Redesigning emergency department operations amidst a viral pandemic

Determining the New Norm Elements in Emergency Departments in Malaysia During a Pandemic: A Fuzzy Delphi Method

Background

Emergency departments (EDs) have had to cope with various pandemics, such as HIN1, Ebola and the currently ongoing COVID-19. This study aimed to determine the elements of the new norm that has introduced changes into healthcare systems, particularly EDs, during the COVID-19 pandemic and to obtain consensus from the experts, the Emergency physicians in EDs across Malaysia. No previous study has been conducted on this topic.

Methods

This study used the fuzzy Delphi method (FDM) to acquire expert consensus. There were two phases in this study. The first involved extracting the elements to be assessed by the selected experts from a literature review. Three major domains were considered: infrastructure, governance and human resources. A total of 35 items were identified and divided into the three domains. In the second phase, the selected items were sent to a group of 15 ED physicians, who were asked to rate the items on a Likert-type scale. The data were then analysed using FDM.

Results

A total of 35 items were identified as possible new norms from a literature search for the three domains (governance, infrastructure and human resources). The first step of the FDM analysis showed that 9 out of the 35 items did not fulfil the initial requirement of the FDM, since the threshold value (d) must be lower than 0.2 (d 75%. Regarding the third requirement for FDM, only 1 out of the 35 items did not meet the criteria of an average fuzzy number (A value) of > 0.5. Finally, 25 items fulfilled all three requirements of FDM, so these were retained and the remaining 10 items were discarded.

Conclusion

The FDM used in this study had identified 25 items achieved the required level of agreement by the chosen experts. The results of this study can be used to guide EDs in Malaysia to utilise the new norms items in mitigating major outbreak affecting the ED services.

Emergency physicians' preferences in bronchodilator delivery for asthma exacerbations: a cross-sectional study

OBJECTIVE

Asthma is a chronic respiratory disorder characterized by airway inflammation and narrowing often leading to acute exacerbations that necessitate a visit to the emergency department (ED). While life threatening cases usually require bronchodilator delivery by nebulizers, mild to moderate acute asthma exacerbations can be treated by bronchodilators delivered either by metered dose inhalers (MDI). Numerous studies have attempted to compare between the two modalities and have drawn similar conclusions in that both are comparable in efficacy with minimal differences. What is evident, however, is that physicians remain inclined to favor nebulizers in the majority of acute asthma exacerbations.

METHODS

In this questionnaire-based study, a survey was distributed to physicians who treat asthma exacerbations to examine demographics, knowledge, beliefs, and current practice in regard to bronchodilator therapy.

RESULTS

The majority (90.8%) of physicians prefer short-acting beta agonists via nebulizer, with 9.2% favoring MDI + spacer. Participants include consultants, residents, and specialists across various emergency disciplines. While 90.1% find MDI + spacer equally effective as nebulizers, advantages cited include cost-effectiveness (49.6%), shorter ED stays (63.4%), quicker administration (67.9%), and ease of use (58.8%). Challenges include availability (66.4%) and ineffectiveness in younger patients (45%). Despite this, 65.6% are willing to switch to MDI for initial asthma management in the ED, while 34.4% are resistant.

CONCLUSION

Concerns about availability and effectiveness in younger patients remain barriers. However, a significant number are willing to adopt MDIs with spacers, indicating potential for broader use with better availability and training.

Identifying the obstacles facing emergency nurses regarding treating CTAS1 and CTAS2 in Saudi Arabia

BACKGROUND

Emergency nurses play a pivotal role in delivering efficient emergency healthcare, yet they often encounter numerous challenges, especially while managing life-threatening cases, impacting both their well-being and patient satisfaction. This study seeks to identify the prevalent challenges faced by these nurses in Saudi hospitals when handling Canadian Triage and Acuity Scale (CTAS1 and CTAS2) cases, with the aim of mitigating or managing these issues in the future.

METHODS

This study incorporated a mixed-method approach to identify obstacles in Emergency Department (ED) nursing treatment of CTAS1 and CTAS2 cases in two major Saudi Arabian hospitals. The research began with qualitative focus group interviews with expert ED nurses, followed by a quantitative survey to measure and explore relationships among the qualitative findings. Data analysis leveraged qualitative thematic analysis and principal component analysis, ensuring rigorous examination and validation of data to drive meaningful conclusions.

FINDINGS

From expert interviews, key challenges for emergency nurses were identified, including resource management, communication, training compliance, and psychological factors. A survey of 172 nurses further distilled these into five major issues: patient care management, handling critical cases, administration support, patient care delay, and stress from patients' families.

CONCLUSION

Through a mixed-method approach, this study pinpoints five pivotal challenges confronting emergency nurses in Saudi hospitals. These encompass difficulties in patient care management, the psychological toll of handling critical cases, inadequate administrative support, delays due to extended patient stays, and the stress induced by the presence of patients' families, all of which significantly impede emergency department efficiency and compromise nurse well-being.

Evidence-based nursing practice and improving pediatric patient care outcomes in the prevention of infection transmission: Emergency department findings

BACKGROUND

Reducing the risk of infection transmission by getting emergency care for pediatric patients is a challenging task.

AIM

The study aim was to assess emergency nurses' readiness to provide care for pediatric patients with infectious diseases.

METHOD

Two hundred Jordanian emergency department nurses were surveyed using a descriptive design.

RESULTS

The study revealed that insufficient safety and infection control procedures were put into place, starting with family support to allow nurses to work 145 (78%), family care plans intended to assist caregivers 139 (74.7%), the availability of respiratory protection and a backup plan for standard precautions, training requirements, and equipment 131 (70.4%), create a unit pandemic safety strategy 124 (66.7%), have a plan for emergencies for at-risk staff 116 (62.4%), have a hospital pandemic safety plan 113 (60.8%), manage inventory 102 (54.8%), use reuse guidelines if there will be severe shortages 99 (53.2%), create a strategy for nurses' access to healthcare for themselves and their families 96 (51.6%), and end with any required system updates for new policies 88 (47.3%). Staff nurses made up a large proportion of participants (145; 78%; 115; 62.8%) who said they lacked experience with care for pediatric patients with infectious illnesses who were critically sick. A 62.8% of nurses reported they did not have training in infectious disease emergency prevention and control for pediatric patients. What nurses prioritize it was determined that the concept of crisis standards of care (34.9%) was the most important educational topic for training emergency room nurses to care for pediatric patients who are critically ill with infectious infections, while the clarity of communication pathways was ranked lowest.

CONCLUSION

More training and support are needed for emergency room nurses to properly care for children's patients with infectious illnesses.

A Cross-Sectional Study of Emergency Care Services During the COVID-19 Pandemic: A Multicenter Study of Healthcare Staff Perspectives

INTRODUCTION

The coronavirus disease 2019 (COVID-19) pandemic has significantly impacted various aspects of healthcare services, including emergency care services. Healthcare staff face mental issues and physical exertion when caring for patients potentially infected with COVID-19. Understanding the experiences and perspectives of emergency department (ED) healthcare staff during the COVID-19 pandemic is essential to inform evidence-based interventions and strategies to mitigate the impact on emergency care services. This study aims to investigate the experiences of ED healthcare staff regarding emergency care services during the COVID-19 pandemic, thus providing valuable insights into the challenges faced.

MATERIALS AND METHODS

This study utilized a cross-sectional study design. Data were collected from 256 ED healthcare staff working in nine different hospitals located in Turkey between November 15, 2021, and December 30, 2021. Data were analyzed using descriptive statistics.

RESULTS

A total of 256 participants were included in the study. Of the participants, 58.6% were nurses, 19.5% were ED doctors, and 21.9% were emergency medical technicians. In addition, 67.2% of the participants were infected with COVID-19, and almost all of them (94.1%) were psychologically affected by the pandemic process. It was found that 85.2% of ED healthcare staff felt excluded by society due to being healthcare staff and 71.9% had to be separated from their families. Nurses were separated from their families at the highest rate (78%) during this period.

CONCLUSION

More than half of the ED healthcare staff had problems accessing protective equipment and were separated from their families during the pandemic due to the risk of COVID-19 transmission. Although the number of ED visits decreased because of restrictions at the beginning of the pandemic, ED visits increased again with the abolition of restrictions.

