The effect of emergency department crowding on clinically oriented outcomes

Sustainable Mechanism to Reduce Emergency Department (ED) Length of Stay: The Use of ED Holding (ED Transition) Orders to Reduce ED Length of Stay

OBJECTIVE

The objective was to evaluate the effect of an emergency clinician-initiated "ED admission holding order set" on emergency department (ED) treatment times and length of stay (LOS). We further describe the impact of a performance improvement strategy with sequential plan-do-study-act (PDSA) cycles used to influence the primary outcome measures, ED LOS, and disposition decision to patient gone (DDTPG) time, for admitted patients.

METHODS

We developed and implemented an expedited, emergency physician-facilitated admission protocol that bypassed typical inpatient workflows requiring inpatient evaluations prior to the placement of admission orders. During the 48-month study period, ED flow metrics generated during the care of 27,580 admissions from the 24-month period prior to the intervention were compared to the 29,978 admissions that occurred during the 24-month period following the intervention. The intervention was the result of an in-depth, five-phase PDSA cycle quality improvement intervention evaluating ED flow, which identified the requirement of bedside inpatient evaluations prior admission order placement as being a "non-value-added" activity. ED output flow metrics evaluating the admission process were tracked for 24 months following the intervention and were compared to the 24 months prior.

RESULTS

The use of an emergency physician-initiated admission holding order protocol resulted in sustainable reductions in ED LOS when comparing the 2 years prior to the intervention, with median LOS of 410 (interquartile range [IQR] = 295 to 543) and 395 (IQR = 283 to 527) minutes, to the 2 calendar years following the intervention, with the median LOS of 313 (IQR = 21 to 431) and 316 (IQR = 224 to 438) minutes, respectively. This overall reduction in ED LOS of nearly 90 minutes was found to be primarily the result of a decrease in the time from the emergency physician's admitting DDTPG times with median times of 219 (IQR = 150 to 306) and 200 (IQR = 136 to 286) minutes for the 2 years prior to the intervention compared to 89 (IQR = 58 to 138) and 92 (IQR = 60 to 147) minutes for the 2 years following the intervention. It is notable that there was a modest increase in the door to disposition decision of admission times during this same study period with annual medians of 176 (IQR = 112 to 261) and 178 (IQR = 129 to 316) minutes, respectively, for the 2 years prior to 207 (IQR = 129 to 316) and 202 (IQR = 127 to 305) minutes following the intervention.

CONCLUSIONS

We conclude that the use of emergency physician-initiated holding orders can lead to marked reductions in ED LOS for admitted patients. Continued improvement can be demonstrated with an effective performance improvement initiative designed to continuously optimize the process change.

Google Flu Trends Spatial Variability Validated Against Emergency Department Influenza-Related Visits

Background

Influenza is a deadly and costly public health problem. Variations in its seasonal patterns cause dangerous surges in emergency department (ED) patient volume. Google Flu Trends (GFT) can provide faster influenza surveillance information than traditional CDC methods, potentially leading to improved public health preparedness. GFT has been found to correlate well with reported influenza and to improve influenza prediction models. However, previous validation studies have focused on isolated clinical locations.

Objective

The purpose of the study was to measure GFT surveillance effectiveness by correlating GFT with influenza-related ED visits in 19 US cities across seven influenza seasons, and to explore which city characteristics lead to better or worse GFT effectiveness.

Methods

Using Healthcare Cost and Utilization Project data, we collected weekly counts of ED visits for all patients with diagnosis (International Statistical Classification of Diseases 9) codes for influenza-related visits from 2005-2011 in 19 different US cities. We measured the correlation between weekly volume of GFT searches and influenza-related ED visits (ie, GFT ED surveillance effectiveness) per city. We evaluated the relationship between 15 publically available city indicators (11 sociodemographic, two health care utilization, and two climate) and GFT surveillance effectiveness using univariate linear regression.

Results

Correlation between city-level GFT and influenza-related ED visits had a median of .84, ranging from .67 to .93 across 19 cities. Temporal variability was observed, with median correlation ranging from .78 in 2009 to .94 in 2005. City indicators significantly associated (P<.10) with improved GFT surveillance include higher proportion of female population, higher proportion with Medicare coverage, higher ED visits per capita, and lower socioeconomic status.

Conclusions

GFT is strongly correlated with ED influenza-related visits at the city level, but unexplained variation over geographic location and time limits its utility as standalone surveillance. GFT is likely most useful as an early signal used in conjunction with other more comprehensive surveillance techniques. City indicators associated with improved GFT surveillance provide some insight into the variability of GFT effectiveness. For example, populations with lower socioeconomic status may have a greater tendency to initially turn to the Internet for health questions, thus leading to increased GFT effectiveness. GFT has the potential to provide valuable information to ED providers for patient care and to administrators for ED surge preparedness.

Accuracy of Perceived Estimated Travel Time by EMS to a Trauma Center in San Bernardino County, California

INTRODUCTION

Mobilization of trauma resources has the potential to cause ripple effects throughout hospital operations. One major factor affecting efficient utilization of trauma resources is a discrepancy between the prehospital estimated time of arrival (ETA) as communicated by emergency medical services (EMS) personnel and their actual time of arrival (TOA). The current study aimed to assess the accuracy of the perceived prehospital estimated arrival time by EMS personnel in comparison to their actual arrival time at a Level II trauma center in San Bernardino County, California.

METHODS

This retrospective study included traumas classified as alerts or activations that were transported to Arrowhead Regional Medical Center in 2013. We obtained estimated arrival time and actual arrival time for each transport from the Surgery Department Trauma Registry. The difference between the median of ETA and actual TOA by EMS crews to the trauma center was calculated for these transports. Additional variables assessed included time of day and month during which the transport took place.

RESULTS

A total of 2,454 patients classified as traumas were identified in the Surgery Department Trauma Registry. After exclusion of trauma consults, walk-ins, handoffs between agencies, downgraded traumas, traumas missing information, and traumas transported by agencies other than American Medical Response, Ontario Fire, Rialto Fire or San Bernardino County Fire, we included a final sample size of 555 alert and activation classified traumas in the final analysis. When combining all transports by the included EMS agencies, the median of the ETA was 10 minutes and the median of the actual TOA was 22 minutes (median of difference=9 minutes, p<0.0001). Furthermore, when comparing the difference between trauma alerts and activations, trauma activations demonstrated an equal or larger difference in the median of the estimated and actual time of arrival (p<0.0001). We also found month and time of day to be associated with variability in the difference between the median of the estimated and actual arrival time (p=0.0082 and p=0.0005 for month and time of the day, respectively).

CONCLUSION

EMS personnel underestimate their travel time by a median of nine minutes, which may cause the trauma team to abandon other important activities in order to respond to the emergency department prematurely. The discrepancy between ETA and TOA is unpredictable, varying by month and time of day. As such, a better method of estimating patient arrival time is needed.

