The effect of emergency department crowding on clinically oriented outcomes

The impact of improved access to after-hours primary care on emergency department and primary care utilization: A systematic review

Access to after-hours primary care is problematic in many developed countries, leading patients to instead visit the emergency department for non-urgent conditions. However, emergency department utilization for conditions treatable in primary care settings may contribute to emergency department overcrowding and increased health system costs. This systematic review examines the impact of various initiatives by developed countries to improve access to after-hours primary care on emergency department and primary care utilization. We performed a systematic review on the impact of improved access to after-hours primary and searched CINAHL, EMBASE, MEDLINE, and Scopus. We identified 20 studies that examined the impact of improved access to after-hours primary care on ED utilization and 6 studies that examined the impact on primary care utilization. Improved access to after-hours primary care was associated with increased primary care utilization, but had a mixed effect on emergency department utilization, with limited evidence of a reduction in non-urgent and semi-urgent emergency department visits. Although our review suggests that improved access to after-hours primary care may limit emergency department utilization by shifting patient care from the emergency department back to primary care, rigorous research in a given institutional context is required before introducing any initiative to improve access to after-hours primary care.

Factors Affecting Emergency Department Crowding

Emergency department crowding is a multifactorial issue with causes intrinsic to the emergency department and to the health care system. Understanding that the causes of emergency department crowding span this continuum allows for a more accurate analysis of its effects and a more global consideration of potential solutions. Within the emergency department, boarding of inpatients is the most appreciable effect of hospital-wide crowding, and leads to further emergency department crowding. We explore the concept of emergency department crowding, and its causes, effects, and potential strategies to overcome this problem.

Patients with mental health conditions in the emergency department: Why so long a wait?

OBJECTIVES

Patients presenting with a mental health disorder (MHD) wait longer in the ED compared to those presenting for other reasons, potentially placing vulnerable patients at further risk for deterioration. The present study identified factors associated with a long ED stay for patients with a MHD.

METHODS

Linked ambulance, emergency, pathology, imaging and admission data for an 18-month period were analysed for ED presentations diagnosed with an MHD ICD-10 at a large teaching hospital. Admissions and discharges were considered separately; a long ED stay was defined as the 90th percentile length of stay. Multivariable generalised linear models were built, identifying predictors of a long ED stay for presentations diagnosed with a MHD.

RESULTS

The sample comprised 1163 admissions and 2242 discharges. For admissions, significant predictors for long ED stay were investigations (pathology or imaging tests), a triage score of 1 or 2, arrival out-of-hours (18.00-05.59 hours) and arrival by ambulance. For discharges, significant predictors of a long ED stay were investigations (pathology or imaging tests), arrival out-of-hours, arrival by ambulance and increasing age.

CONCLUSIONS

Some factors predictive of a long ED stay for patients presenting to the ED and diagnosed with a MHD varied based on their disposition. For admissions, the most urgent presentations were likely to stay longest. Strategies to reduce ED stay for both admissions and discharges should consider addressing modifiable aspects, including the need for certain investigations, and non-modifiable aspects, including the need for further access to after-hours mental health services in hospital and in the community.

A Method for Projections of the Emergency Department Behaviour by Non-Communicable Diseases From 2019 to 2039

In this paper, a new method for prediction of future performance and demand on emergency department (ED) in Spain is presented. Increased life expediency and population aging in Spain, along with their corresponding health conditions such as non-communicable diseases (NCDs), have been suggested to contribute to higher demands on ED. These lead to inferior performance of the department and cause longer ED length of stay (LoS). Prediction and quantification of behavior of ED is, however, challenging as ED is one of the most complex parts of hospitals. Using detailed computational approaches integrated with clinical data behavior of Spain's ED in future years was predicted. First, statistical models were developed to predict how the population and age distribution of patients with non-communicable diseases change in Spain in future years. Then, an agent-based modeling approach was used for simulation of the emergency department to predict impacts of the changes in population and age distribution of patients with NCDs on the performance of ED, reflected in ED LoS, between years 2019 and 2039. Results from different projection scenarios indicated that Spain would experience a continuous increase in total ED LoS from 5.7 million hours in 2019 to 6.2 million hours in 2039 if same human and physical resources, as well as same ED configuration, are used. The results from this study can provide health care provider with quantitative information on required staff and physical resources in the future and allow health care policymakers to improve modifiable factors contributing to the demand and performance of ED.

Influence of emergency department patient volumes on CT utilization rate of the physician in triage

BACKGROUND

Physician in triage (PIT) has been used as a potential solution to emergency department (ED) overcrowding and to decrease ED length of stay (LOS). This study examined the relationship between computerized tomography (CT) utilization of PIT and ED patient volumes. We hypothesized that despite the pressure on PIT to improve throughput on the busiest days, they will continue to utilize CT at the same rate.

METHODS

This retrospective chart review evaluated CT ordering patterns of PIT on patients with abdominal pain who presented to the ED over a 6-year period. CT utilization rate was calculated on days with the lowest 5% (LD5) and highest 5% (HD5) volumes based on average yearly volume. CT positive and negative rates were correlated with volume using Chi square analysis. Odds ratio and confidence intervals were calculated for the magnitude of effect difference.

RESULTS

We found no statistically significant difference in CT utilization rate on HD5 vs LD5 (p = 0.833). There was a statistically significant increase in the rate of negative CT scans on HD5 (p = 0.046) which represented a 17% relative difference. LOS was longer on HD5 (p = 0.013) and when a CT scan was ordered (p < 0.001).

CONCLUSION

No difference was found in the rate at which the PIT ordered CT scans on high volume vs low volume days. The rate of CT scans without clinically relevant findings did increase slightly on high volume days. LOS was longer on high volume days and when a CT was ordered.

Stochastic modeling of influenza spread dynamics with recurrences

We present results of a study of a simple, stochastic, agent-based model of influenza A infection, simulating its dynamics over the course of one flu season. Building on an early work of Bartlett, we define a model with a limited number of parameters and rates that have clear epidemiological interpretation and can be constrained by data. We demonstrate the occurrence of recurrent behavior in the infected number [more than one peak in a season], which is observed in data, in our simulations for populations consisting of cohorts with strong intra- and weak inter-cohort transmissibility. We examine the dependence of the results on epidemiological and population characteristics by investigating their dependence on a range of parameter values. Finally, we study infection with two strains of influenza, inspired by observations, and show a counter-intuitive result for the effect of inoculation against the strain that leads to the first wave of infection.

Ridesharing as an Alternative to Ambulance Transport for Voluntary Psychiatric Patients in the Emergency Department

Introduction

Emergency department (ED) crowding is a growing problem. Psychiatric patients have long ED lengths of stay awaiting placement and transportation to a psychiatric facility after disposition.

Methods

Retrospective analysis of length of ED stay after disposition for voluntary psychiatric patients before and after the use of Lyft ridesharing services for inter-facility transport.

Results

Using Lyft transport to an outside crisis center shortens time to discharge both statistically and clinically from 113 minutes to 91 minutes (p = 0.028) for voluntary psychiatric patients. Discharge time also decreased for involuntary patients from 146 minutes to 127 minutes (p = 0.0053).

Conclusion

Ridesharing services may be a useful alternative to medical transportation for voluntary psychiatric patients.

[Even low-acuity patients prefer hospital-based emergency care : A survey of non-urgent patients in an emergency department with unique regional position]

BACKGROUND

Besides increasing numbers of cases in German emergency departments (ED), the spectrum of attending patients is also changing. Patients with acute illnesses tend to prefer EDs to ambulatory care as primary contact point. This study examines the motives for use and use behavior of low-urgent ED-patients.

METHODS

Anonymous patient survey in the ED of Wolfsburg Hospital between 12/2015 and 03/2016 with descriptive analysis. All patients with low urgency (Manchester-Triage-System (MTS), levels blue and green) were eligible.

RESULTS

81.5% of respondents (729 evaluable out of 7000 questionnaires distributed) attended the ED between 8:00 a. m. and 5:00 p. m., 70.1 % of them were walk-in patients. The motive most frequently cited was that they would receive better care in the ED (48.3 %). Contrary to acuity assessment, 67.8 % of respondents considered themselves a medium to life-threatening emergency. As alternative option, 49.2 % would choose a nearby clinic in the region for their complaints.

