The impact of pediatric emergency department crowding on patient and health care system outcomes: a multicentre cohort study

Comparing Outcomes Between Direct and ED Admissions for Neonatal Hyperbilirubinemia

OBJECTIVES

Pediatric direct admissions (DA) have multiple benefits including reduced emergency department (ED) volumes, greater patient and provider satisfaction, and decreased costs without compromising patient safety. We sought to compare resource utilization and outcomes between patients with a primary diagnosis of neonatal hyperbilirubinemia directly admitted with those admitted from the ED.

METHODS

Single-center, retrospective study at a large, academic, free-standing children's hospital (2017-2021). Patients were between 24 hours and 14 days old with a gestational age of ≥35 weeks, admitted with a primary diagnosis of neonatal hyperbilirubinemia. Outcomes included length of stay (LOS), time to clinical care, resource utilization, NICU transfer, and 7-day readmission for phototherapy.

RESULTS

A total of 1098 patients were included, with 276 (25.1%) ED admissions and 822 (74.9%) DAs. DAs experienced a shorter median time to bilirubin level collection (1.9 vs 2.1 hours, P = .003), received less intravenous fluids (8.9% vs 51.4%, P < .001), had less bilirubin levels collected (median of 3.0 vs 4.0, P < .001), received phototherapy sooner (median of 0.8 vs 4.2 hours, P < .001), and had a shorter LOS (median of 21 vs 23 hours, P = .002). One patient who was directly admitted required transfer to the NICU. No differences were observed in the 7-day readmission rates for phototherapy.

CONCLUSIONS

Directly admitting patients for the management of neonatal hyperbilirubinemia is a preferred alternative to ED admission as our study demonstrated that DAs had a shorter time to clinical care, shorter LOS, and less unnecessary resource utilization with no difference in 7-day readmissions for phototherapy.

Acute care utilization for ambulatory care-sensitive conditions among publicly insured children

BACKGROUND

Although characteristics of preventable hospitalizations for ambulatory care-sensitive conditions (ACSCs) have been described, less is known about patterns of emergency and other acute care utilization for ACSCs among children who are not hospitalized. We sought to describe patterns of utilization for ACSCs according to the initial site of care and to determine characteristics associated with seeking initial care in an acute care setting rather than in an office. A better understanding of the sequence of health care utilization for ACSCs may inform efforts to shift care for these common conditions to the medical home.

METHODS

We performed a retrospective analysis of pediatric encounters for ACSCs between 2017 and 2019 using data from the IBM Watson MarketScan Medicaid database. The database includes insurance claims for Medicaid-insured children in 10 anonymized states. We assessed the initial sites of care for ACSC encounters, which were defined as either acute care settings (emergency or urgent care) or office-based settings. We used generalized estimating equations clustered on patient to identify associations between encounter characteristics and the initial site of care.

RESULTS

Among 7,128,515 encounters for ACSCs, acute care settings were the initial site of care in 27.9%. Diagnoses with the greatest proportion of episodes presenting to acute care settings were urinary tract infection (52.0% of episodes) and pneumonia (44.6%). Encounters on the weekend (adjusted odds ratio [aOR] 6.30, 95% confidence interval [CI] 6.27-6.34 compared with weekday) and among children with capitated insurance (aOR 1.55, 95% CI 1.54-1.56 compared with fee for service) were associated with increased odds of seeking care first in an acute care setting.

CONCLUSIONS

Acute care settings are the initial sites of care for more than one in four encounters for ACSCs among publicly insured children. Expanded access to primary care on weekends may shift care for ACSCs to the medical home.

The effects of vibration and pressure interventions on children's pain, fear and anxiety: A randomized controlled trial

AIM

The effects of vibration and pressure methods on the level of fear, anxiety, and pain of pediatric patients who were admitted to the emergency department for intramuscular injection were evaluated.

METHODS

This was a parallel group and a randomized controlled study conducted in Turkey. The study sample consisted of 114 children aged between 5 and 10 years who presented to the emergency department to receive intramuscular ceftriaxone injection as part of their treatment. The children were randomized into three groups: Vibration Intervention Group (n = 38), Pressure Intervention Group (n = 38) and Control Group (n = 38). Before the procedure, the level of anxiety and fear of the children were evaluated, and the level of perceived pain during the procedure was immediately evaluated after the intervention. Parents and nurses also rated the level of pain. Data were analyzed with non-parametric tests using SPSS version 26.0.

RESULTS

According to the evaluations made by children, mothers, and nurses, there was a significant difference between pain scores of children in the vibration and pressure intervention groups during the procedure and children in the control group (p < 0.000). There was a significant difference between anxiety and fear scores of children in the vibration and pressure groups and children in the control group before and after the intervention according to the evaluations of the children, mothers, and nurses (p < 0.000).

CONCLUSION

Vibration and pressure interventions used during intramuscular injections administered to children in the emergency department were found to reduce pain, anxiety, and fear based on the evaluations of children, mothers, and nurses.

PRACTICE IMPLICATIONS

Vibration and pressure are effective and useful in relieving pain associated with intramuscular injections in children aged between 5 and 10 years.

Rates of pediatric emergency department visits vary according to neighborhood marginalization in Ottawa, Canada

OBJECTIVES

To determine the association between neighborhood marginalization and rates of pediatric ED visits in Ottawa, Ontario. Secondary objectives investigated if the association between neighborhood marginalization and rates varied by year, acuity, and distance to hospital.

METHODS

We calculated rates of pediatric ED visits per 1000 person-years for census dissemination areas within 100 km of the Children's Hospital of Eastern Ontario for patients < 18 years old from January 2018 through December 2020. The 2016 Ontario Marginalization Index categorized neighborhoods along quintiles of residential instability, material deprivation, ethnic concentration, and dependency. Generalized mixed-effects models determined the incidence rate ratios of pediatric ED visits for each quintile of marginalization; multivariate models were used to control for year of presentation and distance to hospital. Analysis was repeated for low versus high acuity ED visits.

RESULTS

There were 154,146 ED visits from patients in 2055 census dissemination areas within 100 km of CHEO from 2018 to 2020. After controlling for year and distance from hospital in multivariate analyses, there were higher rates of pediatric ED visits for dissemination areas with high residential instability, high material deprivation, and low ethnic concentration. These findings did not change according to visit acuity.

CONCLUSIONS

Neighborhood residential instability and material deprivation should be considered when locating alternatives to emergency care.

