Effects of external and internal factors on emergency department overcrowding

Factors associated with prolonged hospitalization among patients transported by emergency medical services: A population-based study in Osaka, Japan

The emergency medical system, one of the essential elements of public health, has been around for more than 50 years. Although many studies have assessed the factors associated with overcrowding and prolonged length of stay in emergency departments, whether the clinical characteristics and background of a patient are associated with prolonged hospitalization among patients transported by ambulance is unknown. The purpose of this study was to reveal factors associated with the continuation of hospitalization at 21 days after hospital admission among patients transported by ambulance using a population-based patient registry in Osaka, Japan.This was a retrospective observational study whose study period was the three years from January 2016 to December 2018. In this study, we included patients who were hospitalized after transportation by ambulance in Osaka, Japan. The main outcome was continuation of hospitalization at 21 days after hospital admission. We calculated the adjusted odds ratios (AOR) and 95% confidence interval (CI) with a multivariable logistic regression model to assess factors associated with the outcome.We included 481,886 patients in this study, of whom 158,551 remained hospitalized at 21 days after hospital admission and 323,335 had been discharged home by 21 days after hospital admission. Factors associated with prolonged hospitalization were elderly (AOR: 1.767 [95% CI: 1.730-1.805]), traffic accident (AOR: 1.231 [95% CI: 1.183-1.282]), no fixed address (AOR: 4.494 [95% CI: 3.632-5.314]), need for nursing care (AOR: 1.420 [95% CI: 1.397-1.443]) and solitary person (AOR: 1.085 [95% CI: 1.050-1.120]).In this study, the elderly, traffic accidents, no fixed address, need for nursing care, and solitary person were associated with prolonged hospitalization of patients transported by ambulance in Japan.

Robustness and Effectiveness of the Triage System in the Pediatric Context

BACKGROUND

The increasing use of emergency departments (EDs) potentially compromises their effectiveness and quality. The evaluation of the performance of the triage code system in a pediatric context is important because waiting time affects the quality of care for acutely ill patients.

OBJECTIVE

In this study, we aimed to assess the effectiveness and robustness of the triage code system in a pediatric context and identify the determinants of waiting times for urgent and non-urgent patients.

METHODS

Data regarding 37,767 pediatric patients who accessed the ED of a major Italian pediatric hospital in 2015 were investigated in order to study patient numbers and waiting times. The determinants of waiting times for urgent and non-urgent patients, as well as variables referring to the "supply side," such as periods of staff shortage, were analyzed using a survival analysis framework.

RESULTS

For urgent patients, the waiting time between triage and the first physician assessment is generally below the standard threshold of 15 min and this is not affected by the number of non-urgent patients waiting for care. Conversely, the waiting time for non-urgent patients is affected by ED flow, periods of staff shortage, and non-clinical variables (age and nationality).

CONCLUSION

Our results suggest that the triage level assignation system is effective in terms of safety for urgent patients. The current ED organization adequately fulfills its primary goal of providing healthcare for acutely ill patients.

Emergency Department Crowding Disparity: a Nationwide Cross-Sectional Study

In this study, we evaluated national differences in emergency department (ED) crowding to identify factors significantly associated with crowding in institutes and communities across Korea. This was a cross-sectional nationwide observational study using data abstracted from the National Emergency Department Information System (NEDIS). We calculated mean occupancy rates to quantify ED crowding status and divided EDs into three groups according to their occupancy rates (cutoffs: 0.5 and 1.0). Factors potentially related to ED crowding were collected from the NEDIS. We performed a multivariate regression analysis to identify variables significantly associated with ED crowding. A total of 120 EDs were included in the final analysis. Of these, 73 were categorized as 'low crowded' (LC, occupancy rate < 0.50), 37 as 'middle crowded' (MC, 0.50 ≤ occupancy rate < 1.00), 10 EDs as 'high crowded' (HC, 1.00 ≤ occupancy rate). The mean ED occupancy rate varied widely, from 0.06 to 2.33. The median value was 0.39 with interquartile ranges (IQRs) from 0.20 to 0.71. Multivariate analysis revealed that after adjustment, ED crowding was significantly associated with the number of visits, percentage of patients referred, number of nurses, and ED disposition. This nationwide study observed significant variety in ED crowding. Several input, throughput, and output factors were associated with crowding.