CONCLUSION

Self-assessed urgency differs with acuity assessment according to MTS. Patients who fear an acute threat to their health do not use services provided in the ambulatory sector such as the emergency practice of the Association of Statutory Health Insurance Physicians in the immediate proximity sufficiently. Previous approaches for patient navigation do not seem to be successful in this setting. Strengthening of EDs as a single 24/7 access point for emergency care with simultaneous abolition of parallel care structures should be discussed.

Air ambulance outcome measures using Institutes of Medicine and Donabedian quality frameworks: protocol for a systematic scoping review

BACKGROUND

Dedicated air ambulance services provide a vital link for critically ill and injured patients to higher levels of care. The recent developments of pre-hospital and retrieval medicine create an opportunity for air ambulance providers and policy-makers to utilize a dashboard of quality performance measures to assess service performance. The objective of this scoping systematic review will be to identify and evaluate the range of air ambulance outcome measures reported in the literature and help to construct a quality dashboard based on a healthcare quality framework.

METHODS

We will search PubMed, MEDLINE, CINAHL, Scopus, and Cochrane Database of Systematic Reviews (from January 2001 onwards). Complementary searches will be conducted in selected relevant journals. We will include systematic reviews and observational studies (cohort, cross-sectional, interrupted time series) in critically ill or injured patients published in English and focusing on air ambulance delivery and quality measures. Two reviewers will independently screen all citations, full-text articles, and abstract data. The study methodological quality (or bias) will be appraised using appropriate tools. Analysis of the characteristics associated with outcome measure will be mapped and described according to the proposed healthcare quality framework.

DISCUSSION

This review will contribute to the development of an air ambulance quality dashboard designed to combine multiple quality frameworks. Our findings will provide a basis for helping decision-making in health planning and policy.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42019144652.

Association between long boarding time in the emergency department and hospital mortality: a single-center propensity score-based analysis

Once diagnostic work-up and first therapy are completed in patients visiting the emergency department (ED), boarding them within the ED until an in-hospital bed became available is a common practice in busy hospitals. Whether this practice may harm the patients remains a debate. We sought to determine whether an ED boarding time longer than 4 h places the patients at increased risk of in-hospital death. This retrospective, propensity score-matched analysis and propensity score-based inverse probability weighting analysis was conducted in an adult ED in a single, academic, 1136-bed hospital in France. All patients hospitalized via the adult ED from January 1, 2013 to March 31, 2018 were included. Hospital mortality (primary outcome) and hospital length of stay (LOS) were assessed in (1) a matched cohort (1:1 matching of ED visits with or without ED boarding time longer than 4 h but similar propensity score to experience an ED boarding time longer than 4 h); and (2) the whole study cohort. Sensitivity analysis to unmeasured confounding and analyses in pre-specified cohorts of patients were conducted. Among 68,632 included ED visits, 17,271 (25.2%) had an ED boarding time longer than 4 h. Conditional logistic regression performed on a 10,581 pair-matched cohort, and generalized estimating equations with adjustment on confounders and stabilized propensity score-based inverse probability weighting applied on the whole cohort showed a significantly increased risk of hospital death in patients experiencing an ED boarding time longer than 4 h: odds ratio (OR) of 1.13 (95% confidence interval [95% CI] 1.05-1.22), P = 0.001; and OR of 1.12 (95% CI 1.03-1.22), P = 0.007, respectively. Sensitivity analyses showed that these findings might be robust to unmeasured confounding. Hospital LOS was significantly longer in patients exposed to ED boarding time longer than 4 h: median difference 2 days (95% CI 1-2) (P < 0.001) in matched analysis and mean difference 1.15 days (95% CI 1.02-1.28) (P < 0.001) in multivariable unmatched analysis. In this single-center propensity score-based cohort analysis, patients experiencing an ED boarding time longer than 4 h before being transferred to an in-patient bed were at increased risk of hospital death.

Interventions to improve older adults' Emergency Department patient experience: A systematic review

STUDY OBJECTIVE

To summarize interventions that impact the experience of older adults in the emergency department (ED) as measured by patient experience instruments.

METHODS

This is a systematic review to evaluate interventions aimed to improve geriatric patient experience in the ED. We searched Ovid CENTRAL, Ovid EMBASE, Ovid MEDLINE and PsycINFO from inception to January 2019. The main outcome was patient experience measured through instruments to assess patient experience or satisfaction. The Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach was used to evaluate the confidence in the evidence available.

RESULTS

The search strategy identified 992 studies through comprehensive literature search and hand-search of reference lists. A total of 21 studies and 3163 older adults receiving an intervention strategy aimed at improve patient experience in the ED were included. Department-wide interventions, including geriatric ED and comprehensive geriatric assessment unit, focused care coordination with discharge planning and referral for community services, were associated with improved patient experience. Providing an assistive listening device to those with hearing loss and having a pharmacist reviewing the medication list showed an improved patient perception of quality of care provided. The confidence in the evidence available for the outcome of patient experience was deemed to be very low.

CONCLUSION

While all studies reported an outcome of patient experience, there was significant heterogeneity in the tools used to measure it. The very low certainty in the evidence available highlights the need for more reliable tools to measure patient experience and studies designed to measure the effect of the interventions.

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

BACKGROUND

Emergency department overcrowding has been associated with increased odds of hospital admission and mortality after discharge from the emergency department in predominantly adult cohorts. The objective of this study was to evaluate the association between crowding and the odds of several adverse outcomes among children seen at a pediatric emergency department.

METHODS

We conducted a retrospective cohort study involving all children visiting 8 Canadian pediatric emergency departments across 4 provinces between 2010 and 2014. We analyzed the association between mean departmental length of stay for each index visit and hospital admission within 7 days or death within 14 days of emergency department discharge, as well as hospital admission at index visit and return visits within 7 days, using mixed-effects logistic regression modelling.

RESULTS

A total of 1 931 465 index visits occurred across study sites over the 5-year period, with little variation in index visit hospital admission or median length of stay. Hospital admission within 7 days of discharge and 14-day mortality were low across provinces (0.8%-1.5% and < 10 per 100 000 visits, respectively), and their association with mean departmental length of stay varied by triage categories and across sites but was not significant. There were increased odds of hospital admission at the index visit with increasing departmental crowding among visits triaged to Canadian Triage and Acuity Scale (CTAS) score 1-2 (odds ratios [ORs] ranged from 1.01 to 1.08) and return visits among patients with a CTAS score of 4-5 discharged at the index visit at some sites (ORs ranged from 1.00 to 1.06).

INTERPRETATION

Emergency department crowding was not significantly associated with hospital admission within 7 days of the emergency department visit or mortality in children. However, it was associated with increased hospital admission at the index visit for the sickest children, and with return visits to the emergency department for those less sick.

Swamped: Emergency Department Crowding and Patient Mortality

U.S. emergency departments are experiencing extreme levels of crowding. This study estimates the impact of emergency department crowding on patient mortality. Identification relies on the abrupt crowding shocks felt by "old" emergency departments at the time a new emergency department opens nearby. Using death records linked to hospital administrative records, I find that a 10% alleviation of emergency department patient volume significantly lowers the average patient's chance of mortality. Improvements appear to be realized both inside the hospital and after the patient has left.

Impact on Length of Stay of a Hospital Medicine Emergency Department Boarder Service

BACKGROUND

It is not known whether delivering inpatient care earlier to patients boarding in the emergency department (ED) by a hospitalist-led team can decrease length of stay (LOS).

OBJECTIVE

To study the association between care provided by a hospital medicine ED Boarder (EDB) service and LOS.

DESIGN, SETTING, AND PARTICIPANTS

Retrospective cross-sectional study (July 1, 2016 to June 30, 2018) conducted at a single, large, urban academic medical center. Patients admitted to general medicine services from the ED were included. EDB patients were defined as those waiting for more than two hours for an inpatient bed. Patients were categorized as covered EDB, noncovered EDB, or nonboarder.

INTERVENTION

The hospital medicine team provided continuous care to covered EDB patients waiting for an inpatient bed.

PRIMARY OUTCOME AND MEASURES

The primary outcome was median hospital LOS defined as the time period from ED arrival to hospital departure. Secondary outcomes included ED LOS and 30-day ED readmission rate.