Community healthcare appointments as an alternative to emergency department assessment: an exploration of family acceptability and preferences

PURPOSE

Pediatric emergency departments are overcrowded, in part due to many non-emergent visits. We aimed to assess the proportion of parents interested in leaving the pediatric emergency department (ED) prior to physician assessment if they could be offered a scheduled community healthcare appointment. We explored differences in care children received in the ED stratified by interest in a community healthcare appointment and parents' reasons when they were not interested.

METHODS

We conducted a 14-item survey within the pediatric ED at a Canadian tertiary care teaching hospital to assess parents' interest if a program offered community healthcare appointments and we determined preferred appointment characteristics. All parents presenting with children triaged as CTAS 2-5 who met eligibility criteria were approached by a research assistant prior to physician assessment. Surveys were paired with the medical chart outlining the care received. Descriptive statistics and a regression model were used to describe characteristics of families and care received among those who were and were not interested in a community healthcare appointment.

RESULTS

In total, 403 surveys were completed. Overall, 236 participants (58.6%; 95% CI 53.8-63.4) were interested in a community healthcare appointment. In general, parents who were interested in a community healthcare appointment were younger and presented with younger children compared to those who were not interested. Among those interested, there was a preference to have the appointment with a pediatrician or family physician, timely access to an appointment, and appointments scheduled outside of regular business hours.

CONCLUSION

Our study provides evidence that there is interest in an alternative care access model positioned to reduce pediatric ED congestion. We found that parents would be interested in leaving the pediatric ED in favor of a community healthcare appointment, provided it was with a physician and available in a timely manner.

Effect of the Children and Young People's Health Partnership model of paediatric integrated care on health service use and child health outcomes: a pragmatic two-arm cluster randomised controlled trial

BACKGROUND

Paediatric health systems across high-income countries are facing avoidable adverse outcomes and increasing demands and costs. The aim of this study was to compare the effect of an enhanced usual care model with that of an integrated health-care model that offers local health clinics for general paediatric problems and early intervention and care for children and young people with tracer conditions.

METHODS

In this pragmatic two-arm cluster randomised controlled trial, we compared the Children and Young People's Health Partnership (CYPHP) model of care versus enhanced usual care (EUC) among children registered at general practices in south London, UK. The CYPHP trial intervention was delivered between April 1, 2018, and June 30, 2021, and children younger than 16 years during the intervention period and registered at study practices on June 30, 2021, were included in the analysis. A restricted randomisation (1:1) following a computer-generated sequence was done by a masked independent statistician at the level of general practice cluster, stratified by borough (Lambeth or Southwark). Cluster allocation and data collection were masked, with unmasking of trial statisticians before analysis. The CYPHP model comprised all elements of EUC (electronic decision support, a primary care hotline, health checks, self-management support and health promotion, and resilience building and mental health first aid) plus local child health clinics delivered by paediatricians and general practitioners, and a nurse-led early intervention service for children with tracer conditions (asthma, eczema, and constipation). Primary outcomes were non-elective admissions (NELA; admissions coded as an emergency) among the whole trial population up to June 30, 2021, and paediatric quality of life (Pediatric Quality of Life Inventory [PedsQL]) among participants with tracer conditions at 6 months after recruitment. Secondary outcomes were primary and secondary care use, child mental health, parental wellbeing, standardised symptom scores for asthma, eczema, and constipation, health-care quality, and child absences from school and parent absences from work. The trial was registered on ClinicalTrials.gov, NCT03461848, and is complete.

FINDINGS

The trial was conducted between April 1, 2018, and Dec 31, 2021. In total, 23 general practice clusters, consisting of 70 practices with 97 970 registered children, were randomised to CYPHP (n=11) or EUC (n=12). We found no effect, at the population level, of CYPHP versus EUC on non-elective admissions during the intervention period (adjusted mean incidence rate ratio [IRR] 1·00 [95% CI 0·91 to 1·10], p=0·99). Among children with tracer conditions, we found no difference in paediatric quality of life (PedsQL score) at 6 months (adjusted mean difference -0·033 [95% CI -0·122 to 0·055], p=0·46). As a secondary outcome, among children with tracer conditions and requiring care, NELA rates at 12 months did not differ between the CYPHP and EUC groups (66·1 per 1000 person-years vs 75·3 per 1000 person-years; adjusted mean IRR 0·87 [0·61-1·22], p=0·42). In children requiring care, a statistically significant improvement was observed in eczema symptoms at 6 months from baseline in the CYPHP group versus the EUC group (adjusted mean difference -1·370 [-2·630 to -0·122], p=0·032). Quality of asthma care significantly improved among children in the CYPHP group compared with children in the EUC group. No significant improvement was seen for all other secondary outcomes.

INTERPRETATION

Although the CYPHP trial found a null effect for the primary outcomes, we found clinically important improvements in some secondary outcomes including care quality. Previous research has shown that large-scale system change requires time to observe a potential positive effect.

FUNDING

Guy's and St Thomas Charity, the Lambeth and Southwark Clinical Commissioning Groups, and Evelina London Children's Hospital.

Determining the Association Between Emergency Department Crowding and Debriefing After Pediatric Trauma Resuscitations

BACKGROUND

Debriefing in the pediatric emergency department (PED) is an invaluable tool to improve team well-being, communication, and performance. Despite evidence, surveys have reported heavy workload as a barrier to debriefing leading to missed opportunities for improvement in an already busy ED. The study aims to determine the association between the incidence of debriefing after pediatric trauma resuscitations and PED crowding.

METHODS

A total of 491 Trauma One activations in Riley Children's Hospital Pediatric Emergency Department that presented between April 2018 to December 2019 were included in the study. Debriefing documentations, patient demographics, time and date of presentation, mechanism of injury, injury severity score, disposition from PED, and length of stay (LOS) were collected and analyzed. The National Emergency Department Overcrowding Scale score at arrival, Average LOS, total PED census, total PED waiting room census, and rates of left without being seen were compared between groups.

RESULTS

Of 491 Trauma One activations presented to our PED, 50 (10%) trauma evaluations had documented debriefing. The National Emergency Department Overcrowding Scale score at presentation was significantly lower in those with debriefing versus without debriefing. In addition, the PED hourly census, waiting room census, average LOS, and left without being seen were also significantly lower in the group with debriefing. In addition, trauma cases with debriefing had a higher proportion of patients with profound injuries and discharges to the morgue.