An Analysis of Intravenous Catheter Placement Among Patients in a Pediatric Emergency Department

OBJECTIVES

Pediatric emergency departments (PED) are overcrowded and at times inefficient with malaligned resources, especially regarding the use of intravenous (IV) catheters which are placed frequently, yet may be underused. This study seeks to determine which pediatric patients are more likely to need IV access in a PED.

METHODS

This retrospective study examined patients 3 days to 21 years seen in a tertiary PED from January 1, 2013, to February 28, 2013, who were triaged using the Emergency Severity Index, levels 1 to 3. Extracted data included age, chief complaints, chronic medical conditions, final diagnoses, evidence of venipuncture, and IV placement and usage. Patients were excluded if they entered the PED with an IV or central venous catheter, were older than 21 years, or had charts with missing data.

RESULTS

Four thousand three hundred twenty-two patients were initially evaluated, and 122 patients were excluded. Mean age of the patients was 6.2 years (SD = 5.65), most common triage was level 3 (urgent), and the majority of patients (n = 2898, 69.0%) did not have a chronic medical condition. Five hundred forty-five (13%) had IVs placed, and of those, 152 (27.9%) had IVs placed and not used. Patients triaged as critical or emergent, patients older than 10 years, and those with a gastrointestinal chief complaint and chronic medical conditions involving hematology, oncology/immunology, or endocrinology were most likely to have an IV placed and used.

CONCLUSIONS

Patients with higher acuities, specified systemic complaints, certain chronic medical conditions, and patients older than 10 years are more likely to need an IV.

The Impact of Ambulance and Patient Diversion on Crowdedness of Multiple Emergency Departments in a Region

Emergency department (ED) overcrowding threatens healthcare quality. Ambulance diversion (AD) may relieve ED overcrowding; however, diverting patients from an overcrowded ED will load neighboring EDs with more patients and may result in regional overcrowding. The purpose of this study was to evaluate the impact of different diversion strategies on the crowdedness of multiple EDs in a region. The importance of regional coordination was also explored. A queuing model for patient flow was utilized to develop a computer program for simulating AD among EDs in a region. Key parameters, including patient arrival rates, percentages of patients of different acuity levels, percentage of patients transported by ambulance, and total resources of EDs, were assigned based on real data. The crowdedness indices of each ED and the regional crowdedness index were assessed to evaluate the effectiveness of various AD strategies. Diverting patients equally to all other EDs in a region is better than diverting patients only to EDs with more resources. The effect of diverting all ambulance-transported patients is similar to that of diverting only low-acuity patients. To minimize regional crowdedness, ambulatory patients should be sent to proper EDs when AD is initiated. Based on a queuing model with parameters calibrated by real data, patient flows of EDs in a region were simulated by a computer program. From a regional point of view, randomly diverting ambulatory patients provides almost no benefit. With regards to minimizing the crowdedness of the whole region, the most promising strategy is to divert all patients equally to all other EDs that are not already crowded. This result implies that communication and coordination among regional hospitals are crucial to relieve overall crowdedness. A regional coordination center may prioritize AD strategies to optimize ED utility.

Best practices for improving flow and care of pediatric patients in the emergency department

This report provides a summary of best practices for improving flow, reducing waiting times, and improving the quality of care of pediatric patients in the emergency department.

Time series modelling and forecasting of emergency department overcrowding

Efficient management of patient flow (demand) in emergency departments (EDs) has become an urgent issue for many hospital administrations. Today, more and more attention is being paid to hospital management systems to optimally manage patient flow and to improve management strategies, efficiency and safety in such establishments. To this end, EDs require significant human and material resources, but unfortunately these are limited. Within such a framework, the ability to accurately forecast demand in emergency departments has considerable implications for hospitals to improve resource allocation and strategic planning. The aim of this study was to develop models for forecasting daily attendances at the hospital emergency department in Lille, France. The study demonstrates how time-series analysis can be used to forecast, at least in the short term, demand for emergency services in a hospital emergency department. The forecasts were based on daily patient attendances at the paediatric emergency department in Lille regional hospital centre, France, from January 2012 to December 2012. An autoregressive integrated moving average (ARIMA) method was applied separately to each of the two GEMSA categories and total patient attendances. Time-series analysis was shown to provide a useful, readily available tool for forecasting emergency department demand.