Development of a machine learning model and nomogram to predict seizures in children with COVID-19: a two-center study

OBJECTIVE

This study aimed to use machine learning to evaluate the risk factors of seizures and develop a model and nomogram to predict seizures in children with coronavirus disease 2019 (COVID-19).

MATERIAL AND METHODS

A total of 519 children with COVID-19 were assessed to develop predictive models using machine learning algorithms, including extreme gradient boosting (XGBoost), random forest (RF) and logistic regression (LR). The performance of the models was assessed using area under the receiver operating characteristic curve (AUC) values. Importance matrix plot and SHapley Additive exPlanations (SHAP) values were calculated to evaluate feature importance and to show the visualization results. The nomogram and clinical impact curve were used to validate the final model.

RESULTS

Two hundred and seventeen children with COVID-19 had seizures. According to the AUC, the RF model performed the best. Based on the SHAP values, the top three most important variables in the RF model were neutrophil percentage, cough and fever duration. The nomogram and clinical impact curve also verified that the RF model possessed significant predictive value.

CONCLUSIONS

Our research indicates that the RF model demonstrates excellent performance in predicting seizures, and our novel nomogram can facilitate clinical decision-making and potentially offer benefit for clinicians to prevent and treat seizures in children with COVID-19.

Nurses' perception of emergency department overcrowding: A qualitative study

INTRODUCTION

One of the most important wards of the hospital is the emergency department (ED). Due to the increasing number of referrals, overcrowding has become a significant problem. It means an increase in patients' referrals and swarms at the ED, limiting their medical staff access. This study investigates the nurses' experiences and perceptions about the reasons for ED overcrowding.

MATERIALS AND METHODS

Twelve emergency nurses were purposefully selected to take part in this study. Data collection was through face-to-face semi-structured interviews until data saturation was finalized. Data analysis was conducted using Graneheim and Lundman's conventional content analysis.

RESULTS

Nurses' experiences with the reasons for ED overcrowding came into two main categories. The first was "increased referral to the emergency department," which had three subcategories: "increased referral due to health system reform plan," "increased referral due to corona pandemic," and "improper triage." The second was "increased patients' length of stay at the ED" with seven subcategories including "shortage of bed," "shortage of nursing staff," "lack of physical space," "turtle para-clinic," "on-call specialists' delay," "timely medical record documentation requirements," and "delaying in patients' transfer from the ED to the ward."

CONCLUSION

The results showed ED overcrowding is inevitable. Intentional or unintentional changes in the health system, such as implementing the health system reform plan or the corona pandemic, can also increase overcrowding. Findings showed ED overcrowding increased referrals and patients' length of stay. This study suggests the health system authorities pay more attention to this phenomenon and look for solutions.

Graph data science and machine learning for the detection of COVID-19 infection from symptoms

Background

COVID-19 is an infectious disease caused by SARS-CoV-2. The symptoms of COVID-19 vary from mild-to-moderate respiratory illnesses, and it sometimes requires urgent medication. Therefore, it is crucial to detect COVID-19 at an early stage through specific clinical tests, testing kits, and medical devices. However, these tests are not always available during the time of the pandemic. Therefore, this study developed an automatic, intelligent, rapid, and real-time diagnostic model for the early detection of COVID-19 based on its symptoms.

Methods

The COVID-19 knowledge graph (KG) constructed based on literature from heterogeneous data is imported to understand the COVID-19 different relations. We added human disease ontology to the COVID-19 KG and applied a node-embedding graph algorithm called fast random projection to extract an extra feature from the COVID-19 dataset. Subsequently, experiments were conducted using two machine learning (ML) pipelines to predict COVID-19 infection from its symptoms. Additionally, automatic tuning of the model hyperparameters was adopted.

Results

We compared two graph-based ML models, logistic regression (LR) and random forest (RF) models. The proposed graph-based RF model achieved a small error rate = 0.0064 and the best scores on all performance metrics, including specificity = 98.71%, accuracy = 99.36%, precision = 99.65%, recall = 99.53%, and F1-score = 99.59%. Furthermore, the Matthews correlation coefficient achieved by the RF model was higher than that of the LR model. Comparative analysis with other ML algorithms and with studies from the literature showed that the proposed RF model exhibited the best detection accuracy.

Conclusion

The graph-based RF model registered high performance in classifying the symptoms of COVID-19 infection, thereby indicating that the graph data science, in conjunction with ML techniques, helps improve performance and accelerate innovations.

COVID-19 detection based on self-supervised transfer learning using chest X-ray images

PURPOSE

Considering several patients screened due to COVID-19 pandemic, computer-aided detection has strong potential in assisting clinical workflow efficiency and reducing the incidence of infections among radiologists and healthcare providers. Since many confirmed COVID-19 cases present radiological findings of pneumonia, radiologic examinations can be useful for fast detection. Therefore, chest radiography can be used to fast screen COVID-19 during the patient triage, thereby determining the priority of patient's care to help saturated medical facilities in a pandemic situation.

METHODS

In this paper, we propose a new learning scheme called self-supervised transfer learning for detecting COVID-19 from chest X-ray (CXR) images. We compared six self-supervised learning (SSL) methods (Cross, BYOL, SimSiam, SimCLR, PIRL-jigsaw, and PIRL-rotation) with the proposed method. Additionally, we compared six pretrained DCNNs (ResNet18, ResNet50, ResNet101, CheXNet, DenseNet201, and InceptionV3) with the proposed method. We provide quantitative evaluation on the largest open COVID-19 CXR dataset and qualitative results for visual inspection.

RESULTS

Our method achieved a harmonic mean (HM) score of 0.985, AUC of 0.999, and four-class accuracy of 0.953. We also used the visualization technique Grad-CAM++ to generate visual explanations of different classes of CXR images with the proposed method to increase the interpretability.

CONCLUSIONS

Our method shows that the knowledge learned from natural images using transfer learning is beneficial for SSL of the CXR images and boosts the performance of representation learning for COVID-19 detection. Our method promises to reduce the incidence of infections among radiologists and healthcare providers.

The Effect of Meteorological Factors on the COVID-19 Pandemic in Northeast Turkiye

Introduction Although various studies have been conducted on the relationship between meteorological factors and coronavirus disease 2019 (COVID-19), this issue has not been sufficiently clarified. In particular, there are a limited number of studies on the course of COVID-19 in the warmer-humidity seasons. Methods Patients presenting to the emergency departments of health institutions and to clinics set aside for cases of suspected COVID-19 in the province of Rize between 1 June and 31 August 2021 and who met the case definition based on the Turkish COVID-19 epidemiological guideline were included in this retrospective study. The effect of meteorological factors on case numbers throughout the study was investigated. Results During the study period, 80,490 tests were performed on patients presenting to emergency departments and clinics dedicated to patients with suspected COVID-19. The total case number was 16,270, with a median daily number of 64 (range 43-328). The total number of deaths was 103, with a median daily figure of 1.00 (range 0.00-1.25). According to the Poisson distribution analysis, it is found that the number of cases tended to increase at temperatures between 20.8 and 27.2°C. Conclusion It is predicted that the number of COVID-19 cases will not decrease with the increase in temperature in temperate regions with high rainfall. Therefore, unlike influenza, there may not be seasonal variation in the prevalence of COVID-19. The requisite measures should be adopted in health systems and hospitals to manage increases in case numbers associated with changes in meteorological factors.

Operational Status of Isolation Rooms in Emergency Departments and Patient Concentration in Higher-Level Emergency Departments in Daegu Metropolitan City and Neighboring Provinces, South Korea, during the COVID-19 Pandemic

BACKGROUND

In a pandemic situation such as the one of the COVID-19 pandemic, nosocomial transmissions attempted to be prevented by initially classifying them in triage. Therefore, emergency departments (EDs) installed isolation rooms at their entrance. Additionally, a system for pre-emptive quarantine at the triage stage was established nationwide for patients with COVID-19-related symptoms.

