Review article: Leaving the emergency department without being seen

The association between nurse staffing and quality of care in emergency departments: A systematic review

BACKGROUND

The relationship between nurse staffing, skill-mix and quality of care has been well-established in medical and surgical settings, however, there is relatively limited evidence of this relationship in emergency departments. Those that have been published identified that lower nurse staffing levels in emergency departments are generally associated with worse outcomes with the conclusion that the evidence in emergency settings was, at best, weak.

METHODS

We searched thirteen electronic databases for potentially eligible papers published in English up to December 2023. Studies were included if they reported on patient outcomes associated with nurse staffing within emergency departments. Observational, cross-sectional, prospective, retrospective, interrupted time-series designs, difference-in-difference, randomised control trials or quasi-experimental studies and controlled before and after studies study designs were considered for inclusion. Team members independently screened titles and abstracts. Data was synthesised using a narrative approach.

RESULTS

We identified 16 papers for inclusion; the majority of the studies (n = 10/16) were observational. The evidence reviewed identified that poorer staffing levels within emergency departments are associated with increased patient wait times, a higher proportion of patients who leave without being seen and an increased length of stay. Lower levels of nurse staffing are also associated with an increase in time to medications and therapeutic interventions, and increased risk of cardiac arrest within the emergency department.

CONCLUSION

Overall, there remains limited high-quality empirical evidence addressing the association between emergency department nurse staffing and patient outcomes. However, it is evident that lower levels of nurse staffing are associated with adverse events that can result in delays to the provision of care and serious outcomes for patients. There is a need for longitudinal studies coupled with research that considers the relationship with skill-mix, other staffing grades and patient outcomes as well as a wider range of geographical settings.

TWEETABLE ABSTRACT

Lower levels of nurse staffing in emergency departments are associated with delays in patients receiving treatments and poor quality care including an increase in leaving without being seen, delay in accessing treatments and medications and cardiac arrest.

Characteristics and patient impact of boarding in the pediatric emergency department, 2018-2022

OBJECTIVES

Boarding admitted patients in the emergency department is an important cause of throughput delays and safety risks in adults, though has been less studied in children. We assessed changes in boarding in a pediatric ED (PED) from 2018 to 2022 and modeled associations between boarding and select quality metrics.

METHODS

We performed a retrospective analysis of PED patients admitted to non-psychiatric services, broken into four periods: pre-COVID-19 (Period I, 01/2018-02/2020), early pandemic (II, 03/2020-06/2021), COVID-19 variants (III, 07/2021-06/2022), and non-COVID respiratory viruses (IV, 07/2022-12/2022). Patients were classified as critical (intensive care units (ICU)) or acute care (non-ICU inpatient services) based on their initial bed request. We compared median boarding times with Kruskal-Wallis tests. We assessed the relationship between boarding time and hospital length-of-stay (LOS) through hazard regression models, and the association between boarding time and PED return visit, readmission, and patient safety events through adjusted logistic regressions.

RESULTS

Median PED boarding time significantly increased from Period I (acute: 2.4 h; critical: 3.0 h) to Period II (acute: 3.0 h, critical: 4.0 h) to Period III (acute: 4.4 h, critical: 6.6 h) to Period IV (acute: 6.2 h; critical: 9.5 h). On survival analysis, as boarding time increased, hospital LOS increased for acute admissions and decreased for critical admissions. Increased acute care boarding time was associated with higher odds of a filed safety report.

CONCLUSIONS

Since July 2021, PED boarding time increased for admitted children across acute and critical admissions. The relationship between acute care boarding and longer hospital LOS suggests a resource-inefficient, self-perpetuating cycle that demands multi-disciplinary solutions.

Characteristics of First Nations patients who take their own leave from an inner-city emergency department, 2016-2020

OBJECTIVE

Using a strength-based framework, we aimed to describe and compare First Nations patients who completed care in an ED to those who took their own leave.

METHODS

Routinely collected adult patient data from a metropolitan ED collected over a 5-year period were analysed.

RESULTS

A total of 6446 presentations of First Nations patients occurred from 2016 to 2020, constituting 3% of ED presentations. Of these, 5589 (87%) patients waited to be seen and 857 (13%) took their own leave. Among patients who took their own leave, 624 (73%) left not seen and 233 (27%) left at own risk after starting treatment. Patients who were assigned a triage category of 4-5 were significantly more likely to take their own leave (adjusted odds ratio [OR] 3.17, 95% confidence interval [CI] 2.67-3.77, P < 0.001). Patients were significantly less likely to take their own leave if they were >60 years (adjusted OR 0.69, 95% CI 1.01-1.36, P = 0.014) and had private health insurance (adjusted OR 0.61, 95% CI 0.45-0.84, P < 0.001). Patients were more likely to leave if they were women (adjusted OR 1.17, 95% CI 1.01-1.36, P = 0.04), had an unknown housing status (adjusted OR 1.76, 95% CI 1.44-2.15, P < 0.001), were homeless (adjusted OR 1.50, 95% CI 1.22-1.93, P < 0.001) or had a safety alert (adjusted OR 1.60, 95% CI 1.35-1.90, P < 0.001).

CONCLUSION

A lower triage category is a strong predictor of First Nations patients taking their own leave. It has been documented that First Nations patients are under-triaged. One proposed intervention in the metropolitan setting is to introduce practices which expediate the care of First Nations patients. Further qualitative studies with First Nations patients should be undertaken to determine successful approaches to create equitable access to emergency healthcare for this population.

The Impact of COVID-19 on Cancer Care in a Tertiary Hospital in Korea: Possible Collateral Damage to Emergency Care

Objectives

We investigated the impact of the COVID-19 pandemic on cancer care in a tertiary hospital of South Korea without the specific lockdown measures.

Methods

A retrospective cohort of cancer patients from one of the largest tertiary hospitals in South Korea was used to compare the healthcare utilization in different settings (outpatient clinic, emergency department (ED), and admission) between the period of January 1 and December 31, 2020 and the same time period in 2019. The percent changes in healthcare utilization between two periods were calculated.

Results

A total of 448,833 cases from the outpatient cohort, 26,781 cases from the ED cohort, and 14,513 cases from the admission cohort were reviewed for 2019 and 2020. The total number of ED visit cases significantly decreased in 2020 than in 2019 by 18.04%, whereas the proportion of cancer patients maintained. The reduction in ED visits was more prominent in cases with COVID-19 suspicious symptoms, with high acuity, and those who lived in non-capital city area. There were no significant changes in the number of total visits and new cases in the outpatient clinic between two periods. No significant differences in the total number of hospitalizations were observed between two periods.

Conclusion

During the pandemic, the number of ED visits significantly decreased, while the use of outpatient clinic and hospitalizations were not affected. Cancer patients' ED visits decreased after the COVID-19 outbreak, suggesting the potential for collateral damage outside the hospital if the ED could not be reached in a timely manner.

Effect of fever or respiratory symptoms on leaving without being seen during the COVID-19 pandemic in South Korea

Objective Coronavirus disease 2019 (COVID-19) has notably altered the emergency department isolation protocol, imposing stricter requirements on probable infectious disease patients that enter the department. This has caused adverse effects, such as an increased rate of leave without being seen (LWBS). This study describes the effect of fever/respiratory symptoms as the main cause of isolation regarding LWBS after the COVID-19 pandemic.Methods We retrospectively analyzed emergency department visits before (March to July 2019) and after (March to July 2020) the COVID-19 pandemic. Patients were grouped based on existing fever or respiratory symptoms, with the LWBS rate as the primary outcome. Logistic regression analysis was used to identify the risk factors of LWBS. Logistic regression was performed using interaction terminology (fever/respiratory symptom patient [FRP] × post–COVID-19) to determine the interaction between patients with FRPs and the COVID-19 pandemic period.Results A total of 60,290 patients were included (34,492 in the pre–COVID-19, and 25,298 in the post–COVID-19 group). The proportion of FRPs decreased significantly after the pandemic (P < 0.001), while the LWBS rate in FRPs significantly increased from 2.8% to 19.2% (P < 0.001). Both FRPs (odds ratio, 1.76; 95% confidence interval, 1.59–1.84 (P < 0.001) and the COVID-19 period (odds ratio, 2.29; 95% confidence interval, 2.15–2.44; P < 0.001) were significantly associated with increased LWBS. Additionally, there was a significant interaction between the incidence of LWBS in FRPs and the COVID-19 pandemic period (P < 0.001).Conclusion The LWBS rate has increased in FRPs after the COVID-19 pandemic; additionally, the effect observed was disproportionate compared with that of nonfever/respiratory symptom patients.

