEs, 75% were considered preventable. Patients who stayed in the ED longer were more likely to experience an AE (adjusted odds ratio = 1.99, 95% confidence interval = 1.19-3.32, P = 0.01).

CONCLUSIONS

AEs were common for patients transitioning from the ED to the inpatient setting. Further research is needed to understand the underlying causes of AEs that occur when patients transition from the ED to the inpatient setting. Understanding the contribution of factors such as length of stay in the ED will significantly help efforts to develop targeted interventions to improve this crucial transition of care.

Price for waiting: the adverse outcomes of boarding critically ill elderly medical patients in the emergency department

PURPOSE

Boarding, the period in which a patient spends in the emergency department (ED) before admission, may be hazardous to critically ill patients, particularly the elderly. This study investigated the associations of boarding with hospital course, prognosis, and medical expenditure in older patients.

METHODS

From January 2019 to December 2021, the medical records of older patients (age ≥ 65) visiting the ED of a tertiary referral hospital who were admitted to the medical intensive care unit (ICU) were retrospectively reviewed. Eligible patients were categorized into two groups according to boarding time with a cutoff set at 6 h. Primary outcomes were in-hospital mortality, ICU/hospital length of stay, and total/average hospitalization cost. Subgroup analyses considered age and disease type.

RESULTS

Among 1318 ICU admissions from the ED, 36% were subjected to boarding for over 6 h. Prolonged boarding had a longer ICU (8.9 ± 8.8 vs. 11.2 ± 12.2 days, P < .001) and hospital (17.8 ± 20.1 vs. 22.8 ± 23.0 days, P < .001) stay, higher treatment cost (10.4 ± 13.9 vs. 13.2 ± 16.5 thousands of USD, P = .001), and hospital mortality (19% vs. 25% P = .020). Multivariate regression analysis showed a longer ICU stay in patients aged 65-79 (8.3 ± 8.4 vs. 11.8 ± 14.2 days, P < .001) and cardiology patients (6.9 ± 8.4 vs. 8.8 ± 9.7 days, P = .001). Besides, the treatment cost was also higher for both groups (10.4 ± 14.6 vs. 13.7 ± 17.7 thousands of USD, P = .004 and 8.4 ± 14.0 vs. 11.7 ± 16.6 thousands of USD, P < .001, respectively).

CONCLUSION

Extended ED boarding for critically ill medical patients over 65 years old was associated with negative outcomes, including longer ICU/hospital stays, higher treatment costs, and hospital mortality.

Emergency critical care: closing the gap between onset of critical illness and intensive care unit admission

Critical illness is an exquisitely time-sensitive condition and follows a disease continuum, which always starts before admission to the intensive care unit (ICU), in the majority of cases even before hospital admission. Reflecting the common practice in many healthcare systems that critical care is mainly provided in the confined areas of an ICU, any delay in ICU admission of critically ill patients is associated with increased morbidity and mortality. However, if appropriate critical care interventions are provided before ICU admission, this association is not observed. Emergency critical care refers to critical care provided outside of the ICU. It encompasses the delivery of critical care interventions to and monitoring of patients at the place and time closest to the onset of critical illness as well as during transfer to the ICU. Thus, emergency critical care covers the most time-sensitive phase of critical illness and constitutes one missing link in the chain of survival of the critically ill patient. Emergency critical care is delivered whenever and wherever critical illness occurs such as in the pre-hospital setting, before and during inter-hospital transfers of critically ill patients, in the emergency department, in the operating theatres, and on hospital wards. By closing the management gap between onset of critical illness and ICU admission, emergency critical care improves patient safety and can avoid early deaths, reverse mild-to-moderate critical illness, avoid ICU admission, attenuate the severity of organ dysfunction, shorten ICU length of stay, and reduce short- and long-term mortality of critically ill patients. Future research is needed to identify effective models to implement emergency critical care systems in different healthcare systems.

Geriatric Population Triage: The Risk of Real-Life Over- and Under-Triage in an Overcrowded ED: 4- and 5-Level Triage Systems Compared: The CREONTE (Crowding and R E Organization National TriagE) Study

Elderly patients, when they present to the emergency department (ED) or are admitted to the hospital, are at higher risk of adverse outcomes such as higher mortality and longer hospital stays. This is mainly due to their age and their increased fragility. In order to minimize this already increased risk, adequate triage is of foremost importance for fragile geriatric (>75 years old) patients who present to the ED. The admissions of elderly patients from 1 January 2014 to 31 December 2020 were examined, taking into consideration the presence of two different triage systems, a 4-level (4LT) and a 5-level (5LT) triage system. This study analyzes the difference in wait times and under- (UT) and over-triage (OT) in geriatric and general populations with two different triage models. Another outcome of this study was the analysis of the impact of crowding and its variables on the triage system during the COVID-19 pandemic. A total of 423,257 ED presentations were included. An increase in admissions of geriatric, more fragile, and seriously ill individuals was observed, and a progressive increase in crowding was simultaneously detected. Geriatric patients, when presenting to the emergency department, are subject to the problems of UT and OT in both a 4LT system and a 5LT system. Several indicators and variables of crowding increased, with a net increase in throughput and output factors, notably the length of stay (LOS), exit block, boarding, and processing times. This in turn led to an increase in wait times and an increase in UT in the geriatric population. It has indeed been shown that an increase in crowding results in an increased risk of UT, and this is especially true for 4LT compared to 5LT systems. When observing the pandemic period, an increase in admissions of older and more serious patients was observed. However, in the pandemic period, a general reduction in waiting times was observed, as well as an increase in crowding indices and intrahospital mortality. This study demonstrates how introducing a 5LT system enables better flow and patient care in an ED. Avoiding UT of geriatric patients, however, remains a challenge in EDs.

Outcomes of critically ill COVID-19 patients boarding in the emergency department of a tertiary care center in a developing country: a retrospective cohort study

BACKGROUND

Boarding of critically ill patients in the emergency department (ED) has long been known to compromise patient care and affect outcomes. During the COVID-19 pandemic, multiple hospitals worldwide experienced overcrowded emergency rooms. Large influx of patients outnumbered hospital beds and required prolonged length of stay (LOS) in the ED. Our aim was to assess the ED LOS effect on mortality and morbidity, in addition to the predictors of in-hospital mortality, intubation, and complications of critically ill COVID-19 ED boarder patients.

METHODS

This was a retrospective cohort study, investigating 145 COVID-19-positive adult patients who were critically ill, required intensive care unit (ICU), and boarded in the ED of a tertiary care center in Lebanon. Data on patients who boarded in the emergency from January 1, 2020, till January 31, 2021, was gathered and studied.

RESULTS

Overall, 66% of patients died, 60% required intubation, and 88% developed complications. Multiple risk factors were associated with mortality naming age above 65 years, vasopressor use, severe COVID pneumonia findings on CT chest, chemotherapy treatment in the previous year, cardiovascular diseases, chronic kidney diseases, prolonged ED LOS, and low SaO2 < 95% on triage. In addition, our study showed that staying long hours in the ED increased the risk of developing complications.

CONCLUSION

To conclude, all efforts need to be drawn to re-establish mitigation strategies and models of critical care delivery in the ED to alleviate the burden of critical boarders during pandemics, thus decreasing morbidity and mortality rates. Lessons from this pandemic should raise concern for complications seen in ED ICU boarders and allow the promotion of health measures optimizing resource allocation in future pandemic crises.

Association Between the Emergency Department Length of Stay and in-Hospital Mortality: A Retrospective Cohort Study

Purpose

The number of emergency department (ED) visits and prolonged ED length of stay (LOS) are increasing worldwide. Prolonged ED LOS may be associated with a higher risk of in-hospital mortality. Here, we analysed the association between of ED LOS and the risk of in-hospital mortality in a hospital in Jakarta, Indonesia.

Patients and methods

This was a single-centre retrospective cohort study performed in a referral academic hospital in Jakarta, Indonesia. Data on ED visits in 2019 were obtained from the electronic medical records. ED patient was used as the unit of the analysis. The dependent variable was all-cause in-hospital mortality during one's visit. The main independent variable was ED LOS with respect to approval (<8 h) and prolonged (≥8 h). Potential confounders were sex, age, triage categories, trauma-related case, malignancy-related case, labour-related case, and referral patients from other healthcare facilities. Multivariate logistic regression analysis was performed to evaluate the association of ED LOS and in-hospital mortality after adjusting for other confounders.