CONCLUSIONS

Pediatric emergency department crowding is a significant barrier to debriefing after trauma resuscitations. However, profound injuries and traumatic pediatric deaths remain the strongest predictors in conducting debriefing regardless of PED crowding status.

Emergency department crowding: an overview of reviews describing measures causes, and harms

Crowding in Emergency Departments (EDs) has emerged as a global public health crisis. Current literature has identified causes and the potential harms of crowding in recent years. The way crowding is measured has also been the source of emerging literature and debate. We aimed to synthesize the current literature of the causes, harms, and measures of crowding in emergency departments around the world. The review is guided by the current PRIOR statement, and involved Pubmed, Medline, and Embase searches for eligible systematic reviews. A risk of bias and quality assessment were performed for each review, and the results were synthesized into a narrative overview. A total of 13 systematic reviews were identified, each targeting the measures, causes, and harms of crowding in global emergency departments. Key among the results is that the measures of crowding were heterogeneous, even in geographically proximate areas, and that temporal measures are being utilized more frequently. It was identified that many measures are associated with crowding, and the literature would benefit from standardization of these metrics to promote improvement efforts and the generalization of research conclusions. The major causes of crowding were grouped into patient, staff, and system-level factors; with the most important factor identified as outpatient boarding. The harms of crowding, impacting patients, healthcare staff, and healthcare spending, highlight the importance of addressing crowding. This overview was intended to synthesize the current literature on crowding for relevant stakeholders, to assist with advocacy and solution-based decision making.

Initial emergency department vital signs may predict PICU admission in pediatric patients presenting with asthma exacerbation

OBJECTIVE

Severe asthma exacerbations account for a large share of asthma morbidity, mortality, and costs. Here, we aim to identify early predictive factors associated with pediatric intensive care unit (PICU) admission.

METHODS

We performed a retrospective observational study of 5,185 emergency department (ED) encounters at a large children's hospital, including 86 (1.7%) resulting in PICU admission between 10/1/2015 and 8/7/2018 with ICD9/ICD10 codes for "asthma," "bronchospasm," or "wheezing." Vital signs and demographic information were obtained from electronic health record data and analyzed for each encounter. Predictive factors were identified using adjusted regression models, and our primary outcome was PICU admission.

RESULTS

Higher mean heart rates (HRs) and respiratory rates (RRs), and lower SpO2 within the first hour of ED presentation were independently associated with PICU admission. Odds of PICU admission increased 70% for each 10 beats/min higher HR, 125% for each 10 breaths/min higher RR, and 34% for each 5% lower SpO2. A binary predictive index using 1-h vitals yielded OR 13.4 (95% CI 8.1-22.1) for PICU admission, area under receiver operator characteristic (AUROC) curve 0.84 and overall accuracy of 80.1%. Results were largely unchanged (AUROC 0.84-0.88) after adjusting for surrogates of asthma severity and initial ED management. In combination with a secondary standardized clinical asthma distress score, positive predictive value increased by sevenfold (6.1%-46%).

CONCLUSIONS

A predictive index using HR, RR, and SpO2 within the first hour of ED presentation accurately predicted PICU admission in this cohort. Automated vital signs trend analysis may help identify vulnerable patients quickly upon presentation.

Modern Paediatric Emergency Department: Potential Improvements in Light of New Evidence

The increasing attendance of paediatric emergency departments has become a serious health issue. To reduce an elevated burden of medical errors, inevitably caused by a high level of stress exerted on emergency physicians, we propose potential areas for improvement in regular paediatric emergency departments. In an effort to guarantee the demanded quality of care to all incoming patients, the workflow in paediatric emergency departments should be sufficiently optimised. The key component remains to implement one of the validated paediatric triage systems upon the patient's arrival at the emergency department and fast-tracking patients with a low level of risk according to the triage system. To ensure the patient's safety, emergency physicians should follow issued guidelines. Cognitive aids, such as well-designed checklists, posters or flow charts, generally improve physicians' adherence to guidelines and should be available in every paediatric emergency department. To sharpen diagnostic accuracy, the use of ultrasound in a paediatric emergency department, according to ultrasound protocols, should be targeted to answer specific clinical questions. Combining all mentioned improvements might reduce the number of errors linked to overcrowding. The review serves not only as a blueprint for modernising paediatric emergency departments but also as a bin of useful literature which can be suitable in the paediatric emergency field.

Mental Health Revisits at US Pediatric Emergency Departments

Importance

Pediatric emergency department (ED) visits for mental health crises are increasing. Patients who frequently use the ED are of particular concern, as pediatric mental health ED visits are commonly repeat visits. Better understanding of trends and factors associated with mental health ED revisits is needed for optimal resource allocation and targeting of prevention efforts.

Objective

To describe trends in pediatric mental health ED visits and revisits and to determine factors associated with revisits.

Design, Setting, and Participants

In this cohort study, data were obtained from 38 US children's hospital EDs in the Pediatric Health Information System between October 1, 2015, and February 29, 2020. The cohort included patients aged 3 to 17 years with a mental health ED visit.

Exposures

Characteristics of patients, encounters, hospitals, and communities.

Main Outcomes and Measures

The primary outcome was a mental health ED revisit within 6 months of the index visit. Trends were assessed using cosinor analysis and factors associated with time to revisit using mixed-effects Cox proportional hazards regression.

Results

There were 308 264 mental health ED visits from 217 865 unique patients, and 13.2% of patients had a mental health revisit within 6 months. Mental health visits increased by 8.0% annually (95% CI, 4.5%-11.4%), whereas all other ED visits increased by 1.5% annually (95% CI, 0.1%-2.9%). Factors associated with mental health ED revisits included psychiatric comorbidities, chemical restraint use, public insurance, higher area measures of child opportunity, and presence of an inpatient psychiatric unit at the presenting hospital. Patients with psychotic disorders (hazard ratio [HR], 1.42; 95% CI, 1.29-1.57), disruptive or impulse control disorders (HR, 1.36; 95% CI, 1.30-1.42), and neurodevelopmental disorders (HR, 1.22; 95% CI, 1.14-1.30) were more likely to revisit. Patients with substance use disorders (HR, 0.60; 95% CI, 0.55-0.66) were less likely to revisit.

Conclusions and Relevance

Markers of disease severity and health care access were associated with mental health revisits. Directing hospital and community interventions toward identified high-risk patients is needed to help mitigate recurrent mental health ED use and improve mental health care delivery.