Characteristics and retention of emergency department patients who left without being seen (LWBS)

A retrospective observational study was conducted for patients 18 years or older presenting to a Midwestern emergency department (ED) in the United States during February 2019-January 2020 to characterize associated subsequent care utilization in patients who left the ED without being seen. Patients were classified as left without being seen (LWBS) based on documented ED disposition. The healthcare system's records were reviewed for any associated utilizations within 3 weeks following the initial ED encounter. During the study period, 45,456 patients presented to the ED, with 2269 (5.0%) classified as LWBS. The median documented time until patients left the ED was 112 min. Of these patients, 1257 (55.4%) had a subsequent encounter within the health system within 3 weeks and 920 (73.2%) of these visits were determined to be related to the LWBS chief complaint. These visits included 67.5% of patients returning to ED or hospital, 27.5% to primary care or an urgent care clinic, and 5.0% to a specialty or other provider appointment. Of patients returning to ED, 78.1% did so within 72 h. Patients without a subsequent health system associated encounter tended to be younger, female, non-White, and present with possible lower-acuity chief complaints. At least one-half of LWBS patients sought care related to the concerns by a health system provider within 3 weeks of the initial encounter within the same system. The high prevalence of ED returns within a narrow turnaround window highlights a missed opportunity to provide services to these patients during their initial encounter.

The Impacts of COVID-19 on Healthcare Quality in Tertiary Medical Centers-A Retrospective Study on Data from Taiwan Clinical Performance Indicators System

To date, COVID-19 is by far the most impactful contagious disease of the 21st century and it has had a devastating effect on public health in countries around the globe. Elective medical services have declined markedly since the outbreak of the COVID-19 pandemic. Few studies have compared changes in healthcare quality before and during the outbreak of COVID-19 in Eastern Asian countries. We aimed to explore the impacts of COVID-19 on healthcare quality among medical centers in Taiwan. This was a retrospective study that collected anonymized data from the Taiwan Clinical Performance Indicator system, which was founded by the Joint Commission of Taiwan, an organization to promote, execute, and certify the nation’s healthcare quality policies. We explored quality indicators reported by more than three-quarters of medical centers in Taiwan from January 2019 to December 2020. The year 2019 was defined as the baseline period and 2020 was defined as the period after the start of the outbreak of COVID-19. Quality indicators from different regions were analyzed. Unscheduled returns of emergency patients within 72 h of their discharge, unscheduled returns of hospitalized patients within 14 days of their discharge, and unscheduled returns of surgical patients to the operating room during hospitalization all declined during the COVID-19 outbreak. Interestingly, the proportion of acute ischemic stroke patients receiving intravenous tissue-type plasminogen activator (IV-tPA) increased during outbreak of COVID-19. There were significant regional variations in healthcare quality indicators among medical centers in northern and middle/southern Taiwan. The outbreak of COVID-19 changed different patterns of healthcare systems. Although healthcare quality seemed to improve, further investigation is warranted to better understand whether those who were in need of returning to the emergency room or hospital were reluctant or were prevented from travel by the shelter-in-place policy.

Increasing consultant-level staffing as a proportion of overall physician coverage improves emergency department length of stay targets

Objectives

One goal of Emergency Department (ED) operations is achieving an overall length of stay (LOS) that is less than four hours. The goal of the current study was to assess for association between increasing number of on-duty EM Consultants and LOS, while adjusting for overall (all-grade) on-duty emergency doctors’ numbers and other operational factors.

Methods

This was a retrospective analysis of three years (2016–2019) of data, employing a unit of analysis of 3276 eight-hour ED shifts. The study was conducted using a prospectively populated ED database in a busy (annual census 420,000) Middle Eastern ED with staffing by Consultants and multiple non-Consultant grades (Specialists, fellows, and residents). Using logistic regression, the main predictor variable of “on-duty Consultant n” was assessed for association with the study’s primary (dichotomous) endpoint: whether a shift’s median LOS met the target of < 240 min. Linear regression was used to assess for association between on-duty Consultant n and the study’s secondary (continuous) endpoint: median LOS for the ED shift.

Results

Multivariate logistic regression adjusting for a number of operations factors (including total EP on-duty complement) identified an association between increasing n of on-duty Consultants and the likelihood of a shift’s meeting the 4-h ED LOS target (OR 1.27, 95% CI 1.20 to 1.34, p < .0001). Multiple linear regression, which also adjusted for total on-duty EP n and other operational factors, also indicated LOS benefit from more on-duty Consultants: each additional on-duty Consultant was associated with a shift’s median LOS improving by 5.4 min (95% CI 4.3 to 6.5, p < .0001).

Conclusions

At the study site, in models that adjusted for overall on-duty EP numbers as well as myriad other operational factors, increasing numbers of on-duty Consultants was associated with a statistically and operationally significant reduction in ED LOS.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12873-020-00399-8.

Patients leaving without being seen from the emergency department: A prediction model using machine learning on a nationwide database

OBJECTIVE

The objective of this study was to develop a US-representative prediction model identifying factors with a greater likelihood of patients leaving without being seen.

METHODS

We conducted a retrospective cohort analysis using a 2016 nationwide emergency department (ED) sample. Patient factors considered for analysis were the following: age, sex, acuity, chronic diseases, weekend visit, quarter of presentation, median household income quartile for patient's zip code, primary/secondary insurance, total charges for the visit, and urban/rural household. Hospital factors considered were urban/rural location, trauma center/teaching hospital, and annual ED volume. Multivariable logistic regression was used to find significant predictors and their interactions. A random forest algorithm was used to determine the order of importance of factors.

RESULTS

A total of 32,680,232 hospital-based ED visits with 466,047 incidences of leaving without being seen were included. The cohort comprised 55.5% females, with a median (IQR) age of 37 (21-58) years. Positively associating factors were male sex (odds ratio [OR], 1.22; 99% confidence interval [CI], 1.17-1.26), lower acuity (P < 0.001), and annual ED visits ≥60,000 (OR, 1.44; 99% CI, 1.21-1.7) versus <20,000. Negatively associating factors were primary insurance being Medicare/Tricare or private insurance (P < 0.001); weekend presentations (OR, 0.87; 99% CI, 0.85-0.89); age >64 or <18 years (P < 0.001); and higher median household income for patient's zip code second (OR, 0.86; 99% CI, 0.77-0.97), third (OR, 0.8; 99% CI, 0.7-0.91), and fourth (OR, 0.7; 99% CI, 0.6-0.8) quartiles versus the first quartile. Significant interactions existed between age, acuity, primary insurance, and chronic conditions. Primary insurance was the most predictive.

CONCLUSION

Our derivation model reiterated several modifiable and non-modifiable risk factors for leaving without being seen established previously while rejecting the importance of others.

The Impact of On-duty Emergency Medicine Trainees on Left-Without-Being-Seen Rates in an Academic Emergency Department

Objectives: One of the endpoints for assessing the emergency department (ED) performance is the left-without-being-seen (LWBS) proportion. This study aimed to evaluate the impact of increasing proportions of on-duty emergency medicine (EM) trainees on LWBS rates in clinical shifts. Methods: The study was conducted at an urban-academic-ED (annual census: 452,757) over a period of one year. We employed multivariate linear regression (p < 0.05) defining significance to identify and adjust for multiple LWBS influencers related to patient care. Results: After analyzing over 1098 shifts, the median LWBS rate was 8.9% (interquartile range 5.3% to 13.5%). The increasing number of EM trainees in the ED did not adversely impact the LWBS; the opposite was noted. In univariate analysis, the increasing proportion of on-duty EM trainee physicians was significantly (p < 0.001) associated with a decrease in the LWBS rates. The multivariate model adjusted for the statistically significant and confounding LWBS influencers, with an absolute increase of 1% in trainees’ proportion of overall on-duty physician coverage, was associated with an absolute decrease of 2.1% in LWBS rates (95% confidence interval 0.43% to 3.8%, p = 0.014). Conclusions: At the study site, there was a statistically and operationally significant improvement in LWBS associated with partial replacement of board-certified specialist-grade EM physicians with EM residents and fellow trainees.

Staff strategies for dealing with care situations at an emergency department

INTRODUCTION

Overcrowding is a common international problem at Emergency Departments often due to those patients get recommendations or referrals from other health professionals to seek care at the emergency department. Crowding brings with it an amount of adverse consequences for both patients and staff, and knowledge about staff's strategies of dealing with this caring situation is limited.

AIM

The aim of the present study was thus to describe staffs' strategies to deal with the caring situations at an emergency department.

METHOD

Secondary analysis has been made of 18 qualitative interviews grounded in a lifeworld perspective. The interviews were analysed by qualitative content analysis.

FINDINGS

The results showed that the staff at the ED worked in twofold directions using both proactive and reactive strategies in order to deal with the care situation when caring for patients at ED. The proactive strategy is optimising conditions, controlling patient flow and being boundary. The reactive strategy is about customising the conversation and holding an open approach.