Results

There were 18,553 participants included in the analysis. The in-hospital mortality was 13.5% among all participants, and 63.5% participants had an ED LOS ≥8 h. Multivariate analysis showed that a prolonged ED LOS was associated with an increased risk of in-hospital mortality (adjusted relative risk, 2.69; 95% confidence interval, 2.40-3.03; P<0.001).

Conclusion

Prolonged ED LOS was associated with risk an increased of in-hospital mortality after adjusting for several confounders. In future, hospital service plans should aim to reduce ED LOS and increase patient flow from the ED to in-patient wards.

Sepsis mortality and ICU length of stay after the implementation of an intensive care team in the emergency department

Emergency department patient boarding is associated with hospital mortality and increased hospital length of stay. The objective of the present study is to describe the impact of deploying an Intensive Care team in the ED and its association with sepsis mortality and ICU length of stay. Patients admitted to ICU through the ED with an ICD-10 CM diagnosis of sepsis were included. Preintervention and postintervention phases included 4 and 15 months, respectively. Sepsis time zero, SEP-1 compliance, and lag time from time zero to antibiotic administration were compared. Outcomes of interest were mortality and ICU LOS. 1021 septic patients were included. Sixty-six percent fulfilled compliance with 3 h SEP-1 bundle. Lag time from time zero to antibiotic administration was 75 min. Multivariate analysis showed no association between ICU team in the ED and hospital mortality (Log OR 0.94, CI 0.67-1.34; p = 0.73). The ICU team in the ED was associated with prolonged ICU LOS (Log OR 1.21, CI 1.13-1.30; p < 0.01). Septic shock and ED boarding time were associated with prolonged ICU LOS. Compliance with SEP-1 bundle was associated with its reduction. Implementation of an ICU team in the ED for the treatment of septic patients during high volume hospitalizations is not associated with a reduction of mortality or ICU LOS.

Frequency and Trends of Pre-Pandemic Surge Periods in U.S. Emergency Departments, 2006-2019

OBJECTIVES

To quantify the frequency, outside of the pandemic setting, with which individual healthcare facilities faced surge periods due to severe increases in demand for emergency department (ED) care.

DESIGN

Retrospective cohort study.

SETTING

U.S. EDs.

PATIENTS

All ED encounters in the all-payer, nationally representative Nationwide Emergency Department Sample from the Healthcare Cost and Utilization Project, 2006-2019.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Frequency of surge periods defined as ED months in which an individual facility ED saw a greater than 50% increase in ED visits per month above facility-/calendar month-specific medians. During 2006-2019, 3,317 U.S. EDs reported 354,534,229 ED visits across 142,035 ED months. Fifty-seven thousand four hundred ninety-five ED months (40.5%) during the study period had a 0% to 50% increase in ED visits that month above facility-specific medians and 1,952 ED months (1.4%) qualified as surge periods and had a greater than 50% increase in ED visits that month above facility-specific medians. These surge months were experienced by 397 unique facility EDs (12.0%). Compared with 2006, the most proximal pre-pandemic period of 2016-2019 had a notably elevated likelihood of ED-month surge periods (odds ratios [ORs], 2.36-2.84; all p < 0.0005). Compared with the calendar month of January, the winter ED months in December through March have similar likelihood of an ED-month qualifying as a surge period (ORs, 0.84-1.03; all p > 0.05), while the nonwinter ED months in April through November have a lower likelihood of an ED-month qualifying as a surge period (ORs, 0.65-0.81; all p < 0.05).

CONCLUSIONS

Understanding the frequency of surges in demand for ED care-which appear to have increased in frequency even before the COVID-19 pandemic and are concentrated in winter months-is necessary to better understand the burden of potential and realized acute surge events and to inform cost-effectiveness preparedness strategies.

Intensive care unit admission from the emergency department in the setting of National Emergency Access Targets

Purpose

Since the introduction of National Emergency Access Targets (NEATs) in 2012 there has been little research examining patients admitted to the intensive care unit (ICU).We assessed differences in baseline characteristics and outcomes of patients admitted from the Emergency Department (ED) to the ICU within 4 hours compared with patients who were not.

Methods

This retrospective observational study included all adults (≥18 years old) admitted to the ICU from the ED of Austin Hospital, Melbourne, Australia, between 1 January 2017 and 31st December 2019 inclusive.

Results

1544 patients were admitted from the ED to the ICU and 65% had an ED length of stay (EDLOS) > 4 hour. Such patients were more likely to be older, female, with less urgent triage category scores and lower illness severity. Sepsis and respiratory admission diagnoses, and winter presentations were significantly more prevalent in this group.After adjustment for confounders, patients with an EDLOS > 4 hours had lower hospital mortality; 8% v 21% (p = 0.029; OR, 1.62), shorter ICU length of stay 2.2 v 2.4 days (p = 0.043), but a longer hospital length of stay 6.2 v 6.8 days (p = < 0.001).

Conclusion

Almost two thirds of patients breached the NEAT of 4 hours. These patients were more likely to be older, female, admitted in winter with sepsis and respiratory diagnoses, and have lower illness severity and less urgent triage categories. NEAT breach was associated with reduced hospital mortality but an increased hospital length of stay.

Five Level Triage vs. Four Level Triage in a Quaternary Emergency Department: National Analysis on Waiting Time, Validity, and Crowding-The CREONTE (Crowding and RE-Organization National TriagE) Study Group

Background and Objectives: Triage systems help provide the right care at the right time for patients presenting to emergency departments (EDs). Triage systems are generally used to subdivide patients into three to five categories according to the system used, and their performance must be carefully monitored to ensure the best care for patients. Materials and Methods: We examined ED accesses in the context of 4-level (4LT) and 5-level triage systems (5LT), implemented from 1 January 2014 to 31 December 2020. This study assessed the effects of a 5LT on wait times and under-triage (UT) and over-triage (OT). We also examined how 5LT and 4LT systems reflected actual patient acuity by correlating triage codes with severity codes at discharge. Other outcomes included the impact of crowding indices and 5LT system function during the COVID-19 pandemic in the study populations. Results: We evaluated 423,257 ED presentations. Visits to the ED by more fragile and seriously ill individuals increased, with a progressive increase in crowding. The length of stay (LOS), exit block, boarding, and processing times increased, reflecting a net raise in throughput and output factors, with a consequent lengthening of wait times. The decreased UT trend was observed after implementing the 5LT system. Conversely, a slight rise in OT was reported, although this did not affect the medium-high-intensity care area. Conclusions: Introducing a 5LT improved ED performance and patient care.

A roadmap for developing an emergency department based critical care consultation service: Building the early intervention team (EIT)

Emergency Department (ED) crowding and boarding impact safe and effective health care delivery. ED clinicians must balance caring for new arrivals who require stabilization and resuscitation as well as those who need longitudinal care and re-evaluation. These challenges are magnified in the setting of critically ill patients boarding for the intensive care unit. Boarding is a complex issue that has multiple solutions based on resources at individual institutions. Several different models have been described for delivery of critical care in the ED. Here, we describe the development of an ED based critical care consultation service, the early intervention team, at an urban academic ED.

