The effect of emergency department crowding on clinically oriented outcomes

Long length of stay at the emergency department is mostly caused by organisational factors outside the influence of the emergency department: A root cause analysis

Background

Emergency department (ED) crowding is common and associated with increased costs and negative patient outcomes. The aim of this study was to conduct an in-depth analysis to identify the root causes of an ED length of stay (ED-LOS) of more than six hours.

Methods

An observational retrospective record review study was conducted to analyse the causes for ED-LOS of more than six hours during a one-week period in an academic hospital in the Netherlands. Basic administrative data were collected for all visiting patients. A root cause analysis was conducted using the PRISMA-method for patients with an ED-LOS > 6 hours, excluding children and critical care room presentations.

Results

568 patients visited the ED during the selected week (January 2017). Eighty-four patients (15%) had an ED-LOS > 6 hours and a PRISMA-analysis was performed in 74 (88%) of these patients. 269 root causes were identified, 216 (76%) of which were organisational and 53 (22%) patient or disease related. 207 (94%) of the organisational factors were outside the influence of the ED. Descriptive statistics showed a mean number of 2,5 consultations, 59% hospital admissions or transfers and a mean age of 57 years in the ED-LOS > 6 hours group. For the total group, there was a mean number of 1,9 consultations, 29% hospital admissions or transfers and a mean age of 43 years.

Conclusions

This study showed that the root causes for an increased ED-LOS were mostly organisational and beyond the control of the ED. These results confirm that interventions addressing the complete acute care chain are needed in order to reduce ED-LOS and crowding in ED’s.

Burden of Non-cardiac Patients on the Emergency Room of a Rural Cardiac Center in Sindh, Pakistan

Introduction The number of cardiac patients increases on a daily basis, and emergency departments bear much of the burden of non-cardiac patients due to pathological fears of the aftermath of the disease. Therefore, this study aimed to determine the burden of non-cardiac patients on the emergency department of a cardiac center in a rural area of Sindh, Pakistan. Methods This cross-sectional study was conducted at the emergency department of Chandka Medical College Hospital in Larkana. Consecutive patients who presented with cardiac symptoms with no previous history of cardiac disease were included. After a brief history, physical examination, electrocardiogram, and a cardiac enzyme assessment, patients were categorized as cardiac or non-cardiac. Data were analyzed using IBM SPSS Statistics for Windows, Version 21.0. (IBM Corp., Armonk, NY, US) and p ≤0.05 was statistically significant. Results Of the 204 patients included, 112 (59.8%) were men, and the mean age was 47 ± 16 years. Most patients (n = 146; 71.6%) were diagnosed as non-cardiac. The non-cardiac diagnosis was significantly more common among patients without diabetes (n = 123, 77.4% vs. n = 23, 51.1%; p = 0.001), without chest pains (n = 93, 81.6% vs. n = 53, 58.9%; p< 0.001), and without shortness of breath (n = 107, 75.9% vs. n = 39, 61.9%; p = 0.041). Conclusion More than two-thirds of the patients were found to have a non-cardiac mechanism behind their symptoms. A major proportion of the emergency room's cardiology department is occupied by non-cardiac patients. Owing to its direct and indirect implication on an otherwise struggling health system, we suggest chest pain units should be developed to decrease the workload and provide better care to cardiac patients.

Trend analysis of emergency department malpractice claims in the Netherlands: a retrospective cohort analysis

BACKGROUND

Over the past two decades, several quality improvement projects have been implemented in emergency departments (EDs) in the Netherlands, one of these being the training and deployment of emergency physicians. In this study we aim to perform a trend analysis of ED quality of care in Dutch hospitals, as measured by the incidence of medical malpractice claims.

PATIENTS AND METHODS

We performed a multicentre retrospective cohort study of malpractice claims in five Dutch EDs over the period 1998-2014. Incidence risk ratios were calculated to demonstrate any relation of specific quality improvement initiatives with the primary outcome, defined as the number of claims per 10 000 ED visits per year.

RESULTS

During the study period, the cumulative number of ED visits increased significantly from 99 145 in 1998 to 162 490 in 2014 (P < 0.01). In total, 228 of 2 348 417 ED visits (0.97 per 10 000) resulted in a malpractice claim. At the same time, the yearly number of ED claims filed decreased with 0.07 (0.03-0.10) per 10 000 each year. The claim rate was higher in the period before emergency physicians were employed in the ED [1.18 (0.98-1.41) claims per 10 000 visits] compared with the period after they were employed [0.81 (0.67-0.97), incidence risk ratio 0.69 (0.53-0.89), P < 0.01].

CONCLUSION

Even though the number of ED visits increased significantly over the past two decades, the number of malpractice claims filed after an ED visit decreased. Various quality improvement initiatives, including the training and employment of emergency physicians, may have contributed to the observed decrease in claims.

Emergency department throughput: an intervention

Shortening emergency department (ED) boarding time and managing hospital bed capacity by expediting the inpatient discharge process have been challenging for hospitals nationwide. The objective of this study is was to explore the effect of an innovative prospective intervention on hospital workflow, specifically on early inpatient discharges and the ED boarding time. The intervention consisted of a structured nursing "admission discharge transfer" (ADT) protocol receiving new admissions from the ED and helping out floor nursing with early discharges. ADT intervention was implemented in a 38-bed hospitalist run inpatient unit at an academic hospital. The study population consisted of 4486 patients (including inpatient and observation admissions) who were hospitalized to the medicine unit from March 2013-March 2014. Of these hospitalizations, 2259 patients received the ADT intervention. Patients' demographics, discharge and ED boarding data were collected for from March 4, 2013 to March 31, 2014 for both intervention and control groups (28 weeks each). Chi-square and unpaired t tests were utilized to compare population characteristics. Poisson regression analysis was conducted to estimate the association between intervention and hospital length of stay adjusted for differences in patient demographics. Mean age of the study population was 58.6 years, 23% were African Americans and 55% were women. A significant reduction in ED boarding time (p < 0.001) and improvement in early (before 2 PM) hospital discharges (p = 0.01) were noticed among patients in the intervention groups. There was a slight but significant reduction in hospital length of stay for observation patients in the intervention group; however, no such difference was noted for inpatient admissions. Our study showed that dedicating nursing resources towards ED-boarded patients and early inpatient discharges can significantly improve hospital workflow and reduce hospital length of stay.

Role of ED crowding relative to trauma quality care in a Level 1 Trauma Center

OBJECTIVE

Trauma Quality Improvement Program participation among all trauma centers has shown to improve patient outcomes. We aim to identify trauma quality events occurring during the Emergency Department (ED) phase of care.

METHODS

This is a single-center observational study using consecutively registered data in local trauma registry (Jan 1, 2016-Jun 30, 2017). Four ED crowding scores as determined by four different crowding estimation tools were assigned to each enrolled patient upon arrival to the ED. Patient related (age, gender, race, severity of illness, ED disposition), system related (crowding, night shift, ED LOS), and provider related risk factors were analyzed in a multivariate logistic regression model to determine associations relative to ED quality events.