Managing emergency department overcrowding via ambulance diversion: a discrete event simulation model

BACKGROUND/PURPOSE

Ambulance diversion (AD) is considered one of the possible solutions to relieve emergency department (ED) overcrowding. Study of the effectiveness of various AD strategies is prerequisite for policy-making. Our aim is to develop a tool that quantitatively evaluates the effectiveness of various AD strategies.

METHODS

A simulation model and a computer simulation program were developed. Three sets of simulations were executed to evaluate AD initiating criteria, patient-blocking rules, and AD intervals, respectively. The crowdedness index, the patient waiting time for service, and the percentage of adverse patients were assessed to determine the effect of various AD policies.

RESULTS

Simulation results suggest that, in a certain setting, the best timing for implementing AD is when the crowdedness index reaches the critical value, 1.0 - an indicator that ED is operating at its maximal capacity. The strategy to divert all patients transported by ambulance is more effective than to divert either high-acuity patients only or low-acuity patients only. Given a total allowable AD duration, implementing AD multiple times with short intervals generally has better effect than having a single AD with maximal allowable duration.

CONCLUSION

An input-throughput-output simulation model is proposed for simulating ED operation. Effectiveness of several AD strategies on relieving ED overcrowding was assessed via computer simulations based on this model. By appropriate parameter settings, the model can represent medical resource providers of different scales. It is also feasible to expand the simulations to evaluate the effect of AD strategies on a community basis. The results may offer insights for making effective AD policies.

Predictive variables of an emergency department quality and performance indicator: a 1-year prospective, observational, cohort study evaluating hospital and emergency census variables and emergency department time interval measurements

OBJECTIVE

Emergency department (ED) crowding impacts negatively on quality of care. The aim was to determine the association between ED quality and input, throughput and output-associated variables.

METHODS

This 1-year, prospective, observational, cohort study determined the daily percentage of patients leaving the ED in <4 h (ED quality and performance indicator; EDQPI). According to the median EDQPI two groups were defined: best-days and bad-days. Hospital and ED variables and time interval metrics were evaluated as predictors.

RESULTS

Data were obtained for 67 307 patients over 364 days. Differences were observed between the two groups in unadjusted analysis: number of daily visits, number of patients as a function of final disposition, number boarding in the ED, and time interval metrics including wait time to triage nurse and ED provider, time from ED admission to decision, time from decision to departure and length of stay (LOS) as a function of final disposition. Five variables remained significant predictors for bad-days in multivariate analysis: wait time to triage nurse (OR 2.36; 95% CI 1.36 to 4.11; p=0.002), wait time to ED provider (OR 1.93; 95% CI 1.05 to 3.54; p=0.03), number of patients admitted to hospital (OR 1.86; 95% CI 1.09 to 3.19; p=0.02), LOS of non-admitted patients (OR 9.5; 95% CI 5.17 to 17.48; p<0.000001) and LOS of patients admitted to hospital (OR 2.46; 95% CI 1.44 to 4.2; p=0.0009).

CONCLUSIONS

Throughput is the major determinant of EDQPI, notably time interval reflecting the work dynamics of medical and nursing teams and the efficacy of fast-track routes for low-complexity patients. Output also significantly impacted on EDQPI, particularly the capacity to reduce the LOS of admitted patients.

Length of stay of pediatric mental health emergency department visits in the United States

OBJECTIVE

To compare pediatric mental health emergency department visits to other pediatric emergency department visits, focusing on length of stay.

METHOD

We analyzed data from the National Hospital Ambulatory Medical Care Survey, a nationally representative sample of US emergency department visits from 2001 to 2008, for patients aged ≤18 years (n = 73,015). Visits with a principal diagnosis of a mental disorder (n = 1,476) were compared to visits (n = 71,539) with regard to patient and hospital characteristics, treatment, and length of stay. Predictors of prolonged mental health visits were identified.

RESULTS

Mental health visits were more likely than other visits to arrive by ambulance (21.8% versus 6.3%, p < .001), to be triaged to rapid evaluation (27.9% versus 14.9%, p < .001), and to be admitted (16.4% versus 7.6%, p < .001) or transferred (15.7% versus 1.5%, p < .001). The median length of stay for mental health visits (169 minutes) significantly exceeded that of other visits (108 minutes). The odds of extended stay beyond 4 hours for mental health visits was almost twice that for other visits (adjusted odds ratio 1.9, 95% CI = 1.5-2.4) and was not explained by observed differences in evaluation, treatment, or disposition. Among mental health visits, advancing calendar year of study, intentional self-injury, age 6-13 years, Northeastern, Southern, and metropolitan hospital location, use of laboratory studies, and patient transfer all predicted extended stays.

