Emergency department throughput, crowding, and financial outcomes for hospitals

Measurement of Cost of Boarding in the Emergency Department Using Time-Driven Activity-Based Costing

STUDY OBJECTIVE

Boarding admitted patients in emergency departments (EDs) is a national crisis that is worsening despite potential financial disadvantages. The objective of this study was to assess costs associated with boarding.

METHODS

We conducted a prospective, observational investigation of patients admitted through an ED for management of acute stroke at a large, urban, academic, comprehensive stroke center hospital. We employed time-driven activity-based costing methodology to estimate cost for patient care activities during admission and aggregated results to estimate the total cost of boarding versus inpatient care. Primary outcomes were total daily costs per patient for medical-surgical (med/surg) boarding, med/surg inpatient care, ICU boarding, and ICU inpatient care.

RESULTS

The total daily cost per patient with acute stroke was US$1856, for med/surg boarding versus US$993 for med/surg inpatient care and US$2267, for ICU boarding versus US$2165, for ICU inpatient care. These differences were even greater when accounting for costs associated with traveler nurses. ED nurses spent 293 min/d (mean) caring for each med/surg boarder; inpatient nurses spent 313 min/d for each med/surg inpatient. ED nurses spent 419 min/d caring for each ICU boarder; inpatient nurses spent 787 min/d for each ICU inpatient. Neurology attendings and residents spent 25 and 52 min/d caring for each med/surg boarder versus 62 minutes and 90 minutes for each med/surg inpatient, respectively.

CONCLUSION

Using advanced cost-accounting methods, our investigation provides novel evidence that boarding of admitted patients is financially costly, adding greater urgency for elimination of this practice.

Fast track to stroke unit for patients not eligible for acute intervention, a case-control register study on 1066 patients

Stroke patients not eligible for acute intervention often have low priority and may spend long time at the emergency department (ED) waiting for admission. The aim of this retrospective case-control register study was to evaluate outcomes for such "low priority" stroke patients who were transported via Fast Track directly to the stroke unit, according to pre-specified criteria by emergency medical service (EMS). The outcomes of Fast Track patients, transported directly to stroke unit (cases) were compared with the outcomes of patients who fulfilled these critera for Fast Track, but instead were transported to the ED (controls). In all, 557 cases and 509 controls were identified. The latter spent a mean time of 237 min in the ED before admission. The 90-day mortality rate was 12.9% for cases and 14.7% for controls (n.s.). None of the secondary outcome events differed significantly between the groups: 28-day mortality rate; death rate during hospitalisation; proportion of pneumonias, falls or pressure ulcers; or health-related outcomes according to the EQ-5D-5L questionnaire. These findings indicates that the Fast Track to the stroke unit by an EMS is safe for selected stroke patients and could avoid non-valuable time in the ED.

Reducing Crowding in Emergency Departments With Early Prediction of Hospital Admission of Adult Patients Using Biomarkers Collected at Triage: Retrospective Cohort Study

BACKGROUND

Emergency department crowding continues to threaten patient safety and cause poor patient outcomes. Prior models designed to predict hospital admission have had biases. Predictive models that successfully estimate the probability of patient hospital admission would be useful in reducing or preventing emergency department "boarding" and hospital "exit block" and would reduce emergency department crowding by initiating earlier hospital admission and avoiding protracted bed procurement processes.

OBJECTIVE

To develop a model to predict imminent adult patient hospital admission from the emergency department early in the patient visit by utilizing existing clinical descriptors (ie, patient biomarkers) that are routinely collected at triage and captured in the hospital's electronic medical records. Biomarkers are advantageous for modeling due to their early and routine collection at triage; instantaneous availability; standardized definition, measurement, and interpretation; and their freedom from the confines of patient histories (ie, they are not affected by inaccurate patient reports on medical history, unavailable reports, or delayed report retrieval).

METHODS

This retrospective cohort study evaluated 1 year of consecutive data events among adult patients admitted to the emergency department and developed an algorithm that predicted which patients would require imminent hospital admission. Eight predictor variables were evaluated for their roles in the outcome of the patient emergency department visit. Logistic regression was used to model the study data.

RESULTS

The 8-predictor model included the following biomarkers: age, systolic blood pressure, diastolic blood pressure, heart rate, respiration rate, temperature, gender, and acuity level. The model used these biomarkers to identify emergency department patients who required hospital admission. Our model performed well, with good agreement between observed and predicted admissions, indicating a well-fitting and well-calibrated model that showed good ability to discriminate between patients who would and would not be admitted.