METHODS

Data were retrospectively collected from 28,609 patients who visited the regional emergency medical center of Yeungnam University Hospital in Daegu Metropolitan City in 2021. The study population was divided into experimental and control groups comprising patients with and without COVID-19-related symptoms, respectively. The difference in the percentage of patients visiting from outside the city was investigated between the two groups. The critically ill patient (CP) ratio was analyzed in the experimental group to verify the appropriateness of visiting a higher-level ED and was further divided into sub-regions to determine their reason for visiting an ED beyond their residential region.

RESULTS

Most lower-level EDs did not have isolation rooms. About 20.1% and 17.3% of patients in the experimental and control groups visited a higher-level ED with an isolation room beyond their residential region, respectively. The absence of an isolation room in the ED in their residential region was one reason for traveling beyond their residential region, with an odds ratio of 4.44 (95% confidence interval: 0.53-8.35).

CONCLUSION

In the process of implementing the "pre-emptive quarantine" system, it was revealed that the cooperation of the lower-level EDs was not effective during the implementation of the "pre-emptive quarantine" system. Consequently, a higher number of patients with COVID-19-related symptoms had to locate an ED with an isolation room and travel a longer distance than general patients. The participation of more EDs is required.

Capacity planning for effective cohorting of hemodialysis patients during the coronavirus pandemic: A case study

Planning treatments of different types of patients have become challenging in hemodialysis clinics during the COVID-19 pandemic due to increased demands and uncertainties. In this study, we address capacity planning decisions of a hemodialysis clinic, located within a major public hospital in Istanbul, which serves both infected and uninfected patients during the COVID-19 pandemic with limited resources (i.e., dialysis machines). The clinic currently applies a 3-unit cohorting strategy to treat different types of patients (i.e., uninfected, infected, suspected) in separate units and at different times to mitigate the risk of infection spread risk. Accordingly, at the beginning of each week, the clinic needs to allocate the available dialysis machines to each unit that serves different patient cohorts. However, given the uncertainties in the number of different types of patients that will need dialysis each day, it is a challenge to determine which capacity configuration would minimize the overlapping treatment sessions of different cohorts over a week. We represent the uncertainties in the number of patients by a set of scenarios and present a stochastic programming approach to support capacity allocation decisions of the clinic. We present a case study based on the real-world patient data obtained from the hemodialysis clinic to illustrate the effectiveness of the proposed model. We also compare the performance of different cohorting strategies with three and two patient cohorts.

Strategies to Improve Patient Flow in the Emergency Department during the COVID-19 Pandemic: A Narrative Review of Our Experience

Objective

The COVID-19 pandemic has resulted in a tremendous strain on the global healthcare system. Emergency departments worldwide have been challenged to the extreme end. This has led clinicians and policy creators to rearrange patient flow pathways for an efficient emergency department (ED).

Methods

It was reported according to our experience of utilizing a novel strategy to enhance patient flow while reducing the risk of infection transmission among patients and healthcare staff. This included the development of three layers of triage. First, an outer checkpoint prior to the hospital entrance was established to identify eligible patients for emergency department visits. The second layer of triage is located at the ED entrance to direct patients either to the respiratory or nonrespiratory care area to identify potentially infected patients and the third is the routine full triage activity. Then, after completing a clinical assessment in the ED, physicians determine the need for an inpatient isolation unit, a nonisolation inpatient unit, or discharge. Moreover, examples of additional measures were substantial changes to shift schedules; rerouting ambulance crews with COVID patients to inpatient beds directly bypassing the ED; controlled use of personal protective equipment (PPE); and implementing appropriate COVID-19 screening tests.

Results

During the peak of the pandemic, our strategies achieved favorable results and minimized unnecessary ED visits without any patient complications.

Conclusion

This current study provides a set of newly developed steps and procedures that can be further control patient flow pathways and maintain a low risk of infection transmission to a manageable level for an efficient ED.

Emergency Department Changes to Combat COVID-19 in Oman

Our hospital is one of the tertiary care hospitals in Oman receiving coronavirus disease (COVID-19; C19) patients. To meet the expected surge of patients, a number of changes was made to the emergency department (ED), especially regarding capacity building and patient flow. At first, few changes were made to the main ED, which mainly includes the addition of a COVID suspect room with the use of a separate resuscitation area. The major drawback of the abovementioned system was the inability to see more than 2 patients simultaneously. A later separate COVID emergency department (CED) was used. In the CED, pending admissions was the major problem, as the C19 ward and C19 intensive care unit were becoming full; this problem was solved through central command help. In the normal ED, the main problem was the presentation of C19-positive patients sometimes hiding their symptoms and reaching inside the main ED, exposing the staff and patients. In order to combat this problem, all patients with an acute respiratory problem, even if C19 is not suspected, were taken to the corner cubicle. In this report, the changes made in the ED to combat C19 spread are discussed.

Emergency Medicine Telehealth: A Pandemic Becomes a Gateway for Virtual Care in Missouri

Telehealth provides a novel bridge between patient needs and available resources. On-demand telehealth visits provide urgent medical services in a virtual setting. Telehealth can be used to provide care for patients despite geographical distance. Emergency Medicine quickly adapted in response to the COVID-19 pandemic through utilization of telehealth to solve various problems. Tele-triage was used to coordinate COVID-19 testing and treatment. Greater utilization of all current and emerging telehealth modalities could increase access and quality of care for all Missourians.

Associations between the COVID-19 Pandemic and Hospital Infrastructure Adaptation and Planning—A Scoping Review

The SARS-CoV-2 pandemic has put unprecedented pressure on the hospital sector around the world. It has shown the importance of preparing and planning in the future for an outbreak that overwhelms every aspect of a hospital on a rapidly expanding scale. We conducted a scoping review to identify, map, and systemize existing knowledge about the relationships between COVID-19 and hospital infrastructure adaptation and capacity planning worldwide. We searched the Web of Science, Scopus, and PubMed and hand-searched gray papers published in English between December 2019 and December 2021. A total of 106 papers were included: 102 empirical studies and four technical reports. Empirical studies entailed five reviews, 40 studies focusing on hospital infrastructure adaptation and planning during the pandemics, and 57 studies on modeling the hospital capacity needed, measured mostly by the number of beds. The majority of studies were conducted in high-income countries and published within the first year of the pandemic. The strategies adopted by hospitals can be classified into short-term (repurposing medical and non-medical buildings, remote adjustments, and establishment of de novo structures) and long-term (architectural and engineering modifications, hospital networks, and digital approaches). More research is needed, focusing on specific strategies and the quality assessment of the evidence.

The effect of COVID-19 pandemic on the length of stay and outcomes in the emergency department

Objective

This study aimed to evaluate the change in length of stay (LOS) in the emergency department (ED) and outcomes during the coronavirus disease 2019 (COVID-19) pandemic.

Methods

This is a single-center, retrospective observational study. We compared ED LOS and outcomes in patients aged ≥19 years who presented to the ED of Soonchunhyang University Bucheon Hospital, a single tertiary university hospital, between January and December in 2018, 2019, and 2020. We included patients who were diagnosed with fever, pneumonia, and sepsis in the ED, based on the International Statistical Classification of Diseases and Related Health Problems 10th Revision. We also compared the LOS and outcomes of overall ED patients in 2019 (before COVID-19) and in 2020 (after COVID-19).

Results

A total of 5,061 patients with fever, pneumonia, and sepsis were analyzed. The LOS in the ED in 2020 significantly increased compared with 2018 and 2019 (177.0±115.0 minutes in 2018, 154.0±85.0 minutes in 2019, and 208.0±239.0 minutes in 2020). The proportion of patients who were transferred to other hospitals in 2020 (2.1%) increased compared with 2018 (0.8%) and 2019 (0.7%). Intensive care unit admission significantly increased in 2020 (13.7%) compared with 2019 (10.3%). Among all ED patients, ED LOS in 2020 was longer than in 2019, particularly in patients who were admitted and then transferred to another hospital. Intensive care unit admission (4.4% vs. 5.0%), transfer rate (0.7% vs. 0.9%), and ED mortality (0.6% vs. 0.7%) also significantly increased.

Conclusion

The ED LOS, time to intensive care unit admissions, time to transfer to other hospitals, and ED mortality significantly increased during the COVID-19 pandemic.