RESULTS

There were 8,776 covered EDB, 5,866 noncovered EDB, and 2,026 nonboarder patients. The EDB service covered 59.9% of eligible patients and 62.9% of total boarding hours. Median hospital LOS was 4.76 (interquartile range [IQR] 2.90-7.22) days for nonboarders, 4.92 (IQR 3.00-8.03) days for covered EDB patients, and 5.11 (IQR 3.16-8.34) days for noncovered EDB (P < .001). Median ED LOS for nonboarders was 5.6 (IQR 4.2-7.5) hours, 20.7 (IQR 15.8-24.9) hours for covered EDB, and 10.1 (IQR 7.9-13.8) hours for noncovered EDB (P < .001). There was no difference in 30-day ED readmission rates.

CONCLUSION

Admitted patients who were not boarders had the shortest LOS. Among boarded patients, coverage by a hospital medicine-led EDB service was associated with a reduced hospital LOS.

A novel engagement of suicidality in the emergency department: Virtual Collaborative Assessment and Management of Suicidality

OBJECTIVE

A novel avatar system (Virtual Collaborative Assessment and Management of Suicidality System; V-CAMS) for suicidal patients and medical personnel in emergency departments (EDs) was developed and evaluated. V-CAMS facilitates the delivery of CAMS and other evidence-based interventions to reduce unnecessary hospitalization, readmissions, and suicide following an ED visit.

METHOD

Using iterative user-centered design with 24 suicidal patients, an avatar prototype, "Dr. Dave" (based on Dr. Jobes) was created, along with other patient-facing tools; provider-facing tools, including a clinical decision support tool were also designed and tested to aid discharge disposition.

RESULTS

Feasibility tests supported proof of concept. Suicidal patients affirmed the system's overall merit, positive Perception of Care, and acceptability; medical providers (n = 21) viewed the system as an efficient, effective, and safe method of improving care for suicidal ED patients and reducing unnecessary hospitalization.

CONCLUSIONS

Technology tools including a patient-facing avatar and e-caring contacts, along with provider-facing tools may offer a powerful method of facilitating best-practice suicide prevention interventions and point-of-care tools for suicidal patients seeking ED services and their medical providers. Future directions include full development of V-CAMS and integration into a health electronic medical record and a rigorous randomized controlled trial to study its effectiveness.

Role of Point-of-Care Testing in Reducing Time to Treatment Decision-Making in Urgency Patients: A Randomized Controlled Trial

INTRODUCTION

Shortening emergency department (ED) visit time can reduce ED crowding, morbidity and mortality, and improve patient satisfaction. Point-of-care testing (POCT) has the potential to decrease laboratory turnaround time, possibly leading to shorter time to decision-making and ED length of stay (LOS). We aimed to determine whether the implementation of POCT could reduce time to decision-making and ED LOS.

METHODS

We conducted a randomized control trial at the Urgency Room of Siriraj Hospital in Bangkok, Thailand. Patients triaged as level 3 or 4 were randomized to either the POCT or central laboratory testing (CLT) group. Primary outcomes were time to decision-making and ED LOS, which we compared using Mann-Whitney-Wilcoxon test.

RESULTS

We enrolled a total of 248 patients: 124 in the POCT and 124 in the CLT group. The median time from arrival to decision was significantly shorter in the POCT group (106.5 minutes (interquartile [IQR] 78.3-140) vs 204.5 minutes (IQR 165-244), p <0.001). The median ED LOS of the POCT group was also shorter (240 minutes (IQR 161.3-410) vs 395.5 minutes (IQR 278.5-641.3), p <0.001).

CONCLUSION

Using a point-of-care testing system could decrease time to decision-making and ED LOS, which could in turn reduce ED crowding.

Non-urgent visits to emergency departments: a qualitative study in Iran exploring causes, consequences and solutions

OBJECTIVE

To explore the causes and consequences of non-urgent visits to emergency departments in Iran and then suggest solutions from the healthcare providers' viewpoint.

DESIGN

Qualitative descriptive study with in-depth, open-ended, and semistructured interviews, which were inductively analysed using qualitative content analysis.

SETTING

A territorial, educational and military hospital in Iran.

PARTICIPANTS

Eleven healthcare providers including eight nurses, two emergency medicine specialists and one emergency medicine resident.

RESULTS

Three overarching themes of causes and consequences of non-urgent visits to the emergency department in addition to four suggested solutions were identified. The causes have encompassed the specialised services in emergency department, demand-side factors, and supply-side factors. The consequences have been categorised into three overarching themes including the negative consequences on patients, healthcare providers and emergency departments as well as the health system in general. The possible solutions for limiting and controlling non-urgent visits also involved regulatory plans, awareness-raising plans, reforms in payment mechanisms, and organisational arrangements.

CONCLUSION

We highlighted the need for special attention to the appropriate use of emergency departments in Iran as a middle-income country. According to the complex nature of emergency departments and in order to control and prevent non-urgent visits, it can be suggested that policy-makers should design and implement a combination of the possible solutions.

The relationships between quality management systems, safety culture and leadership and patient outcomes in Australian Emergency Departments

Objective

We aimed to examine whether Emergency Department (ED) quality strategies, safety culture and leadership were associated with patient-level outcomes, after controlling for other organization-level factors, in 32 large Australian hospitals.

Design

Quantitative observational study, using linear and multi-level modelling to identify relationships between quality management systems at organization level; quality strategies at ED level for acute myocardial infarction (AMI), hip fracture and stroke; clinician safety culture and leadership and patient-level outcomes of waiting time and length of stay.

Setting

Thirty-two large Australian public hospitals.

Participants

Audit of quality management processes at organization and ED levels, senior quality manager at each of the 32 participating hospitals, 394 ED clinicians (doctors, nurses and allied health professionals).

Main Outcome Measure(s)

Within the multi-level model, associations were assessed between organization-level quality measures and ED quality strategies; organization-level quality measures and ED quality strategies and ward-level clinician measures of teamwork climate (TC), safety climate (SC) and leadership for AMI, hip fracture and stroke treatment conditions; and organization-level quality measures and ED quality strategies and ward-level clinician measures of TC, SC and leadership, and ED waiting time and length of stay (performance).

Results

We found seven statistically significant associations between organization-level quality systems and ED-level quality strategies; four statistically significant associations between quality systems and strategies and ED safety culture and leadership; and nine statistically significant associations between quality systems and strategies and ED safety culture and leadership, and ED waiting time and length of stay.

Conclusions

Organization-level quality structures influence ED-level quality strategies, clinician safety culture and leadership and, ultimately, waiting time and length of stay for patients. By focusing only on time-based measures of ED performance we risk punishing EDs that perform well on patient safety measures. We need to better understand the trade-offs between implementing safety culture and quality strategies and improving patient flow in the ED, and to place more emphasis on other ED performance measures in addition to time.

Productivity, efficiency, and overall performance comparisons between attendings working solo versus attendings working with residents staffing models in an emergency department: A Large-Scale Retrospective Observational Study

BACKGROUND AND OBJECTIVE

Attending physician productivity and efficiency can be affected when working simultaneously with Residents. To gain a better understanding of this effect, we aim to compare productivity, efficiency, and overall performance differences among Attendings working solo versus working with Residents in an Emergency Department (ED).

METHODS

Data were extracted from the electronic medical records of all patients seen by ED Attendings and/or Residents during the period July 1, 2014 through June 30, 2017. Attending productivity was measured based on the number of new patients enrolled per hour per provider. Attending efficiency was measured based on the provider-to-disposition time (PDT). Attending overall performance was measured by Attending Performance Index (API). Furthermore, Attending productivity, efficiency, and overall performance metrics were compared between Attendings working solo and Attendings working with Residents. The comparisons were analyzed after adjusting for confounders via propensity score matching.

RESULTS

A total of 15 Attendings and 266 Residents managing 111,145 patient encounters over the study period were analyzed. The mean (standard deviation) of Attending productivity and efficiency were 2.9 (1.6) new patients per hour and 2.7 (1.8) hours per patient for Attendings working solo, in comparison to 3.3 (1.9) and 3.0 (2.0) for Attendings working with Residents. When paired with Residents, the API decreased for those Attendings who had a higher API when working solo (average API dropped from 0.21 to 0.19), whereas API increased for those who had a lower API when working solo (average API increased from 0.13 to 0.16).