CONCLUSIONS

This prediction model based on primary data identified emergency department patients with an increased risk of hospital admission. This actionable information can be used to improve patient care and hospital operations, especially by reducing emergency department crowding by looking ahead to predict which patients are likely to be admitted following triage, thereby providing needed information to initiate the complex admission and bed assignment processes much earlier in the care continuum.

Impact of high-sensitivity cardiac troponin implementation on emergency department length of stay, testing, admissions, and diagnoses

OBJECTIVE

While high-sensitivity (hs) troponin (cTn) has been associated with shorter emergency department (ED) length of stay (LOS) and decreased hospital admissions outside the United States (US), concerns have been raised that it will have opposite effects in the US. In this study, we aimed to compare ED LOS, admissions, and acute coronary syndrome (ACS) diagnoses before and after the implementation of hs-cTn.

METHODS

We conducted a single-institution, retrospective study of two temporally matched six-month study periods before and after the implementation of hs-cTn. We included consecutive adults presenting with chest pain. The primary outcome was ED LOS, which was log transformed and analyzed using multiple linear regression. Binary secondary outcomes of admissions, cardiac testing, cardiology consultation, and ACS diagnoses were analyzed using multiple logistic regression.

RESULTS

We studied 1589 visits before and 1616 visits after implementation of hs-cTn. Median age and sex ratios were similar between study periods. Median ED LOS was longer in the post-implementation period [post: 384 (interquartile range, IQR 260-577) minutes; pre: 374 (IQR 250-564) minutes; adjusted geometric mean ratio 1.05; 95% confidence interval, CI 1.01-1.10)]. Admissions were lower in the post-implementation period [post: 24% (385/1616) vs. pre: 28% (447/1589); adjusted odds ratio, aOR 0.75 (95% CI 0.64-0.88)]. Cardiac risk stratification testing [pre: 9% (142/1589) vs post: 9% (144/1616); aOR 0.95 (95% CI 0.74-1.22)], cardiology consultation [pre: 13% (208/1589) vs post: 13% (207/1616); aOR 0.91 (95% CI 0.73-1.12)], and ACS diagnoses [pre: 7% (116/1589) vs post: 7% (120/1616); aOR 0.94 (95% CI 0.72-1.24)] were similar between the two study periods.

CONCLUSION

In this single-center study, transition to hs-cTn was associated with an increased ED LOS, decreased admissions, and no substantial change in cardiac risk stratification testing, cardiology consultation, or ACS diagnoses.

The cost of waiting: Association of ED boarding with hospitalization costs

BACKGROUND

Emergency Department (ED) boarding, the practice of holding patients in the ED after they have been admitted to the hospital due to unavailability of inpatient beds, is common and contributes to the public health crisis of ED crowding. Prior work has documented the harms of ED boarding on access and quality of care. Limited studies examine the relationship between ED boarding and an equally important domain of quality-the cost of care. This study evaluates the relationship between ED boarding, ED characteristics and risk-adjusted hospitalization costs utilizing national publicly-reported measures.

METHODS

We conducted a cross-sectional analysis of two 2018 Centers for Medicare and Medicaid Services (CMS) Hospital Compare datasets: 1) Medicare Hospital Spending per Patient and 2) Timely and Effective Care. We constructed a hospital-level multivariate linear regression analysis to examine the association between ED boarding and Medicare spending per beneficiary (MSPB), adjusting for ED length of stay, door to diagnostic evaluation time, and ED patient volume.

RESULTS

A total of 2903 hospitals were included in the analysis. ED boarding was significantly correlated with MSPB (r = 0.1774; p-value: < 0.0001). In multivariate regression, ED boarding was also positively associated with MSPB (Beta: 0.00015; p < 0.0001) after adjustment for other hospital level crowding indicators.

CONCLUSION

We found a strong relationship between measures of ED crowding, including ED boarding, and risk-adjusted hospital spending. Future work should elucidate the mediators of this relationship. Policymakers and administrators should consider the financial harms of ED boarding when devising strategies to improve hospital care access and flow.

Throughput interventions to reduce emergency department crowding: A systematic review

Objective

Emergency department (ED) throughput efficiency is largely dependent on staffing and process, and many operational interventions to increase throughput have been described.

Methods

We systematically searched Medline, Embase, CINAHL, and the Cochrane Central Register of Controlled Trials to find studies describing the impact of throughput strategies on ED length of stay and left without being seen rates. Two independent reviewers screened studies, evaluated quality and risk of bias, and stratified eligible studies by intervention type. We assessed statistical heterogeneity using the chi-squared statistic and the I-squared (I2) statistic, and pooled results where appropriate. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines were followed.