RESULTS

Total 5160 cases were enrolled among which, 605 cases were deemed ED quality improvement (QI) cases and 457 cases were ED provider related. Similar percentages of ED QI cases (10-12%) occurred across the ED crowding status range. No significant difference was appreciated in terms of predictability of ED QI cases relative to different crowding status after adjustment for potential confounders. However, an adjusted odds ratio of 1.64 (95% CI, 1.17-2.30, p < 0.01) regarding ED LOS ≥2 h predictive of ED related quality issues was noted when analyzed using multivariate logistic regression.

CONCLUSION

Provider related issues are a common contributor to undesirable outcomes in trauma care. ED crowding lacks significant association with poor trauma quality care. Prolonged ED LOS (≥2 h) appears to be linked with unfavorable outcomes in ED trauma care.

A Conceptual Model for Emergency Department Patient Experience

Emergency department (ED) patient experience continues to be a growing area of focus for ED physicians, administrators, and regulatory agencies. Recent literature has suggested a strong correlation between positive ratings of patient experience and important health system goals, including improved clinical outcomes and care quality, increased staff satisfaction, and reduced medicolegal risk. However, given the myriad of factors driving ED patient experience, identifying effective and synergistic interventions can present a challenge, especially in the setting of limited ED resources. Utilizing the themes identified in a recent systematic review of the ED patient experience literature, we developed a conceptual “logic model” of ED patient experience in order to provide a broadly applicable framework for practical intervention and to guide further study of ED patient experience interventions. The logic model was modified in an iterative fashion through review by local patient and staff groups as well as a national interest group until arriving at the current, comprehensive version. Here, we describe the creation of the logic model and, with the aim of providing a framework for readers to develop similar models for their practice settings, provide a case discussion of its use by an ED medical director.

Patient Characteristics and Emergency Department Factors Associated with Survival After Sudden Cardiac Arrest in Children and Young Adults: A Cross-Sectional Analysis of a Nationally Representative Sample, 2006-2013

The purpose of the study is to examine (1) nationally representative incidence rates of Emergency Department (ED) visits due to sudden cardiac arrest (SCA) in pediatric and young adult populations, (2) basic characteristics of the ED visits with SCA, and (3) patient and hospital factors associated with survival after SCA. We used the Nationwide Emergency Department Sample from 2006 to 2013. ICD-9-CM diagnostic codes identified ED visits due to SCA for patients ≤ 30 years old. Outcomes included yearly incidence of ED visits for SCA, and survival to hospital discharge. Predictors of interest were age groups, sex, and SCA case volume. A logistic regression model adjusted by patient- and hospital-level variables was used. Stratified analyses of age by (< 12 and ≥ 12 years old) were performed to explore the effect of pubertal development on SCA. With 71,881 ED visits due to SCA, the total incidence rate was 6.9 per 100,000 population, with a mortality rate of 89.6% and male/female ratio of 1.7. With the adjusted regression models, there were no differences in survival rate by sex; however, when stratified at 12 years old, males were less likely to survive than females above 12 years old (odds ratio [OR] 0.71, P < 0.01), but not under 12 years old. No statistically significant differences in survival rates between low- and high-SCA volume EDs were detected (OR 1.03, P = 0.77). Data showed no benefit of regionalized care for post-SCA in ≤ 30-year-old populations. With further examination of the differences between sexes, new management strategies for SCA cases can be developed.

Emergency department provider and facility variation in opioid prescriptions for discharged patients

STUDY OBJECTIVE

To study the variation in opioid prescribing among emergency physicians and facilities for discharged adult ED patients.

METHODS

We conducted a retrospective analysis of ED visits from five U.S. hospitals between January and May 2014 using records from Data to Intelligence (D2i). We examined physician- and facility-level variation in opioid prescription rates for discharged ED patients. We calculated unadjusted opioid prescription rates at the physician and facility levels and used a multivariable mixed-effect logistic regression model to examine within-facility physician variation in opioid prescription adjusting for patient and situational factors including time of presentation, ED census, and physician workload.

RESULTS

In 47,304 visits across five EDs, median patient age was 40 years old (IQR 28,55), and 89% had some form of insurance. There were 17,098 (36%) ED discharges with at least one opioid prescription. The unadjusted facility-level opioid prescription rate ranged from 24%-46%. Among 253 ED physicians, the adjusted opioid prescription rate varied from 22%-76%. Increased physician workload is related to decreased odds of opioid prescription at ED discharge for the lowest (<3 patients) and moderate (6-9 patients) physician workload levels, while the association weakened with increasing levels of workload.

CONCLUSION

There was substantial physician and facility variation in opioid prescription for discharged adult ED patients. Emergency physicians were less likely to prescribe opioids when their workload was lower, and this effect diminished at high workload levels. Understanding situational and other factors that explain this variation is important given the rising U.S. opioid epidemic and the need for urgent intervention.

The Effect of Point-of-Care Testing at Triage: An Observational Study in a Teaching Hospital in Saudi Arabia

Introduction

Prolonged waiting times during episodes of emergency department (ED) crowding are associated with poor outcomes. Point-of-care testing (POCT) at ED triage prior to physician evaluation may help identify critically ill patients. We studied the impact of ED POCT in a single ED with a high degree of crowding for patients with high-risk complaints who were triaged as non-critically ill.

Methods

We conducted the study from April-July 2017 at King Abdulaziz University (KAU) Hospital in Jeddah, Saudi Arabia. Patients with one of seven complaints received triage POCT. The primary outcome was whether POCT results at triage resulted in immediate transfer of the patient from the waiting room into the ED. Secondary outcomes were whether the triage nurse felt that the POCT results were useful, and whether triage POCT changed triage acuity. We used simple descriptive statistics to summarize the data.

Results

A total of 94 patients were enrolled and received i-STAT® POCT. The most common symptoms and triage protocols were for chest pain (42%), abdominal pain (31%), and shortness of breath (22%). In 11 cases (12%), care was changed as a result of triage POCT. In 12 cases (13%), triage level was changed. The triage nurse found POCT helpful in 93% of cases.

Conclusion

In this ED, triage POCT was a helpful adjunct at ED triage and resulted in immediate care (transfer to an ED room) in one in eight cases. Therefore, POCT at triage may be a useful adjunct to improve patient safety, particularly in crowded EDs.

Predicting hospital admission at emergency department triage using machine learning

OBJECTIVE

To predict hospital admission at the time of ED triage using patient history in addition to information collected at triage.

METHODS

This retrospective study included all adult ED visits between March 2014 and July 2017 from one academic and two community emergency rooms that resulted in either admission or discharge. A total of 972 variables were extracted per patient visit. Samples were randomly partitioned into training (80%), validation (10%), and test (10%) sets. We trained a series of nine binary classifiers using logistic regression (LR), gradient boosting (XGBoost), and deep neural networks (DNN) on three dataset types: one using only triage information, one using only patient history, and one using the full set of variables. Next, we tested the potential benefit of additional training samples by training models on increasing fractions of our data. Lastly, variables of importance were identified using information gain as a metric to create a low-dimensional model.