Machine Learning-Based Prediction of Hospital Admission Among Children in an Emergency Care Center

OBJECTIVES

Machine learning-based prediction of hospital admissions may have the potential to optimize patient disposition and improve clinical outcomes by minimizing both undertriage and overtriage in crowded emergency care. We developed and validated the predictive abilities of machine learning-based predictions of hospital admissions in a pediatric emergency care center.

METHODS

A prognostic study was performed using retrospectively collected data of children younger than 16 years who visited a single pediatric emergency care center in Osaka, Japan, between August 1, 2016, and October 15, 2019. Generally, the center treated walk-in children and did not treat trauma injuries. The main outcome was hospital admission as determined by the physician. The 83 potential predictors available at presentation were selected from the following categories: demographic characteristics, triage level, physiological parameters, and symptoms. To identify predictive abilities for hospital admission, maximize the area under the precision-recall curve, and address imbalanced outcome classes, we developed the following models for the preperiod training cohort (67% of the samples) and also used them in the 1-year postperiod validation cohort (33% of the samples): (1) logistic regression, (2) support vector machine, (3) random forest, and (4) extreme gradient boosting.

RESULTS

Among 88,283 children who were enrolled, the median age was 3.9 years, with 47,931 (54.3%) boys and 1985 (2.2%) requiring hospital admission. Among the models, extreme gradient boosting achieved the highest predictive abilities (eg, area under the precision-recall curve, 0.26; 95% confidence interval, 0.25-0.27; area under the receiver operating characteristic curve, 0.86; 95% confidence interval, 0.84-0.88; sensitivity, 0.77; and specificity, 0.82). With an optimal threshold, the positive and negative likelihood ratios were 4.22, and 0.28, respectively.

CONCLUSIONS

Machine learning-based prediction of hospital admissions may support physicians' decision-making for hospital admissions. However, further improvements are required before implementing these models in real clinical settings.

Pediatric emergency revisits of children with COVID-19

OBJECTIVE

This study was conducted to reveal the characteristics of pediatric emergency revisits of children with COVID-19 and the factors associated with clinical worsening and hospitalization at the revisit.

MATERIALS AND METHODS

In pediatric emergency visits of children between July 2020 and March 2021 with COVID-19, the patients who had a revisit within 7 days were included in the study. Demographic and clinical characteristics, test results, and the relationship of these variables with clinical worsening and hospitalization at the revisit were investigated.

RESULTS

In 6779 children with COVID-19, 284 (4.1%) patients included in the study. 51.8% of the patients were male, the median age was 11.1 years, and median time to revisit time was 2.0 days. The rates of clinical worsening and hospitalization were 9.1% and 14.7%, respectively. Children younger than 24 months and those with chronic diseases were more commonly hospitalized at the revisit. Though the frequency of laboratory and radiologic testing at the revisit was significantly increased compared to the first presentation, tests did not play an important role in the decision-making processes. More than 85% of patients were clinically mild at the first presentation and revisit.

CONCLUSIONS

Children with a diagnosis of COVID-19 can revisit the emergency without evident clinical worsening. Since revisits cause increase in frequency of laboratory and radiological testing, preventing unnecessary revisits of children with COVID-19 can reduce the workload and cost of health care services. We may consider changing our perspective on revisit patients to make decisions based on clinical findings instead of obtaining for more laboratory tests.

How safe are paediatric emergency departments? A national prospective cohort study

BACKGROUND

Despite the high number of children treated in emergency departments, patient safety risks in this setting are not well quantified. Our objective was to estimate the risk and type of adverse events, as well as their preventability and severity, for children treated in a paediatric emergency department.

METHODS

Our prospective, multicentre cohort study enrolled children presenting for care during one of 168 8-hour study shifts across nine paediatric emergency departments. Our primary outcome was an adverse event within 21 days of enrolment which was related to care provided at the enrolment visit. We identified 'flagged outcomes' (such as hospital visits, worsening symptoms) through structured telephone interviews with patients and families over the 21 days following enrolment. We screened admitted patients' health records with a validated trigger tool. For patients with flags or triggers, three reviewers independently determined whether an adverse event occurred.

RESULTS

We enrolled 6376 children; 6015 (94%) had follow-up data. Enrolled children had a median age of 4.3 years (IQR 1.6-9.8 years). One hundred and seventy-nine children (3.0%, 95% CI 2.6% to 3.5%) had at least one adverse event. There were 187 adverse events in total; 143 (76.5%, 95% CI 68.9% to 82.7%) were deemed preventable. Management (n=98, 52.4%) and diagnostic issues (n=36, 19.3%) were the most common types of adverse events. Seventy-nine (42.2%) events resulted in a return emergency department visit; 24 (12.8%) resulted in hospital admission; and 3 (1.6%) resulted in transfer to a critical care unit.

CONCLUSION

In this large-scale study, 1 in 33 children treated in a paediatric emergency department experienced an adverse event related to the care they received there. The majority of events were preventable; most were related to management and diagnostic issues. Specific patient populations were at higher risk of adverse events. We identify opportunities for improvement in care.

Variation in low-value radiograph use for children in the emergency department: a cross-sectional study of administrative databases

BACKGROUND

Radiograph use contributes to low-value care for children in emergency departments (EDs), but little is known about systemic factors associated with their use. This study compares low-value radiograph use across ED settings by hospital type, pediatric volumes and physician specialty.

METHODS

This is a cross-sectional study of routinely collected administrative data. We included children (age 0-18 yr) discharged from EDs in Ontario, Canada, between 2010 and 2019 with diagnoses of bronchiolitis, asthma, abdominal pain and constipation. Multiple clinical practice guidelines recommend against routine radiograph use in these conditions. Logistic regression evaluated odds of low-value radiograph by ED setting (pediatric academic [referent], adult academic, community with or without pediatric consultation services), pediatric volume and physician specialty (pediatric emergency medicine [PEM, referent], emergency medicine [EM], family medicine with EM training, pediatrics, family medicine), adjusting for demographic, clinical and provider characteristics. We used generalized estimating equations to account for clustering by ED.