Results

Ninety-four (94) studies met inclusion criteria (Cohen's k = 0.7). Most were observational, five were determined to be low quality (Cohen's k = 0.6), and almost all reported modest reductions in length of stay and left without being seen rates, although there was substantial variability within and between intervention types. Fast track and patient streaming interventions showed the most consistent reduction in length of stay and left without being seenrates. Shifting high-level providers to triage appears effective and generally cost neutral. Evidence for enhanced testing strategies and alternative staffing models was less compelling.

Conclusions

Introducing a fast track and optimizing processes for important case-mix groups will likely enhance throughput efficiency. Expediting diagnostic and treatment decisions by shifting physician-patient contact to the earliest possible process point (e.g., triage) is an effective cost-neutral strategy to increase flow. Focusing ED staff on operational improvement is likely to improve performance, regardless of the intervention type.

A Front-end Redesign With Implementation of a Novel "Intake" System to Improve Patient Flow in a Pediatric Emergency Department

Introduction

Children's Hospital Colorado is an academic, tertiary-care Level 1 Trauma Center with an emergency department (ED) that treats >70,000 patients/year. Patient volumes continue to increase, leading to worsening wait times and left-without-being-seen (LWBS) rates. In 2015, the ED's median door-to-provider time was 49 minutes [interquartile range (IQR) = 26-90], with a 3.2% LWBS rate. ED leadership, staff, and providers aimed to improve patient flow with specific goals to (1) decrease door-to-provider times to a median of <30 minutes and (2) decrease annual LWBS rate to <1%.

Methods

An inter-professional team utilized quality improvement and Lean methodology to study, redesign, and implement significant changes to ED front-end processes. Key process elements included (1) new Flow Nurse/EMT roles, (2) elimination of traditional registration and triage processes, (3) immediate "quick registration" and nurse assessment upon walk-in, (4) direct-bedding of patients, and (5) a novel "Intake" system staffed by a pediatric emergency medicine physician.

Results

In the 12 months following full implementation of the new front-end system, the median door-to-provider time decreased 49% to 25 minutes (IQR = 13-50), and the LWBS rate decreased from 3.2% to 1.4% (a 56% relative decrease). Additionally, the percentage of patients seen within 30 minutes of arrival increased, overall ED length-of-stay decreased, patient satisfaction improved, and no worsening of the unexpected 72-hour return rate occurred.

Conclusions

Using quality improvement and Lean methodology, an inter-professional team decreased door-to-provider times and LWBS rates in a large pediatric ED by redesigning its front-end processes and implementing a novel pediatric emergency medicine-led Intake system.

A Markov Chain Model for Transient Analysis of Handoff Process in Emergency Departments

Transfer of care between multiple units or facilities is of significant importance for patient safety, care quality, and operation efficiency. Such transfers are often referred to as handoffs in hospitals, which need to be carried out timely, safely, and smoothly with accurate information. This paper introduces a Markov chain model to study the transients of handoff process in hospital emergency departments. The handoff process is modeled by a stochastic process with unavailability of service, which characterizes the constraints in bed capacity, staff shortage, and coordination issues, etc. For systems only allowing one transfer request waiting, the transient performance is obtained through Laplace transform and its inverse transform. Such a result is then used as a building block to study the systems allowing multiple requests waiting through an iteration process, which can reduce the computation complexity substantially. Numerical studies show that such a method can provide estimates of transient performance in the handoff process with acceptable accuracy.

Surveillance, anticipation and firefighting: Perspectives of patient safety from a New Zealand case study

AIM

This study explored how doctors, nurses and managers working in a New Zealand tertiary hospital understand patient safety.

BACKGROUND

Despite health care systems implementing proven safety strategies from high reliability organisations, such as aviation and nuclear power, these have not been uniformly adopted by health care professionals with concerns raised about clinician engagement.

DESIGN

Instrumental, embedded case study design using qualitative methods.

METHODS

The study used purposeful sampling, and data was collected using focus groups and semi-structured interviews with doctors (n = 31); registered nurses (n = 19); and senior organisational managers (n = 3) in a New Zealand tertiary hospital.

RESULTS

Safety was described as a core organisational value. Clinicians appreciated proactive safety approaches characterized by anticipation and vigilance, where they expertly recognized and adapted to safety risks. Managers trusted evidence-based safety rules and approaches that recorded, categorized and measured safety.

CONCLUSION AND IMPLICATIONS FOR NURSING MANAGEMENT

It is important that nurse managers hold a more refined understanding about safety. Organisations are more likely to support safe patient care if cultural complexity is accounted for. Recognizing how different occupational groups perceive and respond to safety, rather than attempting to reinforce a uniform set of safety actions and responsibilities, is likely to bring together a shared understanding of safety, build trust and nurture safety culture.