CONCLUSION

In comparison to the Attending working solo staffing model, increased productivity with decreased efficiency occurred among Attendings when working with Residents. The overall performance of Attendings when working with Residents varied inversely against their performance when working solo.

Eye-related Emergency Department Visits with Ophthalmology Consultation in Taiwan: Visual Acuity as an Indicator of Ocular Emergency

To investigate the epidemiology of eye-related emergency department (ED) visits and to determine if visual acuity (VA) could be an indicator for determining the timing for managing ocular emergencies, we have conducted the retrospective study which included patients visited the ED for eye-related reasons and had received ophthalmology consultations at a referral center in Taiwan in 2015. Among 46,514 consultations, 5,493 were ophthalmology consultations (11.8%). After exclusion, 5,422 were eligible for analysis. Among them, 1,165 (21.5%) had not likely emergent diagnoses, 4,048 (74.7%) had likely emergent diagnoses, and 209 patients (3.9%) could not be determined. The logMAR VA was 0.31 ± 0.48, 0.66 ± 0.78, and 1.00 ± 0.94 in groups with not likely emergent, likely emergent, and undetermined diagnoses, respectively. Among all eye-related ED visits, 10.3% of patients received ophthalmologic intervention or were admitted to the ophthalmology ward. A LogMAR VA score of 0.45 (decimal equivalent of 0.4) had the highest discrimination power for identifying whether a patient needed ophthalmology intervention or admission to ophthalmology ward (area under the curve: 0.802, sensitivity: 0.800, specificity: 0.672). In our study, we found VA could be an indicator for determining the priority and time of ocular emergencies requiring ophthalmic intervention in patients visiting the ED for eye-related reasons.

Self-Check-In Kiosks Utilization and Their Association With Wait Times in Emergency Departments in the United States

BACKGROUND

Delayed care in emergency departments (EDs) is a serious problem in the United States. Patient wait time is considered a critical measure of delayed care in EDs. Several strategies have been employed by EDs to reduce wait time, including implementation of self-check-in kiosks. However, the effect of kiosks on wait time in EDs is understudied.

OBJECTIVES

To assess the association between patient wait time and utilization of self-check-in kiosks in EDs. To investigate a series of other patient-, ED-, and hospital-level predictors of wait time in EDs.

METHODS

Using data from the 2015 and 2016 National Hospital Ambulatory Medical Care Survey, we analyzed 40,528 ED visits by constructing a multivariable linear regression model of the log-transformed wait time data as an outcome, then computing percent changes in wait times.

RESULTS

During the study period, about 9% of EDs in the United States implemented kiosks. In our linear regression model, the wait time in EDs with kiosk self-check-in services was 56.8% shorter (95% confidence interval ̶ 130% to ̶ 6.4%, p < 0.05) compared with EDs without kiosk services. In addition to kiosks, patients' day of visit, arrival time, triage assessment, arrival by ambulance, chronic medical conditions, ED boarding, hospitals' full-capacity protocol, and hospitals' location were significant predictors of wait time.

CONCLUSIONS

Self-check-in kiosks are associated with shorter ED wait time in the United States. However, prolonged ED wait time continues to be a system-wide problem, and warrants multilayered interventions to address this challenge for those who are in acute need of immediate care.

Forecasting hourly emergency department arrival using time series analysis

Background/aims

The stochastic arrival of patients at hospital emergency departments complicates their management. More than 50% of a hospital's emergency department tends to operate beyond its normal capacity and eventually fails to deliver high-quality care. To address this concern, much research has been carried out using yearly, monthly and weekly time-series forecasting. This article discusses the use of hourly time-series forecasting to help improve emergency department management by predicting the arrival of future patients.

Methods

Emergency department admission data from January 2014 to August 2017 was retrieved from a hospital in Iowa. The auto-regressive integrated moving average (ARIMA), Holt–Winters, TBATS, and neural network methods were implemented and compared as forecasters of hourly patient arrivals.

Results

The auto-regressive integrated moving average (3,0,0) (2,1,0) was selected as the best fit model, with minimum Akaike information criterion and Schwartz Bayesian criterion. The model was stationary and qualified under the Box–Ljung correlation test and the Jarque–Bera test for normality. The mean error and root mean square error were selected as performance measures. A mean error of 1.001 and a root mean square error of 1.55 were obtained.

Conclusions

The auto-regressive integrated moving average can be used to provide hourly forecasts for emergency department arrivals and can be implemented as a decision support system to aid staff when scheduling and adjusting emergency department arrivals.

Advanced Practice Providers in the Field: Implementation of the Los Angeles Fire Department Advanced Provider Response Unit

Background: To address the growing number of low-acuity patients in the 911-EMS system, the Los Angeles Fire Department (LAFD) launched a pilot program placing an Advanced Provider Response Unit (APRU) in the field so that a prehospital nurse practitioner (NP) could offer patients treatment/release on scene, alternative destination transport, and linkage with social services. Objective: To describe the initial 18-month experience implementing this new APRU. Methods: This is a retrospective, descriptive review of all APRU-attended patients from January 2016 to June 2017. The APRU was an ambulance staffed by an NP and a firefighter/paramedic, equipped with basic point-of-care testing capability, and linked to incidents by either being summoned by on-scene first responders or by monitoring EMS radio traffic. Descriptive statistics were used and outcome measures included counts of clients attended, treat/release rates, impact on total time in service for other LAFD resources, patient need for subsequent re-use of 911 and self-reported experience of care. Results: During its first 18 months in service, the APRU attended 812 patients, including 792 911-patient incidents. 400 of these 911-patients (50.5%) were treated and released on scene or medically cleared and transported to an alternative site for specialty care. This included 76 patients with primary psychiatric complaints who were medically-cleared and transported directly to a mental health urgent care center. An additional 18 high utilizers of 911 were attended by the APRU and connected with a social work organization, and 12 of 18 (66.7%) decreased their use of EMS in the 90-days following APRU evaluation and referral. Of the 400 911-patients that did not go to the emergency department (ED), 26 (6.5%) re-contacted 911 within 3 days: all were transported to the ED with normal vital signs and without prehospital intervention, and all were ultimately discharged home from the ED. As a result of APRU intervention, 458 other LAFD field resources were quickly placed back in service and made available for the next time-critical call. Conclusions: Advanced practice providers such as nurse practitioners can be incorporated into the prehospital setting to address a growing subset of 911-patients whose needs can be met outside of the ED.

Patient care pathways in acute heart failure and their impact on in-hospital mortality, a French national prospective survey

Background

Our purpose was to describe the care pathway of patients hospitalized for acute heart failure (AHF) and investigate whether a management involving a cardiology department had an impact on in-hospital mortality.

Methods

Between June 2014 and October 2018, we included patients hospitalized for AHF in 24 French hospitals. Characteristics of the episode, patient’s care pathway and outcomes were recorded on a specific assessment tool. The primary outcome was the association between patient care pathway and in-hospital mortality. The independent association between admission to a cardiology ward and in-hospital mortality was assessed through a multivariate regression model and propensity score matching.

Results

A total of 3677 patients, mean age of 78, were included. The in-hospital mortality rate was 8% (n = 287) and was associated on multivariate regression with advanced age, presence of sepsis, of cardiogenic shock, high New York Heart Association (NYHA) score and increased plasma creatinine level on admission. High blood pressure and admission to a cardiology department appeared as protective factors. After propensity score matching, hospitalization in a cardiology department remained a protective factor of in-hospital mortality (OR = 0.61 [0.44–0.84], p = 0.002).

Conclusion

A hospital course of care involving a cardiology department was associated with an increase in hospital survival in AHF patients. These finding may highlight the importance of collaboration between cardiologists and other in-hospitals specialties, such as emergency physicians, in order to find the best in-hospital pathway for patients with AHF.

Clinical Trial NCT03903198.

Effectiveness of interventions to alleviate emergency department crowding by older adults: a systematic review

BACKGROUND

The growing demand for elderly care often exceeds the ability of emergency department (ED) services to provide quality of care within reasonable time. The purpose of this systematic review is to assess the effectiveness of interventions on reducing ED crowding by older patients, and to identify core characteristics shared by successful interventions.