The Study of the Outbreak of Coronavirus Infection in a General Hospital in Almaty

The study aimed to identify the possible causes of COVID-19 outbreak and its development in a general hospital in Almaty (from April 11 to May 6, 2020), where 682 persons were identified with a COVID-19. 546 were hospital employees (48.9%), including doctors (57.8%), nurses (53.4%), junior medical personnel (54.4%) and other personnel (23.3%), and also among 136 patients. The attack rate among women was 50.0%, and incidence rate was higher amongst young employees < 30 years old (57.0%). The analysis showed that there was a failure of the management of the medical personnel in such critical situation.

Flow impacts of hot/cold zone infection control procedures during the COVID-19 pandemic in the emergency department

Background

The COVID-19 pandemic forced emergency departments (EDs) to change operations to minimize nosocomial infection risk. Many EDs cohort patients using provincial screening tools at triage. Despite cohorting, staff exposures occurred in the ‘cold zone’ due to lack of personal protective equipment (PPE) use with patients deemed low risk, resulting in staff quarantines. The cohorting strategy was perceived to lengthen time to physician initial assessment and ED length of stay times in our ED without protecting staff well enough due to varying PPE use. The objective of this study was to assess the impact of hot/cold zones for patient cohorting during a viral pandemic on ED length of stay.

Methods

We conducted an interrupted time series analysis 3 weeks before and after the removal of hot/cold zone care space cohorting in our ED. In the before period, staff did not routinely wear full PPE to see cold zone patients. After removal, staff wore full PPE to see almost all patients. We collected data on ED length of stay, physician initial assessment times, arrival-to-room times, patient volumes, Canadian Triage Acuity Score (CTAS), admissions, staff hours of coverage, as well as proportions of patients on droplet/contact precautions and COVD-19 positive patients. The primary outcome was median ED length of stay.

Results

After the removal of the hot/cold divisions, there was a decrease in the adjusted median ED length of stay by 24 min (95% CI 14; 33). PPE use increased in the after arm of the study. The interrupted time series analysis suggested a decrease in median ED length of stay after removal, although the change in slope and difference did not reach statistical significance.

Conclusion

Cohorted waiting areas may provide a safety benefit without operational compromise, but cohorting staff and care spaces is likely to compromise efficiency and create delays.

Supplementary Information

The online version contains supplementary material available at 10.1007/s43678-022-00278-0.

The Impact of Coronavirus Disease 2019 on US Emergency Departments

Behavioral emergencies in the United States have been increasing, with some studies reporting a doubling in the number of people experiencing symptoms related to mental health conditions, although overall visits to US emergency departments (EDs) decreased during the coronavirus disease 2019 (COVID-19) pandemic. The uncertainty surrounding the COVID-19 pandemic caused many people to avoid health care facilities, including EDs, even if they may have otherwise sought emergency care, and was associated with increases in new behavioral health diagnoses. Measures to limit the spread of COVID-19 led to people limiting their in-person contact with others, likely exacerbating preexisting mental health issues.

Intra-articular lidocaine versus intravenous sedation for closed reduction of acute anterior shoulder dislocation in the emergency department: a systematic review and meta-analysis

OBJECTIVE

Anterior shoulder dislocations are commonly treated in the emergency department (ED). Analgesia for reduction is provided by intra-articular lidocaine (IAL) injection or intravenous sedation (IV sedation). The objective of this systematic review and meta-analysis was to compare IAL versus IV sedation for closed reduction of acute anterior shoulder dislocation in the ED.

METHODS

Electronic searches of MEDLINE and EMBASE (1946-September 2021) were completed and reference lists were hand-searched. Randomized controlled trials (RCTs) comparing IAL and IV sedation for reduction of acute anterior shoulder dislocations among patients ≥ 15 years old in the ED were included. Outcomes of interest included a successful reduction, adverse events, ED length of stay, pain scores, procedure time, ease of reduction, patient satisfaction, and cost. Two reviewers independently screened abstracts, assessed study quality and extracted data. Data were pooled using random-effects models and reported as mean differences and risk ratios (RR) with 95% confidence intervals (CIs).

RESULTS

12 RCTs were included with a total of 630 patients (IAL = 327; IV sedation = 303). There was no difference in reduction success between IAL and IV sedation (RR 0.93; 95% CI 0.86-1.01, I² = 69%), significantly lower adverse events with IAL (RR 0.16; 95% CI 0.07-0.33, I² = 0%), shorter ED length of stay with IAL (mean difference - 1.48; 95% CI - 2.48 to - 0.47, I² = 93%), no difference in pain scores post-analgesia and no difference in ease of reduction.

CONCLUSIONS

Intra-articular lidocaine may have similar effectiveness as IV sedation in the successful reduction of anterior shoulder dislocations in the ED with fewer adverse events, shorter ED length of stay, and no difference in pain scores or ease of reduction. Intra-articular lidocaine may be an effective alternative to IV sedation for reducing anterior shoulder dislocations, particularly when IV sedation is contraindicated or not feasible.

Symptom-Based Predictive Model of COVID-19 Disease in Children

BACKGROUND

Testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection is neither always accessible nor easy to perform in children. We aimed to propose a machine learning model to assess the need for a SARS-CoV-2 test in children (<16 years old), depending on their clinical symptoms.

METHODS

Epidemiological and clinical data were obtained from the REDCap® registry. Overall, 4434 SARS-CoV-2 tests were performed in symptomatic children between 1 November 2020 and 31 March 2021, 784 were positive (17.68%). We pre-processed the data to be suitable for a machine learning (ML) algorithm, balancing the positive-negative rate and preparing subsets of data by age. We trained several models and chose those with the best performance for each subset.

RESULTS

The use of ML demonstrated an AUROC of 0.65 to predict a COVID-19 diagnosis in children. The absence of high-grade fever was the major predictor of COVID-19 in younger children, whereas loss of taste or smell was the most determinant symptom in older children.

CONCLUSIONS

Although the accuracy of the models was lower than expected, they can be used to provide a diagnosis when epidemiological data on the risk of exposure to COVID-19 is unknown.

A Retrospective Cohort Study of Clinical Factors Associated with Transitions of Care among COVID-19 Patients

Coronavirus Disease 2019 (COVID-19) is an international health crisis. In this article, we report on patient characteristics associated with care transitions of: 1) hospital admission from the emergency department (ED) and 2) escalation to the intensive care unit (ICU). Analysis of data from the electronic medical record (EMR) was performed for patients with COVID-19 seen in the ED of a large Western U.S. Health System from April to August of 2020, totaling 10,079 encounters. Of these, 5172 resulted in admission as an inpatient within 72 h. Inpatient encounters (n = 6079) were also considered for patients with positive COVID-19 test results, of which 970 resulted in a transfer to the ICU or in-hospital mortality. Laboratory results, vital signs, symptoms, and comorbidities were investigated for each of these care transitions. Different top risk factors were found, but two factors common to hospital admission and ICU transfer were respiratory rate and the need for oxygen support. Comorbidities common to both settings were cerebrovascular disease and congestive heart failure. Regarding laboratory results, the neutrophil-to-lymphocyte ratio was associated with transitions to higher levels of care, along with the ratio of aspartate aminotransferase (AST) to alanine aminotransferase (ALT).

Best Practices Identified in an Academic Hospital Emergency Department to Reduce Transmission of COVID-19

Emergency departments (EDs) are the point of entry for infectious diseases, making it necessary to reevaluate current practices and make adjustments to decrease transmission when presented with a novel viral infection. This article discusses strategies implemented in the ED to prevent transmission of coronavirus disease-2019 (COVID-19) while identifying areas of needed change in creating a safe environment for patients, health care workers, and ancillary staff. A team approach is ultimately necessary for success; therefore, development of interprofessional teams was formed to mitigate any obstacles. Dissemination of the most current information regarding proper personal protective equipment use, triaging, patient flow, and treatment areas were implemented with weekly emails, videoconferencing, and daily huddles. Developing an efficient triage screening process, redesigning patient flow, and cohorting of patients and staff to a geographical location are essential to minimize transmission. Constant reevaluation of processes is necessary to meet all the needs of patients and health care staff to prevent the spread of COVID-19.