RESULTS

A total of 560,486 patient visits were included in the study, with an overall admission risk of 29.7%. Models trained on triage information yielded a test AUC of 0.87 for LR (95% CI 0.86-0.87), 0.87 for XGBoost (95% CI 0.87-0.88) and 0.87 for DNN (95% CI 0.87-0.88). Models trained on patient history yielded an AUC of 0.86 for LR (95% CI 0.86-0.87), 0.87 for XGBoost (95% CI 0.87-0.87) and 0.87 for DNN (95% CI 0.87-0.88). Models trained on the full set of variables yielded an AUC of 0.91 for LR (95% CI 0.91-0.91), 0.92 for XGBoost (95% CI 0.92-0.93) and 0.92 for DNN (95% CI 0.92-0.92). All algorithms reached maximum performance at 50% of the training set or less. A low-dimensional XGBoost model built on ESI level, outpatient medication counts, demographics, and hospital usage statistics yielded an AUC of 0.91 (95% CI 0.91-0.91).

CONCLUSION

Machine learning can robustly predict hospital admission using triage information and patient history. The addition of historical information improves predictive performance significantly compared to using triage information alone, highlighting the need to incorporate these variables into prediction models.

Nurses’ understanding of a developing nurse practitioner role in the Norwegian emergency care context: A qualitative study

In Norway the nurse practitioner (NP) role is still in its infancy. To succeed with implementation of this new role stakeholder involvement is important, and there should be an explicit need for change. The aim of this study was to explore registered nurses’ understanding of how the NP role could contribute to meeting patients’ needs for care in the emergency care context, and nurses’ perceptions about the implementation process. The study is a qualitative interview study. The interviews were analysed by means of qualitative content analysis. Two themes presented themselves: the NP role being an autonomous role suitable for non-urgent patients, and the NP role being diffuse as well as a threat to colleagues and organizational structures. The results indicate that the NP role can make a valuable contribution to meet current challenges in the emergency care context. However, for successful implementation, the management team plays an important role in leading change and engaging co-workers to be part of the process. In further research, it is recommended to evaluate the forthcoming implementation process and, later on, to evaluate the outcomes of NP practice in the emergency care context in Norway.

Relating Activity and Participation Levels to Glycemic Control, Emergency Department Use, and Hospitalizations in Individuals With Type 2 Diabetes

IN BRIEF Participation in domestic, leisure, work, and community-based activities may relate to glycemic control, emergency department use, and hospitalizations in individuals with type 2 diabetes and low socioeconomic status. This study sought to determine how such role-related activity levels relate to A1C, emergency department use, and hospitalizations.

Self-triage for acute primary care via a smartphone application: Practical, safe and efficient?

Background

Since the start of out-of-hours (OOH) primary care clinics, the number of patient consultations has been increasing. Triage plays an important role in patient selection for a consultation, and in providing reassurance and self-management advice.

Objective

We aimed to investigate whether the smartphone application “Should I see a doctor?” (in Dutch:”moet ik naar de dokter?”) could guide patients in appropriate consultation at OOH clinics by focusing on four topics: 1) app usage, 2) user satisfaction, 3) whether the app provides the correct advice, and 4) whether users intend to follow the advice.

Design and setting

A prospective, cross-sectional study amongst app users in a routine primary care setting.

Methods

The app is a self-triage tool for acute primary care. A built-in questionnaire asked users about the app’s clarity, their satisfaction and whether they intended to follow the app’s advice (n = 4456). A convenience sample of users was phoned by a triage nurse (reference standard) to evaluate whether the app’s advice corresponded with the outcome of the triage call (n = 126). Suggestions of phoned participants were listed.

Results

The app was used by patients of all ages, also by parents for their children, and mostly for abdominal pain, skin disorders and cough. 58% of users received the advice to contact the clinic, 34% a self-care advice and 8% to wait-and-see. 65% of users intended to follow the app’s advice. The app was rated as ‘neutral’ to ‘very clear’ by 87%, and 89% were ‘neutral’ to ‘very satisfied’. In 81% of participants the app’s advice corresponded to the triage call outcome, with sensitivity, specificity, positive- and negative predictive values of 84%, 74%, 88% and 67%, respectively.

Conclusion

The app “Should I see a doctor?” could be a valuable tool to guide patients in contacting the OOH primary care clinic for acute care. To further improve the app’s safety and efficiency, triaging multiple symptoms should be facilitated, and more information should be provided to patients receiving a wait-and-see advice.

Early Point-of-Care Testing at Triage Reduces Care Time in Stable Adult Emergency Department Patients

BACKGROUND

Core laboratory testing may increase length of stay and delay care.

OBJECTIVES

We compared length of emergency department (ED) care in patients receiving point-of-care testing (POCT) at triage vs. traditional core laboratory testing.

METHODS

We conducted a prospective, case-controlled trial of adult patients with prespecified conditions requiring laboratory testing and had POCT performed by a nurse after triage for: a basic metabolic panel, troponin I, lactate, INR (i-STAT System), urinalysis (Beckman Coulter Icon), or urine pregnancy test. Study patients were matched with controls based on clinical condition, gender, age, and time to be seen. Groups were compared with Wilcoxon rank-sum or Fisher's exact tests.

RESULTS

We matched 52 POCT study patients with 52 controls. Groups were similar in age, gender, clinical condition, time to be seen by a physician (3.3 h, 95% confidence interval [CI] 2.2-4.4, vs. 3.1 h, 95% CI 2.2-4.5 h, in POCT and control patients, respectively; p = 0.84), use of imaging, and disposition. Of 52 study patients, 3 (5.8%, 95% CI 2.0-15.9) were immediately transferred to the critical care area to be urgently seen by an emergency physician. POCT patients had a significantly shorter median (interquartile range [IQR]) ED care time than matched controls (7.6, 95% CI 5.1-9.5 vs. 8.5, 6.2-11.3 h, respectively; p = 0.015). Median [IQR] ED length of stay was similar in study patients and controls (9.6, 95% CI 7.9-14.5 vs. 12.5, 8.2-21.2 h, respectively; p = 0.15).

CONCLUSIONS

Among stable adult patients presenting to the ED with one of the prespecified conditions, early POCT at triage, compared with traditional core laboratory testing after evaluation by an ED provider, reduced ED care time by approximately 1 h.

Quality and impact of nurse-initiated analgesia in the emergency department: A systematic review

AIM

This paper reports a systematic literature review evaluating the impact and quality of pain management associated with nurse initiated analgesia in patients presenting to the emergency department (ED).

BACKGROUND

Pain is a major presenting complaint for individuals attending the ED. Timely access to effective analgesia continues to be a global concern in the ED setting; emergency nurses are optimally positioned to improve detection and management of pain.

DESIGN

Systematic review.

DATABASES AND DATA TREATMENT

Four databases - CINAHL, EMBASE, Medline, ProQuest - the Cochrane Library and the National Institute of Clinical Excellence were searched from date of inception to December 2017; with no language restrictions applied. Studies were identified using predetermined inclusion criteria. Data were extracted and summarised and underwent evaluation using published valid criteria.

RESULTS

Twelve articles met inclusion, comprising a wide range of analgesics and administration routes to manage mild to severe pain. Overall study quality was high; 7 studies included a form of comparison group. Patient outcome measures included time to analgesia (n = 12; 100%), change in pain score (n = 6; 50.0%); adverse events (n = 6; 50.0%); patient satisfaction (n = 5; 41.7%) and documenting pain assessment (n = 2; 16.7%).

CONCLUSION

Nurse-initiated analgesia was associated with safe, timely and effective pain relief.