METHODS

Six major biomedical databases were searched for (quasi)experimental studies published between January 1990 and March 2017 and assessing the effect of interventions for older patients on ED crowding related outcomes. Two independent reviewers screened and selected studies, assessed risk of bias and extracted data into a standardized form. Data were synthesized around the study setting, design, quality, intervention content, type of outcome and observed effects.

RESULTS

Of the 16 included studies, eight (50%) were randomized controlled trials (RCTs), two (13%) were non-RCTs and six (34%) were controlled before-after (CBA) studies. Thirteen studies (81%) evaluated effects on ED revisits and four studies (25%) evaluated effects on ED throughput time. Thirteen studies (81%) described multicomponent interventions. The rapid assessment and streaming of care for older adults based on time-efficiency goals by dedicated staff in a specific ED unit lead to a statistically significant decrease of ED length of stay (LOS). An ED-based consultant geriatrician showed significant time reduction between patient admission and geriatric review compared to an in-reaching geriatrician.

CONCLUSION

Inter-study heterogeneity and poor methodological quality hinder drawing firm conclusions on the intervention's effectiveness in reducing ED crowding by older adults. More evidence-based research is needed using uniform and valid effect measures.

TRIAL REGISTRATION

The protocol is registered with the PROSPERO International register of systematic reviews: ID = CRD42017075575).

Interventions to reduce emergency department consultation time: A systematic review of the literature

OBJECTIVES

Overcrowding in the emergency department (ED) is associated with increased morbidity and mortality. Studies have shown that consultation to decision time, defined as the time when a consultation has been accepted by a specialty service to the time when disposition decision is made, is one important contributor to the overall length of stay in the ED.The primary objective of this review is to evaluate the impact of workflow interventions on consultation to decision time and ED length of stay in patients referred to consultant services in teaching centres, and to identify barriers to reducing consultation to decision time.

METHODS

This systematic review was performed in accordance with the PRISMA guidelines. An electronic search was conducted to identify relevant studies from MEDLINE, EMBASE, Cochrane Central, and CINAHL databases. Study screening, data extraction, and quality assessment were carried out by two independent reviewers.

RESULTS

A total of nine full text articles were included in the review. All studies reported a decrease in consultation to decision time post intervention, and two studies reported cost savings. Interventions studied included short messaging service (SMS) messaging, education with audit and feedback, standardization of the admission process, implementation of institutional guideline, modification of the consultation process, and staffing schedules. Overall study quality was fair to poor.

CONCLUSIONS

The limited evidence suggests that audit and feedback in the form of SMS messaging, direct consultation to senior physicians, and standardization of the admission process may be the most effective and feasible interventions. Additional high-quality studies are required to explore sustainable interventions aimed at reducing consultation to decision time.

Effectiveness of Implementing Emergency Severity Index Triage System in a Selected Primary Health Care Center in Oman: A Quasi-Experimental Study

BACKGROUND

Because most primary health care centers in Oman do not use a formal triage system, there are no available data on the effectiveness of implementing this system.

PURPOSE

To assess the effectiveness of implementing an Emergency Severity Index triage system in primary health care centers in Oman.

METHODS

A pretest/posttest quasi-experimental design was used. The sample comprised 187 patients before Emergency Severity Index implementation and 102 patients after implementation. Waiting time, length of stay, patient satisfaction, and accuracy of classification were compared across the 2 groups.

RESULTS

The mean time (hour:minute) from registration to triage was reduced in the post-Emergency Severity Index group (mean = 0:18, SD = 0:14) compared with the pre-Emergency Severity Index group (mean = 0:23, SD = 0:19) (t = 2.59, P = 0.01). Furthermore, the mean length of stay was reduced in the post-Emergency Severity Index group (mean = 1:09, SD = 0:37) compared with that of the preimplementation group (mean = 1:24, SD = 0:41) (t = 3.10, P = 0.002). Patient satisfaction in the postimplementation group was improved (mean = 66.95, SD = 8.33) compared with that of the Emergency Severity Index group (mean = 65.01, SD = 8.73), but it did not reach statistical significance (t = -1.83, P = 0.07). The inter-rater agreement of triage level in post-Emergency Severity Index implementation markedly improved in the postimplementation group (Cohen's kappa = 0.910, P < 0.001) compared with that of the preimplementation group (Cohen's kappa = 0.082, P = 0.005).

CONCLUSIONS

Although this is a single-setting study, the results have shown that the Emergency Severity Index system can contribute to a decrease in the negative crowding outcomes in primary health care centers in Oman.

Challenges, consequences, and lessons for way-outs to emergencies at hospitals: a systematic review study

Background

Emergency Department (ED) overcrowding adversely affects patients’ health, accessibility, and quality of healthcare systems for communities. Several studies have addressed this issue. This study aimed to conduct a systematic review study concerning challenges, lessons and way outs of clinical emergencies at hospitals.

Methods

Original research articles on crowding of emergencies at hospitals published from 1st January 2007, and 1st August 2018 were utilized. Relevant studies from the PubMed and EMBASE databases were assessed using suitable keywords. Two reviewers independently screened the titles, abstracts and the methodological validity of the records using data extraction format before their inclusion in the final review. Discussions with the senior faculty member were used to resolve any disagreements among the reviewers during the assessment phase.

Results

Out of the total 117 articles in the final record, we excluded 11 of them because of poor quality. Thus, this systematic review synthesized the reports of 106 original articles. Overall 14, 55 and 29 of the reviewed refer to causes, effects, and solutions of ED crowding, respectively. The review also included four articles on both causes and effects and another four on causes and solutions. Multiple individual patients and healthcare system related challenges, experiences and responses to crowding and its consequences are comprehensively synthesized.

Conclusion

ED overcrowding is a multi-facet issue which affects by patient-related factors and emergency service delivery. Crowding of the EDs adversely affected individual patients, healthcare delivery systems and communities. The identified issues concern organizational managers, leadership, and operational level actions to reduce crowding and improve emergency healthcare outcomes efficiently.

Canadian in-hospital mortality for patients with emergency-sensitive conditions: a retrospective cohort study

Background

The emergency department (ED) sensitive hospital standardized mortality ratio (ED-HSMR) measures risk-adjusted mortality for patients admitted to hospital with conditions for which ED care may improve health outcomes. This study aimed to describe in-hospital mortality across Canadian provinces using the ED-HSMR.

Methods

Hospital discharge data were analyzed from April 2009 to March 2012. The ED-HSMR was calculated as the ratio of observed deaths among patients with emergency-sensitive conditions in a hospital during a year (2010–11 or 2011–12) to the expected deaths for the same patients during the reference year (2009–10), multiplied by 100. The expected deaths were estimated using predictive models fitted from the reference year. Aggregated provincial ED-HSMR values were calculated. A HSMR value above or below 100 respectively means that more or fewer deaths than expected occurred within a province.

Results

During the study period, 1,335,379 patients were admitted to hospital in Canada with an emergency-sensitive condition as the most responsible diagnosis. More in-hospital deaths (95% confidence interval) than expected were respectively observed for the years 2010–11 and 2011–12 in Newfoundland [124.3 (116.3–132.6); & 117.6 (110.1–125.5)] and Nova Scotia [116.4 (110.7–122.5) & 108.7 (103.0–114.5)], while mortality was as expected in Prince Edward Island [99.9 (86.5–114.8) & 100.7 (87.5–115.3)] and Manitoba [99.2 (94.5–104.1) & 98.3 (93.5–103.3)], and less than expected in all other provinces and territories.

Conclusions

Our study revealed important variation in risk-adjusted mortality for patients admitted to hospital with emergency-sensitive conditions among Canadian provinces. The ED-HSMR may be a useful outcome indicator to complement existing process indicators in measuring ED performance.

Trial registration

N/A – Retrospective cohort study.

Machine learning for prediction of septic shock at initial triage in emergency department

BACKGROUND

We hypothesized utilizing machine learning (ML) algorithms for screening septic shock in ED would provide better accuracy than qSOFA or MEWS.