Impact of a binary triage system and structural reorganization of emergency department on health care workers exposed to suspected COVID-19 patients-a single-centre analysis

BACKGROUND

A binary triage system based on infectivity and facilitated by departmental restructuring was developed to manage suspected COVID-19 patients with an aim to provide effective prevention and control of infection among health care workers (HCWs) in the emergency department. This study analyses the effectiveness of the new triage system and structural reorganization in response to the COVID-19 pandemic.

METHODS

A cross-sectional observational study was conducted in the Emergency and Trauma Department, Hospital Kuala Lumpur (ETDHKL). The implementation of a binary triage system separates patients with risk of COVID-19 who present with fever and respiratory symptoms from other patients. Data on exposed HCWs to COVID-19 patients were captured pre-restructuring and post-restructuring of the emergency department and analysed using descriptive statistics.

RESULTS

A total of 846 HCWs were involved in this study. Pre-restructuring reported 542 HCWs exposed to COVID-19 patients while post-restructuring reported 122. Using the four categorical exposure risks for HCWs which are no identifiable risk, low risk, medium risk, and high risk, the number of HCWs exposed during pre-restructuring were 15(1.8%), 504 (59.6%), 15 (1.8%), and 8 (0.9%), respectively, while post-restructuring the numbers were 122 (14.4%), 8 (0.9%), 109 (12.9%), and 5 (0.1%), respectively. There was a 77.5% reduction in the number of exposed HCWs after our implementation of the new system (542 vs 122).

CONCLUSION

A binary triage system based on severity and infectivity and supported with structural reorganization can be effective in reducing HCWs COVID-19 exposure.

Assessment of health equity consideration in masking/PPE policies to contain COVID-19 using PROGRESS-plus framework: a systematic review

INTRODUCTION

There is increasing evidence that COVID-19 has unmasked the true magnitude of health inequity worldwide. Policies and guidance for containing the infection and reducing the COVID-19 related deaths have proven to be effective, however the extent to which health inequity factors were considered in these policies is rather unknown. The aim of this study is to measure the extent to which COVID-19 related policies reflect equity considerations by focusing on the global policy landscape around wearing masks and personal protection equipment (PPE).

METHODS

A systematic search for published documents on COVID-19 and masks/PPE was conducted across six databases: PubMed, EMBASE, CINAHL, ERIC, ASSIA and Psycinfo. Reviews, policy documents, briefs related to COVID-19 and masks/PPE were included in the review. To assess the extent of incorporation of equity in the policy documents, a guidance framework known as 'PROGRESS-Plus': Place of residence, Race/ethnicity, Occupation, Gender/sex, Religion, Education, Socioeconomic status, Social capital, Plus (age, disability etc.) was utilized.

RESULTS

This review included 212 policy documents. Out of 212 policy documents, 190 policy documents (89.62%) included at least one PROGRESS-plus component. Most of the policy documents (n = 163, 85.79%) focused on "occupation" component of the PROGRESS-plus followed by personal characteristics associated with discrimination (n = 4;2.11%), place of residence (n = 2;1.05%) and education (n = 1;0.53%). Subgroup analysis revealed that most of the policy documents (n = 176, 83.01%) were focused on "workers" such as healthcare workers, mortuary workers, school workers, transportation workers, essential workers etc. Of the remaining policy documents, most were targeted towards whole population (n = 30; 14.15%). Contrary to "worker focused" policy documents, most of the 'whole population focused' policy documents didn't have a PROGRESS-plus equity component rendering them equity limiting for the society.

CONCLUSION

Our review highlights even if policies considered health inequity during the design/implementation, this consideration was often one dimensional in nature. In addition, population wide policies should be carefully designed and implemented after identifying relevant equity related barriers in order to produce better outcomes for the whole society.

Sort and Sieve: Pre-Triage Screening of Patients with Suspected COVID-19 in the Emergency Department

INTRODUCTION

To reduce the risk of nosocomial transmission, suspected COVID-19 patients entering the Emergency Department (ED) were assigned to a high-risk (ED) or low-risk (acute medical unit, AMU) area based on symptoms, travel and contact history. The objective of this study was to evaluate the performance of our pre-triage screening method and to analyse the characteristics of initially undetected COVID-19 patients.

METHODS

This was a retrospective, observational, single centre study. Patients ≥ 18 years visiting the AMU-ED between 17 March and 17 April 2020 were included. Primary outcome was the (correct) number of COVID-19 patients assigned to the AMU or ED.

RESULTS

In total, 1287 patients visited the AMU-ED: 525 (40.8%) AMU, 762 (59.2%) ED. Within the ED group, 304 (64.3%) of 473 tested patients were COVID-19 positive, compared to 13 (46.4%) of 28 tested patients in the AMU group. Our pre-triage screening accuracy was 63.7%. Of the 13 COVID-19 patients who were initially assigned to the AMU, all patients were ≥65 years of age and the majority presented with gastro-intestinal or non-specific symptoms.

CONCLUSION

Older COVID-19 patients presenting with non-specific symptoms were more likely to remain undetected. ED screening protocols should therefore also include non-specific symptoms, particularly in older patients.

Operationalizing a Pandemic-Ready, Telemedicine-Enabled Drive-Through and Walk-In Coronavirus Disease Garage Care System as an Alternative Care Area: A Novel Approach in Pandemic Management

OBJECTIVE

Emergency departments face unforeseen surges in patients classified as low acuity during pandemics such as the coronavirus disease pandemic. Streamlining patient flow using telemedicine in an alternative care area can reduce crowding and promote physical distancing between patients and clinicians, thus limiting personal protective equipment use. This quality improvement project describes critical elements and processes in the operationalization of a telemedicine-enabled drive-through and walk-in garage care system to improve ED throughput and conserve personal protective equipment during 3 coronavirus disease surges in 2020.

METHODS

Standardized workflows were established for the operationalization of the telemedicine-enabled drive-through and walk-in garage care system for patients presenting with respiratory illness as quality improvement during disaster. Statistical control charts present interrupted time series data on the ED length of stay and personal protective equipment use in the week before and after deployment in March, July, and November 2020.

RESULTS

Physical space, technology infrastructure, equipment, and staff workflows were critical to the operationalization of the telemedicine-enabled drive-through and walk-in garage care system. On average, the ED length of stay decreased 17%, from 4.24 hours during the week before opening to 3.54 hours during the telemedicine-enabled drive-through and walk-in garage care system operation. There was an estimated 25% to 41% reduction in personal protective equipment use during this time.

CONCLUSION

Lessons learned from this telemedicine-enabled alternative care area implementation can be used for disaster preparedness and management in the ED setting to reduce crowding, improve throughput, and conserve personal protective equipment during a pandemic.

Emergency clinicians' knowledge, preparedness and experiences of managing COVID-19 during the 2020 global pandemic in Australian healthcare settings

BACKGROUND

Emergency clinicians have a crucial role during public health emergencies and have been at the frontline during the COVID-19 pandemic. This study examined the knowledge, preparedness and experiences of Australian emergency nurses, emergency physicians and paramedics in managing COVID-19.

METHODS

A voluntary cross-sectional study of members of the College of Emergency Nursing Australasia, the Australasian College for Emergency Medicine, and the Australasian College of Paramedicine was conducted using an online survey (June-September 2020).

RESULTS

Of the 159 emergency nurses, 110 emergency physicians and 161 paramedics, 67.3-78% from each group indicated that their current knowledge of COVID-19 was 'good to very good'. The most frequently accessed source of COVID-19 information was from state department of health websites. Most of the respondents in each group (77.6-86.4%) received COVID-19 specific training and education, including personal protective equipment (PPE) usage. One-third of paramedics reported that their workload 'had lessened' while 36.4-40% of emergency nurses and physicians stated that their workload had 'considerably increased'. Common concerns raised included disease transmission to family, public complacency, and PPE availability.

CONCLUSIONS

Extensive training and education and adequate support helped prepare emergency clinicians to manage COVID-19 patients. Challenges included inconsistent and rapidly changing communications and availability of PPE.

Efficiency and Teamwork in Emergency Departments: Perception of Staff on Design Interventions

OBJECTIVES

The goal of this study is twofold: (1) identifying design strategies that enhance efficiency and support teamwork in emergency departments (EDs) and (2) identifying design features that contribute to the spread of COVID-19, based on staff perception.