Implementing Triage Standing Orders in the Emergency Department Leads to Reduced Physician-to-Disposition Times

Emergency departments (EDs) throughout USA have improvised various processes to curb the “national epidemic” termed ED “crowding.” Standing orders (SOs), one such process, are medical orders approved by the medical director and entered by nurses when patients cannot be seen expeditiously, expediting medical decision-making and decreasing length of stay (LOS) and time to disposition. This retrospective cohort study evaluates the impact of SOs on ED LOS and disposition time at a large university ED. Results indicate that SOs significantly improve ED throughput by reducing disposition time by up to 16.9% (p=0.04), which is especially significant in busy ED settings. SOs by themselves are not sufficient for a complete diagnostic assessment. Strategies such as having a provider in the waiting area may help make key decisions earlier.

A generic method for evaluating crowding in the emergency department

Background

Crowding in the emergency department (ED) has been studied intensively using complicated non-generic methods that may prove difficult to implement in a clinical setting. This study sought to develop a generic method to describe and analyse crowding from measurements readily available in the ED and to test the developed method empirically in a clinical setting.

Methods

We conceptualised a model with ED patient flow divided into separate queues identified by timestamps for predetermined events. With temporal resolution of 30 min, queue lengths were computed as Q(t + 1) = Q(t) + A(t) – D(t), with A(t) = number of arrivals, D(t) = number of departures and t = time interval. Maximum queue lengths for each shift of each day were found and risks of crowding computed. All tests were performed using non-parametric methods. The method was applied in the ED of Aarhus University Hospital, Denmark utilising an open cohort design with prospectively collected data from a one-year observation period.

Results

By employing the timestamps already assigned to the patients while in the ED, a generic queuing model can be computed from which crowding can be described and analysed in detail. Depending on availability of data, the model can be extended to include several queues increasing the level of information. When applying the method empirically, 41,693 patients were included. The studied ED had a high risk of bed occupancy rising above 100 % during day and evening shift, especially on weekdays. Further, a ‘carry over’ effect was shown between shifts and days.

Conclusions

The presented method offers an easy and generic way to get detailed insight into the dynamics of crowding in an ED.

EDTITRATE (Emergency Department Telemedicine Initiative to Rapidly Accommodate in Times of Emergency)

Objective Emergency Department (ED) patient volumes are unpredictable, which can result in service delays and patients leaving without care. We initiated a programme of emergency physician (EP) telepresence in the ED with the objectives of assessing feasibility, safety, patient and provider acceptance, and throughput time. Methods This was a prospective convenience study. Patients presenting to the ED during operation of the study who were planned for placement in the waiting room were considered for enrolment. A faculty EP conducted patient evaluations via telepresence with confirmatory evaluation by the onsite faculty EP prior to disposition. Patient care was either taken to completion by the telemedicine EP or initiated and handed off to the onsite team. Measures included patient demographics, triage class (ESI 1-5), throughput time and a single question satisfaction survey (rating 1-5, 5 most favourable) completed by patients, registered nurses and EPs. Patients were called within 3 days and the electronic health record reviewed at 7 days looking for unscheduled visits and adverse events. Results In total, 130 patients were enrolled. Mean triage class was 3.9 with a median throughput of 150 minutes (IQR = 116.5, 206). Non-telemedicine patients during the same time period with similar triage classes had a median throughput of 287 minutes (IQR = 199, 408). Mean satisfaction scores were: patient 4.91, nurse 4.75, onsite EP 4.47 and telemedicine EP 4.79. There was one potential misdiagnosis and no adverse events. Conclusion Patient evaluation by EP via telepresence is feasible, safe, readily accepted by patients and providers and associated with reduced throughput time.

Variability and Overcrowding Management

Emergency department (ED) overcrowding has become a common situation with significant negative effects on the quality of care. The aim of this study is to detail the flow of patients and their variability and determine the existence of stable patterns that allow better planning of resources.

We performed a retrospective descriptive observational study of emergencies attended from 2008 to 2010 in the ‘Juan Ramón Jiménez’ General Hospital (Huelva, Spain), with a sample of 343,233 visits. The time between consecutive arrivals of patients and the arrival patterns according to severity and clinical area was calculated using Microsoft Excel and Stat::Fit. Quarterly differences were determined using the Kruskal–Wallis test.

The mean value of the inter-arrival time, independent of the quarter ( p < 0.05), was 2–4 minutes from 10:00 am to 10:00 pm and 15–20 minutes from midnight to 8:00 am. The Priority (P) I Patients arrived every 119.05 ± 136.71 minutes, the PII patients every 75.96 ± 97.58 minutes, the PIII patients every 22.62 ± 33.47 minutes and the PIV patients every 6.37 ± 10.53 minutes. PIV had a fluctuating pattern. The arrival rate peaks at 1:00 pm on Monday in the medical–surgical area, at 10:00 pm on Monday for the trauma area, and at 1:00 pm on Sunday for the paediatric area.

The study shows that inter-arrival times and average arrival rates of patients have a defined and reproducible pattern for each level of severity and clinical area, which forces us to rethink the fixed capacity model and oriented towards flexibility of resources to reduce the overcrowding.

Predictors for Delayed Emergency Department Care in Medical Patients with Acute Infections - An International Prospective Observational Study

Introduction

In overcrowded emergency department (ED) care, short time to start effective antibiotic treatment has been evidenced to improve infection-related clinical outcomes. Our objective was to study factors associated with delays in initial ED care within an international prospective medical ED patient population presenting with acute infections.

Methods

We report data from an international prospective observational cohort study including patients with a main diagnosis of infection from three tertiary care hospitals in Switzerland, France and the United States (US). We studied predictors for delays in starting antibiotic treatment by using multivariate regression analyses.

Results

Overall, 544 medical ED patients with a main diagnosis of acute infection and antibiotic treatment were included, mainly pneumonia (n = 218; 40.1%), urinary tract (n = 141; 25.9%), and gastrointestinal infections (n = 58; 10.7%). The overall median time to start antibiotic therapy was 214 minutes (95% CI: 199, 228), with a median length of ED stay (ED LOS) of 322 minutes (95% CI: 308, 335). We found large variations of time to start antibiotic treatment depending on hospital centre and type of infection. The diagnosis of a gastrointestinal infection was the most significant predictor for delay in antibiotic treatment (+119 minutes compared to patients with pneumonia; 95% CI: 58, 181; p<0.001).

Conclusions

We found high variations in hospital ED performance in regard to start antibiotic treatment. The implementation of measures to reduce treatment times has the potential to improve patient care.

Environmental factors and their association with emergency department hand hygiene compliance: an observational study

OBJECTIVES

Hand hygiene is effective in preventing healthcare-associated infections. Environmental conditions in the emergency department (ED), including crowding and the use of non-traditional patient care areas (ie, hallways), may pose barriers to hand hygiene compliance. We examined the relationship between these environmental conditions and proper hand hygiene.

METHODS

This was a single-site, observational study. From October 2013 to January 2014, trained observers recorded hand hygiene compliance among staff in the ED according to the World Health Organization 'My 5 Moments for Hand Hygiene'. Multivariable logistic regression was used to analyse the relationship between environmental conditions and hand hygiene compliance, while controlling for important covariates (eg, hand hygiene indication, glove use, shift, etc).