CONCLUSIONS

Compared with other pediatric emergency visits, mental health visits are longer, are more frequently triaged to urgent evaluation, and more likely to result in patient admission or transfer, thereby placing distinctive burdens on US emergency departments.

State of emergency medicine in Spain

Spain has universal public health care coverage. Emergency care provisions are offered to patients in different modalities and levels according to the characteristics of the medical complaint: at primary care centers (PCC), in an extrahospital setting by emergency medical services (EMS) and at hospital emergency departments (ED). We have more than 3,000 PCCs, which are run by family doctors (general practitioners) and pediatricians. On average, there is 1 PCC for every 15,000 to 20,000 inhabitants, and every family doctor is in charge of 1,500 to 2,000 citizens, although less populated zones tend to have lower ratios. Doctors spend part of their duty time in providing emergency care to their own patients. While not fully devoted to emergency medicine (EM) practice, they do manage minor emergencies. However, Spanish EMSs contribute hugely to guarantee population coverage in all situations. These EMS are run by EM technicians (EMT), nurses and doctors, who usually work exclusively in the emergency arena. EDs dealt with more than 25 million consultations in 2008, which implies, on average, that one out of two Spaniards visited an ED during this time. They are usually equipped with a wide range of diagnostic tools, most including ultrasonography and computerized tomography scans. The academic and training background of doctors working in the ED varies: nearly half lack any structured specialty residence training, but many have done specific master or postgraduate studies within the EM field. The demand for emergency care has grown at an annual rate of over 4% during the last decade. This percentage, which was greater than the 2% population increase during the same period, has outpaced the growth in ED capacity. Therefore, Spanish EDs become overcrowded when the system exerts minimal stress. Despite the high EM caseload and the potential severity of the conditions, training in EM is still unregulated in Spain. However, in April 2009 the Spanish Minister of Health announced the imminent approval of an EM specialty, allowing the first EM resident to officially start in 2011. Spanish emergency physicians look forward to the final approval, which will complete the modernization of emergency health care provision in Spain.

Emergency department throughput, crowding, and financial outcomes for hospitals

Emergency department (ED) crowding has been identified as a major public health problem in the United States by the Institute of Medicine. ED crowding not only is associated with poorer patient outcomes, but it also contributes to lost demand for ED services when patients leave without being seen and hospitals must go on ambulance diversion. However, somewhat paradoxically, ED crowding may financially benefit hospitals. This is because ED crowding allows hospitals to maximize occupancy with well-insured, elective patients while patients wait in the ED. In this article, the authors propose a more holistic model of hospital flow and revenue that contradicts this notion and offer suggestions for improvements in ED and hospital management that may not only reduce crowding and improve quality, but also increase hospital revenues. Also proposed is that increased efficiency and quality in U.S. hospitals will require changes in systematic microeconomic and macroeconomic incentives that drive the delivery of health services in the United States. Finally, the authors address several questions to propose mutually beneficial solutions to ED crowding that include the realignment of hospital incentives, changing culture to promote flow, and several ED-based strategies to improve ED efficiency.

Understanding interdepartmental and organizational work in the emergency department: an ethnographic approach

Social scientific and nursing studies, and the experiences of emergency department staff, have attested to the complex organisational and communicative work that accompanies emergency clinical work. Yet, little attention has been paid to developing a research framework to examine and develop communicative and organisational work in emergency departments (EDs). This paper explores the role of nurses in plugging gaps in the care of ED patients, and summarises the findings of a large, 3-year ethnographic study comprising 12 months of ethnography in two EDs in Sydney, Australia, and 2 years of analysis. The findings of the large study are summarised and exemplified here as part of a broader conceptual argument for the importance of ethnographic research in EDs. Ethnography involves capturing the moment-to-moment action of life when and where it happens, and in the context of, reflecting and amending, broader social patterns. The findings report on the relationship of communication, organisational and, in particular, interdepartmental and interorganizational work, to emergency clinical work and demonstrate that nurses play an important role in articulating and reconciling patients' and medical staff activities. The paper concludes that emergency nurses are well placed to use ethnographic research to advance the understanding and delivery of emergency care.