BACKGROUND

Due to increasing ED visits annually, an efficient work environment has become one of the main concerns in designing EDs. According to the literature, an efficient work environment and teamwork improve healthcare outcomes and positively impact staff satisfaction. During the COVID-19 pandemic, EDs faced various changes such as workflow and space usage. Few studies explored staff perceptions about the influence of design features on efficiency, teamwork, and the COVID-19 spread.

METHOD

An online survey with 14 open- and closed-ended questions was distributed among ED staff members to collect data about unit design features that impact efficiency, teamwork, and the COVID-19 spread.

RESULTS

The central nursing station was one of the preferred configurations that increased efficiency and teamwork in EDs. Decentralizing disposal rooms in small-size EDs and decentralizing the medication room in large-size EDs with more than 65 exam rooms can decrease staff walking steps. Flexibility to expand treatment spaces on demand, one-way track circulation path, and changing the air pressure in COVID-19 treatment areas were some of the staff suggestions for future EDs.

CONCLUSION

The findings of this study contribute to the body of knowledge that EDs' physical environments can impact efficiency and teamwork among staff and, consequently, healthcare outcomes. Compartmentalization of the ED layout can reduce the spread of COVID-19.

Real-world evaluation of a computed tomography-first triage strategy for suspected Coronavirus disease 2019 in outpatients in Japan: An observational cohort study

ABSTRACT

The Coronavirus disease 2019 pandemic continues to spread worldwide. Because of the absence of reliable rapid diagnostic systems, patients with symptoms of Coronavirus disease 2019 are treated as suspected of the disease. Use of computed tomography findings in Coronavirus disease 2019 are expected to be a reasonable method for triaging patients, and computed tomography-first triage strategies have been proposed. However, clinical evaluation of a computed tomography-first triage protocol is lacking.The aim of this study is to investigate the real-world efficacy and limitations of a computed tomography-first triage strategy in patients with suspected Coronavirus disease 2019.This was a single-center cohort study evaluating outpatients with fever who received medical examination at Yokohama City University Hospital, prospectively registered between 9 February and 5 May 2020. We treated according to the computed tomography-first triage protocol. The primary outcome was efficacy of the computed tomography-first triage protocol for patients with fever in an outpatient clinic. Efficacy of the computed tomography-first triage protocol for outpatients with fever was evaluated using sensitivity, specificity, positive predictive value, and negative predictive value. We conducted additional analyses of the isolation time of feverish outpatients and final diagnoses.In total, 108 consecutive outpatients with fever were examined at our hospital. Using the computed tomography-first triage protocol, 48 (44.9%) patients were classified as suspected Coronavirus disease 2019. Nine patients (18.8%) in this group were positive for severe acute respiratory syndrome coronavirus 2 using polymerase chain reaction; no patients in the group considered less likely to have Coronavirus disease 2019 tested positive for the virus. The protocol significantly shortened the duration of isolation for the not-suspected versus the suspected group (70.5 vs 1037.0 minutes, P < .001).Our computed tomography-first triage protocol was acceptable for screening patients with suspected Coronavirus disease 2019. This protocol will be helpful for appropriate triage, especially in areas where polymerase chain reaction is inadequate.

Worsening of emergency department length of stay during the COVID-19 pandemic

OBJECTIVE

Our study sought to determine whether there was a change in emergency department (ED) length of stay (LOS) during the coronavirus disease 2019 (COVID-19) pandemic compared to prior years.

METHODS

We performed a retrospective analysis using ED performance data 2018-2020 from 56 EDs across the United States. We used a generalized estimating equation (GEE) model to assess differences in ED LOS for admitted (LOS-A) and discharged (LOS-D) patients during the COVID-19 pandemic period compared to prior years.

RESULTS

GEE modeling showed that LOS-A and LOS-D were significantly higher during the COVID-19 period compared to the pre-COVID-19 period. LOS-A during the COVID-19 period was 10.3% higher compared to the pre-COVID-19 time period, which represents a higher geometric mean of 28 minutes. LOS-D during the COVID-19 period was 2.8% higher compared to the pre-COVID-19 time period, which represents a higher geometric mean of 2 minutes.

CONCLUSIONS

ED LOS-A and LOS-D were significantly higher in the COVID-19 period compared to the pre-COVID-19 period despite a lower volume of patients in the COVID-19 period.

Telehealth use in emergency care during coronavirus disease 2019: a systematic review

OBJECTIVE

The coronavirus disease 2019 pandemic has presented emergency departments (EDs) with many challenges to address the acute care needs of patients. Many EDs have leveraged telehealth to innovatively respond to these challenges. This review describes the landscape of telehealth initiatives in emergency care that have been described during the coronavirus disease 2019 pandemic.

METHODS

We conducted a comprehensive, systematic review of the literature using PubMed, supplemented by a review of the gray literature (ie, non-peer reviewed), with input from subject matter experts to identify telehealth initiatives in emergency care during coronavirus disease 2019. We categorized types of telehealth use based on purpose and user characteristics.

RESULTS

We included 27 papers from our review of the medical literature and another 8 sources from gray literature review. The vast majority of studies (32/35) were descriptive in nature, with the additional inclusion of 2 cohort studies and one randomized clinical trial. There were 5 categories of ED telehealth use during the pandemic: (1) pre-ED evaluation and screening, (2) within ED (including as a means of limiting staff and patient exposure and facilitating consultation with specialists), (3) post-ED discharge monitoring and treatment, (4) educating trainees and health care workers, and (5) coordinating resources and patient care.

CONCLUSION

Telehealth has been used in a variety of manners during the coronavirus disease 2019 pandemic, enabling innovation in emergency care delivery. The findings from this study can be used by institutions to consider how telehealth may address challenges in emergency care during the coronavirus disease 2019 pandemic and beyond. Because few studies included cost data and given the variability in institutional resources, how organizations implement telehealth programs will likely vary. Future work should further explore barriers and facilitators of innovation, and the impact on care delivery and patient outcomes.

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

During the coronavirus disease 2019 (COVID-19) pandemic, rapid and accurate triage of patients at the emergency department is critical to inform decision-making. We propose a data-driven approach for automatic prediction of deterioration risk using a deep neural network that learns from chest X-ray images and a gradient boosting model that learns from routine clinical variables. Our AI prognosis system, trained using data from 3661 patients, achieves an area under the receiver operating characteristic curve (AUC) of 0.786 (95% CI: 0.745-0.830) when predicting deterioration within 96 hours. The deep neural network extracts informative areas of chest X-ray images to assist clinicians in interpreting the predictions and performs comparably to two radiologists in a reader study. In order to verify performance in a real clinical setting, we silently deployed a preliminary version of the deep neural network at New York University Langone Health during the first wave of the pandemic, which produced accurate predictions in real-time. In summary, our findings demonstrate the potential of the proposed system for assisting front-line physicians in the triage of COVID-19 patients.

Delayed emergency healthcare seeking behaviour by Dutch emergency department visitors during the first COVID-19 wave: a mixed methods retrospective observational study

Background

Emergency department (ED) visits due to non-coronavirus disease 2019 (COVID-19) conditions have drastically decreased since the outbreak of the COVID-19 pandemic. This study aimed to identify the magnitude, characteristics and underlying motivations of ED visitors with delayed healthcare seeking behaviour during the first wave of the pandemic.

Methods

Between March 9 and July 92,020, adults visiting the ED of an academic hospital in the East of the Netherlands received an online questionnaire to collect self-reported data on delay in seeking emergency care and subsequent motivations for this delay. Telephone interviews were held with a subsample of respondents to better understand the motivations for delay as described in the questionnaire. Quantitative data were analysed using descriptive statistics. Qualitative data were thematically analysed.

