Emergency Department Vital Signs and Outcomes After Discharge

Emergency department overcrowding and its associated factors at HARME medical emergency center in Eastern Ethiopia

Introduction

Emergency department (ED) overcrowding has become a significant concern as it can lead to compromised patient care in emergency settings. Various tools have been used to evaluate overcrowding in ED. However, there is a lack of data regarding this issue in resource-limited countries, including Ethiopia. This study aimed to validate NEDOCS, assess level of ED overcrowding and identify associated factors at HARME Medical Emergency Center, located in Hiwot Fana Comprehensive Specialized Hospital, Harar, Ethiopia.

Methods

A cross-sectional study was conducted at the HARME Medical Emergency Center, Hiwot Fana Comprehensive Specialized Hospital, involving a total of 899 patients during 120 sampling intervals. The area under the receiver operating characteristic curves (AUC) was calculated to evaluate the agreement between objective and subjective assessments of ED overcrowding. A multivariable logistic regression analysis was employed to identify factors associated with ED overcrowding and statistically significant association was declared using 95 % confidence level and a p-value < 0.05.

Results

The interrater agreement showed a strong correlation with a Cohen's kappa (κ) of 0.80. The National Emergency Department Overcrowding Study Score demonstrated a strong association with subjective assessments from residents and case team nurses, with an AUC of 0.81 and 0.79, respectively. According to residents' perceptions, ED were considered overcrowded 65.8 % of the time. Factors significantly associated with ED overcrowding included waiting time for triage (AOR: 2.24; 95 % CI: 1.54-3.27), working time (AOR: 2.23; 95 % CI: 1.52-3.26), length of stay (AOR: 2.40; 95 % CI: 1.27-4.54), saturation level (AOR: 2.35; 95 % CI: 1.31-4.20), chronic illness (AOR: 2.19; 95 % CI: 1.37-3.53), and abnormal pulse rate (AOR: 1.52; 95 % CI: 1.06-2.16).

Conclusion

The study revealed that ED were overcrowded approximately two-thirds of the time.

Manchester Triage System: assessment in an emergency hospital service

OBJECTIVES

to analyze demographic data, clinical profile and outcomes of patients in emergency services according to Manchester Triage System's priority level.

METHODS

a cross-sectional, analytical study, carried out with 3,624 medical records. For statistical analysis, the Chi-Square Test was used.

RESULTS

white individuals were more advanced in age. In the red and white categories, there was a higher percentage of men when compared to women (p=0.0018) and higher prevalence of personal history. Yellow priority patients had higher percentage of pain (p<0.0001). Those in red category had a higher frequency of altered vital signs, external causes, and death outcome. There was a higher percentage of exams performed and hospitalization in the orange category. Blue priority patients had a higher percentage of non-specific complaints and dismissal after risk stratification.

CONCLUSIONS

a higher percentage of altered vital signs, number of tests performed, hospitalization and death were evidenced in Manchester protocol's high priority categories.

Advances in Non-Invasive Blood Pressure Monitoring

This paper reviews recent advances in non-invasive blood pressure monitoring and highlights the added value of a novel algorithm-based blood pressure sensor which uses machine-learning techniques to extract blood pressure values from the shape of the pulse waveform. We report results from preliminary studies on a range of patient populations and discuss the accuracy and limitations of this capacitive-based technology and its potential application in hospitals and communities.

A Value-Based Comparison of the Management of Ambulatory Respiratory Diseases in Walk-in Clinics, Primary Care Practices, and Emergency Departments: Protocol for a Multicenter Prospective Cohort Study

BACKGROUND

In Canada, 30%-60% of patients presenting to emergency departments are ambulatory. This category has been labeled as a source of emergency department overuse. Acting on the presumption that primary care practices and walk-in clinics offer equivalent care at a lower cost, governments have invested massively in improving access to these alternative settings in the hope that patients would present there instead when possible, thereby reducing the load on emergency departments. Data in support of this approach remain scarce and equivocal.

OBJECTIVE

The aim of this study is to compare the value of care received in emergency departments, walk-in clinics, and primary care practices by ambulatory patients with upper respiratory tract infection, sinusitis, otitis media, tonsillitis, pharyngitis, bronchitis, influenza-like illness, pneumonia, acute asthma, or acute exacerbation of chronic obstructive pulmonary disease.