METHODS

The study population was adult (≥20 years) patients visiting ED for suspected infection. Target event was septic shock within 24 h after arrival. Demographics, vital signs, level of consciousness, chief complaints (CC) and initial blood test results were used as predictors. CC were embedded into 16-dimensional vector space using singular value decomposition. Six base learners including support vector machine, gradient-boosting machine, random forest, multivariate adaptive regression splines and least absolute shrinkage and selection operator and ridge regression and their ensembles were tested. We also trained and tested MLP networks with various setting.

RESULTS

A total of 49,560 patients were included and 4817 (9.7%) had septic shock within 24 h. All ML classifiers significantly outperformed qSOFA score, MEWS and their age-sex adjusted versions with their AUROC ranging from 0.883 to 0.929. The ensembles of the base classifiers showed the best performance and addition of CC embedding was associated with statistically significant increases in performance.

CONCLUSIONS

ML classifiers significantly outperforms clinical scores in screening septic shock at ED triage.

[Predictors of Utilization of Cardiovascular and Respiratory Emergency Department Visits - what Impact does the Environment have?]

AIM

There has been an increasing number of emergency department (ED) visits recently. It is unclear whether, in addition to a shift in services from the outpatient to the inpatient sector, other causes, (e. g. environmental factors), play a role. The aim was to investigate associations between the number of cardiovascular and respiratory ED visits and environmental variables.

METHODS

Highly correlated environmental data were subjected to a principal component analysis. By using cross-correlation functions, environmental variables with time lags that showed the highest correlation with the number of ED visits were taken into consideration in the UNIANOVA analysis model, together with, among others, the day of the week and interaction terms.

RESULTS

The final regression model explained 47% of the variation in respiratory ED visits demonstrating main effects for Mondays (B=10.69; p<0.001). Season showed significant effects with highest ED visits in autumn. No direct associations between environmental variables and number of respiratory ED visits were found. The results for the cardiovascular outcome were less expressive (R²=0.20). Again, the day of the week had the main effect on cardiovascular ED visits (p<0.001).

CONCLUSIONS

The results suggest that weekdays had the main effect on ED visits. In future, we will collect and analyze environmental data at the micro level to achieve a higher model quality and better interpretability.

Analysis of antibiotic use in a large network of emergency departments

Purpose

To assess antibiotic selection, administration, and prescribing practices in emergency departments across a large hospital system using evidence-based practices and susceptibility patterns.

Methods

This retrospective data review was conducted using health system–level electronic data compiled from 145 emergency departments (EDs) across the United States. Data were examined for national generalizability, most common diagnoses of infectious origin seen in nonadmitted patients in the ED, most commonly administered antibiotics in the ED, and geographically defined areas’ unique patterns of antibiotic resistance and susceptibility.

Results

More than 627,000 unique patient encounters and 780,000 antibiotic administrations were assessed for trends in patient demographics, antibiotics administered for a diagnosis of infectious origin, and corresponding susceptibility patterns. Results indicated that practices in the EDs of this health system aligned with evidence-based practices for streptococcal pharyngitis, otitis media, cellulitis, and uncomplicated urinary tract infections.

Conclusion

These results provide a representative sample of the current state of practices within many EDs across the United States for nonadmitted patients. A similar data reconstruction can be completed by other health systems to assess their prescribing practices in the ED to improve and elevate care for patients visiting the emergency room and treated as outpatients.

Management of patients brought in by ambulance to the emergency department: role of the Advanced Musculoskeletal Physiotherapist

Objective The aim of the present study was to evaluate the role of the Advanced Musculoskeletal Physiotherapist (AMP) in managing patients brought in by ambulance to the emergency department (ED). Methods This study was a dual-centre observational study. Patients brought in by ambulance to two Melbourne hospitals over a 12-month period and seen by an AMP were compared with a matched group seen by other ED staff. Primary outcome measures were wait time and length of stay (LOS) in the ED. Results Data from 1441 patients within the Australasian Triage Scale (ATS) Categories 3-5 with musculoskeletal complaints were included in the analysis. Subgroup analysis of 825 patients aged ≤65 years demonstrated that for Category 4 (semi-urgent) patients, the median wait time to see the AMP was 9.5min (interquartile range (IQR) 3.25-18.00min) compared with 25min (IQR 10.00-56.00min) to see other ED staff (P ≤ 0.05). LOS analysis was undertaken on patients discharged home and demonstrated that there was a 1.20 greater probability (95% confidence interval 1.07-1.35) that ATS Category 4 patients managed by the AMP were discharged within the 4-hour public hospital target compared with patients managed by other ED staff: 87.04% (94/108) of patients managed by the AMPs met this standard compared with 72.35% (123/170) of patients managed by other ED staff (P=0.002). Conclusions Patients aged ≤65 years with musculoskeletal complaints brought in by ambulance to the ED and triaged to ATS Category 4 are likely to wait less time to be seen and are discharged home more quickly when managed by an AMP. This study has added to the evidence that AMPs improve patient flow in the ED, freeing up time for other ED staff to see higher-acuity, more complex patients. What is known about the topic? There is a growing body of evidence establishing that AMPs improve the flow of patients presenting with musculoskeletal conditions to the ED through reduced wait times and LOS and, at the same time, providing good-quality care and enhanced patient satisfaction. What does this paper add? Within their primary contact capacity, AMPs also manage patients who are brought in by ambulance presenting with musculoskeletal conditions. To the authors' knowledge, there is currently no available literature documenting the performance of AMPs in the management of this cohort of patients. What are the implications for practitioners? This study has added to the body of evidence that AMPs improve patient flow in the ED and illustrates that AMPs, by seeing patients brought in by ambulance, are able to have a positive impact on the pressures increasingly facing the Victorian Ambulance Service and emergency hospital care.

Effect of post-hospital discharge telephonic intervention on hospital readmissions in a privately insured population in Australia

Objective The aim of the present study was to evaluate the effect of telephone support after hospital discharge to reduce early hospital readmission among members of the disease management program My Health Guardian (MHG) offered by the Hospitals Contribution Fund of Australia (HCF). Methods A quasi-experimental retrospective design compared 28-day readmissions of patients with chronic disease between two groups: (1) a treatment group, consisting of MHG program members who participated in a hospital discharge (HODI) call; and (2) a comparison group of non-participating MHG members. Study groups were matched for age, gender, length of stay, index admission diagnoses and prior MHG program exposure. Adjusted incidence rate ratios (IRR) and odds ratios (OR) were estimated using zero-inflated negative binomial and logistic regression models respectively. Results The treatment group exhibited a 29% lower incidence of 28-day readmissions than the comparison group (adjusted IRR 0.71; 95% confidence interval (CI) 0.59-0.86). The odds of treatment group members being readmitted at least once within 28 days of discharge were 25% lower than the odds for comparison members (adjusted OR 0.75; 95% CI 0.63-0.89). Reduction in readmission incidence was estimated to avoid A$713730 in cost. Conclusions The HODI program post-discharge telephonic support to patients recently discharged from a hospital effectively reduced the incidence and odds of hospital 28-day readmission in a diseased population. What is known about the topic? High readmission rates are a recognised problem in Australia and contribute to the over 600000 potentially preventable hospitalisations per year. What does this paper add? The present study is the first study of a scalable intervention delivered to an Australian population with a wide variety of conditions for the purpose of reducing readmissions. The intervention reduced 28-day readmission incidence by 29%. What are the implications for practitioners? The significant and sizable effect of the intervention support the delivery of telephonic support after hospital discharge as a scalable approach to reduce readmissions.

[Routine Data from Emergency Departments: Varying Documentation Standards, Billing Modalities and Data Custodians at an Identical Unit of Care]

Hintergrund Nicht nur im Kontext der Neuordnung der Notfallversorgung in Deutschland besteht derzeit ein hoher Bedarf an Daten aus Notaufnahmen. Für die Versorgungsforschung bieten sich Daten an, welche auf gesetzlicher Grundlage generiert werden. Unterschiedliche Kostenträger und Abrechnungsmodi stellen eigene Anforderungen an die Dokumentation dieser Routinedaten.