RESULTS

A total of 1673 hand hygiene opportunities were observed. In multivariable analyses, hand hygiene compliance was significantly lower when the ED was at its highest level of crowding than when the ED was not crowded and lower among hallway care areas than semiprivate care areas (OR=0.39, 95% CI 0.28 to 0.55; OR=0.73, 95% CI 0.55 to 0.97).

CONCLUSIONS

Unique environmental conditions pose barriers to hand hygiene compliance in the ED setting and should be considered by ED hand hygiene improvement efforts. Further study is needed to evaluate the impact of these environmental conditions on actual rates of infection transmission.

Real-time prediction of inpatient length of stay for discharge prioritization

OBJECTIVE

Hospitals are challenged to provide timely patient care while maintaining high resource utilization. This has prompted hospital initiatives to increase patient flow and minimize nonvalue added care time. Real-time demand capacity management (RTDC) is one such initiative whereby clinicians convene each morning to predict patients able to leave the same day and prioritize their remaining tasks for early discharge. Our objective is to automate and improve these discharge predictions by applying supervised machine learning methods to readily available health information.

MATERIALS AND METHODS

The authors use supervised machine learning methods to predict patients' likelihood of discharge by 2 p.m. and by midnight each day for an inpatient medical unit. Using data collected over 8000 patient stays and 20 000 patient days, the predictive performance of the model is compared to clinicians using sensitivity, specificity, Youden's Index (i.e., sensitivity + specificity - 1), and aggregate accuracy measures.

RESULTS

The model compared to clinician predictions demonstrated significantly higher sensitivity (P < .01), lower specificity (P < .01), and a comparable Youden Index (P > .10). Early discharges were less predictable than midnight discharges. The model was more accurate than clinicians in predicting the total number of daily discharges and capable of ranking patients closest to future discharge.

CONCLUSIONS

There is potential to use readily available health information to predict daily patient discharges with accuracies comparable to clinician predictions. This approach may be used to automate and support daily RTDC predictions aimed at improving patient flow.

Risk-Adjusted Variation of Publicly Reported Emergency Department Timeliness Measures

STUDY OBJECTIVE

The Centers for Medicare & Medicaid Services (CMS) recently published emergency department (ED) timeliness measures. These data show substantial variation in hospital performance and suggest the need for process improvement initiatives. However, the CMS measures are not risk adjusted and may provide misleading information about hospital performance and variation. We hypothesize that substantial hospital-level variation will persist after risk adjustment.

METHODS

This cross-sectional study included hospitals that participated in the Emergency Department Benchmarking Alliance and CMS ED measure reporting in 2012. Outcomes included the CMS measures corresponding to median annual boarding time, length of stay of admitted patients, length of stay of discharged patients, and waiting time of discharged patients. Covariates included hospital structural characteristics and case-mix information from the American Hospital Association Survey, CMS cost reports, and the Emergency Department Benchmarking Alliance. We used a γ regression with a log link to model the skewed outcomes. We used indirect standardization to create risk-adjusted measures. We defined "substantial" variation as coefficient of variation greater than 0.15.

RESULTS

The study cohort included 723 hospitals. Risk-adjusted performance on the CMS measures varied substantially across hospitals, with coefficient of variation greater than 0.15 for all measures. Ratios between the 10th and 90th percentiles of performance ranged from 1.5-fold for length of stay of discharged patients to 3-fold for waiting time of discharged patients.

CONCLUSION

Policy-relevant variations in publicly reported CMS ED timeliness measures persist after risk adjustment for nonmodifiable hospital and case-mix characteristics. Future "positive deviance" studies should identify modifiable process measures associated with high performance.

Geographic information system data from ambulances applied in the emergency department: effects on patient reception

BACKGROUND

Emergency departments (ED) recognize crowding and handover from prehospital to in-hospital settings to be major challenges. Prehospital Geographical Information Systems (GIS) may be a promising tool to address such issues. In this study, the use of prehospital GIS data was implemented in an ED in order to investigate its effect on 1) wait time and unprepared activations of Trauma Teams (TT) and Medical Emergency Teams (MET) and 2) nurses' perceptions regarding patient reception, workflow and resource utilization.

METHODS

INTERVENTION

From May 1st 2014 to October 31th 2014, GIS data was displayed in the ED. Data included real-time estimated time of arrival, distance to ED, dispatch criteria, patient data and ambulance contact information. Data was used by coordinating nurses for time activation of TT and MET involved in the initial treatment of severely-injured or critically-ill patients. In addition, it was used as a logistics tool for handling all other patients transported by ambulance to the ED.

STUDY DESIGN

The study followed a mixed-methods design, consisting of a quantitative study (before and after intervention) and a qualitative study (survey and interviews).

PARTICIPANTS

Participants included all patients received by TT or MET and coordinating nurses in the ED.

RESULTS

1.) Quantitative: 599 patients were included. The median wait time for TT and MET was 5 min both before and after the GIS intervention, showing no difference (p = 0.18). A significant reduction in the subgroup of waits >10 min was found (p < 0.05). No difference was found in unprepared TT and MET activations. 2.) Qualitative: Nurses perceived GIS data as a tool to optimize resource utilization and quality of all patients' reception, critically or non-critically ill. No substantial disadvantages were reported.

DISCUSSION

The contradiction of measured median wait time and nurses perceived improved timing of team activation may result from having both RT- ETA and supplemental patient information not only for seriously-injured or critically-ill patients received by the TT and MET, but for all patients transported by ambulance. The reduction in waits > 10 minutes may have contributed to the overall perception of reduced wait time, as avoidance of long waits is clinically more important than reduction in the median wait time.

CONCLUSION

A comparison of the use of prehospital GIS data in the ED with the control period showed no effect on median wait time for TT and MET, however, the number of waits of >10 min was reduced. On the other hand, nurses perceived implementation of GIS data as improving workflow, resource utilization and quality of all patients' reception, critically as well as non-critically ill. There were no substantial disadvantages to the GIS application.

TRIAL REGISTRATION

ClinicalTrials.gov (NCT02188966).

National Differences in Regional Emergency Department Boarding Times: Are US Emergency Departments Prepared for a Public Health Emergency?

OBJECTIVES

Boarding admitted patients decreases emergency department (ED) capacity to accommodate daily patient surge. Boarding in regional hospitals may decrease the ability to meet community needs during a public health emergency. This study examined differences in regional patient boarding times across the United States and in regions at risk for public health emergencies.

METHODS

A retrospective cross-sectional analysis was performed by using 2012 ED visit data from the American Hospital Association (AHA) database and 2012 hospital ED boarding data from the Centers for Medicare and Medicaid Services Hospital Compare database. Hospitals were grouped into hospital referral regions (HRRs). The primary outcome was mean ED boarding time per HRR. Spatial hot spot analysis examined boarding time spatial clustering.

RESULTS

A total of 3317 of 4671 (71%) hospitals were included in the study cohort. A total of 45 high-boarding-time HRRs clustered along the East/West coasts and 67 low-boarding-time HRRs clustered in the Midwest/Northern Plains regions. A total of 86% of HRRs at risk for a terrorist event had high boarding times and 36% of HRRs with frequent natural disasters had high boarding times.