CONCLUSION

In conclusion, the proactive strategy is to make what you decided for unseen circumstances. The reactive strategy is then about less anticipation of the encounter, waiting for the patient to act and react to it.

IMPLICATION

The result can have implications with respect to developing and improving care at crowded Emergency departments. Knowledge about strategies creates a fundament for developing visible sustainable structure for patient flow in making work patient safety for patients, staff and organisation.

Impact of Emergency Department Phlebotomists on Left-Before-Treatment-Completion Rates

Introduction

The emergency department (ED) serves as the primary access point to the healthcare system. ED throughput efficiency is critical. The percentage of patients who leave before treatment completion (LBTC) is an important marker of department efficiency. Our study aimed to assess the impact of an ED phlebotomist, dedicated to obtaining blood specimen collection on waiting patients, on LBTC rates.

Methods

This study was conducted as a retrospective observational analysis over approximately 18 months (October 5, 2015–March 31, 2017) for patients evaluated by a triage provider with a door-to-room (DtR) time of > 20 minutes (min). LBTC rates were compared in 10-min DtR increments for when the ED phlebotomist collected the patient’s specimen vs not.

Results

Of 71,942 patient encounters occurring during the study period, 17,349 (24.1%) met study inclusion criteria. Of these, 1842 (10.6%) had blood specimen collection performed by ED phlebotomy. The overall LBTC rate for encounters included in the analysis was 5.26% (95% confidence interval [CI], 4.94%–5.60%). Weighting the LBTC rates for each 10-min DtR interval using the fixed effects model led to an overall LBTC rate of 2.74% (95% CI, 2.09%–3.59%) for patient encounters with ED phlebotomist collection vs 5.31% (95% CI, 4.97%–5.67%) in those which did not, yielding a relative reduction of 48% (95% CI, 34%–63%). The effect of the phlebotomist on LBTC rates increased as DtR times increased. The difference in the rate of the rise of LBTC percentages, per 10-min interval, was 0.50% (95% CI, 0.19%–0.81%) higher for non-ED phlebotomist encounters vs phlebotomist encounters.

Conclusion

ED phlebotomy demonstrated a significant reduction in ED LBTC rates. Further, as DtR times increased, the impact of ED phlebotomy became increasingly significant. Adult EDs with increased rates of LBTC patient encounters may want to consider the implementation of ED phlebotomy.

Uncompleted Emergency Department Care (UEDC): a 5-year population-based study in the Veneto Region, Italy

Introduction

Uncompleted visits to emergency departments (UEDC) are a patient safety concern. The purpose of this study was to investigate risk factors for UEDC, describing not only the sociodemographic characteristics of patients who left against medical advice (AMA) and those who left without being seen (LWBS), but also the characteristics of their access to the emergency department (ED) and of the hospital structure.

Methods

This was a cross sectional study on anonymized administrative data in a population-based ED database.

Results

A total of 9,147,415 patients attended EDs in the Veneto Region from 2011 to 2015. The UEDC rate was 28.7‰, with a slightly higher rate of AMA than of LWBS (15.3‰ vs 13.4‰). Age, sex, citizenship, and residence were sociodemographic factors associated with UEDC, and so were certain characteristics of access, such as mode of admission, type of referral, emergency level, waiting time before being seen, and type of medical issue (trauma or other). Some characteristics of the hospital structure, such as the type of hospital and the volume of patients managed, could also be associated with UEDC.

Conclusion

Cases of UEDC, which may involve patients who leave AMA and those who LWBS, differ considerably from other cases managed at the ED. The present findings are important for the purpose of planning and staffing health services. Decision-makers should identify and target the factors associated with UEDC to minimize walkouts from public hospital EDs.

Relevance of using length of stay as a key indicator to monitor emergency department performance: Case study from a rural hospital in Thailand

OBJECTIVE

The present study explores factors related to length of stay (LOS) in a rural public hospital in Thailand and assesses the feasibility of using LOS as an ED key performance indicator.

METHODS

Using a mixed-methods approach, qualitative methods (in-depth interviews, patients' chart review and participatory observations) were used to guide and elaborate findings from quantitative analysis of 555 electronic ED records.

RESULTS

Multivariate analysis revealed that age, Emergency Severity Index score and number of laboratory tests were significantly associated with LOS. The qualitative approach provided contradicting evidence on the linkage between LOS and patient outcomes. On the one hand, considering the 4 h rule, a child with asthma was referred to a tertiary care hospital because of deterioration after 4 h of ED care. On the other hand, a woman with sepsis was hospitalised with improved condition despite 7 h of ED care. Interviews revealed the waiting time to see doctors was probably the top priority issue for patients.

CONCLUSIONS

Factors related to LOS in a rural hospital in Thailand are similar and in contrast to those of a previous study in a medical school setting. Reasons for the discrepancy of findings and implications for improving ED services were discussed. Our data support the notion of controversy in using LOS as a key indicator of ED performance in this rural hospital setting. Thus, it is imperative to not rely on any single throughput or process indicators to monitor ED performance, but to take into account a set of indicators including patient outcomes.

Patients who leave Emergency Department without being seen or during treatment in the Lazio Region (Central Italy): Determinants and short term outcomes

Background and Aims

Patients who leave Emergency Department before physician’s visit (LWBS) or during treatment (LDT) represent a useful indicator of the emergency care's quality. The profile of patients LWBS was described: they are generally males, young, with lower urgency triage allocation and longer waiting time. They have a greater risk of ED re-admission compared to discharged patients, but effect on hospitalization and mortality are more controversial. The aims of this study are to identify determinants and adverse short term outcomes for LWBS and LDT patients.

Methods

This is a retrospective cohort study that include all ED visits of LWBS, LDT and discharged patients in 2015 in the Lazio region, Central Italy. Determinants of LWBS or LDT were selected from gender, age, citizenship, residence area, triage category, chronic comorbidities, number of uncompleted ED visit in the previous year, mode of arrival in ED, time-band, day of the week, waiting time and ED crowding, using a multi-level logistic regression. A multivariate logistic regression was used to test if LWBS or LDT have a greater risk of short term adverse outcome compared to discharged patients.

Results

The cohort consists in 835,440 visits in ED, 86.8% subjects visited and discharged, 8.9% subjects are LWBS patients and 4.3% LDT. LWBS and LDT patients are mainly young, males, with a less severe triage, with long waiting times in ED. Moreover, ED crowding and leaving ED before physician’s visit in the previous year are risk factors of self-discharging. LWBS and LDT patients have a higher risk of readmission (LWBS: OR = 4.63, 95%CI 4.5–4.7; OR = 2.89, 95%CI 2.8–2.9; LDT: OR = 3.12, 95%CI 3–3.2; OR = 2.25, 95%CI2.2–2.3 for readmissions within 2 and 7 days respectively) and hospitalization (LWBS: OR = 3.65, 95%CI 3.4–3.9; OR = 2.25, 95%CI 2.1–2.4; LDT: OR = 3.96, 95%CI 3.6–4.3; OR = 2.62, 95%CI 2.4–2.8 for hospitalization within 2 and 7 days respectively). Furthermore, we find a mortality excess of risk for LWBS patients compared to the reference group (OR = 2.56, 95%CI1.6–4.2; OR = 1.7, 95%CI 1.3–2.2 within 2 and 7 days respectively).

Conclusions

Determinants of LWBS confirmed what already known, but LDT patients should be further investigated. There could be adverse health effects for people with LWBS and LDT behaviour. This could be an issue that the Regional Health System should deal with.

Partial replacement of board-certified specialist-grade physicians with emergency medicine trainees in a busy emergency department: Lack of adverse effect on time to physician

Objectives: Standard emergency department (ED) operation goals include minimization of the time interval between patients' initial ED presentation and initial emergency physician (EP) evaluation. Following up on previous work defining factors influencing the “time to physician” (tMD) in a busy ED, the current study was undertaken to evaluate whether tMD was adversely impacted by the ED's partial replacement of specialist-grade EPs with emergency medicine (EM) trainees (at the resident and fellow level). Methods: This retrospective study was conducted for four months (September–December 2015) using an ED administrative database (EDAD) in an urban academic tertiary ED with an annual census of approximately 500,000; during the four study months, the ED census was 165,969. To minimize confounding by time of day and related factors, data analysis focused solely on the “day shift” (0600–1400) of each of the study period's 122 days. EDAD data were combined with EP rostering data to generate a multivariate linear regression model that assessed the dependent variable tMD, for significant changes associated with increasing proportion – not necessarily always the same as increasing the absolute number of trainees (i.e., summed residents and fellows as a total percent of all on-duty EPs). There were trainees in the study ED throughout the study, but the trainee numbers as a proportion of the overall physician staffing fluctuated, thus providing a basis for analysis. The model adjusted for covariates previously demonstrated to impact tMD at the study center. Analyses were conducted with Stata 14MP, with statistical significance defined at p < 0.05 and confidence intervals (CIs) reported at the 95% level. Results: In an acceptable regression model that adjusted for multiple parameters influencing tMD, the introduction of a covariate representing the proportion of on-duty trainee physicians was very small in magnitude (β estimate 0.07, 95% CI − 0.16 to 0.30) and not statistically significant (p = 0.53). Conclusions: A multivariate analysis adjusting for variables contributing to tMD showed no indication of adverse tMD impact from partial replacement of board-certified specialist-grade EPs with EM trainees given adequate supervision by properly trained faculty.