Improvement through Small Cycles of Change: Lessons from an Academic Medical Center Emergency Department

This article describes the experiences of a quality improvement team that used small cycles of change to improve the emergency department (ED) of an academic medical center. The role of EDs in the provision of healthcare continues to increase in importance. ED bottlenecks contribute to long waits and diminished outcomes for ED patients as well as more system-wide issues, such as inefficiencies in inpatient admission processes. The purpose of this "ED Operational Efficiency Project" was to reduce lengths of stay (LOS) for low-acuity patients. The team used lean management techniques to both improve services and shift the ED culture to prioritize continuous quality improvement. The goal to reduce LOS by 30% was met as the result of several inter=related projects (or small cycles of change). Key lessons include monitoring metrics, communicating with teams and target populations, learning from initial failures, using small wins to increase momentum, and anchoring changes.

Using Nurse Practitioners to Optimize Patient Flow in a Pediatric Emergency Department

OBJECTIVES

Using nurse practitioners (NPs) in pediatric emergency departments (PEDs) is commonplace in the United States, yet little is known on the impact of NPs on patient flow measures in these environments. This study quantifies the impact of NPs on 2 common measures of patient flow.

METHODS

We conducted a retrospective cohort study using administrative data from an academic tertiary care PED. Mean shift length of stay (LOS) and the daily proportion of patients leaving without being seen (LWBS) by a clinician were compared between shifts with and without NPs on duty, matched for external variables affecting the level of activity in the department. Multivariate regression analyses were also conducted to further adjust for covariates such as the total number of PED care providers, patient acuity distribution, and total volume seen in the ED.

RESULTS

Despite a slightly reduced total number of providers present on shifts with NPs on duty, a modest but statistically significant reduction in mean shift LOS (-19.11 minutes [95% confidence interval (CI), -31.01 to -7.22]) and daily proportion of LWBS (-1.11% [95% CI, -1.97% to -0.26%]) was observed for shifts with NPs compared with shifts without NPs on duty. Regression analyses showed that incremental NPs on shift were associated with a decreased LOS (-18.76 minutes [95% CI, -24.51 to -13.02]) as well as a reduced odds of LWBS (odds ratio, 0.56; 95% CI, 0.37-0.87).

CONCLUSIONS

Nurse practitioners have a modest impact on patient flow measures in a PED and are a valuable resource to optimize patient flow.

Impact Of Ambulance Diversion: Black Patients With Acute Myocardial Infarction Had Higher Mortality Than Whites

This study investigated whether emergency department crowding affects blacks more than their white counterparts and the mechanisms behind which this might occur. Using a nonpublic database of patients in California with acute myocardial infarction between 2001 and 2011 and hospital-level data on ambulance diversion, we found that hospitals treating a high share of black patients with acute myocardial infarction were more likely to experience diversion and that black patients fared worse compared to white patients experiencing the same level of emergency department crowding as measured by ambulance diversion. The ninety-day and one-year mortality rates among blacks exposed to high diversion levels were 2.88 and 3.09 percentage points higher, respectively, relative to whites, representing a relative increase of 19 percent and 14 percent for ninety-day and one-year death, respectively. Interventions that decrease the need for diversion in hospitals serving a high volume of blacks could reduce these disparities.

Adjusting patients streaming initiated by a wait time threshold in emergency department for minimizing opportunity cost

Purpose Two different systems for streaming patients were considered to improve efficiency measures such as waiting times (WTs) and length of stay (LOS) for a current emergency department (ED). A typical fast track area (FTA) and a fast track with a wait time threshold (FTW) were designed and compared effectiveness measures from the perspective of total opportunity cost of all patients' WTs in the ED. The paper aims to discuss these issues. Design/methodology/approach This retrospective case study used computerized ED patient arrival to discharge time logs (between July 1, 2009 and June 30, 2010) to build computer simulation models for the FTA and fast track with wait time threshold systems. Various wait time thresholds were applied to stream different acuity-level patients. National average wait time for each acuity level was considered as a threshold to stream patients. Findings The fast track with a wait time threshold (FTW) showed a statistically significant shorter total wait time than the current system or a typical FTA system. The patient streaming management would improve the service quality of the ED as well as patients' opportunity costs by reducing the total LOS in the ED. Research limitations/implications The results of this study were based on computer simulation models with some assumptions such as no transfer times between processes, an arrival distribution of patients, and no deviation of flow pattern. Practical implications When the streaming of patient flow can be managed based on the wait time before being seen by a physician, it is possible for patients to see a physician within a tolerable wait time, which would result in less crowded in the ED. Originality/value A new streaming scheme of patients' flow may improve the performance of fast track system.

Impact of emergency physician-provided patient education about alternative care venues

OBJECTIVES

Interventions that focus on educating patients appear to be the most effective in directing healthcare utilization to more appropriate venues. We sought to evaluate the effects of mailed information and a brief scripted educational phone call from an emergency physician (EP) on subsequent emergency department (ED) utilization by low-risk adults with a recent treat-and-release ED visit.

STUDY DESIGN

Patients were randomized into 3 groups for post-ED follow-up: EP phone call with mailed information, mailed information only, and no educational intervention. Each intervention group was compared with a set of matched controls.

METHODS

We undertook this study in 6 EDs within an integrated healthcare delivery system. Overall, 9093 patients were identified; the final groups were the phone group (n = 609), mail group (n = 771), and matched control groups for each (n = 1827 and n = 1542, respectively). Analysis was stratified by age (<65 and ≥65 years). Patients were educated about available venues of care delivery for their future medical needs. The primary outcome was the rate of 6-month ED utilization after the intervention compared with the 6-month utilization rate preceding the intervention.

RESULTS

Compared with matched controls, subsequent ED utilization decreased by 22% for patients 65 years or older in the phone group (P = .04) and by 27% for patients younger than 65 years in the mail group (P = .03).

CONCLUSIONS

ED utilization subsequent to a low-acuity ED visit decreased after a brief post-ED education intervention by an EP explaining alternative venues of care for future medical needs. Response to the method of communication (phone vs mail) varied significantly by patient age.

A Comparison of Care Delivered in Hospital-based and Freestanding Emergency Departments

OBJECTIVE

We compare case mix, hospitalization rates, length of stay (LOS), and resource use in independent freestanding emergency departments (FSEDs) and hospital-based emergency departments (H-EDs).

METHODS

Data from 74 FSEDs (2013-2015) in Texas and Colorado were compared to H-ED data from the 2013-2014 National Hospital Ambulatory Medical Care Survey. In the unrestricted sample, large differences in visit characteristics (e.g., payer and case mix) were found between patients that use FSEDs compared to H-EDs. Therefore, we restricted our analysis to patients commonly treated in both settings (<65 years, privately insured, nonambulance) and used inverse propensity score weighting (IPW) to balance the two settings on observable patient characteristics. We then compared ED LOS and as well as hospital admission rates and resource utilization rates in the IPW-weighted samples.

RESULTS

Before balancing, FSEDs saw more young adults (age 25-44) and fewer older adults (age 45-64) than H-EDs. FSED patients had fewer comorbidities, more injuries and respiratory infections, and fewer diagnoses of chest or abdominal pain. In balanced samples, LOS for FSED visits was 46% shorter (60 minutes) than H-ED patients. Hospital admission rates were 37% lower overall (95% confidence interval = -51% to -23%) in FSEDs and varied considerably by primary discharge diagnosis. X-ray and electrocardiogram use was significantly lower at FSEDs while others measures of resource utilization were similar (ultrasound, computed tomography scans, and laboratory tests).