RESULTS

Of the total 9 862 787 eligible pediatric ED discharges in Ontario, 60 914 children had bronchiolitis, 141 921 asthma, 333 332 abdominal pain and 110 514 constipation; 26.0% received low-value radiographs. Compared with pediatric EDs and PEM physicians (referents), patients with bronchiolitis were most likely to have a chest radiograph in adult academic EDs (adjusted odds ratio [OR] 5.1 [95% confidence interval (CI) 4.6-5.6]) and by family physicians with EM training (adjusted OR 4.8 [95% CI 4.5-5.1]). Patients with asthma were more likely to have a chest radiograph in adult academic EDs (adjusted OR 3.0 [95% CI 2.8-3.2]) and by EM physicians (adjusted OR 2.8 [95% CI 2.6-3.0]). Patients with abdominal pain and constipation were more likely to have abdominal radiographs in community hospitals with pediatric consultation (adjusted OR 1.6 [95% CI 1.6-1.7] and 2.3 [95% CI 2.3-2.4], respectively) and by family physicians with EM training (adjusted OR 1.6 [95% CI 1.6-1.7] and 2.1 [95% CI 2.0-2.2], respectively).

INTERPRETATION

Over the decade-long study period, low-value radiograph use was frequent for children with 4 common conditions seen in Ontario EDs. Quality improvement initiatives aimed at reducing unnecessary radiographs in children should focus on EM physicians practising in EDs that primarily treat adult patients.

Geographic inequalities in paediatric emergency department visits in Ontario and Alberta: a multilevel analysis of 2.5 million visits

Background

Research on intra- and inter-regional variations in emergency department (ED) visits among children can provide a better understanding of the patterns of ED utilization and further insight into how contextual features of the urban environment may be associated with these health events. Our objectives were to assess intra-urban and inter-urban variation in paediatric emergency department (PED) visits in census metropolitan areas (CMAs) in Ontario and Alberta, Canada and explore if contextual factors related to material and social deprivation, proximity to healthcare facilities, and supply of family physicians explain this variation.

Methods

A retrospective, population-based analysis of data on PED visits recorded between April 1, 2015 and March 31, 2017 was conducted. Random intercept multilevel regression models were constructed to quantify the intra- (between forward sortation areas [FSAs]) and inter- (between CMAs) variations in the rates of PED visits.

Results

In total, 2,537,442 PED visits were included in the study. The overall crude FSA-level rate of PED visits was 415.4 per 1,000 children population. Across CMAs, the crude rate of PED visits was highest in Thunder Bay, Ontario (771.6) and lowest in Windsor, Ontario (237.2). There was evidence of substantial intra- and inter-urban variation in the rates of PED visits. More socially deprived FSAs, FSAs with decreased proximity to healthcare facilities, and CMAs with a higher rate of family physicians per 1,000 children population had higher rates of PED visits.

Conclusions

The variation in rates of PED visits across CMAs and FSAs cannot be fully accounted for by age and sex distributions, material and social deprivation, proximity to healthcare facilities, or supply of family physicians. There is a need to explore additional contextual factors to better understand why some metropolitan areas have higher rates of PED visits.

Assessment of Machine Learning-Based Medical Directives to Expedite Care in Pediatric Emergency Medicine

IMPORTANCE

Increased wait times and long lengths of stay in emergency departments (EDs) are associated with poor patient outcomes. Systems to improve ED efficiency would be useful. Specifically, minimizing the time to diagnosis by developing novel workflows that expedite test ordering can help accelerate clinical decision-making.

OBJECTIVE

To explore the use of machine learning-based medical directives (MLMDs) to automate diagnostic testing at triage for patients with common pediatric ED diagnoses.

DESIGN, SETTING, AND PARTICIPANTS

Machine learning models trained on retrospective electronic health record data were evaluated in a decision analytical model study conducted at the ED of the Hospital for Sick Children Toronto, Canada. Data were collected on all patients aged 0 to 18 years presenting to the ED from July 1, 2018, to June 30, 2019 (77 219 total patient visits).

EXPOSURE

Machine learning models were trained to predict the need for urinary dipstick testing, electrocardiogram, abdominal ultrasonography, testicular ultrasonography, bilirubin level testing, and forearm radiographs.

MAIN OUTCOMES AND MEASURES

Models were evaluated using area under the receiver operator curve, true-positive rate, false-positive rate, and positive predictive values. Model decision thresholds were determined to limit the total number of false-positive results and achieve high positive predictive values. The time difference between patient triage completion and test ordering was assessed for each use of MLMD. Error rates were analyzed to assess model bias. In addition, model explainability was determined using Shapley Additive Explanations values.

RESULTS

There was a total of 42 238 boys (54.7%) included in model development; mean (SD) age of the children was 5.4 (4.8) years. Models obtained high area under the receiver operator curve (0.89-0.99) and positive predictive values (0.77-0.94) across each of the use cases. The proposed implementation of MLMDs would streamline care for 22.3% of all patient visits and make test results available earlier by 165 minutes (weighted mean) per affected patient. Model explainability for each MLMD demonstrated clinically relevant features having the most influence on model predictions. Models also performed with minimal to no sex bias.

CONCLUSIONS AND RELEVANCE

The findings of this study suggest the potential for clinical automation using MLMDs. When integrated into clinical workflows, MLMDs may have the potential to autonomously order common ED tests early in a patient's visit with explainability provided to patients and clinicians.

Pediatric ED departmental complexity: a different approach to the concept of ED crowding

OBJECTIVE

Emergency department (ED) crowding is a significant problem in Canada and internationally and is associated with the potential for patient harm. Although pediatric patients represent a significant proportion of overall ED visits, there is limited research on pediatric ED crowding. The Canadian Association of Emergency Physicians defines department crowding as a mismatch between the required and available resources to provide timely emergency care. We propose that rather than crowding, it is better to think of ED patient populations as being more or less "complex" as defined by proxies of the human and physical resources needed for patient management. The study objectives are to explore the utility of a simple and easily available retrospective metric of ED complexity, and to assess the relationship this measure has on patient outcomes in a pediatric ED.

METHODS

Using administrative data from a tertiary care pediatric ED, we developed a departmental complexity score based on patient registration number, triage acuity, and departmental length of stay as a proxy for the resources necessary to provide ED care. We then explored the relationship between this departmental complexity score and clinical care indices.

RESULTS

The score shows a strong relationship with the number of patients who left without being seen by a physician, as well as time to initial MD assessment, both measures which have been used to represent ED crowding in previous research. We found no association between our departmental complexity score and adverse impacts on patient care outcomes of hospital admission, pediatric ICU admission, or patients returning to the ED within 72 h of leaving.

CONCLUSIONS

The departmental complexity score has promise as a retrospective measure of departmental resource requirement and may have a role in the ongoing assessment of patient flow.