Parameters affecting length of stay in a pediatric emergency department: a retrospective observational study

Prolonged emergency department (ED) length of stay (LOS) is used as a proxy for ED overcrowding and is associated with adverse outcomes of patients requiring therapy and reduced patient satisfaction. Our aim was to identify and quantify variables which affect ED-LOS. Patients admitted to the pediatric ED of a large regional Swiss hospital during a 1-year period were analyzed for LOS (in minutes). Predictor variables included patient-associated parameters (time of admission and discharge, ED occupancy, triage score, diagnosis, and demographic data) and external factors (weekday, time, and season). A total of 4885 visits were included in a multivariable logistic regression analysis. Median LOS was 124 min. The most important factors associated with prolonged LOS were physician referral (adjusted odds ratio [OR], 1.97; 95% confidence interval [CI], 1.47-2.62); morning admissions, especially before noon (OR, 1.92; 95% CI, 1.23-3.07); and gastrointestinal infections (OR, 1.38; 95% CI, 1.08-1.76). Upper airway infections (OR, 0.37; 95% CI, 0.27-0.49) and triage level 5 (OR, 0.18; 95% CI, 0.06-0.61) were inversely associated with ED-LOS. Together with ED occupancy, these factors did significantly contribute to log LOS in a stepwise backward multiple regression model (p < 0.001).

CONCLUSION

Several parameters are associated with prolonged ED-LOS. Notably, morning arrivals represent possible targets for strategies to reduce LOS. What is Known: • Prolonged length of stay (LOS) may affect care delivered to admitted patients in the emergency department (ED) and is well studied in the setting of adult patients with high acuity conditions. • Little is known about parameters which impact LOS in European pediatric EDs. What is New: • Several predictors of prolonged LOS could be identified in a European pediatric setting. • Our results indicate that prolonged LOS is associated with modifiable factors like morning and summer admission, which have the potential to be addressed by modification in staffing, infrastructure, and higher attention to faster processing.

Marginal analysis in assessing factors contributing time to physician in the Emergency Department using operations data

Background: Standard Emergency Department (ED) operations goals include minimization of the time interval (tMD) between patients' initial ED presentation and initial physician evaluation. This study assessed factors known (or suspected) to influence tMD with a two-step goal. The first step was generation of a multivariate model identifying parameters associated with prolongation of tMD at a single study center. The second step was the use of a study center-specific multivariate tMD model as a basis for predictive marginal probability analysis; the marginal model allowed for prediction of the degree of ED operations benefit that would be affected with specific ED operations improvements. Methods: The study was conducted using one month (May 2015) of data obtained from an ED administrative database (EDAD) in an urban academic tertiary ED with an annual census of approximately 500,000; during the study month, the ED saw 39,593 cases. The EDAD data were used to generate a multivariate linear regression model assessing the various demographic and operational covariates' effects on the dependent variable tMD. Predictive marginal probability analysis was used to calculate the relative contributions of key covariates as well as demonstrate the likely tMD impact on modifying those covariates with operational improvements. Analyses were conducted with Stata 14MP, with significance defined at p < 0.05 and confidence intervals (CIs) reported at the 95% level. Results: In an acceptable linear regression model that accounted for just over half of the overall variance in tMD (adjusted r² 0.51), important contributors to tMD included shift census (p = 0.008), shift time of day (p = 0.002), and physician coverage n (p = 0.004). These strong associations remained even after adjusting for each other and other covariates. Marginal predictive probability analysis was used to predict the overall tMD impact (improvement from 50 to 43 minutes, p < 0.001) of consistent staffing with 22 physicians. Conclusions: The analysis identified expected variables contributing to tMD with regression demonstrating significance and effect magnitude of alterations in covariates including patient census, shift time of day, and number of physicians. Marginal analysis provided operationally useful demonstration of the need to adjust physician coverage numbers, prompting changes at the study ED. The methods used in this analysis may prove useful in other EDs wishing to analyze operations information with the goal of predicting which interventions may have the most benefit.

Impact of process improvements on measures of emergency department efficiency

OBJECTIVE

To study the operational impact of process improvements on emergency department (ED) patient flow. The changes did not require any increase in resources or expenditures.

METHODS

This was a 36-month pre- and post-intervention study to evaluate the effect of implementing process improvements at a community ED from January 2010 to December 2012. The intervention comprised streamlining triage by having patients accepted into internal waiting areas immediately after triage. Within the ED, parallel processes unfolded, and there was no restriction on when registration occurred or which health care provider a patient saw first. Flexible nursing ratios allowed nursing staff to redeploy and move to areas of highest demand. Last, demand-based physician scheduling was implemented. The main outcome was length of stay (LOS). Secondary outcomes included time to physician initial assessment (PIA), left-without-being-seen (LWBS) rates, and left-against-medical-advice (LAMA) rates. Segmented regression of interrupted time series analysis was performed to quantify the impact of the intervention, and whether it was sustained.

RESULTS

Patients totalling 251,899 attended the ED during the study period. Daily patient volumes increased 17.3% during the post-intervention period. Post-intervention, mean LOS decreased by 0.64 hours (p<0.005). LOS for non-admitted Canadian Triage and Acuity Scale 2 (-0.58 hours, p<0.005), 3 (-0.75 hours, p<0.005), and 4 (-0.32 hours, p<0.005) patients also decreased. There were reductions in PIA (43.81 minutes, p<0.005), LWBS (35.2%, p<0.005), and LAMA (61.9%, p<0.005).

CONCLUSION

A combination of process improvements in the ED was associated with clinically significant reductions in LOS, PIA, LWBS, and LAMA for non-resuscitative patients.

A comparative study of patient characteristics, opinions, and outcomes, for patients who leave the emergency department before medical assessment

OBJECTIVE

The emergency department (ED) left-without-being-seen (LWBS) rate is a performance indicator, although there is limited knowledge about why people leave, or whether they seek alternate care. We studied characteristics of ED LWBS patients to determine factors associated with LWBS.

METHODS

We collected demographic data on LWBS patients at two urban hospitals. Sequential LWBS patients were contacted and surveyed using a standardized telephone survey. A matched group of patients who did not leave were also surveyed. Data were analysed using the Fisher exact test, chi-square test, and student t-test.

RESULTS

The LWBS group (n=1508) and control group (n=1504) were matched for sex, triage category, recorded wait times, employment and education, and having a family physician. LWBS patients were younger, more likely to present in the evening or at night, and lived closer to the hospital. A long wait time was the most cited reason for leaving (79%); concern about medical condition was the most common reason for staying (96%). Top responses for improved likelihood of waiting were shorter wait times (LWBS, 66%; control, 31%) and more information on wait times (41%; 23%). A majority in both groups felt that their condition was a true emergency (63%; 72%). LWBS patients were more likely to seek further health care (63% v. 28%; p<0.001) and sooner (median time 1 day v. 2-4 days; p=0.002). Among patients who felt that their condition was not a true emergency, the top reason for ED attendance was the inability to see their family doctor (62% in both groups).

CONCLUSION

LWBS patients had similar opinions, experiences, and expectations as control patients. The main reason for LWBS was waiting longer than expected. LWBS patients were more likely to seek further health care, and did so sooner. Patients wait because of concern about their health problem. Shorter wait times and improved communication may reduce the LWBS rate.