CONCLUSION

In this sample of FSEDs, a greater proportion of younger patients with fewer comorbidities and more injuries and respiratory system diseases were evaluated, and almost all patients had private health insurance. When restricted to < 65 years, privately insured, and nonambulance patients in both samples, LOS was considerably shorter and hospital admission rates lower at FSEDs, as well as the use of some diagnostic testing. This study is limited as diagnoses codes may not fully capture severity and patients who perceived greater need of hospital admission may have chosen a H-ED over FSEDs.

Emergency Department Crowding and Time at the Bedside: A Wearable Technology Feasibility Study

INTRODUCTION

ED crowding is a public health crisis, limiting quality and access to lifesaving care. The purpose of this study was to (1) evaluate the feasibility of radio-frequency identification tags to measure clinician-patient contact and (2) to test the relationship between ED occupancy and clinician-patient contact time.

METHODS

In this 4-week observational study, radio-frequency identification tags were worn by emergency clinicians in a 21-bay urban teaching hospital emergency department. The time-motion data were merged with electronic medical repository patient information (N = 3,237) to adjust for occupancy, age, gender, and acuity. Qualitative themes were generated from focus group (N = 39) debriefings of the quantitative results.

RESULTS

Data were collected on 56,342 total clinician events. Adjusting for patient age, increasing ED occupancy increased the number of times the attending physician entered and left the patient room (b = 0 .008, 95% confidence interval [CI] = [0.001-0.016], P = 0.03). There was no relationship for patient gender, triage acuity, shift at arrival, disposition to home, or discharge diagnosis category with either total minutes or number of encounters per patient visit. No time-motion and occupancy associations were observed for nurses, residents, or nurse practitioners/physician assistants. Debriefings indicated occupancy influenced the quality of care, despite maintaining the same quantity of contact time.

DISCUSSION

The physical environment and clinician privacy concerns limit the feasibility of wearable tracking technology in the emergency setting. Attending physician care becomes more fragmented with increasing ED occupancy. Other clinicians report changes in the quality of care, whereas the quantity of time and encounters were unchanged with occupancy rates.

Reduction in laboratory turnaround time decreases emergency room length of stay

Objective

Laboratory tests are an important contributor to treatment decisions in the emergency department (ED). Rapid turnaround of laboratory tests can optimize ED throughout by reducing the length of stay (LOS) and improving patient outcomes. Despite evidence supporting the effect of shorter turnaround time (TAT) on LOS and outcomes, there is still a lack of large retrospective studies examining these associations. Here, we evaluated the effect of a reduction in laboratory TAT on ED LOS using retrospective analysis of Electronic Health Records (EHR).

Materials and methods

Retrospective analysis of ED encounters from a large, US-based, de-identified EHR database and a separate analysis of ED encounters from the EHR of an ED at a top-tier tertiary care center were performed. Additionally, an efficiency model calculating the cumulative potential LOS time savings and resulting financial opportunity due to laboratory TAT reduction was created, assuming other factors affecting LOS are constant.

Results

Multivariate regression analysis of patients from the multisite study showed that a 1-minute decrease in laboratory TAT was associated with 0.50 minutes of decrease in LOS. The single-site analysis confirmed our findings from the multisite analysis that a positive correlation between laboratory TAT and ED LOS exists in the ED population as a whole, as well as across different patient acuity levels. In addition, based on the calculations from the efficiency model, for a 5-, 10- and 15-minute TAT reduction, the single-site ED can potentially admit a total of 127, 256 and 386 additional patients, respectively, annually.

Conclusion

A positive correlation between laboratory TAT and ED LOS was observed in a broad patient population and across distinct acuity levels.

Can interprofessional teamwork reduce patient throughput times? A longitudinal single-centre study of three different triage processes at a Swedish emergency department

OBJECTIVE

To determine the impact on emergency department (ED) throughput times and proportion of patients who leave without being seen by a physician (LWBS) of two triage interventions, where comprehensive nurse-led triage was first replaced by senior physician-led triage and then by interprofessional teamwork.

DESIGN

Single-centre before-and-after study.

SETTING

Adult ED of a Swedish urban hospital.

PARTICIPANTS

Patients arriving on weekdays 08:00 to 21:00 during three 1-year periods in the interval May 2012 to November 2015. A total of 185 806 arrivals were included.

INTERVENTIONS

Senior physicians replaced triage nurses May 2013 to May 2014. Interprofessional teamwork replaced the triage process on weekdays 08:00 to 21:00 November 2014 to November 2015.

MAIN OUTCOME MEASURES

Primary outcomes were the median time to physician (TTP) and the median length of stay (LOS). Secondary outcome was the LWBS rate.

RESULTS

The crude median LOS was shortest for teamwork, 228 min (95% CI 226.4 to 230.5) compared with 232 min (95% CI 230.8 to 233.9) for nurse-led and 250 min (95% CI 248.5 to 252.6) for physician-led triage. The adjusted LOS for the teamwork period was 16 min shorter than for nurse-led triage and 23 min shorter than for physician-led triage. The median TTP was shortest for physician-led triage, 56 min (95% CI 54.5 to 56.6) compared with 116 min (95% CI 114.4 to 117.5) for nurse-led triage and 74 min (95% CI 72.7 to 74.8) for teamwork. The LWBS rate was 1.9% for nurse-led triage, 1.2% for physician-led triage and 3.2% for teamwork. All outcome measure differences had two-tailed p values<0.01.

CONCLUSIONS

Interprofessional teamwork had the shortest length of stay, a shorter time to physician than nurse-led triage, but a higher LWBS rate. Interprofessional teamwork may be a useful approach to reducing ED throughput times.

Emergency department overcrowding: Quality improvement in a Taiwan Medical Center

BACKGROUND/PURPOSE

Overcrowding of hospital emergency departments (ED) is a worldwide health problem. The Taiwan Joint Commission on Hospital Accreditation has stressed the importance of finding solutions to overcrowding, including, reducing the number of patients with >48 h stay in the ED. Moreover, the Ministry of Health and Welfare aims at transferring non-critical patients to district or regional hospitals. We report the results of our Quality Improvement Project (QIP) on ED overcrowding, especially focusing on reducing length of stay (LOS) in ED.

METHODS

For QIP, the following 3 action plans were initiated: 1) Changing the choice architecture of patients' willingness to transfer from opt-in to opt-out; 2) increasing the turnover rate of beds and daily monitoring of the number of free beds for boarding ED patients; 3) reevaluation of patients with a LOS of >32 h after the morning shift.

RESULTS

Transfer rates increased minimally after implementation of this project, but the sample size was too small to achieve statistical significance. No significant increase was observed in the number of free medical beds, but discharge rates after 12 pm decreased significantly (p < 0.001). The proportion of over 48 h LOSs decreased from 4.9% to 3.7% before and after QIP implementation, respectively (p < 0.001).

CONCLUSION

Patients with LOS of >32 h were reevaluated first. After QIP, the proportion of LOSs of >48 h dropped significantly. Changing the choice architecture may require further systemic effort and a longer observation duration. Higher-level administrators will need to formulate a more comprehensive bed management plan to speed up the turnover rate of free inpatient beds.