METHODS

A multicenter prospective cohort study will be performed in Ontario and Québec. In phase 1, a time-driven activity-based costing method will be applied at each of the 15 study sites. This method uses time as a cost driver to allocate direct costs (eg, medication), consumable expenditures (eg, needles), overhead costs (eg, building maintenance), and physician charges to patient care. Thus, the cost of a care episode will be proportional to the time spent receiving the care. At the end of this phase, a list of care process costs will be generated and used to calculate the cost of each consultation during phase 2, in which a prospective cohort of patients will be monitored to compare the care received in each setting. Patients aged 18 years and older, ambulatory throughout the care episode, and discharged to home with one of the aforementioned targeted diagnoses will be considered. The estimated sample size is 1485 patients. The 3 types of care settings will be compared on the basis of primary outcomes in terms of the proportion of return visits to any site 3 and 7 days after the initial visit and the mean cost of care. The secondary outcomes measured will include scores on patient-reported outcome and experience measures and mean costs borne wholly by patients. We will use multilevel generalized linear models to compare the care settings and an overlap weights approach to adjust for confounding factors related to age, sex, gender, ethnicity, comorbidities, registration with a family physician, socioeconomic status, and severity of illness.

RESULTS

Phase 1 will begin in 2021 and phase 2, in 2023. The results will be available in 2025.

CONCLUSIONS

The end point of our program will be for deciders, patients, and care providers to be able to determine the most appropriate care setting for the management of ambulatory emergency respiratory conditions, based on the quality and cost of care associated with each alternative.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

PRR1-10.2196/25619.

Abnormal Vital Sign Recognition and Provider Notification in the Pediatric Emergency Department

INTRODUCTION

Vital signs measurements aid in the early identification of patients at risk of clinical deterioration and determining the severity of illness. Health care providers rely on registered nurses to document vital signs and communicate abnormalities. The purpose of this project was to improve the provider notification process regarding abnormal vital signs in a pediatric emergency department.

METHOD

A best practice advisory (BPA) was piloted by the advanced practice providers in the pediatric emergency department. To evaluate the effects of the BPA, a mixed-methods study was employed.

RESULTS

Implementation of the BPA improved the provider notification process and enhanced clinical decision making. The percentage of patients discharged home with abnormal respiratory rates (10.9% vs. 5.9%, p = .31), abnormal temperatures (15.6% vs. 7.5%, p = .14), and abnormal heart rates (25% vs. 11.9%, p = .11) improved.

DISCUSSION

Creation and implementation of the BPA improved the abnormal vital sign communication process to providers at this single institution.

Current concepts of perioperative monitoring in high-risk surgical patients: a review

A substantial number of patients are at high-risk of intra- or post-operative complications or both. Most perioperative deaths are represented by patients who present insufficient physiological reserve to meet the demands of major surgery. Recognition and management of critical high-risk surgical patients require dedicated and effective teams, capable of preventing, recognize, start treatment with adequate support in time to refer patients to the satisfactory ICU level provision. The main task for health-care planners and managers is to identify and reduce this severe risk and to encourage patient’s safety practices. Inadequate tissue perfusion and decreased cellular oxygenation due to hypovolemia, heart dysfunction, reduced cardiovascular reserve, and concomitant diseases are the most common causes of perioperative complications. Hemodynamic, respiratory and careful sequential monitoring have become essential aspects of the clinical practice both for surgeons and intensivists. New monitoring techniques have changed significantly over the past few years and are now able to rapidly identify shock states earlier, define the etiology, and monitor the response to different therapies. Many of these techniques are now minimally invasive or non-invasive. Advanced hemodynamic and respiratory monitoring combines invasive, non-invasive monitoring skills. Non-invasive ultrasound has emerged during the last years as an essential operative and perioperative evaluation tool, and its use is now rapidly growing. Perioperative management guided by appropriate sequential clinical evaluation combined with respiratory and hemodynamic monitoring is an established tool to help clinicians to identify those patients at higher risk in the attempt to reduce the complications rate and potentially improve patient outcomes. This review aims to provide an update of currently available standard concepts and evolving technologies of the various respiratory and hemodynamic monitoring systems for the high-risk surgical patients, highlighting their potential usefulness when integrated with careful clinical evaluation.