Sepsis in Brazilian emergency departments: a prospective multicenter observational study

We aimed to assess the prevalence, patient allocation adequacy, and mortality of adults with sepsis in Brazilian emergency departments (ED) in a point-prevalence 3-day investigation of patients with sepsis who presented to the ED and those who remained there due to inadequate allocation. Allocation was considered adequate if the patient was transferred to the intensive care unit (ICU), ward, or remained in the ED without ICU admission requests. Prevalence was estimated using the total ED visit number. Prognostic factors were assessed with logistic regression. Of 33,902 ED visits in 74 institutions, 183 were acute admissions (prevalence: 5.4 sepsis per 1000 visits [95% confidence interval (CI): 4.6-6.2)], and 148 were already in the ED; totaling 331 patients. Hospital mortality was 32% (103/322, 95% CI 23.0-51.0). Age (odds ratio (OR) 1.22 [95% CI 1.10-1.37]), Sequential Organ Failure Assessment (SOFA) score (OR 1.41 [95% CI 1.28-1.57]), healthcare-associated infections (OR 2.59 [95% CI 1.24-5.50]) and low-resource institution admission (OR 2.65 [95% CI 1.07-6.90]) were associated with higher mortality. Accredited institutions (OR 0.42 [95% CI 0.21-0.86]) had lower mortality rates. Allocation within 24 h was adequate in only 52.8% of patients (public hospitals: 42.4% (81/190) vs. private institutions: 67.4% (89/132, p < 0.001) with 39.2% (74/189) of public hospital patients remaining in the ED until discharge, of whom 55.4% (41/74) died. Sepsis exerts high burden and mortality in Brazilian EDs with frequent inadequate allocation. Modifiable factors, such as resources and quality of care, are associated with reduced mortality.

Analyzing the queuing theory at the emergency department at King Hussein cancer center

OBJECTIVES

This study was conducted in 2022 at King Hussein Cancer Center (KHCC) to analyze the queuing theory approach at the Emergency Department (ED) to estimate patients' wait times and predict the accuracy of the queuing theory approach.

METHODS

According to the statistics, the peak months were July and August, with peak hours from 10 a.m. until 6 p.m. The study sample was a week in July 2022, during the peak days and hours. This study measured patients' wait times at these three stations: the health informatics desk, triage room, and emergency bed area.

RESULTS

The average number of patients in line at the health informatics desk was not more than 3, and the waiting time was between 1 and 4 min. Since patients were receiving the service immediately in the triage room, there was no waiting time or line because the nurse's role ended after taking the vital signs and rating the patient's disease acuity. Using equations of queuing theory and other relativistic equations in the emergency bed area gave different results. The queuing theory approach showed that the average residence time in the system was between 4 and 10 min.

CONCLUSIONS

Conversely, relativistic equations (ratios of served patients and departed patients and other related variables) demonstrated that the average residence time was between 21 and 36 min.

Implementation of a medical intensive care team in the emergency department of a tertiary medical center in the USA

OBJECTIVE

Critically ill patients boarding in the ED have higher mortality rates. Several strategies have been implemented to deliver care to boarding patients. Our institution opted for a strategy consisting on deploying an Intensive Care team in the ED. This article reports outcomes before-and-after implementation of that team.

METHODS

On November 2020, a Medical Intensive Care Team was deployed in the ED. The team performed consultations for ICU patients boarding in the ED. A retrospective analysis of critically ill patients arriving to the ED before-and-after team implementation was performed. Outcome data were reviewed. Direct hospitalization costs per patient, and direct costs per department were assessed. Wilcoxon rank sum and Chisq-test were utilized to compare differences pre- and post-implementation. Multivariate analyses to model outcomes toward pre- and post-implementation and other variables were performed.

RESULTS

1,828 and 3,272 patients were included in the pre- and post-intervention groups. ICU LOS (days) pre- and post-intervention were 3 (1,6) and 3 (1,6), respectively (p = 0.41). ICU readmission rates were 6.7% pre-intervention and 7.4% post-intervention (p = 0.37). Total direct costs were US$ 19,928 (11,006, 37,815) and US$ 15,795 (9016, 28,993), respectively (p < 0.01). Multivariate analysis showed no association between team deployment and ICU LOS or readmission. However, there was association between its implementation and hospitalization cost reduction per patient of US$ 7,171.

CONCLUSION

The implementation of a Medical Intensive Care team in the ED is not associated with a reduction of ICU LOS or ICU readmission. Nevertheless, its implementation is associated with a reduction of hospitalization costs.

Patient and hospital characteristics predict prolonged emergency department length of stay and in-hospital mortality: a nationwide analysis in Korea

BACKGROUND

Prolonged emergency department length of stay (EDLOS) in critically ill patients leads to increased mortality. This nationwide study investigated patient and hospital characteristics associated with prolonged EDLOS and in-hospital mortality in adult patients admitted from the emergency department (ED) to the intensive care unit (ICU).

METHODS

We conducted a retrospective cohort study using data from the National Emergency Department Information System. Prolonged EDLOS was defined as an EDLOS of ≥ 6 h. We constructed multivariate logistic regression models of patient and hospital variables as predictors of prolonged EDLOS and in-hospital mortality.

RESULTS

Between 2016 and 2019, 657,622 adult patients were admitted to the ICU from the ED, representing 2.4% of all ED presentations. The median EDLOS of the overall study population was 3.3 h (interquartile range, 1.9-6.1 h) and 25.3% of patients had a prolonged EDLOS. Patient characteristics associated with prolonged EDLOS included night-time ED presentation and Charlson comorbidity index (CCI) score of 1 or higher. Hospital characteristics associated with prolonged EDLOS included a greater number of staffed beds and a higher ED level. Prolonged EDLOS was associated with in-hospital mortality after adjustment for selected confounders (adjusted odds ratio: 1.18, 95% confidence interval: 1.16-1.20). Patient characteristics associated with in-hospital mortality included age ≥ 65 years, transferred-in, artificially ventilated in the ED, assignment of initial triage to more urgency, and CCI score of 1 or higher. Hospital characteristics associated with in-hospital mortality included a lesser number of staffed beds and a lower ED level.

CONCLUSIONS

In this nationwide study, 25.3% of adult patients admitted to the ICU from the ED had a prolonged EDLOS, which in turn was significantly associated with an increased in-hospital mortality risk. Hospital characteristics, including the number of staffed beds and the ED level, were associated with prolonged EDLOS and in-hospital mortality.

Emergency Department Boarding of Mechanically Ventilated Patients

Background and objective The boarding of critically ill patients in the emergency department (ED) has been on the rise over the past few years. Emergency physicians now frequently encounter critically ill patients who require rapid resuscitation and stabilization and they provide extended care in the ED. This study aimed to evaluate the association between the boarding duration of mechanically ventilated patients in the ED and outcomes in such patients. Methods This was a retrospective study conducted during the period 2018-2019 at an academic institution; it included adult patients who were mechanically ventilated, requiring and awaiting admission to the ICU from the ED. Results We included a total of 388 out of 537 patients in the analysis. Patients were stratified into three groups as follows: 93 (24%) were admitted to the ICU within six hours; 126 (32.5%) were admitted to the ICU within 6-24 hours; and 169 (43.6%) were admitted to the ICU after 24 hours. Patients admitted to the ICU within six hours were significantly younger; the mean age of the patients was 55 ± 16.30 years in group 1, 61.96 ± 17.73 years in group 2, and 62.65 ± 16.62 years in group 3 (p=0.001). The ICU mortality in group 1 was lower than in other groups, and mortality increased with increasing boarding time [28 (30.1%), 51 (40.5%), 79 (46.7%), respectively, p=0.032]. Boarding time in the ED was associated with an increased risk of ICU mortality in group 3 compared with group 1 (0.1664 ± 0.063, p=0.009). The logistic regression analysis showed higher mortality rates in groups 2 [adjusted odds ratio: 3.29; 95% confidence interval (CI): 1.95-5.55, p<0.01] and 3 (adjusted odds ratio: 1.98; 95% CI: 1.17-3.35, p=0.01). Conclusion Based on our findings from this small-sample, single-center study, ED boarding of mechanically ventilated patients is associated with higher ICU mortality rates.

Prioritization of ICU beds with renal replacement therapy support by court order and mortality in a Brazilian metropolitan area

The shortage of intensive care unit (ICU) resources, including equipment and supplies for renal replacement therapy (RRT), is a critical problem in several countries. This study aimed to assess hospital mortality and associated factors in patients treated in public hospitals of the Federal District, Brazil, who requested admission to ICU with renal replacement therapy support (ICU-RRT) in court. Retrospective cohort study that included 883 adult patients treated in public hospitals of the Federal District who requested ICU-RRT admission in court from January 2017 to December 2018. ICU-RRT was denied to 407 patients, which increased mortality (OR 3.33, 95% CI 2.39–4.56, p ≪ 0.01), especially in patients with priority level I/II (OR 1.02, 95% CI 1.01–1.04, p ≪ 0.01). Of the requests made in court, 450 were filed by patients with priority levels III/IV, and 44.7% of these were admitted to ICU-RRT. In admitted patients, priority level III priority level I/II was associated with a low mortality (OR 0.47, 95% CI 0.32–0.69, p < 0.01), and not. The admission of patients classified as priority levels III/IV to ICU-RRT considerably jeopardized the admission of patients with priority levels I/II to these settings. The results found open new avenues for organizing public policies and improving ICU-RRT triage.