Evaluation of hospital length of stay and revenues as a function of admission mode, clinical pathways including observation unit stay and hospitalization characteristics

OBJECTIVES

Hospital length of stay (days) and revenues per day (euros) could be different depending on admission mode. To determine the impact of admission mode as a function of clinical pathway, we conducted the present study. Data sources: We included 159,206 admissions to three academic hospitals during a four-year period. Data were obtained from the electronic system of the hospital trust.

STUDY DESIGN

A case (through-emergency department)-control (elective (EA)) study was conducted (77,052), matched by age, stay severity and type, disease-related group, and discharge mode. Principal findings: Through-emergency department were significantly elderly, more severe, had more intensive care stays, a higher mortality rate, longer length of stay (days) (9.5 ± 12 vs. 6.8 ± 9.5; p < 0.0001), and lower revenues per day (647 ± 451 vs. 721 ± 422; p = 0.01). In case-control study, mean differences between cases and controls were: longer length of stay -0.64 and revenues per day -75.6; for ≥75 years -1.2 and -102.1; medical -0.9 and -90.4; and discharge to facilities care centers -1.5 and -81.8. Among cases, 40% had a stay in observation unit before being admitted in hospital ward. Differences were strongly reduced for patients who did not go to observation unit before being admitted. Differences were reduced from 0.64 to 0.2 days for length of stay and from 79 to 41 euros for revenues per day when patients did not stay in observation unit before being admitted.

CONCLUSIONS

We conclude that admission mode is associated with length of stay and revenues. However, as differences are weak, elective admissions should not be prioritized on economic arguments. Otherwise, our study indicates that among through-emergency department admissions, observation unit stay is associated with longer length of stay and lower revenues.

Patient Needs, Required Level of Care, and Reasons Delaying Hospital Discharge for Nonacute Patients Occupying Acute Hospital Beds

This study aims to determine the proportion of nonacute patients occupying acute care beds and to describe their needs, the appropriate level of alternative care, and reasons preventing discharge. Data from 952 patients hospitalized in an acute care unit for 30 days were obtained from their medical charts and by consulting with the medical team at two tertiary teaching hospitals. Among them, 333 (35%) were determined nonacute on day 30 of hospitalization. According to the Appropriateness Evaluation Protocol (AEP), 55% had no medical, nursing, or patient needs. Among nonacute patients with AEP needs, 88% were related to nursing/life-support services and 12% related to patient condition factors. Regarding alternative level of care, 186 (56%) were waiting for out-of-hospital resources, of which 36% were waiting for palliative care, 33% for long-term care, 18% for rehabilitation, and 12% for home care. For the remaining 147 (44%) nonacute patients, the alternative resources remained undetermined although acute care was no longer required. Main reasons preventing discharge included unavailability of alternative resources, ongoing assessment to determine appropriate resources, ongoing process with community care, and family/patient education/counseling. Available subacute facilities and community-based care would liberate acute care beds and facilitate their appropriate use.

Implementation and evaluation of a 'Navigator' role to improve emergency department throughput

BACKGROUND

Emergency department overcrowding impacts patients, staff, and quality of care, and there is government pressure to optimize throughput and reduce waiting times. One solution for improving patient flow is the emerging 'navigator' role: a nurse that supports staff in care delivery; facilitating efficient and timely patient movement through the emergency department.

METHODS

A 20-week project was implemented to evaluate an emergency department nurse navigator role. A controlled trial was used. The navigator worked on a week-on-week-off basis, eight hours per day, seven days per week. Time-based and cost-associated outcomes were compared.

RESULTS

Data from nearly 20,000 presentations during the trial period were analysed. All outcomes were improved during the ten weeks the Navigator was working. A slight improvement in National Emergency Access Target compliance was shown, with an average of 4.5min per presentation saved. The labour cost associated with the time saved was estimated to be $170,000.

CONCLUSIONS

The results from this study indicate that for a relatively small investment, complementary nursing roles such as the navigator can impact emergency department patient flow. However, further studies are required to determine optimisation of the role.

RELEVANCE TO PRACTICE

This study provides rigorous evidence of the effects of a nurse navigator role on emergency department throughput. Whilst positive outcomes were demonstrated, suggesting a whole-of-system benefit, the magnitude of effect on a per-presentation basis was relatively small. Further studies are required to demonstrate the clinical relevance of such roles.

The Economics of an Admissions Holding Unit

Introduction

With increasing attention to the actual cost of delivering care, return-on-investment calculations take on new significance. Boarded patients in the emergency department (ED) are harmful to clinical care and have significant financial opportunity costs. We hypothesize that investment in an admissions holding unit for admitted ED patients not only captures opportunity cost but also significantly lowers direct cost of care.