Predicting bacteremic pneumonia in HIV-1-infected patients consulting the ED

INTRODUCTION

HIV-1-infected patients have higher incidence of community-acquired pneumonia (CAP) and risk of complications. Bacteremia has been associated with a higher risk of complications in such patients. We investigated factors associated with bacteremia in HIV-1-infected patients with CAP presenting at the emergency department.

METHODS

We included HIV-1-infected patients with CAP for 3 years (March 2005-February 2008). Only patients in whom blood cultures were performed were finally included. Clinical data (age; sex; CD4(+) count; serum HIV viral load; previous or current intravenous drug use and antiretroviral treatment; systolic blood pressure; and cardiac and respiratory rates), analytical data (leukocyte count, arterial oxygen content, C-reactive protein value, and urgent Streptococcus pneumoniae and Legionella spp antigen urine detection), and APACHE-II (Acute Physiology and Chronic Health Evaluation) score were compiled. The need for intensive care unit admission, mechanical ventilation, mortality, and for patients finally discharged, duration of admission were retrospectively obtained from the clinical history. A multivariate analysis using logistic regression was performed to find independent predictors of bacteremia.

RESULTS

We diagnosed 129 HIV-1-infected patients with CAP. Blood cultures were performed in 118 cases (91%). Bacteremia was present in 28 (24%). Independent predictors of bacteremia were the detection of S pneumoniae antigen in urine (odds ratio, 9.0; 95% confidence interval, 1.9-42.0) and the absence of current antiretroviral treatment (odds ratio, 7.1; 95% confidence interval, 1.4-33.3). In-hospital mortality was higher in patients with bacteremia (15% vs 0%).

CONCLUSION

HIV-1-infected patients with CAP who are not on current antiretroviral therapy and have positive S pneumoniae antigenuria are at increased risk of having bacteremia. Bacteremic patients have a poor outcome.

Forecasting emergency department crowding: an external, multicenter evaluation

STUDY OBJECTIVE

We apply a previously described tool to forecast emergency department (ED) crowding at multiple institutions and assess its generalizability for predicting the near-future waiting count, occupancy level, and boarding count.

METHODS

The ForecastED tool was validated with historical data from 5 institutions external to the development site. A sliding-window design separated the data for parameter estimation and forecast validation. Observations were sampled at consecutive 10-minute intervals during 12 months (n=52,560) at 4 sites and 10 months (n=44,064) at the fifth. Three outcome measures-the waiting count, occupancy level, and boarding count-were forecast 2, 4, 6, and 8 hours beyond each observation, and forecasts were compared with observed data at corresponding times. The reliability and calibration were measured following previously described methods. After linear calibration, the forecasting accuracy was measured with the median absolute error.

RESULTS

The tool was successfully used for 5 different sites. Its forecasts were more reliable, better calibrated, and more accurate at 2 hours than at 8 hours. The reliability and calibration of the tool were similar between the original development site and external sites; the boarding count was an exception, which was less reliable at 4 of 5 sites. Some variability in accuracy existed among institutions; when forecasting 4 hours into the future, the median absolute error of the waiting count ranged between 0.6 and 3.1 patients, the median absolute error of the occupancy level ranged between 9.0% and 14.5% of beds, and the median absolute error of the boarding count ranged between 0.9 and 2.8 patients.

CONCLUSION

The ForecastED tool generated potentially useful forecasts of input and throughput measures of ED crowding at 5 external sites, without modifying the underlying assumptions. Noting the limitation that this was not a real-time validation, ongoing research will focus on integrating the tool with ED information systems.

Emergency department patient flow: the influence of hospital census variables on emergency department length of stay

OBJECTIVES

The objective was to evaluate the association between hospital census variables and emergency department (ED) length of stay (LOS). This may give insights into future strategies to relieve ED crowding.

METHODS

This multicenter cohort study captured ED LOS and disposition for all ED patients in five hospitals during five 1-week study periods. A stepwise multiple regression analysis was used to examine associations between ED LOS and various hospital census parameters.

RESULTS

Data were analyzed on 27,325 patients on 161 study days. A significant positive relationship was demonstrated between median ED LOS and intensive care unit (ICU) census, cardiac telemetry census, and the percentage of ED patients admitted each day. There was no relationship in this cohort between ED LOS and ED volume, total hospital occupancy rate, or the number of scheduled cardiac or surgical procedures.