Impact of Mandatory HIV Screening in the Emergency Department: A Queuing Study

To improve HIV screening rates, New York State in 2010 mandated that all persons 13-64 years receiving health care services, including care in emergency departments (EDs), be offered HIV testing. Little attention has been paid to the effect of screening on patient flow. Time-stamped ED visit data from patients eligible for HIV screening, 7,844 of whom were seen by providers and 767 who left before being seen by providers, were retrieved from electronic health records in one adult ED. During day shifts, 10% of patients left without being seen, and during evening shifts, 5% left without being seen. All patients seen by providers were offered testing, and 6% were tested for HIV. Queuing models were developed to evaluate the effect of HIV screening on ED length of stay, patient waiting time, and rate of leaving without being seen. Base case analysis was conducted using actual testing rates, and sensitivity analyses were conducted to evaluate the impact of increasing the testing rate. Length of ED stay of patients who received HIV tests was 24 minutes longer on day shifts and 104 minutes longer on evening shifts than for patients not tested for HIV. Increases in HIV testing rate were estimated to increase waiting time for all patients, including those who left without being seen. Our simulation suggested that incorporating HIV testing into ED patient visits not only adds to practitioner workload but also increases patient waiting time significantly during busy shifts, which may increase the rate of leaving without being seen.

Comparing patients who leave the ED prematurely, before vs after medical evaluation: a National Hospital Ambulatory Medical Care Survey analysis

BACKGROUND

Many patients leave the Emergency Department (ED) before beginning or completing medical evaluation. Some of these patients may be at higher medical risk depending on their timing of leaving the ED.

OBJECTIVES

To compare patient, hospital, and visit characteristics of patients who leave before completing medical care to patients who leave before ED evaluation.

METHODS

Retrospective cross-sectional analysis of ED visits using the 2009-2011 National Hospital Ambulatory Medical Care Survey.

RESULTS

A total of 100962 ED visits were documented in the 2009-2011 National Hospital Ambulatory Medical Care Survey, representing a weighted count of 402211907 total ED visits. 2646 (2.62%) resulted in a disposition of left without completing medical care. Of these visits, 1792 (67.7%) left before being seen by a medical provider versus 854 (32.3%) who left after medical provider evaluation but before a final disposition. Patients who left after being assessed by a medical provider were older, had higher acuity visits, were more likely to have visited an ED without nursing triage, arrived more often by ambulance, and were more likely to have private insurance than to be self-paying or to have other payment arrangements (e.g. worker's compensation or charity/no charge).

CONCLUSIONS

When comparing all patients who left the ED before completion of care, those who left after versus before medical provider evaluation differed in their patient, hospital, and visit characteristics and may represent a high risk patient group.

[Not Available]

Objectif

L’objectif de cette étude rétrospective était d’identifier les facteurs associés aux décomptes quotidiens de départs avant prise en charge médicale (DAPCM) dans les deux salles d’urgence du Centre hospitalier universitaire de Sherbrooke, Fleurimont (HF) et Hôtel-Dieu (HD).

Méthode

Des données cliniques et démographiques anonymisées, ainsi que des données hospitalières, ont été extraites de la banque de données du Centre Informatisé de Recherche Évaluative en Services et Soins de Santé pour la période du 1er avril 2011 au 30 juin 2012. Les variables étant corrélées au nombre de DAPCM par jour par site lors des analyses univariées ont été retenues pour l’analyse de régression linéaire multivariée.

Résultats

Les analyses de régression multivariées démontrent que le nombre de DAPCM par jour diminue pour les deux sites lorsque la durée moyenne de séjour des patients non hospitalisés à l’urgence diminue (HF:b=1,17, p<0,001; HD:b=1,41, p<0,001) et lorsqu’un médecin dédié aux patients ambulatoires est présent (HF:b=-4,35, p<0,001; HD:b=-5,48, p<0,001). De plus, des facteurs reliés à l’achalandage des salles d’urgence et la raison primaire de consultation ont également eu un effet sur le nombre de DAPCM par jour.

Conclusion

Des efforts devraient être faits afin de diminuer la durée moyenne de séjour des patients non hospitalisés à l’urgence et d’assurer la présence d’un médecin dédié aux patients ambulatoires pour diminuer le nombre de DAPCM.

Identifying Patient Door-to-Room Goals to Minimize Left-Without-Being-Seen Rates

Introduction

Emergency department (ED) patients in the leave-without-being-seen (LWBS) group risk problems of inefficiency, medical risk, and financial loss. The goal at our hospital is to limit LWBS to <1%. This study’s goal was to assess the influence on LWBS associated with prolonging intervals between patient presentation and placement in an exam room (DoorRoom time). This study’s major aim was to identify DoorRoom cutoffs that maximize likelihood of meeting the LWBS goal (i.e. <1%).

Methods

We conducted the study over one year (8/13–8/14) using operations data for an ED with annual census ~50,000. For each study day, the LWBS endpoint (i.e. was LWBS <1%: “yes or no”) and the mean DoorRoom time were recorded. We categorized DoorRoom means by intervals starting with ≤10min and ending at >60min. Multivariate logistic regression was used to assess for DoorRoom cutoffs predicting high LWBS, while adjusting for patient acuity (triage scores and admission %) and operations parameters. We used predictive marginal probability to assess utility of the regression-generated cutoffs. We defined statistical significance at p<0.05 and report odds ratio (OR) and 95% confidence intervals (CI).

Results

Univariate results suggested a primary DoorRoom cutoff of 20′, to maintain a high likelihood (>85%) of meeting the LWBS goal. A secondary DoorRoom cutoff was indicated at 35′, to prevent a precipitous drop-off in likelihood of meeting the LWBS goal, from 61.1% at 35′ to 34.4% at 40′. Predictive marginal analysis using multivariate techniques to control for operational and patient-acuity factors confirmed the 20′ and 35′ cutoffs as significant (p<0.001). Days with DoorRoom between 21–35′ were 74% less likely to meet the LWBS goal than days with DoorRoom ≤20′ (OR 0.26, 95% CI [0.13–0.53]). Days with DoorRoom >35′ were a further 75% less likely to meet the LWBS goal than days with DoorRoom of 21–35′ (OR 0.25, 95% CI [0.15–0.41]).

Conclusion

Operationally useful DoorRoom cutoffs can be identified, which allow for rational establishment of performance goals for the ED attempting to minimize LWBS.

Emergency Department Crowding in Relation to In-hospital Adverse Medical Events: A Large Prospective Observational Cohort Study

BACKGROUND

Emergency department (ED) crowding has been linked with adverse medical events. However, this association was inadequately controlled for potential confounding variables.

OBJECTIVES

To investigate whether ED crowding is independently associated with risk of in-hospital death and morbidity, and longer total hospital stay.

METHODS

Prospective observational cohort study of all patients (≥ 18 years) presenting to the ED of an academic teaching hospital in Leuven, Belgium from June 21, 2010 to July 20, 2012. Multivariate logistic regression and proportional hazard analysis was used to control for risk factors. ED occupancy was determined for 108,229 included patients and labeled "ED crowding" when occupancy was within the highest quartile of occupancy. Outcomes within 10 days of ED admission included in-hospital death, hospital-acquired morbidities, and total hospital stay.

RESULTS

During ED crowding, a median of 58 (interquartile range 55-63) patients were present for 40 licensed treatment bays. After controlling for all baseline risk factors and as compared with the lowest quartile of ED occupancy (30 [26-32] patients), ED crowding was not independently associated with mortality (odds ratio [OR] 0.94, 95% confidence interval [CI] 0.74-1.19; p = 0.6), but tended to be associated with higher incidence of hospital-acquired pneumonia (OR 1.24, 95% CI 0.96-1.62; p = 0.09).

CONCLUSIONS

Failing to control for baseline risk factors may have led to false-positive associations between ED crowding and mortality in previous studies. After controlling for risk factors, we showed that ED crowding was associated with longer hospital stays but not with increased mortality.

Impact of Family Medicine Resident Physicians on Emergency Department Wait Times and Patients Leaving Without Being Seen

OBJECTIVE

To quantify the effect of family medicine resident physicians on emergency department (ED) wait times and patients leaving without being seen or treated.

METHODS

In a medium-volume community ED over twelve months, we used retrospective chart review to compare wait times between patients seen during shifts where staff were working alone versus with a resident. We measured the time from initial triage time to physician initial assessment (T1) and disposition time (LOS), and number of patients leaving without being seen or treated.

RESULTS

In our analysis, 21,141 patients (91% of total visits) were included; 48% were in the staff-with-resident group, and 52% were in the staff-only group. Mean T1 in the resident group was significantly shorter than the staff-only group (1 hour 23 minutes versus 1 hour 38 minutes, difference 15 minutes, 95% CI 13 to 17 minutes, p<0.001). Mean total LOS in the resident group was also reduced (2 hours 38 minutes versus 2 hours 50 minutes, difference 12 minutes, 95% CI 8 to 17 minutes, p<0.001). Fewer patients left without being seen in the resident group than the staff only group (2.8% versus 4.9%, p<0.001). There were no differences in patients leaving without being treated (0.5% versus 0.5%).

CONCLUSIONS

This is the first study to demonstrate that residents are associated with a reduction in ED wait times and patients leaving without being seen in a low-acuity, community hospital, compared to previous studies demonstrating no difference or increased wait times.