Emergency department boarding: a descriptive analysis and measurement of impact on outcomes

OBJECTIVES

Delays in transfer of admitted patients boarded in the emergency department (ED) to an inpatient bed is a major driver of ED overcrowding. We sought to identify explanatory factors behind ED boarding as well as the impact of boarding on total inpatient length of stay (IP LOS) and inpatient mortality.

METHODS

We conducted a retrospective single-centre observational study during the period between January 1 and December 31, 2015 at a very high volume community hospital. All patients admitted from the ED to Medicine, Pediatrics, Surgery, and Critical Care were identified. The mean ED LOS and boarding time as well as patient-specific and institutional factors that were independently associated with prolonged ED LOS (≥24 hours) and prolonged boarding time (≥12 hours) were identified. Mean inpatient length of stay (IP LOS) and the odds of inpatient mortality were calculated for those patients with prolonged ED wait times.

RESULTS

There were 13,872 unique admissions during the study period. Patients admitted to the Medicine service exhibited significantly higher ED wait times than other services. Within Medicine patients, there was a statistically significant greater odds of prolonged ED wait times for patients who were older, had a greater comorbidity burden, and required more specialized inpatient care. Medicine patients with prolonged boarding times also experienced a mean of 0.9 days longer IP LOS even after adjusting for confounders.

CONCLUSION

Within our cohort, older, sicker patients and those patients requiring more resource-intensive inpatient care had the longest ED wait times. These prolonged wait times are associated with significantly increased IP LOS.

True Costs of Medical Clearance: Accuracy and Disagreement between Psychiatry and Emergency Medicine Providers

Introduction:

Medical clearance is required to label patients with mental illness as free of acute medical concerns. However, tests may extend emergency department lengths of stay and increase costs to patients and hospitals. The objective of this study was to determine how knowledgeable emergency and psychiatric providers are about the costs of tests used for medical clearance.

Materials and Methods:

We surveyed the department of psychiatry (Psych) and department of emergency medicine (EM) faculty and residents to obtain their estimates of the costs of 18 laboratory/imaging studies commonly used for medical clearance. Survey responses were analyzed using the Wilcoxon signed-rank test to compare the median cost estimates between residents and faculty in EM and Psych.

Results:

A total of 99 physicians (response rate, 47.8%) completed the survey, including 47 faculty (EM = 28; Psych = 20) and 52 residents (EM = 29; Psych = 23). Across all the groups, cost estimates for tests were inaccurate, off by several hundred dollars for three tests, and by $13–$80 for 15. Significant differences between EM and Psych providers for estimated median costs of specific tests included between residents for urine drug screens (EM: $800; Psych: $50; P < 0.0001) and ECG (EM: $25; Psych: $75; P = 0.004); between faculty for urinalysis (EM: $40; Psych: $18; P = 0.020) and urine drug screen (EM: $100; Psych: $10; P < 0.0001); and between all physicians for urine drug screen (EM: $500; Psych: $50; P < 0.0001).

Conclusion:

Further education on the financial costs of medical clearance is needed to inform workup decisions and consensus between emergency and psychiatric providers.

Opening of Psychiatric Observation Unit Eases Boarding Crisis

OBJECTIVES

The objective of this study was to evaluate the effect of a psychiatric observation unit in reducing emergency department (ED) boarding and length of stay (LOS) for patients presenting with primary psychiatric chief complaints. A secondary outcome was to determine the effect of a psychiatric observation unit on inpatient psychiatric bed utilization.

METHODS

This study was a before-and-after analysis conducted in a 1,541-bed tertiary care academic medical center including an adult ED with annual census over 90,000 between February 2013 and July 2014. All adult patients (age > 17 years) requiring evaluation by the acute psychiatry service in the crisis intervention unit (CIU) within the ED were included. Patients who left without being seen, left against medical advice, or were dispositioned to the pediatric hospital, hospice, or court/law enforcement were excluded. In December 2013, a 12-bed locked psychiatric observation unit was opened that included dedicated behavioral health staff and was intended for psychiatric patients requiring up to 48 hours of care. The primary outcomes were ED LOS, CIU LOS, and total LOS. Secondary outcomes included the hold rate defined as the proportion of acute psychiatry patients requiring subsequent observation or inpatient admission and the inpatient psychiatric admission rate. For the primary analysis we constructed ARIMA regression models that account for secular changes in the primary outcomes. We conducted two sensitivity analyses, first replicating the primary analysis after excluding patients with concurrent acute intoxication and second by comparing the 3-month period postintervention to the identical 3-month period of the prior year to account for seasonality.

RESULTS

A total of 3,501 patients were included before intervention and 3,798 after intervention. The median ED LOS for the preintervention period was 155 minutes (interquartile range [IQR] = 19-346 minutes), lower than the median ED LOS for the postintervention period of 35 minutes (IQR = 9-209 minutes, p < 0.0001). Similar reductions were observed in CIU LOS (865 minutes vs. 379 minutes, p < 0.0001) and total LOS (1,112 minutes vs. 920 minutes, p = 0.003). The psychiatric hold rate was statistically higher after intervention (before = 42%, after = 50%, p < 0.0001), however, coupled with a statistically lower psychiatric admission rate (before = 42%, after = 25%, p < 0.0001).

CONCLUSIONS

Creation of an acute psychiatric observation improves ED and acute psychiatric service throughput while supporting the efficient allocation of scare inpatient psychiatric beds. This novel approach demonstrates the promise of extending successful observation care models from medical to psychiatric illness with the potential to improve the value of acute psychiatric care while minimizing the harms of ED crowding.

Comparison of patient flow and provider efficiency of two delivery strategies for HPV-based cervical cancer screening in Western Kenya: a time and motion study

Background: Improving patient flow and reducing over-crowding can improve quality, promptness of care, and patient satisfaction. Given low utilization of preventive care in low-resource countries, improved patient flows are especially important in these settings.

Objective: Compare patient flow and provider efficiency between two cervical cancer screening strategies via self-collected human papillomavirus (HPV).

Methods: We collected time and motion data for patients screened for cervical cancer in 12 communities in rural Migori County, Kenya as part of a larger cluster randomized trial. Six communities were randomized to screening in community health campaigns (CHCs) and six to screening at government clinics. We quantified patient flow: duration spent on each active stage of screening and wait times, and the number of patients arriving at CHCs and clinics each hour of the day. In addition, for four CHCs, we collected time and motion data for providers, and measured provider efficiency as a ratio of active (service delivery) time to total time spent at the clinic.

Results: Total duration of screening visits, at CHCs and clinics was 42 and 87 minutes, respectively (p < 0.001 for difference). Total active time lasted longer at CHCs, with a mean of 28 minutes per patient versus 15 minutes at clinics, largely due to differences in duration for group education (p < 0.001). Wait time for registration at clinics was 36 minutes, explaining most of the difference between settings, but sometimes incorporated other health services.

Conclusions: There is a substantial difference in patient flow at clinics compared to CHCs. Shorter duration at CHCs suggests that the model is favorable for patients in limiting time spent on screening. Future cervical cancer screening programs designed for scale-up should consider how this advantage may enhance satisfaction and uptake. For clinic-based screening programs, efforts could be made towards reducing registration wait times.