Methods

This was a three-phase study at a busy urban teaching center with significant walkout rate. We first determined the true cost of maintaining a staffed ED bed for one patient-hour and compared it to alternative settings. The opportunity cost for patients leaving without being seen was then conservatively estimated. Lastly, a convenience sample of admitted patients boarding in the ED was observed continuously from one hour after decision-to-admit until physical departure from the ED to capture a record of every interaction with a nurse or physician.

Results

Personnel costs per patient bed-hour were $58.20 for the ED, $24.80 for an inpatient floor, $19.20 for the inpatient observation unit, and $10.40 for an admissions holding area. An eight-bed holding unit operating at practical capacity would free 57.4 hours of bed space in the ED and allow treatment of 20 additional patients. This could yield increased revenues of $27,796 per day and capture opportunity cost of $6.09 million over 219 days, in return for extra staffing costs of $218,650. Analysis of resources used for boarded patients was determined by continuous observation of a convenience sample of ED-boarded patients, which found near-zero interactions with both nursing and physicians during the boarding interval.

Conclusion

Resource expense per ED bed-hour is more than twice that in non-critical care inpatient units. Despite the high cost of available resources, boarded non-critical patients receive virtually no nursing or physician attention. An admissions holding unit is remarkably effective in avoiding the mismatch of the low-needs patients in high-cost care venues. Return on investment is enormous, but this assumes existing clinical space for this unit.

Applicability of the modified Emergency Department Work Index (mEDWIN) at a Dutch emergency department

Background

Emergency department (ED) crowding leads to prolonged emergency department length of stay (ED-LOS) and adverse patient outcomes. No uniform definition of ED crowding exists. Several scores have been developed to quantify ED crowding; the best known is the Emergency Department Work Index (EDWIN). Research on the EDWIN is often applied to limited settings and conducted over a short period of time.

Objectives

To explore whether the EDWIN as a measure can track occupancy at a Dutch ED over the course of one year and to identify fluctuations in ED occupancy per hour, day, and month. Secondary objective is to investigate the discriminatory value of the EDWIN in detecting crowding, as compared with the occupancy rate and prolonged ED-LOS.

Methods

A retrospective cohort study of all ED visits during the period from September 2010 to August 2011 was performed in one hospital in the Netherlands. The EDWIN incorporates the number of patients per triage level, physicians, treatment beds and admitted patients to quantify ED crowding. The EDWIN was adjusted to emergency care in the Netherlands: modified EDWIN (mEDWIN). ED crowding was defined as the 75^th percentile of mEDWIN per hour, which was ≥0.28.

Results

In total, 28,220 ED visits were included in the analysis. The median mEDWIN per hour was 0.15 (Interquartile range (IQR) 0.05–0.28); median mEDWIN per patient was 0.25 (IQR 0.15–0.39). The EDWIN was higher on Wednesday (0.16) than on other days (0.14–0.16, p<0.001), and a peak in both mEDWIN (0.30–0.33) and ED crowding (52.9–63.4%) was found between 13:00–18:00 h. A comparison of the mEDWIN with the occupancy rate revealed an area under the curve (AUC) of 0.86 (95%CI 0.85–0.87). The AUC of mEDWIN compared with a prolonged ED-LOS (≥4 hours) was 0.50 (95%CI 0.40–0.60).

Conclusion

The mEDWIN was applicable at a Dutch ED. The mEDWIN was able to identify fluctuations in ED occupancy. In addition, the mEDWIN had high discriminatory power for identification of a busy ED, when compared with the occupancy rate.

Impact of GeneXpert MTB/RIF assay on triage of respiratory isolation rooms for inpatients with presumed tuberculosis: a hypothetical trial

BACKGROUND

Placing inpatients with presumed active pulmonary tuberculosis in respiratory isolation pending results of serial sputum acid-fast bacilli (AFB) smear microscopy is standard practice in high-income countries. However, this diagnostic strategy is slow and yields few tuberculosis diagnoses. We sought to determine if replacing microscopy with the GeneXpert MTB/RIF (Xpert) nucleic acid amplification assay could reduce testing time and usage of isolation rooms.

METHODS

We prospectively followed inpatients at San Francisco General Hospital undergoing tuberculosis evaluation. We performed smear microscopy and Xpert testing on concentrated sputum, and calculated diagnostic accuracy for both strategies in reference to serial sputum mycobacterial culture. We measured turnaround time for microscopy and estimated hypothetical turnaround times for Xpert on concentrated and unconcentrated sputum. We compared median and total isolation times for microscopy to those estimated for the 2 Xpert strategies.