'Did not waits': a regional Australian emergency department experience

OBJECTIVE

Describe the characteristics, reasons for leaving and outcomes of patients who did not wait (DNW) to be seen by a health practitioner in a regional Australian ED.

METHODS

Prospective observational study of a convenience sample of ED DNW patients presenting to The Townsville Hospital between June 2011 and July 2012. Seven days from each month were selected, and DNW patients presenting on those days were enrolled. An investigator attempted to contact every DNW patient by telephone in the following week to elicit reasons for leaving, subsequent health contacts, outcomes and suggestions for system improvements. Additional outcome information was obtained from hospital electronic medical records.

RESULTS

Nearly 15 000 patients presented on the study days, with 648 (4.3%) DNWs: 415 (64.0%) adults, 193 (29.8%) children (1-16 years old) and 40 (6.2%) infants. Thirty-eight (5.9%) patients who DNW were Australasian Triage Scale (ATS) category 3, 546 (84.3%) were ATS category 4 and 64 (9.9%) were ATS category 5. Most DNW patients presented on Sundays and between 1600 and 2359. Just over half of the patients who DNW (52.9%) sought additional medical treatment, with 4.9% requiring subsequent hospital admission. Three psychiatric patients who DNW required urgent mental health interventions organised by the investigators. Frustration with perceived waiting times was the most common reason for leaving without being seen.

CONCLUSIONS

Regional Australia ED patients who DNW often still require medical care, with approximately 1 in 20 requiring subsequent hospital admission. Patients with psychiatric conditions who DNW might be at particular risk.

Mathematical Modeling of the Impact of Hospital Occupancy: When Do Dwindling Hospital Beds Cause ED Gridlock?

Objectives. The time emergency department (ED) patients spend from presentation to admittance is known as their length of stay (LOS). This study aimed to quantify the inpatient occupancy rate (InptOcc)/ED LOS relationship and develop a methodology for identifying resource-allocation triggers using InptOcc-LOS association-curve inflection points. Methods. This study was conducted over 200 consecutive days at a 700-bed hospital with an annual ED census of approximately 50,000 using multivariate spline (piecewise) regression to model the InptOcc/LOS relationship while adjusting for confounding covariates. Nonlinear modeling was used to assess for InptOcc/LOS associations and determine the inflection point where InptOcc profoundly impacted LOS. Results. At lower InptOcc, there was no association. Once InptOcc reached ≥88%, there was a strong InptOcc/LOS association; each 1% InptOcc increase predicted a 16-minute (95% CI, 12–20 minutes) LOS prolongation, while the confounder-adjusted analysis showed each 1% InptOcc increase >89% precipitating a 13-minute (95% CI, 10–16 minutes) LOS prolongation. Conclusions. The study hospital’s InptOcc was a significant predictor of prolonged ED LOS beyond the identified inflection point. Spline regression analysis identified a clear inflection point in the InptOcc-LOS curve that potentially identified a point at which to optimize inpatient bed availability to prevent increased costs of prolonged LOS.

Missed opportunities: evolution of patients leaving without being seen or against medical advice during a six-year period in a Swiss tertiary hospital emergency department

Aim. The study aimed at describing the evolution over a 6-year period of patients leaving the emergency department (ED) before being seen (“left without being seen” or LWBS) or against medical advice (“left against medical advice” or LAMA) and at describing their characteristics. Methods. A retrospective database analysis of all adult patients who are admitted to the ED, between 2005 and 2010, and who left before being evaluated or against medical advice, in a tertiary university hospital. Results. During the study period, among the 307,716 patients who were registered in the ED, 1,157 LWBS (0.4%) and 1,853 LAMA (0.9%) patients were identified. These proportions remained stable over the period. The patients had an average age of 38.5 ± 15.9 years for LWBS and 41.9 ± 17.4 years for LAMA. The median time spent in the ED before leaving was 102.4 minutes for the LWBS patients and 226 minutes for LAMA patients. The most frequent reason for LAMA was related to the excessive length of stay. Conclusion. The rates of LWBS and LAMA patients were low and remained stable. The patients shared similar characteristics and reasons for leaving were largely related to the length of stay or waiting time.

Patients' strategies to deal with their situation at an emergency department

INTRODUCTION

The care in the emergency department (ED) is often characterised by high standards of efficiency and rapid treatment and the encounter between patient and staff can be described as both short and fragmented. Research within this field has mostly been performed with quantitative measurements and patients are both satisfied and vulnerable in their care at an ED. There is a lack of qualitative studies about patient's strategies to deal with their situation.

AIM

The aim was to describe patient's strategies for dealing with their situation at an ED.

METHODS

Secondary analysis has been made of 13 qualitative interviews grounded in a lifeworld perspective. The interviews were analysed by qualitative content analysis.

RESULTS

The results showed that patients' strategies to deal with the situation at the ED are passive or active. The passive strategy is being patient and the active strategies varied in terms of having hidden tactics, using visible tactics and using families as support.

CONCLUSION

These findings increase the importance of gaining knowledge about these strategies so that the staff at the ED can support the patients so they do not have to use them.

Characteristics of patients who leave the emergency department without being seen: the first report in China

OBJECTIVE

The incidence of patients who leave without being seen (LWBS) by a doctor in the ED in China has not been reported. The purpose of this study is to identify the prevalence and characteristics of the LWBS patient population as well as predictors of LWBS in the ED of a tertiary hospital of China.

METHODS

We conducted a retrospective cohort study of all ED patients from November 2011 to October 2012 in our hospital. Patient age, sex, nationality, time of day, day of week and month of patient presentation, mode of arrival, and triage category were examined as potential predictors of LWBS. Multivariate logistic regression was performed to identify independent predictors of LWBS patients.

RESULTS

The prevalence of LWBS patients was 10.7%. LWBS patients were nearly equally divided between men and women (52.8% men, 47.2% women). The average age of LWBS patients was significantly younger than non-LWBS patients (P < 0.001). The majority of LWBS patients (82.2%) arrived on foot, and very few LWBS patients (0.3%) were non-Chinese. The majority of LWBS patients (94.6%) were assigned to Emergency Severity Index level 3 or 4. Independent predictors of LWBS included paediatric age, lower triage acuity, arrival on foot, time of the day, day of the week and month of presentation.

CONCLUSIONS

Independent LWBS predictors include paediatric patients arriving on foot in the evening with lower acuity problems. Potential risk management strategies should be implemented to decrease or eliminate the LWBS population by improving communication and providing increased comfort measures.

Emergency department crowding in The Netherlands: managers' experiences

Background

In The Netherlands, the state of emergency department (ED) crowding is unknown. Anecdotal evidence suggests that current ED patients experience a longer length of stay (LOS) compared to some years ago, which is indicative of ED crowding. However, no multicenter studies have been performed to quantify LOS and assess crowding at Dutch EDs. We performed this study to describe the current state of emergency departments in The Netherlands regarding patients’ length of stay and ED nurse managers’ experiences of crowding.

Methods

A survey was sent to all 94 ED nurse managers in The Netherlands with questions regarding the type of facility, annual ED census, and patients’ LOS. Additional questions included whether crowding was ever a problem at the particular ED, how often it occurred, which time periods had the worst episodes of crowding, and what measures the particular ED had undertaken to improve patient flow.

Results

Surveys were collected from 63 EDs (67%). Mean annual ED visits were 24,936 (SD ± 9,840); mean LOS for discharged patients was 119 (SD ± 40) min and mean LOS for admitted patients 146 (SD ± 49) min. Consultation delays, laboratory and radiology delays, and hospital bed shortages for patients needing admission were the most cited reasons for crowding. Admitted patients had a longer LOS because of delays in obtaining inpatient beds. Thirty-nine of 57 respondents (68%) reported that crowding occurred several times a week or even daily, mostly between 12:00 and 20:00. Measures taken by hospitals to manage crowding included placing patients in hallways and using fasttrack with treatment of patients by trained nurse practitioners.

Conclusions

Despite a relatively short LOS, frequent crowding appears to be a nationwide problem according to Dutch ED nurse managers, with 68% of them reporting that crowding occurred several times a week or even daily. Consultations delays, laboratory and radiology delays, and hospital bed shortage for patients needing admission were believed to be the most important factors contributing to ED crowding.

Transient and sustained changes in operational performance, patient evaluation, and medication administration during electronic health record implementation in the emergency department

STUDY OBJECTIVE

Little is known about the transient and sustained operational effects of electronic health records on emergency department (ED) performance. We quantify how the implementation of a comprehensive electronic health record was associated with metrics of operational performance, test ordering, and medication administration at a single-center ED.