Methodische Herausforderungen Aufgrund der sektoralen Trennung gibt es keinen Datensatz oder Datenhalter, der Auskunft über alle Notaufnahmebehandlungen geben kann. Aus administrativer Sicht gilt die gesamte Notaufnahmebehandlung als ambulant oder stationär, tatsächlich wird die Entscheidung darüber erst während der Versorgung getroffen. Für die stationäre Versorgung existiert ein administratives Notfallkennzeichen, allerdings kein direktes Merkmal für Notaufnahmebehandlungen. Bei Abrechnung ambulanter Fälle über die kassenärztlichen Vereinigungen ist mindestens eine Diagnose (ICD-10-Kode) zu erfassen, versehen mit einem Kennzeichen zur Diagnosesicherheit. Es können mehrere ICD-10-Kodes ohne Hierarchie angegeben werden. Bei stationär behandelten Patienten ist eine Aufnahmediagnose und nach Behandlungsende die Hauptdiagnose und ggf. Nebendiagose(n) an die zuständige Krankenkasse zu übermitteln. Die gesetzliche Unfallversicherung hat eigene Dokumentationsanforderungen.

Lösungsansätze Je nach Forschungsfrage und Studiendesign sind unterschiedliche Vorgehensweisen erforderlich. Stammen die Daten unmittelbar aus Notaufnahmen bzw. Kliniken ist eine Information über den Kostenträger und den Abrechnungsmodus hilfreich. Bei Nutzung von Krankenkassendaten muss die Identifikation von stationär behandelten Patienten in einer Notaufnahme aktuell indirekt erfolgen. Dazu können unter anderem die Parameter Aufnahmegrund und definierte „eindeutige“ Notfall-Diagnosen herangezogen werden. Die fallpauschalenbezogene Krankenhausstatistik hat eigene Limitationen, enthält dafür aber die stationären Fälle aller Kostenträger.

Diskussion Die divergierenden Anforderungen an die administrative Dokumentation verursachen einen hohen Aufwand in den Kliniken. Perspektivisch ist eine Vereinheitlichung der Leistungserfassung und Dokumentation von Notfallbehandlungen aller Kostenarten auch zur Generierung von validen, vergleichbaren und repräsentativen Daten für die Versorgungsforschung erstrebenswert. Die Einführung eines eigenen Fachabteilungsschlüssels würde zur Identifikation von Notaufnahmebehandlungen beitragen.

Simulation of the Emergency Department Care Process for Pediatric Traumatic Brain Injury

The treatment of patients in the emergency department (ED) with severe pediatric traumatic brain injury (TBI) is challenging, and treatment process strategies that facilitate good outcomes are not well documented. The overall objective of this study was to identify factors that can affect the care process associated with pediatric TBI. This objective was achieved using a discrete-event simulation model of patients with TBI as they progress through the ED treatment process of a Level I trauma center. This model was used to identify areas where the ED length of stay can be reduced. The number of patients arriving at any given time was also varied in the simulation model to observe the impact to bed allocation policies and changes in staff and equipment. The findings showed that implementing changes in the ED (i.e., availability of two computerized tomography scanners, formation of resuscitation teams that included eight staff personnel, and modifying the bed allocation policy) could result in a 17% reduction in the mean ED length of stay. The study outcomes would be of interest to those (e.g., health administrators, health managers, and physicians) who can make decisions related to the treatment process in an ED.

Efficacy of High-Sensitivity Troponin T in Identifying Very-Low-Risk Patients With Possible Acute Coronary Syndrome

Importance

Physicians need information on how to use the first available high-sensitivity troponin (hsTnT) assay in the United States to identify patients at very low risk for 30-day adverse cardiac events (ACE).

Objective

To determine whether a negative hsTnT assay at 0 and 3 hours following emergency department presentation could identify patients at less than 1% risk of a 30-day ACE.

Design, Setting, and Participants

A prospective, observational study at 15 emergency departments in the United States between 2011 and 2015 that included individuals 21 years and older, presenting to the emergency department with suspected acute coronary syndrome. Of 1690 eligible individuals, 15 (no cardiac troponin T measurement) and 320 (missing a 0-hour or 3-hour sample) were excluded from the analyses.

Exposures

Serial hsTnT measurements (fifth-generation Roche Elecsys hsTnT assay).

Main Outcomes and Measures

Serial blood samples from each patient were collected after emergency department presentation (once identified as a potential patient with acute coronary syndrome) and 3 hours, 6 to 9 hours, and 12 to 24 hours later. Adverse cardiac events were defined as myocardial infarction, urgent revascularization, or death. The upper reference level for the hsTnT assay, defined as the 99th percentile, was established as 19 ng/L in a separate healthy US cohort. Patients were considered ruled out for acute myocardial infarction if their hsTnT level at 0 hours and 3 hours was less than the upper reference level. Gold standard diagnoses were determined by a clinical end point committee. Evaluation of assay clinical performance for acute myocardial infarction rule-out was prespecified; the hypothesis regarding 30-day ACE was formulated after data collection.

Results

In 1301 healthy volunteers (50.4% women; median age, 48 years), the upper reference level was 19 ng/L. In 1600 patients with suspected acute coronary syndrome (48.4% women; median age, 55 years), a single hsTnTlevel less than 6 ng/L at baseline had a negative predictive value for AMI of 99.4%. In 974 patients (77.1%) with both 0-hour and 3-hour hsTnT levels of 19 ng/L or less, the negative predictive value for 30-day ACE was 99.3% (95% CI, 99.1-99.6). Using sex-specific cutpoints, C statistics for women (0.952) and men (0.962) were similar for acute myocardial infarction.

Conclusions and Relevance

A single hsTnT level less than 6 ng/L was associated with a markedly decreased risk of AMI, while serial levels at 19 ng/L or less identified patients at less than 1% risk of 30-day ACE.

Can comprehensive geriatric assessment be delivered without the need for geriatricians? A formative evaluation in two perioperative surgical settings

INTRODUCTION

the aim of this study was to design an approach to improving care for frail older patients in hospital services where comprehensive geriatric assessment (CGA) was not part of the clinical tradition.

METHODS

the intervention was based on the principles of CGA, using quality improvement methodology to embed care processes. Qualitative methods and coproduction were used to inform development of the intervention, which was directed towards the health care professionals involved in peri-operative/surgical cancer care pathways in two large UK teaching hospitals. A formative, qualitative evaluation was undertaken; data collection and analysis were guided by normalisation process theory.

RESULTS

the clinicians involved agreed to use the toolkit, identifying potential benefits including improved surgical decision making and delivery of interventions pre-operatively. However, sites concluded that pre-operative assessment was not the best place for CGA, and at the end of the 12-month trial, implementation was still nascent. Efforts competed against the dominance of national time-limited targets, and concerns relating to patients' immediate treatment and recovery. Some participants involved in the peri-operative pathway felt that CGA required ongoing specialist input from geriatricians, but it was not clear that this was sustainable.

CONCLUSIONS

clinical toolkits designed to empower non-geriatric teams to deliver CGA were received with initial enthusiasm, but did not fully achieve their stated aims due to the need for an extended period of service development with geriatrician support, competing priorities, and divergent views about appropriate professional domains.

Do health care professionals' perceptions help to measure the degree of overcrowding in the emergency department? A pilot study in an Italian University hospital

BACKGROUND

Overcrowding in emergency departments (EDs) is internationally recognized as one of the greatest challenges to healthcare provision. Numerous studies have highlighted the ill-effects of overcrowding, including increased length of stay, mortality and cost per admission. This study measures overcrowding in EDs through health care professionals' perceptions of it, comparing the results with the NEDOCS score, an objectively validated measurement tool and describing meaningful tools and strategies used to manage ED overcrowding.

METHODS

This single-centre prospective, observational, pilot study was conducted from February 19th to March 7th, 2018 at the ED in the University Hospital of Ferrara, Italy to measure the agreement of the NEDOCS, comparing objective scores with healthcare professionals' perception of overcrowding, using the kappa statistic assessing linear weights according to Cohen's method. The tools and strategies used to manage ED overcrowding are described.

RESULTS

Seventy-two healthcare professionals (66.1% of 109 eligible subjects) were included in the analyses. The study obtained a total of 262 surveys from 23 ED physicians (31.9%), 31 nurses (43.1%) and 18 nursing assistants (25.0%) and a total of 262 NEDOCS scores. The agreement between the NEDOCS and the subjective scales was poor (k = 0.381, 95% CI 0.313-0.450).