RESULTS

Among 139 patients with 142 admissions, median age was 54 years (interquartile range [IQR], 43-60 years); 32 (23%) patients were female, and 42 (30%) were HIV seropositive. Serial sputum smear microscopy and a single concentrated sputum Xpert had identical sensitivity (89%; 95% confidence interval [CI], 52%-100%) and similar specificity (99% [95% CI, 96%-100%] vs 100% [95% CI, 97%-100%]). A single concentrated sputum Xpert could have saved a median of 35 hours (IQR, 24-36 hours) in unnecessary isolation compared with microscopy, and a single unconcentrated sputum Xpert, 45 hours (IQR, 35-46 hours).

CONCLUSIONS

Replacing serial sputum smear microscopy with a single sputum Xpert could eliminate most unnecessary isolation for inpatients with presumed tuberculosis, greatly benefiting patients and hospitals.

A flexible simulation platform to quantify and manage emergency department crowding

BACKGROUND

Hospital-based Emergency Departments are struggling to provide timely care to a steadily increasing number of unscheduled ED visits. Dwindling compensation and rising ED closures dictate that meeting this challenge demands greater operational efficiency.

METHODS

Using techniques from operations research theory, as well as a novel event-driven algorithm for processing priority queues, we developed a flexible simulation platform for hospital-based EDs. We tuned the parameters of the system to mimic U.S. nationally average and average academic hospital-based ED performance metrics and are able to assess a variety of patient flow outcomes including patient door-to-event times, propensity to leave without being seen, ED occupancy level, and dynamic staffing and resource use.

RESULTS

The causes of ED crowding are variable and require site-specific solutions. For example, in a nationally average ED environment, provider availability is a surprising, but persistent bottleneck in patient flow. As a result, resources expended in reducing boarding times may not have the expected impact on patient throughput. On the other hand, reallocating resources into alternate care pathways can dramatically expedite care for lower acuity patients without delaying care for higher acuity patients. In an average academic ED environment, bed availability is the primary bottleneck in patient flow. Consequently, adjustments to provider scheduling have a limited effect on the timeliness of care delivery, while shorter boarding times significantly reduce crowding. An online version of the simulation platform is available at http://spark.rstudio.com/klopiano/EDsimulation/.

CONCLUSION

In building this robust simulation framework, we have created a novel decision-support tool that ED and hospital managers can use to quantify the impact of proposed changes to patient flow prior to implementation.

Characteristics of hospitals diverting ambulances in a California EMS system

INTRODUCTION

While several reports discuss controversies regarding ambulance diversion from acute care hospitals and the mortality, financial, and resource effects, there is scant literature related to the effect of hospital characteristics.

HYPOTHESIS/PROBLEM

The objective of this study was to describe specific paramedic receiving center characteristics that are associated with ambulance diversion rates in an Emergency Medical Services system.

METHODS

A retrospective observational study design was used. The study was performed in a suburban EMS system with 27 paramedic receiving centers studied; one additional hospital present at the beginning of the study period (2000-2008) was excluded due to lack of recent data. Hospital-level and population-level characteristics were gathered, including diversion rate (hours on diversion/total hours open), for-profit status, number of specialty services (including trauma, burn, cardiovascular surgery, renal transplant services, cardiac catheterization capability [both interventional and diagnostic], and burn surgery), average inpatient bed occupancy rate (total patient days/licensed bed days), annual emergency department (ED) volume (patients per year), ED admission rate (percent of ED patients admitted), and percent of patients leaving without being seen. Demographic characteristics included percent of persons in each hospital's immediate census tract below the 100% and 200% poverty lines (each considered separately), and population density within the census tract. Bivariate and regression analyses were performed.

RESULTS

Diversion rates for the 27 centers ranged from 0.3%-14.5% (median 4.5%). Average inpatient bed occupancy rate and presence of specialty services were correlated with an increase in diversion rate; occupancy rate showed a 0.08% increase in diversion hours per 1% increase in occupancy rate (95% CI, 0.01%-0.16%), and hospitals with specialty services had, on average, a 4.1% higher diversion rate than other hospitals (95% CI, 1.6%-6.7%). Other characteristics did not show a statistically significant effect. When a regression was performed, only the presence of specialty services was related to the ambulance diversion rate.

CONCLUSIONS

Hospitals in this study providing specialty services were more likely to have higher diversion rates. This may result in increased difficulty getting patients requiring specialty care to centers able to provide the needed level of service. Major limitations include the retrospective nature of the study, as well as reliance on multiple data systems.

Racial Disparity in Duration of Patient Visits to the Emergency Department: Teaching Versus Non-teaching Hospitals

Introduction:

The sources of racial disparity in duration of patients’ visits to emergency departments (EDs) have not been documented well enough for policymakers to distinguish patient-related factors from hospital- or area-related factors. This study explores the racial disparity in duration of routine visits to EDs at teaching and non-teaching hospitals.