METHODS

We performed a longitudinal analysis of electronic data from a single, suburban, academic ED during 28 weeks between May 2011 and November 2011. We assessed length of stay, use of diagnostic testing, medication administration, radiologic imaging, and patient satisfaction during a 4-week baseline measurement period and then tracked changes in these variables during the 24 weeks after implementation of the electronic health record.

RESULTS

Median length of stay increased and patient satisfaction was reduced transiently, returning to baseline after 4 to 8 weeks. Rates of laboratory testing, medication administration, overall radiologic imaging, radiographs, computed tomography scans, and ECG ordering all showed sustained increases throughout the 24 weeks after electronic health record implementation.

CONCLUSION

Electronic health record implementation in this single-center study was associated with both transient and sustained changes in metrics of ED performance, as well as laboratory and medication ordering. Understanding ways in which an ED can be affected by electronic health record implementation is critical to providing insight about ways to mitigate transient disruption and to maximize potential benefits of the technology.

An emergency department patient flow model based on queueing theory principles

OBJECTIVES

The objective was to derive and validate a novel queuing theory-based model that predicts the effect of various patient crowding scenarios on patient left without being seen (LWBS) rates.

METHODS

Retrospective data were collected from all patient presentations to triage at an urban, academic, adult-only emergency department (ED) with 87,705 visits in calendar year 2008. Data from specific time windows during the day were divided into derivation and validation sets based on odd or even days. Patient records with incomplete time data were excluded. With an established call center queueing model, input variables were modified to adapt this model to the ED setting, while satisfying the underlying assumptions of queueing theory. The primary aim was the derivation and validation of an ED flow model. Chi-square and Student's t-tests were used for model derivation and validation. The secondary aim was estimating the effect of varying ED patient arrival and boarding scenarios on LWBS rates using this model.

RESULTS

The assumption of stationarity of the model was validated for three time periods (peak arrival rate = 10:00 a.m. to 12:00 p.m.; a moderate arrival rate = 8:00 a.m. to 10:00 a.m.; and lowest arrival rate = 4:00 a.m. to 6:00 a.m.) and for different days of the week and month. Between 10:00 a.m. and 12:00 p.m., defined as the primary study period representing peak arrivals, 3.9% (n = 4,038) of patients LWBS. Using the derived model, the predicted LWBS rate was 4%. LWBS rates increased as the rate of ED patient arrivals, treatment times, and ED boarding times increased. A 10% increase in hourly ED patient arrivals from the observed average arrival rate increased the predicted LWBS rate to 10.8%; a 10% decrease in hourly ED patient arrivals from the observed average arrival rate predicted a 1.6% LWBS rate. A 30-minute decrease in treatment time from the observed average treatment time predicted a 1.4% LWBS. A 1% increase in patient arrivals has the same effect on LWBS rates as a 1% increase in treatment time. Reducing boarding times by 10% is expected to reduce LWBS rates by approximately 0.8%.

CONCLUSIONS

This novel queuing theory-based model predicts the effect of patient arrivals, treatment time, and ED boarding on the rate of patients who LWBS at one institution. More studies are needed to validate this model across other institutions.

Who leaves the emergency department without being seen? A public hospital experience in Georgetown, Guyana

Background

Left without being seen (LWBS) proportions are commonly used as quality control indicators, but little data is available on LWBS proportions in the developing world. This study sought to determine the proportion and characteristics of patients who LWBS from the emergency department (ED) of the main public hospital in Georgetown, Guyana.

Methods

This is a retrospective cross-sectional analysis of an ED quality assurance database. Registration personnel collected demographic information on patients presenting to the ED over a 2-week period in July 2010. Both univariate and multivariate analysis were conducted to determine patient characteristics associated with LWBS.

Results

The LWBS proportion was 5.7%. In univariate analysis, patients 18 or older (OR 1.48, 95%CI 1.03-2.12), presenting during the 4PM-12AM shift (OR 2.15, 95%CI 1.53-3.01), with non-urgent triage classification (OR 1.88, 95%CI 1.76-4.66), with non-traumatic chief complaints (OR 1.70, 95%CI 1.14-2.55), or who were not transferred (OR 2.13, 95%CI 1.00-4.55) had significantly higher odds of LWBS. On multivariate analysis, only patients 18 or older (OR 1.54, 95%CI 1.02-2.33), presenting during the 4PM-12AM shift (OR 2.29, 95%CI 1.54-3.40), and with non-traumatic chief complaints (OR 2.39, 95%CI 1.43-4.02) were found to be significantly associated with LWBS. Sex, residence in the capital city, time to triage, transfer status, use of EMS, and triage classification were not statistically associated with LWBS.

Conclusions

LWBS proportions are used as quality control indicators and this study determined the LWBS proportion at a public hospital in a developing country and some of the patient characteristics associated with LWBS. This can be helpful to develop strategies to decrease LWBS proportions and to assess progress over time.

Missing the boat: odds for the patients who leave ED without being seen

BACKGROUND

A patient left without being seen is a well-recognized indicator of Emergency Department overcrowding. The aim of this study was to define the characteristics of LWBS patients, their rates and associated factors from a tertiary care hospital of Pakistan.

METHODS

A retrospective patient record review was undertaken. All patients presenting to the Aga Khan University Hospital, Karachi, between April and December of the year 2010, were included in the study. Information was collected on age, sex, presenting complaints, ED capacity, month, time, shift, day of the week, and waiting times in the ED. A basic descriptive analysis was made and the rates of LWBS patients were determined among the patient subgroups. Logistic regression analysis was used to assess the risk factors associated with a patient not being seen in the ED.

RESULTS

A total of 38,762 patients visited ED during the study period. Among them 5,086 (13%) patients left without being seen. Percentage of leaving was highest in the night shift (20%). The percentage was twice as high when the ED was on diversion (19.8%) compared to regular periods of operation (9.8%). Mean waiting time before leaving the ED in pediatric patients was 154 minutes while for adults it was 171 minutes. More than 32% of patients had waited for more than 180 minutes before they left without being seen, compared to the patients who were seen in ED. Important predictors for LWBS included; Triage category P4 i.e. walk -in-patients had an OR of 13.62(8.72-21.3), Diversion status, OR 1.49(1.26-1.76), night shift , OR 2.44(1.95-3.05) and Pediatric age, OR 0.57(0.48-0.66).

CONCLUSIONS

Our study elucidates the LWBS population characteristics and identifies the risk factors for this phenomenon. Targeted interventions should be planned and implemented to decrease the waiting time and alternate services should be provided for high-risk patients (for LWBS) to minimize their number.

The complex association of race and leaving the pediatric emergency department without being seen by a physician

OBJECTIVES

This study examined the influence of race and language on leaving the emergency department (ED) without complete evaluation and treatment (LWCET).

METHODS

This retrospective, case-cohort study examined LWCET among patients discharged home from 2 EDs between March 2, 2009, and March 31, 2010. Race and language were obtained by family self-report. We also explored wait time to see a physician as an explanation of racial disparities.

RESULTS

One thousand two hundred eighty-five (1.7%) of 76,931 ED encounters ended in LWCET. Factors increasing LWCET were high ED activity, low acuity, and medical assistance (MA) insurance. American Indian, biracial, African American, and Hispanic races were also associated with higher odds of LWCET among visits by MA insurance patients compared with those of white patients on private insurance. Restricting the analysis to visits by MA insurance patients, only American Indian race was associated with LWCET compared with white race. Visits by patients using an interpreter or speaking a language other than English at home had lower odds of ending in LWCET. Sensitivity analyses in subgroups confirmed these findings. We developed a measure of ED activity that correlated well with wait time to see a physician (correlation coefficient = 0.993; P < 0.001). Among non-LWCET visits, wait time to see a practitioner did not correlate with racial disparities in LWCET.

CONCLUSIONS

Race, language, and insurance status interact to form a complex relationship with LWCET. Medical assistance insurance status appears to account for much of the excessive instances of LWCET seen in nonwhites. After restricting the analysis to MA insurance patients, only visits by American Indian patients had higher odds of LWCET compared with whites on MA insurance. Wait time to see a physician did not explain racial differences in LWCET.

National Coroners Information System: a valuable source of lessons for emergency medicine

OBJECTIVE

To interrogate the National Coroners Information System (NCIS) to determine the recurrent themes among coroners' recommendations that aimed to increase the safety of ED care.

METHODS

This was a retrospective analysis of NCIS closed cases, from Queensland, New South Wales, Tasmania, Victoria, Australian Capital Territory, South Australia and North Territory, entered since its inception in 2000. The keyword 'emergency department' returned 1645 cases, of which 180 were found to be relevant. The primary outcomes were the number and nature of cases where recommendations for improvements in ED care had been made and the recurrent themes of these recommendations that could inform education initiatives.