CONCLUSIONS

Urban, coastal areas have the longest boarding times and are clustered with other high-boarding-time HRRs. Longer boarding times suggest a heightened level of vulnerability and a need to enhance surge capacity because these regions have difficulty meeting daily emergency care demands and are at increased risk for disasters. (Disaster Med Public Health Preparedness. 2016;10:576-582).

Reasons for Overcrowding in the Emergency Department: Experiences and Suggestions of an Education and Research Hospital

Objectives

In this study, we aimed to determine the causes of overcrowding in the Emergency Department (ED) and make recommendations to help reduce length of stay (LOS) of patients in the ED.

Methods

We analyzed the medical data of patients admitted to our ER in a one-year period. Demographic characteristics, LOS, revisit frequency, and consultation status of the patients were determined.

Results

A total of 163,951 patients were admitted to our ED between January 1, 2013, and December 31, 2013. In this period 1,210 patients revisited the ED within 24 hours. A total of 38,579 patients had their treatment in the observation room (OR) of the ED and mean LOS was found to be 164.1 minutes. Cardiology was the most frequently consulted specialty. Mean arrival time of the consultants in ED was 64 minutes.

Conclusions

Similar to EDs in other parts of the world, prolonged length of stay in the ED, delayed laboratory and imaging tests, delay of consultants, and lack of sufficient inpatient beds are the most important causes of overcrowding in the ED. Some drastic measures must be taken to minimize errors and increase satisfaction ratio.

A New Model in Reducing Emergency Department Crowding: The Electronic Blockage System

Objectives

Emergency department (ED) crowding is a growing problem across the world. Hospitals need to identify the situation using emergency department crowding scoring systems and to produce appropriate solutions.

Methods

A new program (Electronic Blockage System, EBS) was written supplementary to the Hospital Information System. It was planned that the number of empty beds in the hospital should primarily be used for patients awaiting admission to a hospital bed at the ED. In the presence of patients awaiting admission at the ED, non-urgent admissions to other departments were blocked. ED overcrowded was measured in the period before initiation of EBS, the early post-EBS period and the late post-EBS period, of one-week's duration each, using NEDOCS scoring.

Results

NEDOCS values were significantly lower in the early post-EBS period compared to the other periods (p≤0.0001). Although outpatient numbers applying to the ED and existing patient numbers at time of measurement remained unchanged in all three periods, the number of patients awaiting admission in the early post-EBS period was significantly lower than in the pre-EBS and late post-EBS periods (p=0.0001, p=0.001).

Conclusions

EBS is a form of triage system aimed at preventing crowding and ensuring the priority admission of emergency patients over that of polyclinic patients. In hospitals with an insufficient number of total beds it can be used to reduce ED crowding and accelerate admissions to hospital from the ED.

Predicting admission at triage: are nurses better than a simple objective score?

AIM

We compared two methods of predicting hospital admission from ED triage: probabilities estimated by triage nurses and probabilities calculated by the Glasgow Admission Prediction Score (GAPS).

METHODS

In this single-centre prospective study, triage nurses estimated the probability of admission using a 100 mm visual analogue scale (VAS), and GAPS was generated automatically from triage data. We compared calibration using rank sum tests, discrimination using area under receiver operating characteristic curves (AUC) and accuracy with McNemar's test.

RESULTS

Of 1829 attendances, 745 (40.7%) were admitted, not significantly different from GAPS' prediction of 750 (41.0%, p=0.678). In contrast, the nurses' mean VAS predicted 865 admissions (47.3%), overestimating by 6.6% (p<0.0001). GAPS discriminated between admission and discharge as well as nurses, its AUC 0.876 compared with 0.875 for VAS (p=0.93). As a binary predictor, its accuracy was 80.6%, again comparable with VAS (79.0%), p=0.18. In the minority of attendances, when nurses felt at least 95% certain of the outcome, VAS' accuracy was excellent, at 92.4%. However, in the remaining majority, GAPS significantly outperformed VAS on calibration (+1.2% vs +9.2%, p<0.0001), discrimination (AUC 0.810 vs 0.759, p=0.001) and accuracy (75.1% vs 68.9%, p=0.0009). When we used GAPS, but 'over-ruled' it when clinical certainty was ≥95%, this significantly outperformed either method, with AUC 0.891 (0.877-0.907) and accuracy 82.5% (80.7%-84.2%).

CONCLUSIONS

GAPS, a simple clinical score, is a better predictor of admission than triage nurses, unless the nurse is sure about the outcome, in which case their clinical judgement should be respected.

The impacts of prolonged emergency department length of stay on clinical outcomes of patients with ST-segment elevation myocardial infarction after reperfusion

Emergency department and hospital crowding have become an increasing problem. The clinical outcomes of prolonged emergency department (ED) length of stay in acute ST-segment elevation myocardial infarction (STEMI) patients after reperfusion are still unknown. Between January 2008 and December 2011, 432 consecutive patients with STEMI undergoing primary PCI were recruited. Patients were divided into two groups: the immediate admission group (length of ED stay <8 h; IA group) and the prolonged ED stay group (length of ED stay ≧8 h; PS group). The median lengths of ED stay of the patients in both groups were 29.97 h in the PS group (n = 145, 33.6%) and 1.78 h in the IA group (n = 287, 66.4%), respectively. The age, gender, risk factors of coronary artery disease, characteristic of coronary angiography, and TIMI risk score did not differ between the two groups. During nearly 4-year clinical follow-up, the short-term and long-term clinical outcomes were similar between the two groups. B-blocker and statins were used infrequently in the ED. In addition, patients with high TIMI risk score in the PS group had higher incidence of 1-year re-MI (6.8 vs. 1.8%; p = 0.045). In the era of primary PCI for STEMI patients after reperfusion, prolonged ED length of stay may not influence clinical outcomes. Patients with high TIMI risk score in the PS group still had a trend toward worse clinical outcome after long ED stays.

Using Computer Simulation to Study Nurse-to-Patient Ratios in an Emergency Department

OBJECTIVE

To study the impact of nurse-to-patient ratios on patient length of stay (LOS) in computer simulations of emergency department (ED) care.

METHODS

Multiple 24-hour computer simulations of emergency care were used to evaluate the impact of different minimum nurse-to-patient ratios related to ED LOS, which is composed of wait (arrival to bed placement) and bedtime (bed placement to leave bed).

RESULTS

Increasing the number of patients per nurse resulted in increased ED LOS. Mean bedtimes in minutes were impacted by nurse-to-patient ratios.

CONCLUSIONS

In computer simulation of ED care, increasing the number of patients per nurse resulted in increasing delays in care (ie, increasing bedtime).

A Multicenter Evaluation of the Impact of Sex on Abdominal and Fracture Pain Care

BACKGROUND

Previous studies examining sex-based disparities in emergency department (ED) pain care have been limited to a single pain condition, a single study site, and lack rigorous control for confounders.

OBJECTIVE

A multicenter evaluation of the effect of sex on abdominal pain (AP) and fracture pain (FP) care outcomes.