Association of ICU Admission and Outcomes in Sepsis and Acute Respiratory Failure

Rationale: Many decisions to admit patients to the ICU are not grounded in evidence regarding who benefits from such triage, straining ICU capacity and limiting its cost-effectiveness. Objectives: To measure the benefits of ICU admission for patients with sepsis or acute respiratory failure. Methods: At 27 United States hospitals across two health systems from 2013 to 2018, we performed a retrospective cohort study using two-stage instrumental variable quantile regression with a strong instrument (hospital capacity strain) governing ICU versus ward admission among high-acuity patients (i.e., laboratory-based acute physiology score v2 ⩾ 100) with sepsis and/or acute respiratory failure who did not require mechanical ventilation or vasopressors in the emergency department. Measurements and Main Results: Among patients with sepsis (n = 90,150), admission to the ICU was associated with a 1.32-day longer hospital length of stay (95% confidence interval [CI], 1.01-1.63; P < 0.001) (when treating deaths as equivalent to long lengths of stay) and higher in-hospital mortality (odds ratio, 1.48; 95% CI, 1.13-1.88; P = 0.004). Among patients with respiratory failure (n = 45,339), admission to the ICU was associated with a 0.82-day shorter hospital length of stay (95% CI, -1.17 to -0.46; P < 0.001) and reduced in-hospital mortality (odds ratio, 0.75; 95% CI, 0.57-0.96; P = 0.04). In sensitivity analyses of length of stay, excluding, ignoring, or censoring death, results were similar in sepsis but not in respiratory failure. In subgroup analyses, harms of ICU admission for patients with sepsis were concentrated among older patients and those with fewer comorbidities, and the benefits of ICU admission for patients with respiratory failure were concentrated among older patients, highest-acuity patients, and those with more comorbidities. Conclusions: Among high-acuity patients with sepsis who did not require life support in the emergency department, initial admission to the ward, compared with the ICU, was associated with shorter length of stay and improved survival, whereas among patients with acute respiratory failure, triage to the ICU compared with the ward was associated with improved survival.

How the coronavirus disease 2019 pandemic changed the patterns of healthcare utilization by geriatric patients and the crowding: a call to action for effective solutions to the access block

The geriatric population constitutes a large slice of the population of Western countries and a class of fragile patients, with greater deaths due to COVID-19. The patterns of healthcare utilization change during pandemic disease outbreaks. Identifying the patterns of changes of this particular fragile subpopulation is important for future preparedness and response. Overcrowding in the emergency department (ED) can occur because of the volume of patients waiting to be seen, delays in patient assessment or treatment in the ED, or impediments to leaving the ED once the treatment has been completed. Overcrowding has become a serious and growing issue globally, which represents a serious impediment to healthcare utilization. To estimate the rate of ED visits attributable to the outbreak and guide the planning of strategies for managing ED access or after the outbreak of transmittable respiratory diseases. This observational study was based on a retrospective review of the epidemiological and clinical records of patients aged > 75 years who visited the Foundation IRCCS Policlinic San Matteo during the first wave of COVID-19 outbreak (February 21 to May 1, 2020; pandemic group). The analysis methods included estimation of the changes in the epidemiological and clinical data from the annual baseline data after the start of the COVID-19 pandemic. Outcome measures and analysis: Primary objective is the evaluation of ED admission rate change and ED overcrowding. Secondary objectives are the evaluation of modes of ED access by reason and triage code, access types, clinical outcomes (such as admission and mortality rates). During the pandemic, ED crowding increased dramatically, although the overall number of patients decreased, in the face of a percentage increase in those with high-acuity conditions, because of changes in patient management that have prolonged length of stay (LOS) and increased rates of access block. Overcrowding during the COVID-19 pandemic can be attributed to the Access Block. Access Block solutions are hence required to prevent a recurrence of crowding to any new viral wave or new epidemic in the future.

Delayed Admission to the Intensive Care Unit and Mortality of Critically Ill Adults: Systematic Review and Meta-analysis

Delayed admission of patients to the intensive care unit (ICU) is increasing worldwide and can be followed by adverse outcomes when critical care treatment is not provided timely. This systematic review and meta-analysis appraised and synthesized the published literature about the association between delayed ICU admission and mortality of adult patients. Articles published from inception up to August 2021 in English-language, peer-reviewed journals indexed in CINAHL, PubMed, Scopus, Cochrane Library, and Web of Science were searched by using key terms. Delayed ICU admission constituted the intervention, while mortality for any predefined time period was the outcome. Risk for bias was evaluated with the Newcastle-Ottawa Scale and additional criteria. Study findings were synthesized qualitatively, while the odds ratios (ORs) for mortality with 95% confidence intervals (CIs) were combined quantitatively. Thirty-four observational studies met inclusion criteria. Risk for bias was low in most studies. Unadjusted mortality was reported in 33 studies and was significantly higher in the delayed ICU admission group in 23 studies. Adjusted mortality was reported in 18 studies, and delayed ICU admission was independently associated with significantly higher mortality in 13 studies. Overall, pooled OR for mortality in case of delayed ICU admission was 1.61 (95% CI 1.44-1.81). Interstudy heterogeneity was high (I² = 66.96%). According to subgroup analysis, OR for mortality was remarkably higher in postoperative patients (OR, 2.44, 95% CI 1.49-4.01). These findings indicate that delayed ICU admission is significantly associated with mortality of critically ill adults and highlight the importance of providing timely critical care in non-ICU settings.

Selection bias in estimating the relationship between prolonged ED boarding and mortality in emergency critical care patients

OBJECTIVES

Studies have found that prolonged boarding time for intensive care unit (ICU) patients in the emergency department (ED) is associated with higher in-hospital mortality. However, these studies introduced selection bias by excluding patients with ICU admission orders who were downgraded and never arrived in the ICU. Consequently, they may overestimate mortality in prolonged ED boarders.

METHODS

This was a retrospective cohort study at a single center covering the period from August 14, 2015 to August 13, 2019. Adult ED patients with medical ICU admission orders and at least 6 hours of subsequent critical care in either the ED or the ICU were included. Patients were classified as having either prolonged (>6 hours) or non-prolonged (≤6 hours) ED boarding. Downgraded patients were identified, and mortality was compared, both including and excluding downgraded patients.

RESULTS

Of 1862 patients, 612 (32.9%) had prolonged boarding; at 6 hours after ICU admission order entry, they were still in the ED. The remaining 1250 (67.1%) had non-prolonged boarding; at 6 hours after the ICU admission order entry, they were already in the ICU. In-hospital mortality in the non-prolonged boarding group was 18.9%. In the prolonged boarding group, 296 (48.4%) patients were downgraded in the ED and never arrived in the ICU. Including these ED downgrades, the mortality in the prolonged boarding group was 13.4% (risk difference -5.5%, 95% confidence interval [CI] -8.9% to -2.0%, P = 0.0031). When we excluded downgrades, the mortality in the prolonged boarding group increased to 17.4% (risk difference -1.5%, 95% CI -6.2% to 3.2%, P = 0.5720). The lower mortality in the prolonged group was attributable to lower severity of illness (mean emergency critical care SOFA [eccSOFA] difference: -0.8, 95% CI -1.1 to -0.4, P < 0.0001).

CONCLUSIONS

Excluding critical care patients who were downgraded in the ED leads to selection bias and overestimation of mortality among prolonged ED boarders.