[Standing Orders and Quality of Care at Triage in Emergency Services: Integrative Review]

INTRODUCTION

Overcrowding of emergency services is a widespread problem in western countries. This situation results in negative patient outcomes and influences the quality of care. Standing orders are a possible way to improve the quality and performance of the health system. The aim of this article is to identify, based on a review of the literature, the effects of standing orders initiated by triage nurses in emergency services on the quality of care.

METHODS

The quality of care dimensions of the Institute of Medicine (2001) were used as a frame of reference. The integrative review was performed on a selection of articles from Cochrane, CINALH, EMBASE, Medline, PubMed and Google Scholar. A total of 23 articles were selected and analysed.

RESULTS

The integrative review documented the effects of standing orders initiated by triage nurses on the six dimensions of quality of care: effectiveness, patient-centeredness, efficiency, timeliness, safety and equity. Standing orders are able to improve the efficiency of care by reducing, among other things, the time to treatment and diagnostic tests. They also reduce the length of stay of patients in emergency services.

CONCLUSION

Standing orders initiated by triage nurses in emergency services can have positive effects on the quality of care provided to the patient. Further research with more robust study designs is needed.

Emergency department overcrowding: a survey among European neurotrauma centres

Background

ED overcrowding is an increasing problem worldwide that may negatively affect quality of care and patient outcomes. We aimed to study ED overcrowding across European centres.

Methods

Questionnaires on structure and process of care, including crowding, were distributed to 68 centres participating in a large European study on traumatic brain injury (Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury).

Results

Of the 65 centres included in the analysis, 32 (49%) indicated that overcrowding was a frequent problem and 28 (43%) reported that patients were placed in hallways ‘multiple times a day’; 27 (41%) stated that multiple times a day, there was no bed available when a patient needed to be admitted. Ambulance diversion rarely occurred in the participating centres.

Conclusion

Similar to reports from other parts of the world, ED crowding appears to be a considerable problem in Europe. More research is needed to determine effective ways to reduce overcrowding.

Emergency department boarding and adverse hospitalization outcomes among patients admitted to a general medical service

OBJECTIVE

Overcrowding in the emergency department (ED) has been associated with patient harm, yet little is known about the association between ED boarding and adverse hospitalization outcomes. We sought to examine the association between ED boarding and three common adverse hospitalization outcomes: rapid response team activation (RRT), escalation in care, and mortality.

METHOD

We conducted an observational analysis of consecutive patient encounters admitted from the ED to the general medical service between February 2013 and June 2015. This study was conducted in an urban, academic hospital with an annual adult ED census over 90,000. We defined boarding as patients with greater than 4h from ED bed order to ED departure to hospital ward. The primary outcome was a composite of adverse outcomes in the first 24h of admission, including RRT activation, care escalation to intensive care, or in-hospital mortality.

RESULTS

A total of 31,426 patient encounters were included of which 3978 (12.7%) boarded in the ED for 4h or more. Adverse outcomes occurred in 1.92% of all encounters. Comparing boarded vs. non-boarded patients, 41 (1.03%) vs. 244 (0.90%) patients experienced a RRT activation, 53 (1.33%) vs. 387 (1.42%) experienced a care escalation, and 1 (0.03%) vs.12 (0.04%) experienced unanticipated in-hospital death, within 24h of ED admission. In unadjusted analysis, there was no difference in the composite outcome between boarding and non-boarding patients (1.91% vs. 1.91%, p=0.994). Regression analysis adjusted for patient demographics, acuity, and comorbidities also showed no association between boarding and the primary outcome. A sensitivity analysis showed an association between ED boarding and the composite outcome inclusive of the entire inpatient hospital stay (5.8% vs. 4.7%, p=0.003).

CONCLUSION

Within the first 24h of hospital admission to a general medicine service, adverse hospitalization outcomes are rare and not associated with ED boarding.

Consequences of the 48-h rule: A lens into the psychiatric patient flow through an emergency department

OBJECTIVE

Psychiatric patient boarding in emergency department (ED) is a severe and growing problem. In July 2013, Minnesota implemented a law requiring jailed persons committed to state psychiatric facilities be transferred within 48-h of commitment. This study aims to quantify the effect of this law on a large ED's psychiatric patient flow.

METHODS

A pre- and post- comparison of 2011-2015 ED length of stay (LOS) for adult psychiatric patients was performed using electronic medical record data. Comparisons of the median LOS were assessed using a segmented regression model with time series error, and risk differences (RD) were used to determine changes in the proportion of patients with LOS ≥3 and ≥5days. Changes in patient disposition proportions were assessed using risk ratios.

RESULTS

The median ED LOS for patients admitted for psychiatric care increased by 5.22h from 2011 to 2015 (95% CI: (4.33, 7.15)), while the frequency of patient encounters remained constant. Although no significant difference in the rate of ED LOS increase was found pre- and post- implementation, the proportion of adults with LOS ≥3days and ≥15days increased (RD 0.017 (95% CI: (0.013, 0.021)); 0.002 (95% CI: (0.001,0.004)), respectively).

CONCLUSIONS

The proportion of ED adult psychiatric patients experiencing prolonged LOS increased following the implementation of a statewide law requiring patients committed through the criminal justice system be transferred to a state psychiatric hospital within 48h. Identifying characteristics of subsets of psychiatric patients disproportionally affected could suggest focused healthcare system improvements to improve ED psychiatric care.

An Evolutionary Computation Approach for Optimizing Multilevel Data to Predict Patient Outcomes

Widespread adoption of electronic health records (EHR) and objectives for meaningful use have increased opportunities for data-driven predictive applications in healthcare. These decision support applications are often fueled by large-scale, heterogeneous, and multilevel (i.e., defined at hierarchical levels of specificity) patient data that challenge the development of predictive models. Our objective is to develop and evaluate an approach for optimally specifying multilevel patient data for prediction problems. We present a general evolutionary computational framework to optimally specify multilevel data to predict individual patient outcomes. We evaluate this method for both flattening (single level) and retaining the hierarchical predictor structure (multiple levels) using data collected to predict critical outcomes for emergency department patients across five populations. We find that the performance of both the flattened and hierarchical predictor structures in predicting critical outcomes for emergency department patients improve upon the baseline models for which only a single level of predictor—either more general or more specific—is used (p < 0.001). Our framework for optimizing the specificity of multilevel data improves upon more traditional single-level predictor structures and can readily be adapted to similar problems in healthcare and other domains.

Validity of the Japan Acuity and Triage Scale in adults: a cohort study

OBJECTIVE

The Japan Acuity and Triage Scale (JTAS) was developed based on Canadian Triage and Acuity Scale in 2012 and has been implemented in many Japanese EDs. We assessed the validity of JTAS by examining the association between JTAS triage levels and throughput and clinical outcomes in adult patients.

METHODS

We conducted a retrospective analysis of prospectively collected clinical data in the ED of a Japanese tertiary-care hospital. We included self-presenting patients who were ≥16 years of age and triaged between June 2013 and May 2014. We assessed the association between the triage level and overall admission and admission to the intensive care units (ICUs) with multivariable logistic regression analysis adjusted with patients' age and the time of visit and ED length of stay using the Kruskal-Wallis rank-sum test. We examined the predictive ability of JTAS for determining overall and ICU admission using receiver operating characteristic curves.