RESEARCH DESIGN

A retrospective cohort review of ED visits at 5 US hospitals in January, April, July, and October 2009.

SUBJECTS

A total of 6931 patients with a final ED diagnosis of FP (n=1682) or AP (n=5249) were included.

MEASURES

The primary predictor was sex. The primary outcome was time to analgesic administration. Secondary outcomes included time to medication order, and the likelihood of receiving an analgesic and change in pain scores 360 minutes after triage: Multivariable models, clustered by study site, were conducted to adjust for race, age, comorbidities, initial pain score, ED crowding, and triage acuity.

RESULTS

On adjusted analyses, compared with men, women with AP waited longer for analgesic administration [AP women: 112 (65-187) minutes, men: 96 (52-167) minutes, P<0.001] and ordering [women: 84 (41-160) minutes, men: 71 (32-137) minutes, P<0.001], whereas women with FP did not (Administration: P=0.360; Order: P=0.133). Compared with men, women with AP were less likely to receive analgesics in the first 90 minutes (OR=0.766; 95% CI, 0.670-0.875; P<0.001), whereas women with FP were not (P=0.357).

DISCUSSION

In this multicenter study, we found that women experienced delays in analgesic administration for AP, but not for FP. Future research and interventions to decrease sex disparities in pain care should take type of pain into account.

Is a national time target for emergency department stay associated with changes in the quality of care for acute asthma? A multicentre pre-intervention post-intervention study

OBJECTIVE

There is debate whether targets for ED length of stay introduced to reduce ED overcrowding are helpful or harmful, as focus on a process target may divert attention from clinical care. Our objective was to investigate the effect of a national ED target in Aotearoa New Zealand on the recommended care for acute asthma as this is known to suffer in overcrowded departments.

METHODS

We conducted a retrospective chart review study across four sites from 2006 to 2012 (target introduced mid 2009). The primary outcome was time to steroids in the ED. The secondary outcomes were other aspects of asthma care in ED. We used general linear models or logistic regression as appropriate to assess care before and after the target.

RESULTS

Among the 570 (of 1270 randomly selected cases) eligible for analysis, no difference was demonstrated in time to steroids: least square mean (95% CI) = 58.1 (49-67.5) min before and 50.4 (42.9-55.8) min after the target (P = 0.15). More patients received steroids in ED after the target, OR (95% CI) = 2.1 (1.2-4.3). No differences were demonstrated in those receiving steroid prescriptions or re-presentations: OR (95% CI) = 1.3 (0.9-1.96) and 1.1 (0.5-2.3), respectively. Changes in pre-target and post-target ED and hospital length of stay varied between hospitals.

CONCLUSION

Introduction of the target was not associated with a change in times to steroids in ED, although more patients received steroids in ED indicating closer adherence to recommended practice.

Improved quality and efficiency after the introduction of physician-led team triage in an emergency department

BACKGROUND

Overcrowding in the emergency department (ED) may negatively affect patient outcomes, so different triage models have been introduced to improve performance. Physician-led team triage obtains better results than other triage models. We compared efficiency and quality measures before and after reorganization of the triage model in the ED at our county hospital.

MATERIALS AND METHODS

We retrospectively compared two study periods with different triage models: nurse triage in 2008 (baseline) and physician-led team triage in 2012 (follow-up). Physician-led team triage was in use during day-time and early evenings on weekdays. Data were collected from electronic medical charts and the National Mortality Register.

RESULTS

We included 20,073 attendances in 2008 and 23,765 in 2012. The time from registration to physician presentation decreased from 80 to 33 min (P < 0.001), and the length of stay decreased from 219 to 185 min (P < 0.001) from 2008 to 2012, respectively. All of the quality variables differed significantly between the two periods, with better results in 2012. The odds ratio for patients who left before being seen or before treatment was completed was 0.62 (95% confidence interval 0.54-0.72). The corresponding result for unscheduled returns was 0.36 (0.32-0.40), and for the mortality rates within 7 and 30 days 0.72 (0.59-0.88) and 0.84 (0.73-0.97), respectively. The admission rate was 37% at baseline and 32% at follow-up (P < 0.001).

CONCLUSION

Physician-led team triage improved the efficiency and quality in EDs.

Report on the 4-h rule and National Emergency Access Target (NEAT) in Australia: time to review

Objective The aim of the present study was to provide a summary of a systematic review of literature reporting benefits and limitations of implementing National Emergency Access Target (NEAT), a target stipulating that a certain proportion of patients presenting to hospital emergency departments are admitted or discharged within 4 h of presentation. Methods A systematic review of published literature using specific search terms, snowballing techniques applied to retrieved references and Google searches was performed. Results are presented as a narrative synthesis given the heterogeneity of included studies. Results Benefits of a time-based target for emergency care are improved timeliness of emergency care and reduced in-hospital mortality for emergency admissions to hospital. Limitations centre on using a process measure (time) alone devoid of any monitoring of patient outcomes, the threshold nature of a time target and the fact that currently NEAT combines the measurement of clinical management of two very different patient cohorts seeking emergency care: less acute patients discharged home and more acute patients admitted to hospital. Conclusions Time-based access targets for emergency presentations are associated with significant improvements in in-hospital mortality for emergency admissions. However, other patient-important outcomes are deserving of attention, choice of targets needs to be validated by empirical evidence of patient benefit and single targets need to be partitioned into separate targets pertaining to admitted and discharged patients. What is known about the topic? Time targets for emergency care originated in the UK. The introduction of NEAT in Australia has been controversial. NEAT directs that a certain proportion of patients will be admitted or discharged from an emergency department (ED) within 4 h. Recent dissolution of the Australian National Partnership Agreement (which provided hospitals with financial incentives for achieving NEAT compliance) has prompted a re-examination of the 4-h rule, the evidence underpinning its introduction and its benefits and risks to patients What does this paper add? This paper is executive summary of key findings from a systematic literature review on the benefits and limitations of NEAT (the 4-h rule) commissioned by the Queensland Clinical Senate to inform future policy and targets. What are the implications for practitioners? There is evidence that a time-based target has been associated with a reduction in in-hospital mortality for emergency admissions to Australian hospitals. Concerns remain regarding a time-based target alone being used to drive redesign efforts at improving access to emergency care. A time-based target should be coupled with close monitoring of patient outcomes of emergency care. Target thresholds need to be evidence based and separate targets should be reported for admitted, discharged and all patients presenting to the ED.

Association of Emergency Department Length of Stay and Crowding for Patients with ST-Elevation Myocardial Infarction

Introduction

With the majority of U.S. hospitals not having primary percutaneous coronary intervention (pPCI) capabilities, the time spent at transferring emergency departments (EDs) is predictive of clinical outcomes for patients with ST-elevation myocardial infarction (STEMI). Compounding the challenges of delivering timely emergency care are the known delays caused by ED crowding. However, the association of ED crowding with timeliness for patients with STEMI is unknown. We sought to examine the relationship between ED crowding and time spent at transferring EDs for patients with STEMI.