Measures of Emergency Department Crowding, a Systematic Review. How to Make Sense of a Long List

Emergency department (ED) crowding, a common and serious phenomenon in many countries, lacks standardized definition and measurement methods. This systematic review critically analyzes the most commonly studied ED crowding measures. We followed the Preferred Reporting Items for Systematic Review and Meta-analysis (PRISMA) guidelines. We searched PubMed/Medline Database for all studies published in English from January 1st, 1990, until December 1st, 2020. We used the National Institute of Health (NIH) Quality Assessment Tool to grade the included studies. The initial search yielded 2293 titles and abstracts, of whom we thoroughly reviewed 109 studies, then, after adding seven additional, included 90 in the final analysis. We excluded simple surveys, reviews, opinions, case reports, and letters to the editors. We included relevant papers published in English from 1990 to 2020. We did not grade any study as poor and graded 18 as fair and 72 as good. Most studies were conducted in the USA. The most studied crowding measures were the ED occupancy, the ED length of stay, and the ED volume. The most heterogeneous crowding measures were the boarding time and number of boarders. Except for the National ED Overcrowding Scale (NEDOCS) and the Emergency Department Work Index (EDWIN) scores, the studied measures are easy to calculate and communicate. Quality of care was the most studied outcome. The EDWIN and NEDOCS had no studies with the outcome mortality. The ED length of stay had no studies with the outcome perception of care. ED crowding was often associated with worse outcomes: higher mortality in 45% of the studies, worse quality of care in 75%, and a worse perception of care in 100%. The ED occupancy, ED volume, and ED length of stay are easy to measure, calculate and communicate, are homogenous in their definition, and were the most studied measures.

Usability in the admission monitoring system of an emergency room

OBJECTIVE

To develop and evaluate the usability of the admission monitoring system in an emergency room.

METHODS

This applied research intends to develop a software product and evaluate its usability. The development followed four stages: systematic review, structuring of the system framework, construction of system forms, and evaluation of the information generated. In the evaluation, the experts simulated the use of the system by inserting data from a fictitious medical record. We measured usability using the System Usability Scale (SUS). Scores and scores were calculated individually and globally. We propose these evaluation standards: worst case scenario, poor, average, good, excellent, and best-case scenario.

RESULTS

The Sistema de Informação e Monitoramento das Internações em Pronto-Socorro (SIMIPS - Information and Monitoring System for Emergency Room Admissions) monitors the epidemiological profile of admissions to the emergency room, time management, clinical deterioration, incidence of adverse events, and human resource management. The usability of SIMIPS, evaluated by 17 experts, reached the SUS Score 86.5 (best case scenario), and some suggestions for modifications were accepted.

CONCLUSIONS

We consider SIMIPS an easy-to-use tool, with real importance in the management of emergencies in view of overcrowding and congestion problems faced in Brazil.

Intensive Care Unit prioritization: The impact of ICU bed availability on mortality in critically ill patients who requested ICU admission in court in a Brazilian cohort

PURPOSE

To assess hospital mortality in patients who requested ICU admission in court due to the scarcity of ICU beds in the Brazilian public health system and the consequences of these judicial litigations.

MATERIAL AND METHODS

Retrospective cohort study that included adult patients from the public health system of the Federal District, Brazil, who claimed ICU admission in court from January 2017 to December 2019.

RESULTS

Of the 1752 patients, 1031 were admitted to ICU (58.8%). Hospital mortality was 61.1% (1071/1752). Of the requests, 768 (43.8%) were made by patients with priority levels III or IV, resulting in the ICU admission of 33.9% of these patients. Denial of ICU admission (p < 0.001) increased mortality. ICU admission reduced hospital mortality in patients classified as priority level I (p < 0.001), priority level II (p < 0.001), and priority level III (p < 0.001), but not as priority level IV (p = 0.619).

CONCLUSION

A large proportion of patients was denied ICU admission and it was associated with an increased mortality. A considerable portion of the ICU-admitted patients were classified as priority level III and IV, impairing the ICU admission of patients with priority level I which are the ones with the greatest benefit from it.

Impact of Coronavirus Disease 2019 Pandemic on Crowding: A Call to Action for Effective Solutions to “Access Block”

Introduction

Healthcare patterns change during disease outbreaks and pandemics. Identification of modified patterns is important for future preparedness and response. Emergency department (ED) crowding can occur because of the volume of patients waiting to be seen, which results in delays in patient assessment or treatment and impediments to leaving the ED once treatment is complete. Therefore, ED crowding has become a growing problem worldwide and represents a serious barrier to healthcare operations.

Methods

This observational study was based on a retrospective review of the epidemiologic and clinical records of patients who presented to the Foundation IRCCS Policlinic San Matteo in Pavia, Italy, during the coronavirus disease 2019 (COVID-19) outbreak (February 21–May 1, 2020, pandemic group). The methods involved an estimation of the changes in epidemiologic and clinical data from the annual baseline data after the start of the COVID-19 pandemic.

Results

We identified reduced ED visits (180 per day in the control period vs 96 per day in the pandemic period; P < 0.001) during the COVID-19 pandemic, irrespective of age and gender, especially for low-acuity conditions. However, patients who did present to the ED were more likely to be hemodynamically unstable, exhibit abnormal vital signs, and more frequently required high-intensity care and hospitalization. During the pandemic, ED crowding dramatically increased primarily because of an increased number of visits by patients with high-acuity conditions, changes in patient management that prolonged length of stay, and increased rates of boarding, which led to the inability of patients to gain access to appropriate hospital beds within a reasonable amount of time. During the pandemic, all crowding output indices increased, especially the rates of boarding (36% vs 57%; P < 0.001), “access block” (24% vs 47%; P < 0.001), mean boarding time (640 vs 1,150 minutes [min]; P 0.001), mean “access block” time (718 vs 1,223 min; P < 0.001), and “access block” total time (650,379 vs 1,359,172 min; P < 0.001).

Conclusion

Crowding in the ED during the COVID-19 pandemic was due to the inability to access hospital beds. Therefore, solutions to this lack of access are required to prevent a recurrence of crowding due to a new viral wave or epidemic.

Exploring Potential Association Between Emergency Department Crowding Status and Patients' Length of Stay at a University Hospital in Saudi Arabia

Background

Emergency department (ED) crowding has been described as the most serious problem that endangers the reliability of healthcare system worldwide. The aim of this study was to explore the possible relationship of ED crowding status and length of stay in patient received care. In addition, association between LOS and other variables in relation to crowding status has been explored.

Methods

This is a retrospective cohort analysis study done by using dataset abstracted from Quadra Med Information System of patients visited emergency department of a tertiary university hospital at Eastern Province of Saudi Arabia during the period of January 1st, 2018 to December 30th, 2018. ED occupancy rates were used to define crowding status (as crowding and overcrowding), while the percentage of patient who spent in ED more than 6 hours was used to define the length of stay in ED.

Results

There were 53,309 crowded and 57,290 overcrowded presentations in ED. The median length ± interquartile range of the length of stay for low-crowded and high-crowded conditions were 211 ± 606 and 242 ± 659 minutes, respectively. There was a significant association between ED crowding status and length of stay (p < 0.05).

Conclusion

The increased patients' length of stay at ED was associated with crowding status of ED. Therefore, decision-makers at ministry of health should develop and implement measures and interventions to shed light on the causes of crowding, to reduce the crowding at ED, and resolve the problem steamed from such crowding for the purpose of shorten patients' length of stay at ED.

Boarding of Critically Ill Patients in the Emergency Department

Supplemental Digital Content is available in the text.

Objectives:

Emergency department boarding is the practice of caring for admitted patients in the emergency department after hospital admission, and boarding has been a growing problem in the United States. Boarding of the critically ill has achieved specific attention because of its association with poor clinical outcomes. Accordingly, the Society of Critical Care Medicine and the American College of Emergency Physicians convened a Task Force to understand the implications of emergency department boarding of the critically ill. The objective of this article is to review the U.S. literature on (1) the frequency of emergency department boarding among the critically ill, (2) the outcomes associated with critical care patient boarding, and (3) local strategies developed to mitigate the impact of emergency department critical care boarding on patient outcomes.

Data Sources and Study Selection:

Review article.