Results

One thousand three hundred thirty-eight questionnaires were returned (34.0% response). One in five respondents reported a delay in seeking emergency care. Almost half of these respondents (n = 126; 45.4%) reported that the pandemic influenced the delay. Respondents reporting delay were mainly older adults (mean 61.6; ±13.1 years), referred to the ED by the general practitioner (GP; 35.1%) or a medical specialist (34.7%), visiting the ED with cardiac problems (39.7%). The estimated median time of delay in receiving ED care was 3 days (inter quartile range  8 days). Respectively 46 (16.5%) and 26 (9.4%) respondents reported that their complaints would be either less severe or preventable if they had sought for emergency care earlier. Delayed care seeking behaviour was frequently motivated by: fear of contamination, not wanting to burden professionals, perceiving own complaints less urgent relative to COVID-19 patients, limited access to services, and by stay home instructions from referring professionals.

Conclusions

A relatively large proportion of ED visitors reported delay in seeking emergency care during the first wave. Delay was often driven by misperceptions of the accessibility of services and the legitimacy for seeking emergency care. Public messaging and close collaboration between the ED and referring professionals could help reduce delayed care for acute needs during future COVID-19 infection waves.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12873-021-00449-9.

Diagnostic accuracy of symptoms as a diagnostic tool for SARS-CoV 2 infection: a cross-sectional study in a cohort of 2,173 patients

BACKGROUND

The SARS-CoV-2 pandemic continues to be a priority health problem; According to the World Health Organization data from October 13, 2020, 37,704,153 confirmed COVID-19 cases have been reported, including 1,079,029 deaths, since the outbreak. The identification of potential symptoms has been reported to be a useful tool for clinical decision-making in emergency departments to avoid overload and improve the quality of care. The aim of this study was to evaluate the performances of symptoms as a diagnostic tool for SARS -CoV-2 infection.

METHODS

An observational, cross-sectional, prospective and analytical study was carried out, during the period of time from April 14 to July 21, 2020. Data (demographic variables, medical history, respiratory and non-respiratory symptoms) were collected by emergency physicians. The diagnosis of COVID-19 was made using SARS-CoV-2 RT-PCR. The diagnostic accuracy of these characteristics for COVID-19 was evaluated by calculating the positive and negative likelihood ratios. A Mantel-Haenszel and multivariate logistic regression analysis was performed to assess the association of symptoms with COVID-19.

RESULTS

A prevalence of 53.72% of SARS-CoV-2 infection was observed. The symptom with the highest sensitivity was cough 71%, and a specificity of 52.68%. The symptomatological scale, constructed from 6 symptoms, obtained a sensitivity of 83.45% and a specificity of 32.86%, taking ≥2 symptoms as a cut-off point. The symptoms with the greatest association with SARS-CoV-2 were: anosmia odds ratio (OR) 3.2 (95% CI; 2.52-4.17), fever OR 2.98 (95% CI; 2.47-3.58), dyspnea OR 2.9 (95% CI; 2.39-3.51]) and cough OR 2.73 (95% CI: 2.27-3.28).

CONCLUSION

The combination of ≥2 symptoms / signs (fever, cough, anosmia, dyspnea and oxygen saturation < 93%, and headache) results in a highly sensitivity model for a quick and accurate diagnosis of COVID-19, and should be used in the absence of ancillary diagnostic studies. Symptomatology, alone and in combination, may be an appropriate strategy to use in the emergency department to guide the behaviors to respond to the disease.

TRIAL REGISTRATION

Institutional registration R-2020-3601-145, Federal Commission for the Protection against Sanitary Risks 17 CI-09-015-034, National Bioethics Commission: 09 CEI-023-2017082 .

Correlation between Emergency Medical Services Suspected COVID-19 Patients and Daily Hospitalizations

Objective: We sought to determine if Emergency Medical Services (EMS) identified Persons Under Investigation (PUI) for COVID-19 are associated with hospitalizations for COVID-19 disease for the purposes of serving as a potential early indicator of hospital surge. Methods: A retrospective analysis was conducted using data from the Maryland statewide EMS electronic medical records and daily COVID-19 hospitalizations from March 13, 2020 through July 31, 2020. All unique EMS patients who were identified as COVID-19 PUIs during the study period were included. Descriptive analysis was performed. The Box-Jenkins approach was used to evaluate the relationship between EMS transports and daily new hospitalizations. Separate Auto Regressive Integrated Moving Average (ARIMA) models were constructed to transform the data into a series of independent, identically distributed random variables. Fit was measured using the Akaike Information Criterion (AIC). The Box-Ljung white noise test was utilized to ensure there was no autocorrelation in the residuals. Results: EMS units in Maryland identified a total of 26,855 COVID-19 PUIs during the 141-day study period. The median patient age was 62 years old, and 19,111 (71.3%) were 50 years and older. 6,886 (25.6%) patients had an abnormal initial pulse oximetry (<92%). A strong degree of correlation was observed between EMS PUI transports and new hospitalizations. The correlation was strongest and significant at a 9-day lag from time of EMS PUI transports to new COVID-19 hospitalizations, with a cross correlation coefficient of 0.26 (p < .01). Conclusions: A strong correlation between EMS PUIs and COVID-19 hospitalizations was noted in this state-wide analysis. These findings demonstrate the potential value of incorporating EMS clinical information into the development of a robust syndromic surveillance system for COVID-19. This correlation has important utility in the development of predictive tools and models that seek to provide indicators of an impending surge on the healthcare system at large.

Emergency Physicians and Personal Narratives Improve the Perceived Effectiveness of COVID-19 Public Health Recommendations on Social Media: A Randomized Experiment

Background

Containment of the coronavirus disease 2019 (COVID‐19) pandemic requires the public to change behavior under social distancing mandates. Social media are important information dissemination platforms that can augment traditional channels communicating public health recommendations. The objective of the study was to assess the effectiveness of COVID‐19 public health messaging on Twitter when delivered by emergency physicians and containing personal narratives.

Methods

On April 30, 2020, we randomly assigned 2,007 U.S. adults to an online survey using a 2 × 2 factorial design. Participants rated one of four simulated Twitter posts varied by messenger type (emergency physician vs. federal official) and content (personal narrative vs. impersonal guidance). The main outcomes were perceived message effectiveness (35‐point scale), perceived attitude effectiveness (PAE; 15‐point scale), likelihood of sharing Tweets (7‐point scale), and writing a letter to their governor to continue COVID‐19 restrictions (write letter or none).

Results

The physician/personal (PP) message had the strongest effect and significantly improved all main messaging outcomes except for letter writing. Unadjusted mean differences between PP and federal/impersonal (FI) were as follows: perceived messaging effectiveness (3.2 [95% CI = 2.4 to 4.0]), PAE (1.3 [95% CI = 0.8 to 1.7]), and likelihood of sharing (0.4 [95% CI = 0.15 to 0.7]). For letter writing, PP made no significant impact compared to FI (odds ratio = 1.14 [95% CI = 0.89 to 1.46]).

Conclusions

Emergency physicians sharing personal narratives on Twitter are perceived to be more effective at communicating COVID‐19 health recommendations compared to federal officials sharing impersonal guidance.

COVID-19 Pandemic Once Again Exposes the Weakest Link in Laboratory Services: Specimen Delivery

Objective

Reorganization of the emergency department (ED) during the COVID-19 pandemic implied closure of the ED-dedicated laboratory and manual transport of all specimens to the dislocated central laboratory. The impact of such reorganization on laboratory turnaround time (TAT) was examined.

Methods

The TAT from blood sampling to specimen reception (TAT1), from specimen reception to test reporting (TAT2), and from sampling to test reporting (TAT3) were compared between the pandemic peak month in 2020 and the same month in 2019. We evaluated whether TAT2 fulfills the recommended 60-minute criteria.

Results

A statistically significant difference was observed for all comparisons (P <.001), with TAT1 prominently contributing to TAT3 prolongation (from 48 minutes to 108 minutes) and exceeding the recommended 60-minute criteria. The TAT2 was extended from 33 minutes to 49 minutes.

Conclusion

An ED reorganization compromised the usual laboratory services for patients in the ED, with manual specimen delivery being the main cause for TAT prolongation.

Emergency department crowding and hospital transformation during COVID-19, a retrospective, descriptive study of a university hospital in Stockholm, Sweden

Objectives

COVID-19 presents challenges to the emergency care system that could lead to emergency department (ED) crowding. The Huddinge site at the Karolinska university hospital (KH) responded through a rapid transformation of inpatient care capacity together with changing working methods in the ED. The aim is to describe the KH response to the COVID-19 crisis, and how ED crowding, and important input, throughput and output factors for ED crowding developed at KH during a 30-day baseline period followed by the first 60 days of the COVID-19 outbreak in Stockholm Region.