A Discharge Vital Sign Documentation Improvement Initiative in the Pediatric Emergency Department

BACKGROUND AND OBJECTIVES

Vital signs are important data elements in the pediatric emergency department (PED). The presence of unexplained tachycardia at discharge has been associated with patient return to the PED and subsequent admission. Our aim for this study was to increase the percentage of patients discharged with a complete set of vital signs, when indicated, from 22% to 95% by June 30, 2018.

METHODS

A multidisciplinary team developed key drivers, and data were collected by using a retrospective chart review. Outcome measures were the percentage of patients with discharge vital signs and 72-hour returns to the PED. Balancing measures included PED length of stay (LOS) and hospital admissions. Data were compiled from a chart review 7 times monthly; all charts were of patients presenting to the PED during the days being reviewed. An annotated p-chart was used to analyze the data.

RESULTS

Data were collected for 18 months, including baseline data from July to September 2017, during which time 22% of patients had discharge vital signs. Targeted quality improvement methodology initially improved discharge vital signs to 41%, and then to 85%, which has been sustained for 7 months. There was no change in 72-hour return PED visits or LOS. Although absolute hospitalizations remained stable, the percentage of patients admitted increased.

CONCLUSIONS

Targeted quality improvement methodology is associated with sustained improvement of indicated discharge vital signs for patients discharged from the PED. This improvement was not associated with reduced return PED visits, prolonged LOS, or increased hospitalization.

Association of Vital Signs and Process Outcomes in Emergency Department Patients

Introduction

We sought to determine the association of abnormal vital signs with emergency department (ED) process outcomes in both discharged and admitted patients.

Methods

We performed a retrospective review of five years of operational data at a single site. We identified all visits for patients 18 and older who were discharged home without ancillary services, and separately identified all visits for patients admitted to a floor (ward) bed. We assessed two process outcomes for discharged visits (returns to the ED within 72 hours and returns to the ED within 72 hours resulting in admission) and two process outcomes for admitted patients (transfer to a higher level of care [intermediate care or intensive care] within either six hours or 24 hours of arrival to floor). Last-recorded ED vital signs were obtained for all patients. We report rates of abnormal vital signs in each group, as well as the relative risk of meeting a process outcome for each individual vital sign abnormality.

Results

Patients with tachycardia, tachypnea, or fever more commonly experienced all measured process outcomes compared to patients without these abnormal vitals; admitted hypotensive patients more frequently required transfer to a higher level of care within 24 hours.

Conclusion

In a single facility, patients with abnormal last-recorded ED vital signs experienced more undesirable process outcomes than patients with normal vitals. Vital sign abnormalities may serve as a useful signal in outcome forecasting.

Wireless vitals-Proof of concept for wireless patient monitoring in an emergency department setting

Vital sign assessment is a common task in emergency medicine, but resources for continuous monitoring are restricted, data is often recorded manually, and entangled wires cause frustration. Therefore, we designed a small, wireless photoplethysmographic device capable of continuously assessing pulse, respiratory frequency and oxygen saturation on the sternum and tested the performance and feasibility in an emergency department setting. Fifty (56.3 ± 20.2 years), consenting emergency patients (29 male) were recruited. Heart rate, respiratory rate and oxygen saturation were recorded simultaneously using the device and standard monitoring equipment. Data was compared using Bland-Altman plotting (heart rate, respiratory rate) and mean difference (oxygen saturation). The bias for heart- and respiratory rate was 0.4 (limits of agreements -11.3, 12.2 and -6.1, 7.0). Mean difference for oxygen saturation was -0.21 ± 2.35%. This may be the first wireless device to use photoplethysmography on the sternum for vital sign assessment. We noted good agreement with standard monitors, but lack of standardization in data processing between monitoring systems may limit the generalizability of these findings. Although further improvements are needed, the feasibility of this approach provides proof of concept for a new paradigm of large scale, wireless patient monitoring.