RESULTS

We included a total of 27 120 adult patients in our study. The OR for overall admission was greater with a higher triage level compared with the lowest urgency levels. ED length of stay was significantly longer with a higher JTAS level (p<0.001). The OR for ICU admission was greater in JTAS 1 (117.93 (95% CI 69.07 to 201.38)) and JTAS 2 (9.43 (95% CI 13.74 to 29.30)) compared with the lowest urgency levels. The areas under the curve for the predictive ability of JTAS for overall and ICU admission were 0.726 and 0.792, respectively.

CONCLUSION

Our study suggests an association of JTAS acuity with overall admission, ICU admission and ED length of stay, thereby demonstrating the predictive validity of JTAS.

The Utility of Point-of-Care Testing at Emergency Department Triage by Nurses in Simulated Scenarios

We developed and tested simulated patient scenarios to assess how normal or abnormal point-of-care (POC) test results at triage change prioritization decisions. This was a cross-sectional study where our team developed simulated scenarios and presented them to triage nurses from 3 academic medical centers. Twenty-four scenarios were constructed on the basis of 12 clinical indications from a protocol previously developed by our team. In each scenario, nurses were presented with 2 patients with the same Emergency Severity Index Version 4 (ESI v.4; Agency for Healthcare Research and Quality, Rockville, MD) triage level (Level 2 or Level 3). One of the patients met the inclusion criteria for POC testing under the protocol (cases), whereas the other patient did not (controls). Nurses were asked which of the 2 patients to prioritize first in 3 separate rounds: first without any POC test results, once with abnormal POC test results for case patients, and once with normal POC test results for case patients. Prioritization decisions that changed on the basis of abnormal POC results were defined as "up-triage" and prioritization decisions that changed on the basis of normal results were defined as "down-triage." A total of 39 nurses completed 468 scenarios. In scenarios without any POC test results, 42.3% of case patients were prioritized first. When POC test results were abnormal, 71.6% of cases were prioritized first. When POC test results were normal, 32.7% of case patients were prioritized first. An abnormal POC test resulted in up-triage in 32.5% of the scenarios. When POC test results were normal, there was down-triage in 18.6% of the scenarios. Up- and down-triage rates varied considerably by scenario and clinical indication. Point-of-care testing at emergency department triage results in reasonably high rates of up- and down-triage in simulated scenarios; however, POC tests for specific indications appear to be more useful than others.

Code Help: Can This Unique State Regulatory Intervention Improve Emergency Department Crowding?

Introduction

Emergency department (ED) crowding adversely affects multiple facets of high-quality care. The Commonwealth of Massachusetts mandates specific, hospital action plans to reduce ED boarding via a mechanism termed "Code Help." Because implementation appears inconsistent even when hospital conditions should have triggered its activation, we hypothesized that compliance with the Code Help policy would be associated with reduction in ED boarding time and total ED length of stay (LOS) for admitted patients, compared to patients seen when the Code Help policy was not followed.

Methods

This was a retrospective analysis of data collected from electronic, patient-care, timestamp events and from a prospective Code Help registry for consecutive adult patients admitted from the ED at a single academic center during a 15-month period. For each patient, we determined whether the concurrent hospital status complied with the Code Help policy or violated it at the time of admission decision. We then compared ED boarding time and overall ED LOS for patients cared for during periods of Code Help policy compliance and during periods of Code Help policy violation, both with reference to patients cared for during normal operations.

Results

Of 89,587 adult patients who presented to the ED during the study period, 24,017 (26.8%) were admitted to an acute care or critical care bed. Boarding time ranged from zero to 67 hours 30 minutes (median 4 hours 31 minutes). Total ED LOS for admitted patients ranged from 11 minutes to 85 hours 25 minutes (median nine hours). Patients admitted during periods of Code Help policy violation experienced significantly longer boarding times (median 20 minutes longer) and total ED LOS (median 46 minutes longer), compared to patients admitted under normal operations. However, patients admitted during Code Help policy compliance did not experience a significant increase in either metric, compared to normal operations.

Conclusion

In this single-center experience, implementation of the Massachusetts Code Help regulation was associated with reduced ED boarding time and ED LOS when the policy was consistently followed, but there were adverse effects on both metrics during violations of the policy.

Effects of eliminating routine use of oral contrast for computed tomography of the abdomen and pelvis: A pilot study

INTRODUCTION

Computed tomography (CT) of the abdomen and pelvis using only intravenous contrast has been shown to have a high degree of accuracy in evaluating abdominal pain. The aim of this study was to determine the effect on time to completion of study, time to radiologist read, and length of stay in the emergency department (ED) of implementing a protocol that stopped the routine use of oral contrast for CT of the abdomen and pelvis.

METHODS

This was a single-center, retrospective cohort study. All patients ≥18 years of age who presented to the ED and required a CT of the abdomen and pelvis during the hours 0700-1500 were included. There were two one-month study periods, before and after implementing a protocol that specified oral contrast should only be used for CT scans of the abdomen and pelvis if body mass index <25 kg/m² or age < 30 years, or if there was history of inflammatory bowel disease, gastrointestinal surgery, or suspected bowel malignancy.

RESULTS

During the pre- and post-implementation periods, there were 93 and 83 patients, respectively, with mean times to CT completion of 158 min and 135 min, representing a reduction of 23 min (15%). The mean lengths of stay in the pre- and post-implementation periods were 365 min and 336 min, a decrease of 29 min (8%).

CONCLUSION

A protocol without the routine use of oral contrast for CT of the abdomen and pelvis can result in improved time to completion and ED length of stay.

Using Lean Management to Reduce Emergency Department Length of Stay for Medicine Admissions

BACKGROUND

The practice of boarding admitted patients in the emergency department (ED) carries negative operational, clinical, and patient satisfaction consequences. Lean tools have been used to improve ED workflow. Interventions focused on reducing ED length of stay (LOS) for admitted patients are less explored.

OBJECTIVE

To evaluate a Lean-based initiative to reduce ED LOS for medicine admissions.

DESIGN, SETTING, PATIENTS

Prospective quality improvement initiative performed at a single university-affiliated Department of Veterans Affairs (VA) medical center from February 2013 to February 2016.

INTERVENTION

We performed a Lean-based multidisciplinary initiative beginning with a rapid process improvement workshop to evaluate current processes, identify root causes of delays, and develop countermeasures. Frontline staff developed standard work for each phase of the ED stay. Units developed a daily management system to reinforce, evaluate, and refine standard work.

MEASUREMENTS

The primary outcome was the change in ED LOS for medicine admissions pre- and postintervention. ED LOS at the intervention site was compared with other similar VA facilities as controls over the same time period using a difference-in-differences approach.

RESULTS

ED LOS for medicine admissions reduced 26.4%, from 8.7 to 6.4 hours. Difference-in-differences analysis showed that ED LOS for combined medicine and surgical admissions decreased from 6.7 to 6.0 hours (-0.7 hours, P = .003) at the intervention site compared with no change (5.6 hours, P = .2) at the control sites.

CONCLUSIONS

We utilized Lean management to significantly reduce ED LOS for medicine admissions. Specifically, the development and management of standard work were key to sustaining these results.