Methods

Different phases in the development of the crisis were described and identified retrospectively based on major events that changed the conditions for the ED. Results were presented for each phase separately. The outcome ED length of stay (ED LOS) was calculated with mean and 95% confidence intervals. Input, throughput, output and demographic factors were described using distributions, proportions and means. Pearson correlation between ED LOS and emergency ward occupancy by phase was estimated with 95% confidence interval.

Results

As new working methods were introduced between phase 2 and 3, ED LOS declined from mean (95% CI) 386 (373–399) minutes to 307 (297–317). Imaging proportion was reduced from 29 to 18% and admission rate increased from 34 to 43%. Correlation (95% CI) between emergency ward occupancy and ED LOS by phase was 0.94 (0.55–0.99).

Conclusions

It is possible to avoid ED crowding, even during extreme and quickly changing conditions by leveraging previously known input, throughput and output factors. One key factor was the change in working methods in the ED with higher competence, less diagnostics and increased focus on rapid clinical admission decisions. Another important factor was the reduction in bed occupancy in emergency wards that enabled a timely admission to inpatient care. A key limitation was the retrospective study design.

The intersection of viral illnesses: A seasonal influenza epidemic amidst the COVID-19 pandemic

As seasons come and go throughout the year, so does the rise and fall of influenza-like illnesses. The next wave of influenza will occur as the novel coronavirus 19 (COVID-19), caused by the SARS CoV-2 virus, continues to afflict the US. Both viruses, while from different families, have similar risk factors and symptoms such as fever, cough, headache, muscle aches, and fatigue. Since both viruses carry similar patient presentations and target similar patient populations, the ability of physicians to make a clinical diagnosis of influenza without testing is impaired. Obtaining the correct diagnosis for a patient presenting with a viral illness is paramount for determining the best course of treatment, particularly since the treatment for influenza has not been shown to be effective in treating COVID-19 patients. Another diagnosis that must be kept in mind is the possibility of co-infection with both influenza and COVID-19. With COVID-19 already placing patients in the Intensive Care Unit, additional pathogens causing similar severe manifestations can worsen patient outcomes. The compounding cumbersome additions of Influenza-Like-Illnesses can further burden the already stressed healthcare system, highlights the importance of proactive measures. Increasing influenza vaccination rates is a supported proactive measure that can be promoted through social media platforms, infomercials, and short informational videos physicians can play prior to the start of a telemedicine visit. Through the implementation of education and support for vaccination, this imminent danger may be avoided, allowing healthcare providers to effectively navigate the crossroads built by incoming patients presenting with viral illnesses.

Risk Stratification of COVID-19 Patients Using Ambulatory Oxygen Saturation in the Emergency Department

INTRODUCTION

It is difficult to determine illness severity for coronavirus disease 2019 (COVID-19) patients, especially among stable-appearing emergency department (ED) patients. We evaluated patient outcomes among ED patients with a documented ambulatory oxygen saturation measurement.

METHODS

This was a retrospective chart review of ED patients seen at New York University Langone Health during the peak of the COVID-19 pandemic in New York City. We identified ED patients who had a documented ambulatory oxygen saturation. We studied the outcomes of high oxygen requirement (defined as >4 liters per minute) and mechanical ventilation among admitted patients and bounceback admissions among discharged patients. We also performed logistic regression and compared the performance of different ambulatory oxygen saturation cutoffs in predicting these outcomes.

RESULTS

Between March 15-April 14, 2020, 6194 patients presented with fever, cough, or shortness of breath at our EDs. Of these patients, 648 (11%) had a documented ambulatory oxygen saturation, of which 165 (24%) were admitted. Notably, admitted and discharged patients had similar initial vital signs. However, the average ambulatory oxygen saturation among admitted patients was significantly lower at 89% compared to 96% among discharged patients (p<0.01). Among admitted patients with an ambulatory oxygen saturation, 30% had high oxygen requirements and 8% required mechanical ventilation. These rates were predicted by low ambulatory oxygen saturation (p<0.01). Among discharged patients, 50 (10%) had a subsequent ED visit resulting in admission. Although bounceback admissions were predicted by ambulatory oxygen saturation at the first ED visit (p<0.01), our analysis of cutoffs suggested that this association may not be clinically useful.

CONCLUSION

Measuring ambulatory oxygen saturation can help ED clinicians identify patients who may require high levels of oxygen or mechanical ventilation during admission. However, it is less useful for identifying which patients may deteriorate clinically in the days after ED discharge and require subsequent hospitalization.

Mapping COVID-19 related research from Saudi Arabia, a scoping review. Between reality and dreams

OBJECTIVES

To map research production by Saudi-affiliated investigators in order to identify areas of strength and weakness. Method: We followed the Arksey and O'Malley (2005) framework. Medline and Cochrane databases were searched with a focus on identifying articles related to COVID-19 and Saudi Arabia following the PRISMA protocol. The study was conducted at King Saud University, Riyadh, Saudi Arabia between March and May 2020. Results: A total of 53 articles were ultimately included. Most of the research production from Saudi Arabia was opinion and narrative reviews related to the clinicopathological features of COVID-19 as well as control and prevention of virus spread.  Conclusion: The results of this scoping review identify a relative deficiency in original research, which requires further investigation.

Emergency Department and Out-of-Hospital Emergency System (112-AREU 118) integrated response to Coronavirus Disease 2019 in a Northern Italy centre

Since December 2019, the world has been facing the life-threatening disease, named Coronavirus disease-19 (COVID-19), recognized as a pandemic by the World Health Organization. The response of the Emergency Medicine network, integrating "out-of-hospital" and "hospital" activation, is crucial whenever the health system has to face a medical emergency, being caused by natural or human-derived disasters as well as by a rapidly spreading epidemic outbreak. We here report the Pavia Emergency Medicine network response to the COVID-19 outbreak. The "out-of-hospital" response was analysed in terms of calls, rescues and missions, whereas the "hospital" response was detailed as number of admitted patients and subsequent hospitalisation or discharge. The data in the first 5 weeks of the Covid-19 outbreak (February 21-March 26, 2020) were compared with a reference time window referring to the previous 5 weeks (January 17-February 20, 2020) and with the corresponding historical average data from the previous 5 years (February 21-March 26). Since February 21, 2020, a sudden and sustained increase in the calls to the AREU 112 system was noted (+ 440%). After 5 weeks, the number of calls and missions was still higher as compared to both the reference pre-Covid-19 period (+ 48% and + 10%, respectively) and the historical control (+ 53% and + 22%, respectively). Owing to the overflow from the neighbouring hospitals, which rapidly became overwhelmed and had to temporarily close patient access, the population served by the Pavia system more than doubled (from 547.251 to 1.135.977 inhabitants, + 108%). To minimize the possibility of intra-hospital spreading of the infection, a separate "Emergency Department-Infective Disease" was created, which evaluated 1241 patients with suspected infection (38% of total ED admissions). Out of these 1241 patients, 58.0% (n = 720) were admitted in general wards (n = 629) or intensive care unit (n = 91). To allow this massive number of admissions, the hospital reshaped many general ward Units, which became Covid-19 Units (up to 270 beds) and increased the intensive care unit beds from 32 to 60. In the setting of a long-standing continuing emergency like the present Covid-19 outbreak, the integration, interaction and team work of the "out-of-hospital" and "in-hospital" systems have a pivotal role. The present study reports how the rapid and coordinated reorganization of both might help in facing such a disaster. AREU-112 and the Emergency Department should be ready to finely tune their usual cooperation to respond to a sudden and overwhelming increase in the healthcare needs brought about by a pandemia like the current one. This lesson should shape and reinforce the future.

Roadmap for Restarting Elective Surgery During/After COVID-19 Pandemic

The worldwide COVID-19 pandemic has resulted in complete stoppage of elective surgery in most countries, which has created a huge backlog of waiting patients. This invited editorial comments on the current challenge of restarting elective surgery during/after COVID-19 pandemic.