Methods

We analyzed the Centers for Medicare and Medicaid Services (CMS) quality data. The outcome was time spent at a transferring ED (i.e., door-in-door-out [DIDO]), was CMS measure OP-3b for hospitals with ≥10 acute myocardial infarction (AMI) cases requiring transfer (i.e., STEMI) annually: Time to Transfer an AMI Patient for Acute Coronary Intervention. We used four CMS ED timeliness measures as surrogate measures of ED crowding: admitted length of stay (LOS), discharged LOS, boarding time, and waiting time. We analyzed bivariate associations between DIDO and ED timeliness measures. We used a linear multivariable regression to evaluate the contribution of hospital characteristics (academic, trauma, rural, ED volume) to DIDO.

Results

Data were available for 405 out of 4,129 hospitals for the CMS DIDO measure. These facilities were primarily non-academic (99.0%), non-trauma centers (65.4%), and in urban locations (68.5%). Median DIDO was 54.0 minutes (IQR 42.0,68.0). Increased DIDO time was associated with longer admitted LOS and boarding times. After adjusting for hospital characteristics, a one-minute increase in ED LOS at transferring facilities was associated with DIDO (coefficient, 0.084 [95% CI [0.049,0.119]]; p<0.001). This translates into a five-minute increase in DIDO for every one-hour increase in ED LOS for admitted patients.

Conclusion

Among patients with STEMI presenting to U.S. EDs, we found that ED crowding has a small but operationally insignificant effect on time spent at the transferring ED.

The impact of regional policies on emergency department management and performance: the case of the regional government of Sicily

BACKGROUND

Improvement in healthcare, seeking the correct balance between quality and costs, is an ongoing concern in many countries. Many countries have developed and implemented improvement programmes in health care, particularly in emergency departments (ED), which play a key role in terms of hospital resources and planning. The regional government of Sicily implemented a project 2010-2012 to improve ED care quality and patient safety.

PURPOSE

This paper aims to evaluate improvements implemented by the Regional Health Authority of Sicily in the 20 main EDs.

METHOD

Performance analysis of EDs was conducted on three levels: care quality (standard Joint Commission International evaluation), efficiency in terms of resources and output (by way of interviews and document analysis) and the role of management in efficiently promoting change (presence of a performance monitoring system).

FINDINGS

The results show improvements in all areas and improved performance in all EDs. There is, however, room for improvement in certain areas, and improvement was not uniformly distributed.

PRACTICAL IMPLICATIONS

The quality of local policy and management are key aspects of efficient promotion of performance improvement. Copyright © 2015 John Wiley & Sons, Ltd.

Understanding Overuse of Computed Tomography for Minor Head Injury in the Emergency Department: A Triangulated Qualitative Study

BACKGROUND

Overuse of computed tomography (CT) for minor head injury continues despite developed and rigorously validated clinical decision rules like the Canadian CT Head Rule (CCHR). Adherence to this sensitive and specific rule could decrease the number of CT scans performed in minor head injury by 35%. But in practice, the CCHR has failed to reduce testing, despite its accurate performance.

OBJECTIVES

The objective was to identify nonclinical, human factors that promote or inhibit the appropriate use of CT in patients presenting to the emergency department (ED) with minor head injury.

METHODS

This was a qualitative study in three phases, each with interview guides developed by a multidisciplinary team. Subjects were recruited from patients treated and released with minor head injuries and providers in an urban academic ED and a satellite community ED. Focus groups of patients (four groups, 22 subjects total) and providers (three groups, 22 subjects total) were conducted until thematic saturation was reached. The findings from the focus groups were triangulated with a cognitive task analysis, including direct observation in the ED (>150 hours), and individual semistructured interviews using the critical decision method with four senior physician subject matter experts. These experts are recognized by their peers for their skill in safely minimizing testing while maintaining patient safety and engagement. Focus groups and interviews were audio recorded and notes were taken by two independent note takers. Notes were entered into ATLAS.ti and analyzed using the constant comparative method of grounded theory, an iterative coding process to determine themes. Data were double-coded and examined for discrepancies to establish consensus.

RESULTS

Five core domains emerged from the analysis: establishing trust, anxiety (patient and provider), constraints related to ED practice, the influence of others, and patient expectations. Key themes within these domains included patient engagement, provider confidence and experience, ability to identify and manage patient anxiety, time constraints, concussion knowledge gap, influence of health care providers, and patient expectations to get a CT.

CONCLUSIONS

Despite high-quality evidence informing use of CT in minor head injury, multiple factors influence the decision to obtain CT in practice. Identifying and disseminating approaches and designing systems that help clinicians establish trust and manage uncertainty within the ED context could optimize CT use in minor head injury.

National Acute Medicine Programme--improving the care of all medical patients in Ireland

BACKGROUND

The National Acute Medicine Programme (NAMP) was established to address the unsatisfactory management of acutely ill medical patients in Ireland. It aimed to improve quality of care and patient safety, streamline access to healthcare, and reduce cost through efficiency gains.

METHOD

A model of care was developed to describe 4 distinct clinical pathways for medical patients streamed through acute medical assessment units. A patient flow model was used to build system capacity and predict demand for each hospital. Specific practice changes necessary were identified for each pathway. A performance framework, with national benchmarks that mirrored the model of care, was also developed. The program team met regularly with hospitals and fed back performance information and, using appreciative enquiry, supported local improvement plans.

RESULTS

Thirty-two out of 33 Irish hospitals that admit acute medical patients are now operating the program. Process improvement lies at the core of all the success achieved by the program. Available inpatient data were improved and harnessed to support ongoing audit and quality improvement. A reduction of 1.6 days in average length of stay nationally was achieved between 2010 and 2013.

CONCLUSION

Despite a 25% increase in hospital discharges and the severe financial constraints experienced during this implementation period, the NAMP achieved significant efficiency gains through process improvements, while ensuring patient safety and likely improving the quality of care delivered to patients in Ireland.

Assessing the Physical Environment of Emergency Departments

Background:

Emergency Department (ED) is considered to be the heart of a hospital. Based on many studies, a well-organized physical environment can enhance efficacy.

Objectives:

In this study, we aimed to investigate the influence of physical environment in EDs on efficacy.

Materials and Methods:

This analytical cross-sectional study was conducted via the faculty members of the ED and residents of Shahid Beheshti University of Medical Sciences in Tehran, Iran. Data were collected using a predefined questionnaire. Descriptive statistics and ANOVA were used to analyze the data.

Results:

Sixty-two participants, including 21 females and 41 males, completed the questionnaires. The mean age of the participants was 37 years (SD: 8.42). The mean work experience was 8 years (SD: 4.52) and all the studied variables varied within a range of 3.3 - 4.2. Time indices had the highest mean among variables followed by capacity, work space, treatment units, critical care units and, triage indices, respectively.

Conclusions:

In general, time indices including length of patient stay in the ED and space capacity, emphasizing the need to address these shortcomings.

Why and when citizens call for emergency help: an observational study of 211,193 medical emergency calls

BACKGROUND

A medical emergency call is citizens' access to pre-hospital emergency care and ambulance services. Emergency medical dispatchers are gatekeepers to provision of pre-hospital resources and possibly hospital admissions. We explored causes for access, emergency priority levels, and temporal variation within seasons, weekdays, and time of day for emergency calls to the emergency medical dispatch center in Copenhagen in a two-year study period (December 1(st), 2011 to November 30(th), 2013).