CONCLUSIONS

In multiple hospital settings, ED LOS is correlated with the number of admissions and census of the higher acuity nursing units, more so than the number of ED patients each day, particularly in larger hospitals with busier EDs. Streamlining ED admissions and improving availability of inpatient critical care beds may reduce ED LOS.

An independent evaluation of four quantitative emergency department crowding scales

BACKGROUND

Emergency department (ED) overcrowding has become a frequent topic of investigation. Despite a significant body of research, there is no standard definition or measurement of ED crowding. Four quantitative scales for ED crowding have been proposed in the literature: the Real-time Emergency Analysis of Demand Indicators (READI), the Emergency Department Work Index (EDWIN), the National Emergency Department Overcrowding Study (NEDOCS) scale, and the Emergency Department Crowding Scale (EDCS). These four scales have yet to be independently evaluated and compared.

OBJECTIVES

The goals of this study were to formally compare four existing quantitative ED crowding scales by measuring their ability to detect instances of perceived ED crowding and to determine whether any of these scales provide a generalizable solution for measuring ED crowding.

METHODS

Data were collected at two-hour intervals over 135 consecutive sampling instances. Physician and nurse agreement was assessed using weighted kappa statistics. The crowding scales were compared via correlation statistics and their ability to predict perceived instances of ED crowding. Sensitivity, specificity, and positive predictive values were calculated at site-specific cut points and at the recommended thresholds.

RESULTS

All four of the crowding scales were significantly correlated, but their predictive abilities varied widely. NEDOCS had the highest area under the receiver operating characteristic curve (AROC) (0.92), while EDCS had the lowest (0.64). The recommended thresholds for the crowding scales were rarely exceeded; therefore, the scales were adjusted to site-specific cut points. At a site-specific cut point of 37.19, NEDOCS had the highest sensitivity (0.81), specificity (0.87), and positive predictive value (0.62).

CONCLUSIONS

At the study site, the suggested thresholds of the published crowding scales did not agree with providers' perceptions of ED crowding. Even after adjusting the scales to site-specific thresholds, a relatively low prevalence of ED crowding resulted in unacceptably low positive predictive values for each scale. These results indicate that these crowding scales lack scalability and do not perform as designed in EDs where crowding is not the norm. However, two of the crowding scales, EDWIN and NEDOCS, and one of the READI subscales, bed ratio, yielded good predictive power (AROC >0.80) of perceived ED crowding, suggesting that they could be used effectively after a period of site-specific calibration at EDs where crowding is a frequent occurrence.

Estimación de la actividad en urgencias y su relación con la provisión de camas de hospitalización

BACKGROUND AND OBJECTIVE

To find out if the daily emergency department (ED) census and daily ED admittances can accurately be foreseen based on the number of visits arrived on ED within the first shift hours.

PATIENTS AND METHOD

For 6 consecutively months, the number of ED visits from 6 AM to 10 AM (early visits), and from 10 AM to next day 6 AM (daily ED census) was recorded, along with the number of both daily hospital and ED admittances from 6 AM to 6 AM. The analysis was performed for the ED as a whole, and for each one of its sections.

RESULTS

A significant direct correlation was seen between the early visits and daily ED census. This relationship was even greater as considered the ED as a whole (R2 = 0.25; p < 0.001). A direct correlation was also found between daily ED census and daily admittances (R2 = 0.19; p < 0.001).

CONCLUSIONS

The number of early ED visits is an important tool to accurately predict the daily ED census and the number of in-hospital beds needed for ED patients.

Unscheduled returns to the emergency department: an outcome of medical errors?

BACKGROUND

The causes of unscheduled returns to the emergency department (ED) within 72 hours of discharge are unclear. A study was undertaken to identify factors associated with this quality care indicator.

METHODS

250 cases and 250 controls from the ED were prospectively studied. Outcomes measured were unscheduled returns, post-ED destination, and patient dissatisfaction. Possible medical errors (in diagnosis, treatment, prognosis or patient information) and errors in follow up care were identified. Other factors examined included chief complaint at presentation, discharge diagnosis, level of triage, category of treating physician, observation or not, application of emergency treatment, ancillary studies, accessibility to ED, ED time band or work shift, day of the week, past medical history, and demographic data (age, sex, educational level and economic status).