Methods:

We performed retrospective data analyses and multivariate regression analyses to investigate the racial disparity in duration of routine ED visits at teaching and non-teaching hospitals. The Healthcare Cost and Utilization Project (HCUP) State Emergency Department Databases (SEDD) were used in the analyses. The data include 4.3 million routine ED visits encountered in Arizona, Massachusetts, and Utah during 2008. We computed duration for each visit by taking the difference between admission and discharge times.

Results:

The mean duration for a routine ED visit was 238 minutes at teaching hospitals and 175 minutes at non-teaching hospitals. There were significant variations in duration of routine ED visits across race groups at teaching and non-teaching hospitals. The risk-adjusted results show that the mean duration of routine ED visits for Black/African American and Asian patients when compared to visits for white patients was shorter by 10.0 and 3.4%, respectively, at teaching hospitals; and longer by 3.6 and 13.8%, respectively, at non-teaching hospitals. Hispanic patients, on average, experienced 8.7% longer ED stays when compared to white patients at non-teaching hospitals.

Conclusion:

There is significant racial disparity in the duration of routine ED visits, especially in non-teaching hospitals where non-White patients experience longer ED stays compared to white patients. The variation in duration of routine ED visits at teaching hospitals when compared to non-teaching hospitals was smaller across race groups.

The impact of implementing a 24/7 open trauma bed protocol in the surgical intensive care unit on throughput and outcomes

BACKGROUND

Increased emergency department (ED) length of stay (LOS) has been associated with increased mortality in trauma patients. In 2010, we implemented a 24/7 open trauma bed protocol in our designated trauma intensive care units (TICUs) to facilitate rapid admission from the ED. This required maintenance of a daily bump list and timely transferring of patients out of the TICU. We hypothesized that ED LOS and mortality would decrease after implementation.

METHODS

The following data from patients admitted directly from the ED to any ICU were retrospectively compared before (2009) and after (2011) the implementation of a trauma bed protocol at a Level I trauma center: age, sex, Glasgow Coma Scale (GCS) score, shock on admission (systolic blood pressure < 90 mm Hg), mechanism, injury severity scores (Injury Severity Score [ISS] and Abbreviated Injury Scale [AIS] score), ED LOS, ICU readmission rates, and mortality.

RESULTS

Of the patients, 267 (17%) of 1,611 before and 262 (21%) of 1,266 (p < 0.01) after the protocol were admitted directly to the ICU, despite similar characteristics. ED LOS decreased from 4.2 ± 4.0 hours to 3.1 ± 2.1 hours (p < 0.01) in all patients as well as patients with an ISS of greater than 24 (3.1 ± 2.5 vs. 2.2 ± 1.6, p < 0.05) and a head AIS score of greater than 2 (4.2 ± 4.9 vs. 3.1 ± 2.0, p = 0.01). Mortality was unchanged for all patients (9% vs. 8%, p = 0.58) but trends toward improved mortality were found after protocol implementation inpatients with an ISS of greater than 24 (30% vs. 13%, p = 0.07) and in patients with a head AIS score of greater than 2 (12% vs. 6%, p = 0.08). A greater proportion of total patients were admitted to a designated TICU after implementation (83% vs. 93%, p < 0.01). ICU readmissions were unchanged (0.3% vs. 1.5%, p = 0.21).

CONCLUSION

The implementation of a 24/7 open trauma bed protocol in the surgery ICU was associated with a decreased ED LOS and increased admissions to designated TICUs in all patients. Improved throughput was achieved without increases in ICU readmissions.

LEVEL OF EVIDENCE

Therapeutic study, level IV.

The culture of an emergency department: an ethnographic study

In an environment of change and social interaction, hospital emergency departments create a unique sub-culture within healthcare. Patient-centered care, stressful situations, social gaps within the department, pressure to perform, teamwork, and maintaining a work-life balance were examined as influences that have developed this culture into its current state. The study aim was to examine the culture in an emergency department. The sample consisted of 34 employees working in an emergency department, level II trauma center, located in the Southeastern United States. An ethnographic approach was used to gather data from the perspective of the cultural insider. Data revealed identification of four categories that included cognitive, environmental, linguistic, and social attributes that described the culture. Promoting a culture that values the staff is essential in building an environment that fosters the satisfaction and retention of staff. Findings suggest that efforts be directed at improving workflow and processes. Development and training opportunities are needed to improve relationships to promote safer, more efficient patient care. Removing barriers and improving processes will impact patient safety, efficiency, and cost-effectiveness. Findings show that culture is influenced and created by multiple elements.