METHODS

Descriptive analysis was performed for causes for access and emergency priority levels. A Poisson regression model was used to calculate adjusted ratio estimates for the association between seasons, weekdays, and time of day overall and stratified by emergency priority levels.

RESULTS

We analyzed 211,193 emergency calls for temporal variation. Of those, 167,635 calls were eligible for analysis of causes and emergency priority level. "Unclear problem" was the most frequent category (19%). The five most common causes with known origin were categorized as "Wounds, fractures, minor injuries" (13%), "Chest pain/heart disease" (11%), "Accidents" (9%), "Intoxication, poisoning, drug overdose" (8%), and "Breathing difficulties" (7%). The highest emergency priority levels (Emergency priority level A and B) were assigned in 81% of calls. In the analysis of temporal variation, the total number of calls peaked at wintertime (26%), Saturdays (16%), and during daytime (39%).

CONCLUSION

The pattern of citizens' contact causes fell into four overall categories: unclear problems, medical problems, intoxication and accidents. The majority of calls were urgent. The magnitude of unclear problems represents a modifiable factor and highlights the potential for further improvement of supportive dispatch priority tools or educational interventions at dispatch centers. Temporal variation was identified within seasons, weekdays and time of day and reflects both system load and disease occurrence. Data on contact patterns could be utilized in a public health perspective, benchmarking of EMS systems, and ultimately development of best practice in the area of emergency medicine.

Reducing Time to Antibiotic Administration for Febrile Neutropenia in the Emergency Department

The Emergency Department (ED) Febrile Neutropenia Pathway quality initiative demonstrated value by decreasing time to antibiotic administration in patients with cancer presenting to the ED compared with historical and direct admissions controls.

How Does Emergency Department Crowding Affect Medical Student Test Scores and Clerkship Evaluations?

INTRODUCTION

The effect of emergency department (ED) crowding has been recognized as a concern for more than 20 years; its effect on productivity, medical errors, and patient satisfaction has been studied extensively. Little research has reviewed the effect of ED crowding on medical education. Prior studies that have considered this effect have shown no correlation between ED crowding and resident perception of quality of medical education.

OBJECTIVE

To determine whether ED crowding, as measured by the National ED Overcrowding Scale (NEDOCS) score, has a quantifiable effect on medical student objective and subjective experiences during emergency medicine (EM) clerkship rotations.

METHODS

We collected end-of-rotation examinations and medical student evaluations for 21 EM rotation blocks between July 2010 and May 2012, with a total of 211 students. NEDOCS scores were calculated for each corresponding period. Weighted regression analyses examined the correlation between components of the medical student evaluation, student test scores, and the NEDOCS score for each period.

RESULTS

When all 21 rotations are included in the analysis, NEDOCS scores showed a negative correlation with medical student tests scores (regression coefficient= -0.16, p=0.04) and three elements of the rotation evaluation (attending teaching, communication, and systems-based practice; p<0.05). We excluded an outlying NEDOCS score from the analysis and obtained similar results. When the data were controlled for effect of month of the year, only student test score remained significantly correlated with NEDOCS score (p=0.011). No part of the medical student rotation evaluation attained significant correlation with the NEDOCS score (p≥0.34 in all cases).

CONCLUSION

ED overcrowding does demonstrate a small but negative association with medical student performance on end-of-rotation examinations. Additional studies are recommended to further evaluate this effect.

Emergency Department Crowding and Outcomes After Emergency Department Discharge

STUDY OBJECTIVE

We assess whether a panel of emergency department (ED) crowding measures, including 2 reported by the Centers for Medicare & Medicaid Services (CMS), is associated with inpatient admission and death within 7 days of ED discharge.

METHODS

We conducted a retrospective cohort study of ED discharges, using data from an integrated health system for 2008 to 2010. We assessed patient transit-level (n=3) and ED system-level (n=6) measures of crowding, using multivariable logistic regression models. The outcome measures were inpatient admission or death within 7 days of ED discharge. We defined a clinically important association by assessing the relative risk ratio and 95% confidence interval (CI) difference and also compared risks at the 99th percentile and median value of each measure.

RESULTS

The study cohort contained a total of 625,096 visits to 12 EDs. There were 16,957 (2.7%) admissions and 328 (0.05%) deaths within 7 days. Only 2 measures, both of which were patient transit measures, were associated with the outcome. Compared with a median evaluation time of 2.2 hours, the evaluation time of 10.8 hours (99th percentile) was associated with a relative risk of 3.9 (95% CI 3.7 to 4.1) of an admission. Compared with a median ED length of stay (a CMS measure) of 2.8 hours, the 99th percentile ED length of stay of 11.6 hours was associated with a relative risk of 3.5 (95% CI 3.3 to 3.7) of admission. No system measure of ED crowding was associated with outcomes.

CONCLUSION

Our findings suggest that ED length of stay is a proxy for unmeasured differences in case mix and challenge the validity of the CMS metric as a safety measure for discharged patients.

Emergency department crowding and loss of medical licensure: a new risk of patient care in hallways

We report the case of a 32-year-old male recently diagnosed with type 2 diabetes treated at an urban university emergency department (ED) crowded to 250% over capacity. His initial symptoms of shortness of breath and feeling ill for several days were evaluated with chest radiograph, electrocardiogram (EKG), and laboratory studies, which suggested mild diabetic ketoacidosis. His medical care in the ED was conducted in a crowded hallway. After correction of his metabolic abnormalities he felt improved and was discharged with arrangements made for outpatient follow-up. Two days later he returned in cardiac arrest, and resuscitation efforts failed. The autopsy was significant for multiple acute and chronic pulmonary emboli but no coronary artery disease. The hospital settled the case for $1 million and allocated major responsibility to the treating emergency physician (EP). As a result the state medical board named the EP in a disciplinary action, claiming negligence because the EKG had not been personally interpreted by that physician. A formal hearing was conducted with the EP’s medical license placed in jeopardy. This case illustrates the risk to EPs who treat patients in crowded hallways, where it is difficult to provide the highest level of care. This case also demonstrates the failure of hospital administration to accept responsibility and provide resources to the ED to ensure patient safety.

The lived experiences of patients and ambulance ramping in a regional Australian emergency department: An interpretive phenomenology study

BACKGROUND

Internationally, the workload of emergency departments (ED) has increased, resulting in overcrowding and frequent delays in the offloading of patients arriving via ambulance--referred to in Australia as 'ambulance ramping'.

METHODS

Using interpretive phenomenology, this study sought to understand the experience of ambulance ramping from the perspective of patients. Semi-structured interviews were undertaken with seven patients who presented to a regional Queensland ED via ambulance, and experienced an ambulance offload delay of >30 min.