Association of County-Level Availability of Pediatricians With Emergency Department Visits

OBJECTIVES

The relationship between pediatrician availability and emergency department (ED) attendance is uncertain. We determined whether children in counties with more pediatricians had fewer ED visits.

METHODS

We conducted a cross-sectional study of all ED visits among children younger than 18 years from 6 states. We obtained ED visit incidences by county and assessed the relationship to pediatrician density (pediatricians per 1000 children). Possible confounders included state, presence of an urgent care facility in the county, urban-rural status, and quartile of county-level characteristics: English-speaking, Internet access, White race, socioeconomic status, and public insurance. We estimated county-level changes in incidence by pediatrician density adjusting for state and separately for all possible confounders.

RESULTS

Each additional pediatrician per 1000 children was associated with a 13.7% (95% confidence interval, -19.6% to -7.5%) decrease in ED visits in the state-adjusted model. In the full model, there was no association (-1.4%, 95% confidence interval, -7.2% to 4.8%). The presence of an urgent care, higher socioeconomic status score, urban status, and higher proportions of White race and nonpublic insurance were each associated with decreased ED visit rates.

CONCLUSIONS

Pediatrician density is not associated with decreased ED visits after adjusting for other county demographic factors. Increasing an area's availability of pediatricians may not affect ED attendance.

Validation of "Personal Protective Equipment Conservation Strategies Tool" to Predict Consumption of N95s, Facemasks, and Gowns During Pandemic-Related Shortages

We sought to prospectively validate a model to predict the consumption of personal protective equipment in a pediatric emergency department during the COVID-19 pandemic. We developed the Personal Protective Equipment Conservation Strategies Tool, a Monte Carlo simulation model with input parameters defined by members of our emergency department personal protective equipment task force. Inputs include different conservation strategies that reflect dynamic reuse policies. Over the course of 4 consecutive weeks in April and May 2020, we used the model to predict the consumption of N95 respirators, facemasks, and gowns in our emergency department based on values for each input parameter. At the end of each week, we calculated the percent difference between actual consumption and predicted consumption based on model outputs. Actual consumption of personal protective equipment was within 20% of model predictions for each of the 4 consecutive weeks for N95s (range, -16.3% to 16.1%) and facemasks (range, -7.6% to 13.1%), using "maximum conservation" and "high conservation" strategies, respectively. Actual consumption of gowns was 11.8% less than predicted consumption for Week 1, gown resupply data were unavailable on Weeks 2-4. The Personal Protective Equipment Conservation Strategies Tool was prospectively validated for "maximum conservation" and "high conservation" models, with actual consumption within 20% of model predictions.

The Dynamics of Patient Visits to a Public Hospital Pediatric Emergency Department: A Time-Series Model

BACKGROUND

The overcrowding of emergency departments (EDs) is an increasingly relevant public health problem. The main aims of this study were to identify and analyze temporal periodicities of a self-referred pediatric ED (PED), correlate them with meteorological and calendar variables and build a robust forecasting model.

METHODS

An 8-year administrative data set (2010-2017) of the daily number of admissions to the PED of a public hospital in Lisbon, Portugal, was used (n = 670,379). A time-series model of the daily number of visits was built, including temporal periodicities, the Portuguese school calendar, and a meteorological comfort index (humidex).

RESULTS

Several temporal cycles were identified: 1 year (peak in January/February related to respiratory infections in younger children and infants), 6 months (peaks in May and October with an increase in the admissions of older children and adolescents with trauma, gastrointestinal infections and atopic symptoms), 4 months (related to annual school vacations), 1 week (lower admission values on Saturday), and half a week (low from Friday to Monday morning). School calendar and humidex were significantly correlated with daily admissions. The model yielded a mean absolute percentage error of 10.7% ± 1.10% when cross-validation was performed for the full data set.

CONCLUSION

Although PED visits are multifactorial, they may be predicted and explained by a relatively small number of variables. Such a model may be easily reproduced in different settings and represents a relevant tool to improve quality in EDs through correctly adapting human resources to ED demand.

The Waiting Room Assessment to Virtual Emergency Department pathway: Initiating video-based telemedicine in the pediatric emergency department

The COVID-19 pandemic has presented pediatric emergency departments with unique challenges, resulting in a heightened demand for adapted clinical pathways. In response to this need, the Montreal Children's Hospital pediatric emergency department introduced the WAVE (Waiting Room Assessment to Virtual Emergency Department) pathway, a video-based telemedicine pathway for selected non-critical patients, aiming to reduce safety issues related to emergency department overcrowding, while providing timely care to all children presenting and registering at our emergency department. The objective of the WAVE pilot phase was to evaluate the feasibility and acceptability of telemedicine in our pediatric emergency department, which was previously unfamiliar with this mode of care delivery. During the six-week, three-evening per week deployment, we conducted 18 five-hour telemedicine shifts. In total, 27 patients participated in the WAVE pathway. Results from this pilot phase met four of five a priori feasibility and acceptability criteria. Overall, participating families were satisfied with this novel care pathway and reported no disruptive technological barriers.

Criticality index conducted in pediatric emergency department triage

OBJECTIVE

To develop and analyze the performance of a machine learning model capable of predicting the disposition of patients presenting to a pediatric emergency department (ED) based on triage assessment and historical information mined from electronic health records.

METHODS

We retrospectively reviewed data from 585,142 ED visits at a pediatric quaternary care institution between 2013 and 2020. An extreme gradient boosting machine learning model was trained on a randomly selected training data set (50%) to stratify patients into 3 classes: (1) high criticality (patients requiring intensive care unit [ICU] care within 4 h of hospital admission, patients who died within 4 h of admission, and patients who died in the ED); (2) moderate criticality (patients requiring hospitalization without the need for ICU care); and (3) low criticality (patients discharged home). Variables considered during model development included triage vital signs, aspects of triage nursing assessment, demographics, and historical information (diagnoses, medication use, and healthcare utilization). Historical factors were limited to the 6 months preceding the index ED visit. The model was tested on a previously withheld test data set (40%), and its performance analyzed.

RESULTS

The distribution of criticality among high, moderate, and low was 1.5%, 7.1%, and 91.4%, respectively. The one-versus-all area under the receiver operating characteristic (AUROC) curve for high and moderate criticality was 0.982 (95% CI 0.980, 0.983) and 0.968 (0.967, 0.969). The multi-class macro average AUROC and area under the receiver operating characteristic curve were 0.976 and 0.754. The features most integral to model performance included history of intravenous medications, capillary refill, emergency severity index level, history of hospitalization, use of a supplemental oxygen device, age, and history of admission to the ICU.