Data Extraction and Data Synthesis:

Emergency department–based boarding of the critically ill patient is common, but no nationally representative frequency estimates has been reported. Boarding literature is limited by variation in the definitions used for boarding and variation in the facilities studied (boarding ranges from 2% to 88% of ICU admissions). Prolonged boarding in the emergency department has been associated with longer duration of mechanical ventilation, longer ICU and hospital length of stay, and higher mortality. Health systems have developed multiple mitigation strategies to address emergency department boarding of critically ill patients, including emergency department-based interventions, hospital-based interventions, and emergency department–based resuscitation care units.

Conclusions:

Emergency department boarding of critically ill patients was common and was associated with worse clinical outcomes. Health systems have generated a number of strategies to mitigate these effects. A definition for emergency department boarding is proposed. Future work should establish formal criteria for analysis and benchmarking of emergency department–based boarding overall, with subsequent efforts focused on developing and reporting innovative strategies that improve clinical outcomes of critically ill patients boarded in the emergency department.

Use of a Novel Patient-Flow Model to Optimize Hospital Bed Capacity for Medical Patients

BACKGROUND

There is no known method for determining the minimum number of beds in hospital inpatient units (IPs) to achieve patient waiting-time targets. This study aims to determine the relationship between patient waiting time-related performance measures and bed utilization, so as to optimize IP capacity decisions.

METHODS

The researchers simulated a novel queueing model specifically developed for the IPs. The model takes into account salient features of patient-flow dynamics and was validated against hospital census data. The team used the model to evaluate inpatient capacity decisions against multiple waiting time outcomes: (1) daily average, peak-hour average, and daily maximum waiting times; and (2) proportion of patients waiting strictly more than 0, 1, and 2 hours. The results were published in a simple Microsoft Excel toolbox to allow administrators to conduct sensitivity analysis.

RESULTS

To achieve the hospital's goal of rooming patients within 30 to 60 minutes of IP bed requests, the model predicted that the optimal daily average occupancy levels should be 89%-92% (182-188 beds) in the Medicine cohort, 74%-79% (41-43 beds) in the Cardiology cohort, and 72%-78% (23-25 beds) in the Observation cohort. Larger IP cohorts can achieve the same queueing-related performance measure as smaller ones, while tolerating a higher occupancy level. Moreover, patient waiting time increases rapidly as the occupancy level approaches 100%.

CONCLUSION

No universal optimal IP occupancy level exists. Capacity decisions should therefore be made on a cohort-by-cohort basis, incorporating the comprehensive patient-flow characteristics of each cohort. To this end, patient-flow queueing models tailored to the IPs are needed.

The effect of delays in second-dose antibiotics on patients with severe sepsis and septic shock

BACKGROUND

Early antibiotics are fundamental to sepsis management. Second-dose antibiotic delays were associated with increased mortality in a recent study. Study objectives include: 1) determine factors associated with delays in second-dose antibiotic administration; 2) evaluate if delays influence clinical outcomes.

METHODS

ED-treated adults (≥18 years; n = 1075) with severe sepsis or septic shock receiving ≥2 doses of intravenous antibiotics were assessed, retrospectively, for second-dose antibiotic delays (dose time > 25% of recommended interval). Predictors of delay and impact on outcomes were determined, controlling for MEDS score, 30 mL/kg fluids and antibiotics within three hours of sepsis onset, lactate, and renal failure, among others.

RESULTS

In total, 335 (31.2%) patients had delayed second-dose antibiotics. A total of 1864 second-dose antibiotics were included, with 354 (19.0%) delays identified by interval (delayed/total doses): 6-h (36/67) = 53.7%; 8-h (165/544) = 30.3%; 12-h (114/436) = 26.1%; 24-h (21/190) = 8.2%; 48-h (0/16) = 0%. In-hospital mortality in the timely group was 15.5% (shock-17.6%) and 13.7% in the delayed group (shock-16.9%). Increased odds of delay were observed for ED boarding (OR 2.54, 95% 1.81-3.55), shorter dosing intervals (6/8-h- OR 2.99, 95% CI 1.95-4.57; 12-h- OR 2.46, 95% CI 1.72-3.51), receiving 30 mL/kg fluids by three hours (OR 1.42, 95% CI 1.06-1.90), and renal failure (OR 2.57, 95% CI 1.50-4.39). Delays were not associated with increased mortality (OR 0.87, 95% CI 0.58-1.29) or other outcomes.

CONCLUSIONS

Factors associated with delayed second-dose antibiotics include ED boarding, antibiotics requiring more frequent dosing, receiving 30 mL/kg fluid, and renal failure. Delays in second-dose administration were not associated with mortality or other outcomes.

Prognostic significance of emergency department modified early warning score trend in critical ill elderly patients

OBJECTIVE

To explore the relationship between trends in emergency department modified early warning score (EDMEWS) and the prognosis of elderly patients admitted to the intensive care unit (ICU).

METHODS

Consecutive non-traumatic elderly ED patients (≥65 years old) admitted to the ICU between July 2018 and June 2019 were enrolled in this retrospective cohort study. The selected patients had at least 2 separate MEWS during their ED stay. Detailed patient information was retrieved initially from the ICU database of our hospital and then crosschecked with electronic medical recording system to confirm the completeness and correctness of the data. Patients who had do-not-resuscitate order and those with incomplete data of EDMEWS, acute physiology and chronic health evaluation (APACHE) II score, or survival information (7-day and 30-day mortality) were excluded. The trends in EDMEWS were determined using the regression line of multiple MEWS measured during ED stay, in which EDMEWS trend progression was defined as the slope of the regression line > zero. The relationship between EDMEWS trend and prognosis was assessed using univariate and multivariate analyses (multiple logistic regression analysis).

RESULTS

Of the 1423 selected patients, 499 (35.1%) had worsening 24-h APACHE II score, 110 (7.7%) died within 7 days, and 233 (16.4%) died within 30 days. Factors that were significantly associated with worsening 24-h APACHE II score, 7-day mortality, and 30-day mortality in univariate analysis were selected for inclusion into multiple logistic regression analyses. After adjusting for other covariates, EDMEWS trend progression was significantly associated with 24-h APACHE II score progression, 7-day mortality, and 30-day mortality.

CONCLUSIONS

EDMEWS trend progression was significantly associated with 24-h APACHE II score progression, 7-day mortality, and 30-day mortality in elderly ED patients admitted to the ICU. EDMEWS is a simple and useful tool for precisely monitoring patients' ongoing condition and predicting prognosis.

Predictors of Delayed Recognition of Critical Illness in Emergency Department Patients and Its Effect on Morbidity and Mortality

PURPOSE

Timely recognition of critical illness is associated with improved outcomes, but is dependent on accurate triage, which is affected by system factors such as workload and staffing. We sought to first study the effect of delayed recognition on patient outcomes after controlling for system factors and then to identify potential predictors of delayed recognition.

METHODS

We conducted a retrospective cohort study of Emergency Department (ED) patients admitted to the Intensive Care Unit (ICU) directly from the ED or within 48 hours of ED departure. Cohort characteristics were obtained through electronic and standardized chart abstraction. Operational metrics to estimate ED workload and volume using census data were matched to patients' ED stays. Delayed recognition of critical illness was defined as an absence of an ICU consult in the ED or declination of ICU admission by the ICU team. We employed entropy-balanced multivariate models to examine the association between delayed recognition and development of persistent organ dysfunction and/or death by hospitalization day 28 (POD+D), and multivariable regression modeling to identify factors associated with delayed recognition.

RESULTS

Increased POD+D was seen for those with delayed recognition (OR 1.82, 95% CI 1.13-2.92). When the delayed recognition was by the ICU team, the patient was 2.61 times more likely to experience POD+D compared to those for whom an ICU consult was requested and were accepted for admission. Lower initial severity of illness score (OR 0.26, 95% CI 0.12-0.53) was predictive of delayed recognition. The odds for delayed recognition decreased when ED workload is higher (OR 0.45, 95% CI 0.23-0.89) compared to times with lower ED workload.

CONCLUSIONS

Increased POD+D is associated with delayed recognition. Patient and system factors such as severity of illness and ED workload influence the odds of delayed recognition of critical illness and need further exploration.