RESULTS

Ambulance ramping in the ED was described as 'Being a patient, patient', and three major themes emerged: Understanding the emergency healthcare system; Making do within the emergency healthcare system; and Being 'in the dark' during ambulance ramping. Most participants did not understand the antecedents to ambulance ramping, but understood some of the consequences. Most were happy to wait with paramedics for a bed and, although without privacy, felt safe. However, most participants felt 'in the dark' during ambulance ramping, due to communication difficulties regarding bed availability, and this led to frustration.

CONCLUSIONS

In light of the Australian Charter of Healthcare Rights, service improvement opportunities exist for patients arriving to the ED by ambulance to ensure delays are minimised and quality care is delivered.

Solving the worldwide emergency department crowding problem - what can we learn from an Israeli ED?

ED crowding is a prevalent and important issue facing hospitals in Israel and around the world, including North and South America, Europe, Australia, Asia and Africa. ED crowding is associated with poorer quality of care and poorer health outcomes, along with extended waits for care. Crowding is caused by a periodic mismatch between the supply of ED and hospital resources and the demand for patient care. In a recent article in the Israel Journal of Health Policy Research, Bashkin et al. present an Ishikawa diagram describing several factors related to longer length of stay (LOS), and higher levels of ED crowding, including management, process, environmental, human factors, and resource issues. Several solutions exist to reduce ED crowding, which involve addressing several of the issues identified by Bashkin et al. This includes reducing the demand for and variation in care, and better matching the supply of resources to demands in care in real time. However, what is needed to reduce crowding is an institutional imperative from senior leadership, implemented by engaged ED and hospital leadership with multi-disciplinary cross-unit collaboration, sufficient resources to implement effective interventions, access to data, and a sustained commitment over time. This may move the culture of a hospital to facilitate improved flow within and across units and ultimately improve quality and safety over the long-term.

Development of a Hospital Standardized Mortality Ratio for Emergency Department Care

STUDY OBJECTIVE

Experts have recommended including measures of mortality in emergency department (ED) performance evaluation frameworks. This study aims to develop a hospital standardized mortality ratio (HSMR) for patients admitted to the hospital with conditions for which ED care may reduce mortality (emergency-sensitive conditions).

METHODS

Data were extracted from Canadian hospital discharge databases from April 1, 2009, to March 31, 2012. The ED HSMR is the ratio of the observed deaths among patients with emergency-sensitive conditions in a hospital during a year to the expected deaths for the same patients during the reference year (2009-2010). The expected deaths were estimated with predictive models fitted for different hospital peer groups (teaching hospitals and large, medium, and small community hospitals).

RESULTS

The data set included 1,770,809 admissions (9.2% deaths). The ED HSMR was calculated for 47% (294/629) of all Canadian hospitals. The majority of exclusions (98%) were for small community hospitals with fewer than 20 expected deaths. Predictive models had good calibration and discrimination, with areas under the curve ranging from 0.80 to 0.81. In comparisons of 2010-2011 and 2011-2012, the classification of hospitals by ED HSMR quartile was stable, with the majority remaining within the same quartile (43.5%) or moving up or down a single quartile (40.2%). Peer-group-level comparisons between ED HSMR measured at different points after admission (2, 7, and 30 days, and hospital discharge) did not demonstrate any significant differences.

CONCLUSION

The ED HSMR appears to be a reliable measure with high discrimination, calibration, and forecasting properties that can be used to guide assessment of ED performance.

Patients presenting at the emergency department with acute abdominal pain are less likely to be admitted to inpatient wards at times of access block: a registry study

Background

Also known as access block, shortage of inpatient beds is a common cause of emergency department (ED) boarding and overcrowding, which are both associated with impaired quality of care. Recent studies have suggested that access block not simply causes boarding in EDs, but may also result in that patients are less likely to be admitted to the hospital from the ED. The present study’s aim was to investigate whether this effect remained for patients with acute abdominal pain, for which different management strategies have emerged. Access block was defined in terms of hospital occupancy and the appropriateness of ED discharges addressed as 72 h revisits to the ED.

Methods

As a registry study of ED administrative data, the study examined a population of patients who presented with acute abdominal pain at the ED of a 420-bed hospital in southern Sweden during 2011–2013. Associations between exposure and outcomes were addressed in contingency tables and by logistic regression models.

Results

Crude analysis revealed a negative association between access block and the probability of inpatient admission (38.6 % admitted at 0–95 % occupancy, 37.8 % at 95–100 % occupancy, and 35.0 % at ≥100 % occupancy) (p < .001). No significant associations between exposure and 72 h revisits emerged. Multivariable models indicated an odds ratio of inpatient admission of 0.992 (95 % CI: 0.986–0.997) per percentage increase in hospital occupancy.

Conclusions

Study findings indicate that patients with acute abdominal pain are less likely to be admitted to the hospital from the ED at times of access block and that other management strategies are employed instead. No association with 72 h revisits was seen, but future studies need to address more granular outcomes in order to clarify the safety aspects of the effect.

Electronic supplementary material

The online version of this article (doi:10.1186/s13049-015-0158-3) contains supplementary material, which is available to authorized users.

Hand Hygiene Compliance in an Emergency Department: The Effect of Crowding

OBJECTIVES

Emergency department (ED) crowding results from the need to see high volumes of patients of variable acuity within a limited physical space. ED crowding has been associated with poor patient outcomes and increased mortality. The authors evaluated whether ED crowding is also associated with reduced hand hygiene compliance among health care workers.

METHODS

A trained observer measured hand hygiene compliance using standardized definitions for 22 months in the 40-bed ED of a 475-bed academic hospital in Toronto, Ontario, Canada. ED crowding measures, including mean daily patient volumes, time to initial physician assessment, and daily nursing hours, were obtained from hospital administrative and human resource databases. Known predictors of hand hygiene compliance, including the indication for hand hygiene and the health care workers' professions, were also measured. Hand hygiene data, measured during 20-minute observation sessions, were linked to aggregate daily results for each crowding metric. Crowding metrics and known predictors of hand hygiene compliance were then included in a multivariate model if associated with hand hygiene compliance at a p-value of <0.20.

RESULTS

Hand hygiene compliance was 29% (325 of 1,116 opportunities). Alcohol-based hand rinse was used 66% of the time. Nurses accounted for 68% of hand hygiene opportunities and physicians for 18%, with the remaining 14% attributed to nonphysician, nonnurse health care workers. The most common indications for hand hygiene were hand hygiene prior to (35%) and hand hygiene following (52%) contact with the patient or his or her environment. In multivariate analysis, time to physician assessment > 1.5 hours was associated with lower compliance (odds ratio [OR] = 0.67, 95% confidence interval [CI] = 0.51 to 0.89). Additionally, compliance was lower for nonnurse, nonphysician health care workers (OR = 0.51, 95% CI = 0.33 to 0.79) and higher for hand hygiene performed after contact with the patients or his/her environment, compared to hand hygiene performed before contact with the patient or his/her environment (OR = 2.0, 95% CI = 1.5 to 2.7). Daily patient volumes and nursing hours were not associated with hand hygiene compliance.

CONCLUSIONS

ED hand hygiene compliance was low. Increased time to physician assessment was associated with reduced compliance, suggesting an association between crowding and compliance. Strategies that minimize ED crowding may improve ED hand hygiene compliance.