Duration of patients' visits to the hospital emergency department

Background

Length of stay is an important indicator of quality of care in Emergency Departments (ED). This study explores the duration of patients’ visits to the ED for which they are treated and released (T&R).

Methods

Retrospective data analysis and multivariate regression analysis were conducted to investigate the duration of T&R ED visits. Duration for each visit was computed by taking the difference between admission and discharge times. The Healthcare Cost and Utilization Project (HCUP) State Emergency Department Databases (SEDD) for 2008 were used in the analysis.

Results

The mean duration of T&R ED visit was 195.7 minutes. The average duration of ED visits increased from 8 a.m. until noon, then decreased until midnight at which we observed an approximately 70-minute spike in average duration. We found a substantial difference in mean duration of ED visits (over 90 minutes) between Mondays and other weekdays during the transition time from the evening of the day before to the early morning hours. Black / African American patients had a 21.4-minute longer mean duration of visits compared to white patients. The mean duration of visits at teaching hospitals was substantially longer than at non-teaching hospitals (243.8 versus 175.6 minutes). Hospitals with large bed size were associated with longer duration of visits (222.2 minutes) when compared to hospitals with small bed size (172.4 minutes) or those with medium bed size (166.5 minutes). The risk-adjusted results show that mean duration of visits on Mondays are longer by about 4 and 9 percents when compared to mean duration of visits on non-Monday workdays and weekends, respectively.

Conclusions

The duration of T&R ED visits varied significantly by admission hour, day of the week, patient volume, patient characteristics, hospital characteristics and area characteristics.

Analysis and impact of delays in ambulance to emergency department handovers

OBJECTIVES

Delays in the clinical handover of patient care from emergency medical services (EMS) to the ED because of ED crowding are a substantial problem for many EMS systems. This study was conducted to quantify handover delays experienced by the Ambulance Service of New South Wales (ASNSW), and to investigate patient and system factors associated with handover delay.

METHODS

A retrospective study of EMS dispatch and ambulance patient care records was conducted for all patients transported by ASNSW in January/April/July/October 2009. Patient characteristics and time intervals were summarised using descriptive statistics, with handover delay categorised as <30 min, 30-60 min and ≥60 min. Times are reported as HH:MM:SS. Partial proportional odds models were used to investigate factors associated with delays.

RESULTS

Of 141 381 transports, 12.5% of patients experienced a handover delay of 30-60 min, and 5% a delay of ≥60 min. The median handover interval was 00:15:46 (IQR 00:08:58-00:24:52, maximum 08:43:13). Patients transported to large hospitals were more likely to experience a delay of ≥30 min (odds ratio [OR] 14.57, 95% CI 11.41-18.60) or ≥60 min (OR 15.75, 95% CI 12.27-20.23) than those transported to small hospitals. Patients in major cities were more likely to experience delays than those in other areas, and patients ≥65 years were more likely to experience delays than those <16 years. Delays were most likely in winter. Cardiac and major trauma patients had the lowest likelihood of experiencing delays.

CONCLUSIONS

Handover delays are relatively common at the EMS/ED interface in New South Wales, and are most pronounced at large hospitals, in urban areas and during winter.

High hospital occupancy is associated with increased risk for patients boarding in the emergency department

BACKGROUND

Boarding admitted patients in the emergency department due to high hospital occupancy is a worldwide problem. However, whether or not emergency department-boarded patients managed by emergency department providers subjects them to increased serious complications needs further clarification.

METHODS

A multivariate logistic regression analysis was used to examine the relationship of patient's age, sex, arrival hours, diagnostic category, triage category, daily emergency department visits, and daily hospital occupancy to the occurrence of serious complications within 24 hours for 20,276 emergency admissions in a 4-year period.

RESULTS

A vast majority of study days (86.5%) saw very high occupancy ≥90%. Serious complications incidence was 13.62 per 1000 patient days when hospital occupancy was ≤90%, and it increased significantly to 17.10 and 22.52 per 1000 patient days for occupancy at 90%-95% and ≥95%, respectively. In the multivariate analysis, significant risk factors for serious complications included daily occupancy ≥95% (adjusted odds ratio [OR] 1.73; 95% confidence interval [CI], 1.26-2.39), triage category (adjusted OR 0.20; 95% CI, 0.17-0.24), and specific diagnoses (injury and poisoning [adjusted OR 1.62; 95% CI, 1.22-2.84], respiratory [adjusted OR 2.48; 95% CI, 1.37-4.49], and circulatory [adjusted OR 3.24; 95% CI, 1.80-5.80]).

CONCLUSION

High hospital occupancy was associated with an increased incidence of serious complications within 24 hours for patients admitted but still boarded in the emergency department and managed by emergency department providers.