RESULTS

The main factor associated with unscheduled returns was error in prognosis (odds ratio 18.62, 95% CI 9.60 to 36.09). Advanced age and a chief complaint of dyspnoea were also associated with unscheduled returns and with admission to hospital. Post-ED destination worsened by 0.61 (95% CI 0.33 to 0.90) with diagnostic errors and by 0.60 (95% CI 0.30 to 0.90) with errors in follow up care. Patient dissatisfaction increased by 0.68 (95% CI 0.55 to 0.80) with information errors, by 0.63 (95% CI 0.17 to 1.09) with errors in follow up care, and by 0.52 (95% CI 0.09 to 0.94) with diagnostic errors.

CONCLUSION

Unscheduled returns are associated with medical errors in prognosis, treatment, follow up care, and information. A worse post-ED destination is associated with these medical errors and patient factors (dyspnoea and advanced age). Patient dissatisfaction is associated with medical errors, level of triage or care zone, patient educational level and ED time work shift. Most of these factors are modifiable.

How does fast track affect quality of care in the emergency department?

STUDY OBJECTIVES

Use of fast track has been shown to improve the emergency department flow of less urgent patients. It has been speculated, however, that this could negatively affect the care of urgent patients. The objective of this study was to determine whether a dedicated fast track for less urgent patients [Canadian Triage and Acuity scale category 4/5 (CTAS 4/5)] affected (1) the time to assessment for urgent patients (CTAS 3), (2) the length of stay for less urgent patients (CTAS 4 and 5), and (3) the left-without-being-seen rate.

METHODS

In June 2003, fast track was opened in our emergency department from 13:00 to 19:00 h. A before-after intervention comparison analysis was completed for 1 week in Aug 2002 and the same week in Aug 2003. Data collected included (1) time to assessment of CTAS 3 patients, (2) the length of stay for CTAS 4/5 patients, and (3) percentage of patients who left without being seen.

RESULTS

A total of 368 patients were reviewed for 2002 and 380 patients were reviewed for 2003. Median time to assessment of CTAS 3 patients presenting from 13:00 to 19:00 h was reduced from 66 min (Interquartile range: 40, 94 min) in 2002 to 60 min (IQR: 38, 108 min) after fast track was open in 2003 (P = 0.95). Median length of stay of CTAS 4 and 5 patients was reduced from 170 min (IQR: 111, 256 min) to 110 min (IQR: 69, 185 min) (P < 0.001). The overall left-without-being-seen rate decreased from 5% (20/368) to 2% (9/380).

CONCLUSION

A dedicated fast track for CTAS 4/5 patients can reduce the length of stay and the left-without-being-seen rate with no impact on CTAS 3 patients seen in the main emergency department.

Derivación sin visita desde los servicios de urgencias hospitalarios: cuantificación, riesgos y grado de satisfacción

BACKGROUND AND OBJECTIVE

After triage assessment, some hospitals refer emergency department (ED) patients with minor chief complaints to off-site clinics. The potential for 2 different referral models introduced in 2 urban hospitals was assessed, as well as the suitability of this measure.

PATIENTS AND METHOD

After triage assessment, patients with minor complaints were identified. ED from Hospital Clínic of Barcelona (HCB) proposed that these patients should be referred to a hospital affiliated off-site clinic, whereas ED from Hospital Mútua de Terrassa (HMT) tried to refer such patients to their primary care setting. Within a year, we assessed on both ED the following items: number of arrivals, percentage of proposed referrals (PR), percentage of accepted referrals (AR), percentage of carried-out referrals (CR: patients who, once discharged, really attended the other setting), and percentage of returned referrals (RR) to the ED, as well as return reasons, and the percentage of returned patients finally admitted. The degree of patient satisfaction was evaluated by means of a telephone survey.

RESULTS

From both ED, 44,764 arrivals and 7,297 (16.3%) PR were registered. The percentage of AR and CR was 94.3% and 75.3%, respectively. The percentage of PR from HMT was higher (18.7% vs 13.1%; p < 0.001), yet HCB obtained a greater percentage of AR (98.9% vs 92%, p < 0.001) and CR (93.7% vs 65%; p < 0.001). The percentage of RR from both ED was 1.5% (2.8% vs 0.4%; p < 0.001). Among returned patients, 12 of them (0.17% respect to AR) were finally admitted. Only 41% of patients who were found to be eligible for direct discharge would have agreed with being referred to another clinical setting, but after the experience, up to 93% of them said they would go through it again. HMT gave referral information to patients faster than HCB (p < 0.05), but HCB got a better model evaluation (p < 0.01), a greater medical complaint solution (p < 0.05), and generated a smaller number of subsequent consultations (p < 0.05).