Length of Stay in the Emergency Department and Its Associated Factors at Jimma Medical Center, Southwest Ethiopia

Background

Prolonged emergency department stays can adversely affect patient outcomes leading to an increased length of hospital admission and higher mortality. Despite this fact, there are few data describing emergency department length of stay and associated factors in Ethiopia.

Objective

To assess length of stay in the emergency department and its associated factors among patients visited adult emergency department of Jimma Medical Center, Jimma town, southwest of Ethiopia.

Methods

Institution-based cross-sectional study was conducted from April 9, 2018 to May 11, 2018. Overall, 422 patients presented during study period were sequentially included in the study. A semi-structured questionnaire was used to collect data through interview, observation and medical record review. The collected data were cleaned, entered to Epi-data 3.1 and exported to SPSS version 21 for binary and multivariable logistic regression analysis. To identify factors associated with outcome variable, candidate variables were fitted to multivariable analysis, and those with P-values <0.05 were considered as significantly associated.

Results

More than one-third, 162 (38.4%), experienced prolonged length of stay in the emergency department. The odds of prolonged stay were higher among rural area residency (AOR, 3.0; CI, 1.279–7.042), evening presentation (AOR, 4.25; CI, 1.742–10.417), and night-time presentation (AOR, 14.93; CI, 4.22–52.63), and having at least one diagnostic investigation (AOR, 4.48; CI, 1.69–11.88). However, participants who did not experience shift changes of nurses during their stay (AOR, 0.003; CI, 0.001–0.010) had a less prolonged stay.

Conclusion

A significant proportion of patients experienced a prolonged stay at the emergency department. Age, rural residency, evening and night-time presentation, shift change and having a diagnostic investigation were predictors of prolonged stay. Thus, establishing time-targeted service for patients can reduce the length of stay.

Long emergency department length of stay: A concept analysis

INTRODUCTION

Emergency Department (ED) Length of stay (LOS) has been associated with poor patient outcomes, which has led to the implementation of time targets designed to keep EDLOS below a specific limit. The cut-offs defining long EDLOS varies across settings and seem to be arbitrarily chosen. This study aimed to clarify the meaning of long EDLOS.

METHODS

A concept analysis using the Walker and Avant approach was conducted. It included a literature search aiming to identify all uses of the concept, resulting in a set of defining attributes and a way of measuring the concept empirically.

RESULTS

Long EDLOS was primarily used as proxy for other phenomena, e.g. boarding or crowding. The definitions had cut-offs ranging between 4 and 48 h. The attributes defining long EDLOS was waiting, a crowded ED environment and an inefficient organization.

DISCUSSION

Time targets are probably more suitable when directed towards and tailored for specific sub-groups of the ED population.

The impact of hospital boarding on the emergency department waiting room

BACKGROUND

Patient boarding in the emergency department (ED) is a significant issue leading to increased morbidity/mortality, longer lengths of stay, and higher hospital costs. We examined the impact of boarding patients on the ED waiting room. Additionally, we determined whether facility type, patient acuity, time of day, or hospital occupancy impacted waiting rooms in 18 EDs across a large healthcare system.

METHODS

This was a retrospective multicenter study that included all ED encounters between January 1, 2018, and September 30, 2019. Encounters with missing Emergency Severity Index (ESI) level were excluded. ESI levels were defined as high (ESI 1,2), middle (ESI 3), and low (ESI 4,5). Spearman correlation coefficients measured the relationship between boarded patients and number of patients in ED waiting room. A multivariable mixed effects model identified drivers of this relationship.

RESULTS

A total of 1,134,178 encounters were included. Spearman correlation coefficient was significant between number of patients in the ED waiting room and patient boarding (0.54). For every additional patient boarded/hour, the number of patients waiting/hour in the waiting room increased by 8% (95% confidence interval [CI] = 1.08-1.09). The number of patients waiting for a room/hour was 2.28 times higher for middle than for high acuity. The number of patients in waiting room slightly decreased as hospital occupancy increased (95% CI = 0.997-0.997).

CONCLUSION

Number of patients in ED waiting room are directly related to boarding times and hospital occupancy. ED waiting room times should be considered as not just an ED operational issue, but an aspect of hospital throughput.

Emergency Department Boarding of Non-Trauma Patients Adversely Affects Trauma Patient Length of Stay

Introduction Emergency Department (ED) boarding delays initiation of time-sensitive protocols for trauma patients and makes them susceptible to increased mortality and morbidity. In this study, we compared the ED boarding times of non-trauma patients and ED length of stay (LOS) of trauma patients. Methods This was a single-center retrospective cohort study in a Level 1 trauma center. The median boarding time among non-trauma patients and ED LOS among trauma patients was determined by month between the period of April 2018 to March 2019. Linear regression and Pearson correlation coefficient were used to express the magnitude and direction of the relationship between these two variables. Results During the study period, the mean number of non-trauma patients admitted in our ED per month was 1,154 and trauma patients was 89. The mean of the median boarding time per month for non-trauma patients was 76 minutes, and the mean of the median ED LOS per month for trauma patients was 198 minutes. There was a significant positive correlation between boarding time for non-trauma patients and ED LOS for trauma patients (Pearson correlation coefficient: 0.73; p = 0.007). Conclusion The long boarding times for non-trauma patients is associated with ED LOS for trauma patients, indicating that the total patient volume in the hospital contributes to the trauma patient's stay in the ED. Thus, ED LOS of trauma patients can be minimized by improving overall ED and hospital flow, including non-trauma patients.

Boarding of critically Ill patients in the emergency department

OBJECTIVES

Emergency department boarding is the practice of caring for admitted patients in the emergency department after hospital admission, and boarding has been a growing problem in the United States. Boarding of the critically ill has achieved specific attention because of its association with poor clinical outcomes. Accordingly, the Society of Critical Care Medicine and the American College of Emergency Physicians convened a Task Force to understand the implications of emergency department boarding of the critically ill. The objective of this article is to review the U.S. literature on (1) the frequency of emergency department boarding among the critically ill, (2) the outcomes associated with critical care patient boarding, and (3) local strategies developed to mitigate the impact of emergency department critical care boarding on patient outcomes.

DATA SOURCES AND STUDY SELECTION

Review article.

DATA EXTRACTION AND DATA SYNTHESIS

Emergency department-based boarding of the critically ill patient is common, but no nationally representative frequency estimates has been reported. Boarding literature is limited by variation in the definitions used for boarding and variation in the facilities studied (boarding ranges from 2% to 88% of ICU admissions). Prolonged boarding in the emergency department has been associated with longer duration of mechanical ventilation, longer ICU and hospital length of stay, and higher mortality. Health systems have developed multiple mitigation strategies to address emergency department boarding of critically ill patients, including emergency department-based interventions, hospital-based interventions, and emergency department-based resuscitation care units.

CONCLUSIONS

Emergency department boarding of critically ill patients was common and was associated with worse clinical outcomes. Health systems have generated a number of strategies to mitigate these effects. A definition for emergency department boarding is proposed. Future work should establish formal criteria for analysis and benchmarking of emergency department-based boarding overall, with subsequent efforts focused on developing and reporting innovative strategies that improve clinical outcomes of critically ill patients boarded in the emergency department.

Critical Care Delivery Solutions in the Emergency Department: Evolving Models in Caring for ICU Boarders

The National Academy of Medicine has identified emergency department (ED) crowding as a health care delivery problem. Because the ED is a portal of entry to the hospital, 25% of all ED encounters are related to critical illness. Crowding at both an ED and hospital level can thus lead to boarding of a number of critically ill patients in the ED. EDs are required to not only deliver immediate resuscitative and stabilizing care to critically ill patients on presentation but also provide longitudinal care while boarding for the ICU. Crowding and boarding are multifactorial and complex issues, for which different models for delivery of critical care in the ED have been described. Herein, we provide a narrative review of different models of delivery of critical care reported in the literature and highlight aspects for consideration for successful local implementation.