CONCLUSIONS

The subjective health care professionals' perceptions did not provide an adequate real-time measure of the current demands and capacity of the ED. A more objective measure is needed to make quality decisions about health care professional needs and the ability to manage patients to ensure the provision of proper care.

The impact of a multimodal intervention on emergency department crowding and patient flow

Objective

The objective of this study is to assess the impact of a multimodal intervention on emergency department (ED) crowding and patient flow in a Dutch level 1 trauma center.

Methods

In this cross-sectional study, we compare ED crowding and patient flow between a 9-month pre-intervention period and a 9-month intervention period, during peak hours and overall (24/7). The multimodal intervention included (1) adding an emergency nurse practitioner (ENP) and (2) five medical specialists during peak hours to the 24/7 available emergency physicians (EPs), (3) a Lean programme to improve radiology turnaround times, and (4) extending the admission offices’ openings hours.

Crowding is measured with the modified National ED OverCrowding Score (mNEDOCS). Furthermore, radiology turnaround times, patients’ length of stay (LOS), proportion of patients leaving without being seen (LWBS) by a medical provider, and unscheduled representations are assessed.

Results

The number of ED visits were grossly similar in the two periods during peak hours (15,558 ED visits in the pre-intervention period and 15,550 in the intervention period) and overall (31,891 ED visits in the pre-intervention period vs. 32,121 in the intervention period). During peak hours, ED crowding fell from 18.6% (pre-intervention period) to 3.5% (intervention period), radiology turnaround times decreased from an average of 91 min (interquartile range 45–256 min) to 50 min (IQR 30–106 min., p < 0.001) and LOS reduced with 13 min per patient from 167 to 154 min (p < 0.001). For surgery, neurology and cardiology patients, LOS reduced significantly (with 17 min, 25 min, and 8 min. respectively), while not changing for internal medicine patients. Overall, crowding, radiology turnaround times and LOS also decreased. Less patients LWBS in the intervention period (270 patients vs. 348 patients, p < 0.001) and less patients represented unscheduled within 1 week after the initial ED visit: 864 (2.7%) in the pre-intervention period vs. 645 (2.0%) patients in the intervention period, p < 0.001.

Conclusions

In this hospital, a multimodal intervention successfully reduces crowding, radiology turnaround times, patients’ LOS, number of patients LWBS and the number of unscheduled return visits, suggesting improved ED processes. Further research is required on total costs of care and long-term effects.

No rest for the weary: a cross-sectional study comparing patients' sleep in the emergency department to those on the ward

BACKGROUND

Boarding in emergency departments (EDs) is a persistent problem worldwide. We hypothesised that patients sleeping while being boarded in EDs have worse self-rated sleep than those admitted from EDs who sleep on the ward.

METHODS

Prospective cross-sectional study conducted at the University College Hospital, Galway between October and November 2016. Self-rated sleep in patients boarded in EDs from 23:00 to 07:00 was compared with those admitted to the ward before 23:00. Patients rated their sleep using the Richards-Campbell Sleep Questionnaire. Patients were excluded if they had cognitive impairment, were unable or incapacitated or had evidence of alcohol or drug use in the previous 24 hours. Continuous data are shown as medians (IQRs 25th-75th percentiles). Linear regression models of log-transformed outcome variables were performed.

RESULTS

Ninety-three patients were included and 22 were excluded. Patients who boarded in the ED were significantly more likely to be medical patients (78% vs 21%, p<0.001), to be older (median age (IQR)=60 (39-71) vs 47 (32-68), p=0.04) and have more urgent presentations (74% vs 48% presenting as Manchester triage category 1 or 2, p=0.01) than patients who sleep on a ward. Patients who slept on the ward had significantly better sleep scores (mean log-transformed sleep scores (SD)=2.92 (1.05) vs 3.72 (0.66), p<0.001)). Those sleeping in the ED reported greater noisiness than those sleeping on the ward (mean log-transformed noisiness scores (SD)=3.18 (1.10) vs 4.15 (0.57), p<0.001). These significant differences in sleep scores and noisiness ratings persisted after adjustment for age, triage category and admitting service.

CONCLUSION

We found those who sleep boarded in EDs have worse self-rated sleep than those who sleep on the ward.

[Patients with chronic diseases in emergency rooms in Germany : Cross-sectional analysis of consultations, reasons for use, and discharge diagnosis]

BACKGROUND

The number of patients in emergency rooms without a medical emergency is increasing. Outpatient services for mutual support and relief between the in-patient and out-patient sector are not yet fully established.

AIM OF THE WORK

The aim was to determine the extent to which patients in emergency rooms have real medical emergencies by comparing patients with at least two and those with a maximum of one chronic illness. An additional aim was to identify factors influencing the previous use of outpatient structures.

MATERIAL AND METHODS

The study participants included emergency room patients from the cross-sectional study "PiNo-Nord." All persons in five emergency rooms in northern Germany between October 2015 and July 2016 who were not treated as "immediate" or "very urgent" were interviewed. An exploratory data analysis and multivariate logistic regression were performed.

RESULTS

The 293 patients with ≥2 chronic diseases were just as often a medical emergency compared to the 847 patients with a maximum of 1 chronic disease. The most frequent occasions for consultation were musculoskeletal trauma (33%, n = 293 vs. 42%, n = 847) or trauma of the skin (11%, n = 293 vs. 13%, n = 847). In both groups, the general practitioner or specialist caregiver, as well as diagnostic or treatment options, rarely played a role in visiting the emergency department. The strongest predictors of previous outpatient treatment were the duration of the appeal in the last six months, a high subjective treatment urgency, the presence of at least two chronic conditions, and a consultation event concerning the musculoskeletal injuries.

CONCLUSIONS

In both patient groups, no evidence of unnecessary visits to the emergency room was found. For the most part, outpatient structures are used in advance and the emergency department is only visited in the event of an actual medical emergency.

Predictors of Delayed Emergency Department Throughput Among Blunt Trauma Patients

BACKGROUND

Delayed emergency department (ED) LOS has been associated with increased mortality and increased hospital length of stay (LOS) for various patient populations. Trauma patients often require significant effort in evaluation, workup, and disposition; however, patient and hospital characteristics associated with increased LOS in the ED for trauma patients remain unclear.

METHODS

The Trauma Quality Improvement Project database (2014-2016) was queried for all adult blunt trauma patients. Patients discharged from the ED to the operating room were excluded. Univariate and multivariable linear regression analysis was conducted to identify independent predictors of ED LOS, controlling for patient characteristics (age, gender, race, insurance status), hospital characteristics (teaching status, ACS trauma verification level, geographic region), abbreviated injury scale and comorbid status.

RESULTS

412,000 patients met inclusion criteria for analysis. When controlling for covariates, an increase in age by 1 y resulted in 0.63 increased minutes in the ED (P < 0.001). In multivariable linear regression controlling for injury severity and comorbid conditions, non-white race groups, university status, and northeast region were associated with increased ED LOS. Black and Hispanic patients spent on average 41 and 42 more minutes, respectively, in the ED room when compared with white patients (P < 0.001). Patients seen at University hospitals spent 52 more minutes in the ED when compared with community hospitals, whereas patients at nonteaching hospitals spent 31 fewer minutes (P < 0.001). Patients seen in the Midwest spent the least amount of time in the ED, with patients in the South, West, and Northeast spending 45, 36, and 89 more minutes, respectively (P < 0.001). Non-Medicaid patients at level 1 trauma centers and those requiring intensive care admission had significantly decreased ED LOS. Medicaid patients took the longest to move through the ED with Medicare, BlueCross, and Private insurance outpacing them by 17, 23, and 23 min, respectively (P < 0.001). ACS level 1 trauma centers moved patients through the ED fastest, whereas ACS level II trauma centers and level III trauma centers moved patients through 50 and 130 min slower when compared with ACS level 1 trauma centers (P < 0.001).

CONCLUSIONS

ED LOS varied significantly by patient and hospital characteristics. Medicaid patients and those patients at university hospitals were associated with significantly higher ED LOS, whereas ACS trauma verification level status had strong correlation with ED LOS. These results may allow targeted quality improvement programs to enhance ED LOS.