CONCLUSIONS

After a rapid triage assessment, a percentage of patients arriving on EDs may be directly and safely discharged and referred to other clinical settings. This is achieved by both proposed models without additional risks for patients. However, patients feel more satisfied with an hospital-affiliated off-site clinic instead of their primary care setting.

Exploring reasons for bed pressures in Winnipeg acute care hospitals

Hospital overcrowding has plagued Winnipeg and other Canadian cities for years. This study explored factors related to overcrowding. Hospital files were used to examine patterns of hospital use from fiscal years 1996/1997 to 1999/2000. Chart reviews were conducted to examine appropriateness of admissions and hospital stays during one pressure week. Results indicate that pressure periods in the hospital system were driven by an influx of older adults with influenza-associated respiratory illnesses. Moreover, examination of one specific pressure week showed that at least 100 beds were occupied by patients who likely did not require acute care. The chart review revealed that a substantial proportion of non-acute patient-days were spent awaiting home care, long-term care, or diagnostic testing services. These findings suggest future bed pressures might be prevented through influenza vaccination and an increase in the availability of--and timely transfer to--alternative levels of care.

Improving the rate of return of spontaneous circulation for out-of-hospital cardiac arrests with a formal, structured emergency resuscitation team

OBJECTIVE

To assess the impact of a formal, structured resuscitation team in the emergency department (ED) on the success rate of cardiopulmonary resuscitation (CPR) for out-of-hospital cardiac arrest (OHCA) patients.

METHODS

This is a "three-phase" (organized, transitional, and re-organized), prospective study in which medical records of all OHCA patients who needed resuscitation in the ED during the three 6-month periods were reviewed and data were coded in out-of-hospital Utstein style formats. An organized resuscitation team existed in the organized and re-organized phases but not in the transitional phase. The study population consisted of adult patients with non-traumatic cardiac arrest (>18 years of age).

RESULTS

The rates of return of spontaneous circulation (ROSC) were 51.3% for the organized phase, 31.0% for the transitional phase, and 53.1% for the re-organized phase ( P=0.013 ). The rates of ROSC from pulseless electrical activity (PEA)/asystole were significantly higher in periods with organized and re-organized teams ( P=0.007 ). The rates of ROSC for the ventricular fibrillation (VF) and pulseless ventricular tachycardia (VT) sub-groups were not significantly different in all three periods ( P=0.406 ). The chance of survival-to-discharge was 9.2% in the organized period, 11.2% in the transitional period, and 15.6% in the re-organized period ( P=0.496 ). The existence of a formal, structured emergency resuscitation team in the ED (odds ratio: 2.56, 95% confidence interval: 1.35-4.80) and witness at the scene (odds ratio: 2.45, 95% confidence interval: 1.34-4.45) were the only independent predictors of successful ROSC of OHCA patients by multiple logistic regression analysis.

CONCLUSION

The establishment of a formal and structured emergency resuscitation team in the ED is associated with an increased rate of ROSC for OHCA patients.

Structure and function of the emergency department: matching emergency department choices to the emergency department mission

Emergency caregivers experience considerable new challenges to the provision of competent, compassionate care. The good news is there are ample new approaches and new technologies to meet those new challenges.ED leaders who understand the ED mission and the resources available today and who engage vigorously in the change process will turn that mission into immensely beneficial action.

A conceptual model of emergency department crowding

Emergency department (ED) crowding has become a major barrier to receiving timely emergency care in the United States. Despite widespread recognition of the problem, the research and policy agendas needed to understand and address ED crowding are just beginning to unfold. We present a conceptual model of ED crowding to help researchers, administrators, and policymakers understand its causes and develop potential solutions. The conceptual model partitions ED crowding into 3 interdependent components: input, throughput, and output. These components exist within an acute care system that is characterized by the delivery of unscheduled care. The goal of the conceptual model is to provide a practical framework on which an organized research, policy, and operations management agenda can be based to alleviate ED crowding.