Effect of Delayed Admission to Intensive Care Units from the Emergency Department on the Mortality of Critically Ill Patients

Background: Increasing in emergency department need to critical care, the number of intensive care unit bed worldwide is inadequate to meet these applies. Objectives: The aim of this study was to investigate the effect of waiting for admission to the Intensive Care Unit (ICU) in the Emergency Department (ED) on the length of stay in the ICU and the mortality of critically ill patients. Methods: This retrospective cohort study carried out between January 2012 - 2019 patients admitted to the ICU of a training and research hospital. The data of 1297 adult patients were obtained by searching the Clinical Decision Support System. Results: The data of the patients were evaluated in two groups as those considered to be delayed and non-delayed. It was determined that the delay of two hours increased the risk of mortality 1.5 times. Hazard Ratios (HR) was 1.548 (1.077 - 2.224). Patients whose ICU admission was delayed by 5 - 6 hours were found to have the highest risk in terms of mortality (HR = 2.291 [1.503 - 3.493]). A statistically significant difference was found in the ICU mortality, 28-day and, 90-day mortality between the two groups. ICU mortality for all patients’ general was 25.2% (327/1297). This rate was 11.4% (55/481) in the non-delayed group and 33.3% (272/816) in the delayed group (P < 0.001). The 28-day mortality rate for all patients’ general was 26.9% (349/1297). This rate was found to be 13.5% (65/481) in the non-delayed group and 34.8% (284/816) in the delayed group (P < 0.001). The 90-day mortality for all patients’ general was 28.4% (368/1297). This rate was 14.1% (68/481) in the non-delayed group and 36.8% (300/816) in the delayed group (P < 0.001). Conclusions: Prolonged stay in the ED before admission to the ICU is associated with worse consequences, and increased mortality.

Improving Quality With Emergency Department Throughput in a Critical Access Hospital

OBJECTIVE

The study objective was to determine the impact of specific measures to reduce the length of stay (LOS) in an emergency department (ED) in a critical access hospital (CAH).

BACKGROUND

Despite mandates to reduce bottlenecks by increasing throughput, many EDs are not successful. Strategies available to larger hospitals may not be feasible for resource-limited CAHs.

METHODS

Interventions were implemented to decrease ED LOS in a rural CAH. Through retrospective chart reviews from time periods both preimplementation and postimplementation, the LOS was determined and compared using 2-sample t tests.

RESULTS

Significant decreases were found between the groups in mean LOS times, as well as specific time intervals within the overall LOS time for nursing-centric activities and incidence of patients leaving prior to treatment completion.

CONCLUSIONS

A significant decrease in LOS resulted from numerous actions taken to improve patient flow. Results may be used to enhance patient flow and decrease LOS in other CAHs, improving quality and access to care.

Emergency Department to ICU Time Is Associated With Hospital Mortality: A Registry Analysis of 14,788 Patients From Six University Hospitals in The Netherlands

Supplemental Digital Content is available in the text.

Prolonged emergency department to ICU waiting time may delay intensive care treatment, which could negatively affect patient outcomes. The aim of this study was to investigate whether emergency department to ICU time is associated with hospital mortality.

Adverse outcomes of delayed intensive care unit

OBJECTIVE

To examine the impact of delayed transfer from the emergency room into the intensive care unit on the length of intensive care unit stay and death.

METHODS

This prospective, cohort study performed in a tertiary academic hospital obtained data from 1913 patients admitted to the emergency room with a documented request for admission into the intensive care unit. The patients admitted directly into the medical-surgical intensive care unit (n = 209) were categorized into tertiles according to their waiting time for intensive care unit admission (Group 1: < 637 min, Group 2: 637 to 1602 min, and Group 3: > 1602 min). Patients who stayed in the intensive care unit for longer than 3.2 days (median time of intensive care unit length of stay of all patients) were considered as having a prolonged intensive care unit stay.

RESULTS

A total of 6,176 patients were treated in the emergency room during the study period, among whom 1,913 (31%) required a bed in the intensive care unit. The median length of stay in the emergency room was 17 hours [9 to 33 hours]. Hospitalization for infection/sepsis was an independent predictor of prolonged intensive care unit stay (OR 2.75 95%CI 1.38 - 5.48, p = 0.004), but waiting time for intensive care unit admission was not. The mortality rate was higher in Group 3 (38%) than in Group 1 (31%) but the difference was not statistically significant.

CONCLUSION

Delayed admission into the intensive care unit from the emergency room did not result in an increased intensive care unit stay or mortality.

Cost Impact Model of a Novel Multi-mRNA Host Response Assay for Diagnosis and Risk Assessment of Acute Respiratory Tract Infections and Sepsis in the Emergency Department

BACKGROUND

Early identification of acute infections and sepsis remains an unmet medical need. While early detection and initiation of treatment reduces mortality, inappropriate treatment leads to adverse events and the development of antimicrobial resistance. Current diagnostic and prognostic solutions, including procalcitonin, lack required accuracy. A novel blood-based host response test, HostDx™ Sepsis by Inflammatix, Inc., assesses the likelihood of a bacterial infection, the likelihood of a viral infection, and the severity of the condition.

OBJECTIVES

We estimated the economic impact of adopting HostDx Sepsis testing among patients with suspected acute respiratory tract infection (ARTI) in the emergency department (ED).

METHODS

Our cost impact model estimated costs for adult ED patients with suspected ARTI under the standard of care versus with the adoption of HostDx Sepsis from the perspective of US payers. Included costs were those assumed to be associated with an episode of sepsis diagnosis, management, and treatment. Projected accuracies for test predictions, disease prevalence, and clinical parameters was derived from patient-level meta-analysis data of randomized trials, supplemented with published performance data for HostDx Sepsis. One-way sensitivity analysis was performed on key input parameters.

RESULTS

Compared to standard of care including procalcitonin, the superior test characteristics of HostDx Sepsis resulted in an average cost savings of approximately US$1974 per patient (-31.3%) exclusive of the cost of HostDx Sepsis. Reductions in hospital days (-0.80 days, -36.7%), antibiotic days (-1.49 days, -29.5%), and percent 30-day mortality (-1.67%, -13.64%) were driven by HostDx Sepsis providing fewer "noninformative" moderate risk predictions and more "certain" low- or high-risk predictions compared to standard of care, especially for patients who were not severely ill. These results were robust to changes in key parameters, including disease prevalence.

CONCLUSIONS

Our model shows substantial savings associated with introduction of HostDx Sepsis among patients with ARTIs in EDs. These results need confirmation in interventional trials.

Liu S, A. Camargo C, Aburawi E, Moeckel M, Slagman A, Christ M, Singer A, Tazarourte K, Rathlev NK, A. Grossman S, Bellou A. Association between boarding in the emergency department and in-hospital mortality: A systematic review

IMPORTANCE

Boarding in the emergency department (ED) is a critical indicator of quality of care for hospitals. It is defined as the time between the admission decision and departure from the ED. As a result of boarding, patients stay in the ED until inpatient beds are available; moreover, boarding is associated with various adverse events.

STUDY OBJECTIVE

The objective of our systematic review was to determine whether ED boarding (EDB) time is associated with in-hospital mortality (IHM).

METHODS

A systematic search was conducted in academic databases to identify relevant studies. Medline, PubMed, Scopus, Embase, Cochrane, Web of Science, Cochrane, CINAHL and PsychInfo were searched. We included all peer-reviewed published studies from all previous years until November 2018. Studies performed in the ED and focused on the association between EDB and IHM as the primary objective were included. Extracted data included study characteristics, prognostic factors, outcomes, and IHM. A search update in PubMed was performed in May 2019 to ensure the inclusion of recent studies before publishing.

RESULTS

From the initial 4,321 references found through the systematic search, the manual screening of reference lists and the updated search in PubMed, a total of 12 studies were identified as eligible for a descriptive analysis. Overall, six studies found an association between EDB and IHM, while five studies showed no association. The last remaining study included both ICU and non-ICU subgroups and showed conflicting results, with a positive association for non-ICU patients but no association for ICU patients. Overall, a tendency toward an association between EDB and IHM using the pool random effect was observed.

CONCLUSION

Our systematic review did not find a strong evidence for the association between ED boarding and IHM but there is a tendency toward this association. Further well-controlled, international multicenter studies are needed to demonstrate whether this association exists and whether there is a specific EDB time cut-off that results in increased IHM.