CONCLUSION

Pediatric ED disposition can be accurately predicted using information available at triage, providing an opportunity to improve quality of care and patient outcomes.

Crowding is the strongest predictor of left without being seen risk in a pediatric emergency department

BACKGROUND

Emergency Department (ED) patients who leave without being seen (LWBS) are associated with adverse safety and medico-legal consequences. While LWBS risk has been previously tied to demographic and acuity related factors, there is limited research examining crowding-related risk in the pediatric setting. The primary objective of this study was to determine the association between LWBS risk and crowding, using the National Emergency Department Overcrowding Score (NEDOCS) and occupancy rate as crowding metrics.

METHODS

We performed a retrospective observational study on electronic health record (EHR) data from the ED of a quaternary care children's hospital and trauma center during the 14-month study period. NEDOCS and occupancy rate were calculated for 15-min windows and matched to patient arrival time. We leveraged multiple logistic regression analyses to demonstrate the relationship between patientlevel LWBS risk and each crowding metric, controlling for characteristics drawn from the pre-arrival state. We performed a chi-squared test to determine whether a difference existed between the receiver operating characteristic (ROC) curves in the two models. Finally, we executed a dominance analysis using McFadden's pseudo-R 2 to determine the relative importance of each crowding metric in the models.

RESULTS

A total of 54,890 patient encounters were studied, 1.22% of whom LWBS. The odds ratio for LWBS risk was 1.30 (95% CI 1.27-1.33) per 10-point increase in NEDOCS and 1.23 (95% CI 1.21-1.25). per 10% increase in occupancy rate. Area under the curve (AUC) was 86.9% for the NEDOCS model and 86.7% for the occupancy rate model. There was no statistically significant difference between the AUCs of the two models (p-value 0.27). Dominance analysis revealed that in each model, the most important variable studied was its respective crowding metric; NEDOCS accounted for 55.6% and occupancy rate accounted for 53.9% of predicted variance in LWBS.

CONCLUSION

Not only was ED overcrowding positively and significantly associated with individual LWBS risk, but it was the single most important factor that determined a patient's likelihood of LWBS in the pediatric ED. Because occupancy rate and NEDOCS are available in real time, each could serve as a monitor for individual LWBS risk in the pediatric ED.

Adherence to national paediatric bronchiolitis management guidelines and impact on emergency department resource utilization

Objective

To evaluate the association between the use of nonrecommended pharmacology (salbutamol and corticosteroids) per national bronchiolitis guidelines, either during the index visit or at discharge, and system utilization measures (frequency of return visits [RTED] and on paediatric emergency department [PED] length of stay [LOS]).

Study Design

We conducted a retrospective case control study of 185 infants (≤12 months old) who presented to the PED between December 2014 and April 2017 and discharged home with a clinical diagnosis of bronchiolitis. Inclusion criteria included ≥ 1 viral prodromal symptom and ≥ 1 physical exam finding of respiratory distress. Cases were defined as infants who had ≥ 1 RTED within 7 days of their index visit and controls were matched for age and acuity but without RTED. Logistic regression analysis and multivariable linear regression were used to assess the odds of RTED and PED LOS associated with nonadherence to pharmaceutical recommendations per AAP and CPS bronchiolitis guidelines.

Results

Use of nonrecommended pharmacology per national bronchiolitis guidelines was documented among 39% of the 185 study participants. Adjusting for acuity of index visit, age, severe tachypnea, oxygen desaturation, and dehydration, use of nonrecommended pharmacology was not associated with RTED (odds ratio [OR]: 0.98, 95% confidence interval [CI]: 0.47 to 2.03). Use of salbutamol and corticosteroids, however, were each independently associated with increased PED LOS (58.3 minutes [P=0.01] and 116.7 minutes [P&lt;0.001], respectively).

Conclusion

Nonadherence to the pharmaceutical recommendations of national bronchiolitis guidelines was not associated with RTED but salbutamol and corticosteroid use increased PED LOS.

Multi-dimensional Measurements of Crowding for Pediatric Emergency Departments: A Systematic Review

The absence of accepted crowding measurement tools that encompass the unique characteristics of pediatric emergency departments (EDs) creates a deficit in advancing efforts to identify and evaluate solutions for this growing problem. In this systematic review, we examined 4 studies that reported on the development and testing of multidimensional pediatric ED crowding measurements. Two investigations involved models (PEDOCS, SOTU-PED) that measured factors indicative or contributory to crowding. A third investigation developed a model mapping the flow of patients through the pediatric ED. The final study modeled the magnitude of physician’s work load, particularly when this load is high when crowding is likely present, based on patient arrivals, presenting complaints and conditions, and tests ordered. These works from 4 studies on measuring crowding in pediatric EDs show promise, but this field is at an early stage. Future work should concentrate on comparing the utility of crowding measurements across multiple pediatric ED settings.

Using Queue Theory and Load-Leveling Principles to Identify a Simple Metric for Resource Planning in a Pediatric Emergency Department

Increased waiting time in pediatric emergency departments is a well-recognized and complex problem in a resource-limited US health care system. Efforts to reduce emergency department wait times include modeling arrival rates, acuity, process flow, and human resource requirements. The aim of this study was to investigate queue theory and load-leveling principles to model arrival rates and to identify a simple metric for assisting with determination of optimal physical space and human resource requirements. We discovered that pediatric emergency department arrival rates vary based on time of day, day of the week, and month of the year in a predictable pattern and that the hourly change in pediatric emergency department waiting room census may be useful as a simple metric to identify target times for shifting resources to better match supply and demand at no additional cost.

Virtual care in the pediatric emergency department: a new way of doing business?

Objectives

To understand the feasibility, utilization rate, and satisfaction of the first Virtual Pediatric ED (V-PED) in Canada.

Methods

We conducted a prospective cohort study examining the feasibility and impact of virtual care as an adjunct to in-person emergency care at a tertiary pediatric hospital from May to July 2020. Children (< 18 years) from Ontario and Quebec seeking V-PED care were included. A secure, encrypted, video platform within the hospital’s electronic medical record was used. Caregivers self-determined appropriateness of V-PED using a standardized online triage questionnaire to request their appointment. The V-PED is directly launched from the patient’s chart and the family joins the portal via hyperlink. Outcome measures included the number of V-PED visits, hospital admission rates, and caregiver satisfaction using a 10-item voluntary post-visit online survey.

Results

A total of 1036 V-PED visits were seen of which 176 (17.0%) were referred for further in-person ED assessment, and 8 (0.8%) required hospital admission. Of the 107 completing patient experience surveys (10% response), most respondents (69%) endorsed they “very likely” or “definitely” would have presented in-person to the ED if V-PED were unavailable. Overall satisfaction was rated as excellent (9 or 10 out of 10) in 87% of respondents.

Conclusion

Our novel V-PED is feasible, has high caregiver satisfaction, and can reduce the burden of in-person ED visits. Future work must ensure the safety of emergency virtual care and examine how to increase capacity and integrate V-PED within traditional emergency medicine.

Electronic supplementary material

The online version of this article (10.1007/s43678-020-00048-w) contains supplementary material, which is available to authorized users.

A Nested Mixed Effects Multicenter Model Examining the Risk Factors for Pediatric Trauma Return Visits Within 72 Hours

BACKGROUND

Return visits within 72 h are an important metric in evaluating the performance of emergency rooms. This has not been well studied in the pediatric trauma population. We sought to determine novel risk factors for return visits to the emergency department (ED) after trauma that may assist in identifying patients most at risk of revisit.

METHODS

We used the Cerner Health Facts Database to retrieve data from 34 EDs across the United States that care for pediatric trauma patients aged <15 y. The data consist of 610,845 patients and 816,571 ED encounters. We retrieved variables encompassing demographics, payor, current and past health care resource utilization, trauma diagnoses, other diagnoses/comorbidities, medications, and surgical procedures. We built a nested mixed effects logistic regression model to provide statistical inference on the return visits.

RESULTS

Traumas resulting from burns and corrosion, injuries to the shoulder and arms, injuries to the hip and legs, and trauma to the head and neck are all associated with increased odds of returning to the ED. Patients suffering from poisoning relating to drugs and other biological substances and patients with trauma to multiple body regions have reduced odds of returning to the ED. Longer ED length of stay and prior health care utilization (ED or inpatient) are associated with increased odds of a return visit. The sex of the patient and payor had a statistically significant effect on the risk of a return visit to the ED within 72 h of discharge.

CONCLUSIONS

Certain traumas expose patients to an increased risk for return visits to the ED and, as a result, provide opportunity for improved quality of care. Targeted interventions that include education, observation holds, or a decision to hospitalize instead of discharge home may help improve patient outcomes and decrease the rate of ED returns.

LEVEL OF EVIDENCE

III (Prognostic and Epidemiology).

Trends in Regionalization of Emergency Care for Common Pediatric Conditions

BACKGROUND

For children who cannot be discharged from the emergency department, definitive care has become less frequent at most hospitals. It is uncertain whether this is true for common conditions that do not require specialty care. We sought to determine how the likelihood of definitive care has changed for 3 common pediatric conditions: asthma, croup, and gastroenteritis.

METHODS

We used the Nationwide Emergency Department Sample database to study children <18 years old presenting to emergency departments in the United States from 2008 to 2016 with a primary diagnosis of asthma, croup, or gastroenteritis, excluding critically ill patients. The primary outcome was referral rate: the number of patients transferred among all patients who could not be discharged. Analyses were stratified by quartile of annual pediatric volume. We used logistic regression to determine if changes over time in demographics or comorbidities could account for referral rate changes.

RESULTS

Referral rates increased for each condition in all volume quartiles. Referral rates were greatest in the lowest pediatric volume quartile. Referral rates in the lowest pediatric volume quartile increased for asthma (13.6% per year; 95% confidence interval [CI] 5.6%-22.2%), croup (14.8% per year; 95% CI 2.6%-28.3%), and gastroenteritis (16.4% per year; 95% CI 3.5%-31.0%). Changes over time in patient age, sex, comorbidities, weekend presentation, payer mix, urban-rural location of presentation, or area income did not account for these findings.

CONCLUSIONS

Increasing referral rates over time suggest decreasing provision of definitive care and regionalization of inpatient care for 3 common, generally straightforward conditions.

Informing diversion strategy: A comparison of parent and general practitioner-referred paediatric patients presenting to a metropolitan hospital

OBJECTIVE

To determine whether the characteristics and outcomes of parent-referred children differ substantially from general practitioner (GP)-referred children attending a metropolitan ED.

METHODS

Prospective cross-sectional observational study of consecutive patients aged less than 16 years of age attending a mixed adult and paediatric metropolitan teaching hospital ED in Melbourne. Data collected included patient characteristics (age, sex, arrival mode and triage category) and outcomes (admission, specialty consultation, treatment time >1 h, intravenous or nasogastric therapy, procedural sedation, procedures, imaging studies and pathology collection).

RESULTS

The outcome data of 4580 patients was analysed. Patients brought by parents directly to the ED did not differ from patients referred by their GP in age, sex, or triage category, but were more likely to arrive by ambulance (13% vs 2%, P < 0.01). Low-urgency GP-referred children were more likely to require a procedure (22% vs 15%, risk difference [RD] 0.07, 95% confidence interval [CI] 0.02-0.13) and pathology tests (13% vs 8%, RD 0.05, 95% CI 0.01-0.1) than parent-referred children, but were similar for other outcomes. The proportion of low-urgency children who had no ED-specific care interventions was not significantly different between the groups (27% vs 32%, RD -0.06, 95% CI -0.11 to 0).

CONCLUSIONS

Children brought to ED directly by their parents or carers did not differ substantially from GP-referred children in their characteristics or outcomes. The use of referral source and triage categories to determine patient suitability for diversion to general practice may need to be reconsidered.

Learning from Patient Safety Incidents in the Emergency Department: A Systematic Review

BACKGROUND

Patient safety incidents are commonly observed in critical and high demanding care settings, including the emergency department. There is a need to understand what causes patient safety incidents in emergency departments and determine the implications for excellence in practice.

OBJECTIVE

Our aim was to systematically review the international literature on patient safety incidents in emergency departments and determine what can be learned from reported incidents to inform and improve practice.

DISCUSSION

Patient safety incidents in emergency departments have a number of recognized contributing factors. These can be used as groundwork for the development of effective tools to systematically identify incident risk. Participation in efforts to diminish risk and improve patient safety through appropriate incident reporting is critical for removing barriers to safe care.

CONCLUSIONS

This review enhances our awareness of contributing factors to patient safety incidents within emergency departments and encourages researchers from different disciplines to investigate the causes of practice errors and formulate safety improvement strategies.