RESULTS

Of the 180 cases, 108 (60.0%) were of deceased men and subject age ranged from 2 days to 91 years. The commonest causes of death were trauma (26.7%), infection (24.4%), cardiac events (15.0%) and poisoning (8.9%). No coronial recommendations were required in 19 cases. For the remainder, recommendation themes related to issues of risk management/medico-legal, diagnostic/therapeutic error, education, documentation/communication and re-presentation. The themes associated with the different doctor designations (consultant, registrar, resident/intern) were similar, although registrars and residents/interns tended towards more diagnostic/therapeutic errors. The themes associated with hospital type (referral, urban, regional/rural) were also similar. Although theme analysis is important, some individual cases were particularly instructive.

CONCLUSION

The NCIS data theme analysis identifies important high-risk patients and presenting complaints. These should be incorporated into emergency physician training. EDs should review the coronial recommendations to ensure that, where possible, they have been adopted.

Patients who leave without being seen in emergency departments: an analysis of predictive factors and outcomes

OBJECTIVES

The objective was to identify predictive factors and outcomes associated with patients who leave emergency departments (EDs) without being seen in Victoria, Australia.

METHODS

This was a retrospective observational study of Victorian ED patient visits between July 1, 2000, and June 30, 2005, using linked hospital, ED, and death registration data. Index ED visits were identified for patients who left without being seen (LWBS) and for those who completed ED treatment and were discharged home. Statistical analyses included a general description and univariate analysis of patient, ED visit, temporal, and hospital-level factors. Logistic regression models were developed to assess risk factors associated with LWBS status compared to patients who completed treatment, to assess 48 hour re-presentations to ED; 48-hour hospital admissions; and 2-,7-, and 30-day mortality among those who LWBS compared to those who completed treatment. Adjusted odds ratios (ORs) and 99% confidence intervals (CIs) are presented.

RESULTS

There were 239,305 LWBS episodes, for 205,500 patients over the 5-year period. Independent factors associated with LWBS patients in comparison to those who completed treatment include patients who are younger (15 to 24 years, OR = 2.46, 99% CI = 2.37 to 2.56), male (OR = 1.07, 99% CI = 1.05 to 1.08), of Australian indigenous background (OR = 1.63, 99% CI = 1.53 to 1.73), of non-English-speaking background (OR = 1.08, 99% CI = 1.06 to 1.10), noncompensable status (OR = 1.73, 99% CI = 1.68 to 1.79), self-referring (OR = 1.46, 99% CI = 1.43 to 1.49), nonassisted arrival mode (OR = 1.35, 99% CI = 1.30 to 1.40), and those with a hospital admission in the 12 months before the ED presentation (OR = 1.53, 99% CI = 1.51 to 1.55). Patients who LWBS had triage categories of lower urgency (nonurgent, OR = 8.21, 99% CI = 8.00 to 8.43), attended during the evening (OR = 1.10, 99% CI = 1.08 to 1.12), on either Sunday (OR = 1.20, 99% CI = 1.18 to 1.23) or Monday (OR = 1.20, 99% CI = 1.17 to 1.23), in winter (OR = 1.14, 99% CI = 1.12 to 1.16), with higher rates occurring in higher volume EDs (OR = 2.20, 99% CI = 2.15 to 2.26). There was no greater risk of mortality for LWBS patients compared to patients who completed treatment. The risk of hospital admission within 48 hours of discharge was lower for LWBS patients (OR = 0.60, 99% CI = 0.58 to 0.62); however, ED re-presentation risk was higher (OR = 1.63, 99% CI = 1.60 to 1.67).

CONCLUSIONS

Patients who leave EDs in Victoria, Australia, without being seen are at lower risk of hospital admission and at no greater risk of mortality, but are at higher risk of re-presenting to an ED compared to patients who complete treatment and are discharged home.

Leaving the paediatric emergency department without being seen: understanding the patient and the risks

AIM

The aim of this study is to examine the left-without-being-seen (LWBS) patient population of a tertiary paediatric emergency department (ED) to provide quality assurance and risk management data.

METHODS

This is a prospective observational study of patients who LWBS after presenting to the Royal Children's Hospital Melbourne ED between July and November 2005. Information was collected from electronic databases and follow-up telephone interviews performed by the principal investigator 3-5 days after the presentation.

RESULTS

Over the 17-week study period, 7.6% of attendances were recorded as having LWBS. These patients and their presentations resembled the general ED population in many respects. However, there were several significant differences, particularly in relation to age, insurance status, mode of arrival, referral status, arrival time and illness severity. Most families (74%) indicated they would have been equally happy to visit a general practitioner instead had one been available. Prolonged waiting times and recognition that their child's illness was not severe were the most frequent reasons for leaving. Most parents subsequently accessed alternate health care or were planning to do so, and the majority stated their child's illness was improving. Parents maintained a surprisingly positive attitude to their ED presentation.

CONCLUSION

The individual risks associated with leaving the ED before a child has been medically assessed are small. However, when multiplied several thousandfold as a function of the frequency of LWBS patients, the chance of serious adverse events becomes real. Potential risk management strategies include decreasing absolute LWBS numbers by addressing ED overcrowding and providing alternate sources for non-urgent care.

Review of modeling approaches for emergency department patient flow and crowding research

Emergency department (ED) crowding is an international phenomenon that continues to challenge operational efficiency. Many statistical modeling approaches have been offered to describe, and at times predict, ED patient load and crowding. A number of formula-based equations, regression models, time-series analyses, queuing theory-based models, and discrete-event (or process) simulation (DES) models have been proposed. In this review, we compare and contrast these modeling methodologies, describe the fundamental assumptions each makes, and outline the potential applications and limitations for each with regard to usability in ED operations and in ED operations and crowding research.

A randomized controlled trial of the effect of service delivery information on patient satisfaction in an emergency department fast track

OBJECTIVES

The objective was to determine the effect on patient satisfaction of providing patients with predicted service completion times.

METHODS

A randomized controlled trial was conducted in an urban, community teaching hospital. Emergency department (ED) patients triaged to fast track on weekdays between October 26, 2009, and December 30, 2009, from 9 am to 5 pm were eligible. Patients were randomized to: 1) usual care (n = 342), 2) provided ED process information (n = 336), or 3) provided ED process information plus predicted service delivery times (n = 333). Patients in group 3 were given an "average" and "upper range" estimate of their waiting room times and treatment times. The average and upper range predictions were calculated from quantile regression models that estimated the 50th and 90th percentiles of the waiting room time and treatment time distributions for fast track patients at the study site based on 2.5 years of historical data. Trained research assistants administered the interventions after triage. Patients completed a brief survey at discharge that measured their satisfaction with overall care, the quality of the information they received, and the timeliness of care. Satisfaction ratings of very good versus good, fair, poor, and very poor were modeled using logistic regression as a function of study group; actual service delivery times; and other patient, clinical, and temporal covariates. The study also modeled satisfaction ratings of fair, poor, and very poor compared to good and very good ratings as a function of the same covariates.

RESULTS

Survey completion rates and patient, clinical, and temporal characteristics were similar by study group. Median waiting room time was 70 minutes (interquartile range [IQR] = 40 to 114 minutes), and median treatment time was 52 minutes (IQR = 31 to 81 minutes). Neither intervention affected any of the satisfaction outcomes. Satisfaction was significantly associated with actual waiting room time, individual providers, and patient age. Every 10-minute increase in waiting room time corresponded with an 8% decrease (odds ratio [OR] = 0.92; 95% confidence interval [CI] = 0.89 to 0.95) in the odds of reporting very good satisfaction with overall care. The odds of reporting very good satisfaction with care were lower for several triage nurses and fast track nurses, compared to the triage nurse and fast track nurse who treated the most study patients. Each 10-minute increase in waiting room time was also associated with a 10% increase in the odds of reporting very poor, poor, or fair satisfaction with overall care (OR = 1.10; 95% CI = 1.06 to 1.14). The odds of reporting very poor, poor, or fair satisfaction with overall care also varied significantly among the triage nurses, fast track doctors, and fast track nurses. The odds of reporting very poor, poor, or fair satisfaction with overall care were significantly lower among patients aged 35 years and older compared to patients aged 18 to 34 years.

CONCLUSIONS

Satisfaction with overall care was influenced by waiting room time and the clinicians who treated them and not by service completion time estimates provided at triage.

Hospital determinants of emergency department left without being seen rates

STUDY OBJECTIVE

The proportion of patients who leave without being seen in the emergency department (ED) is an outcome-oriented measure of impaired access to emergency care and represents the failure of an emergency care delivery system to meet its goals of providing care to those most in need. Little is known about variation in the amount of left without being seen or about hospital-level determinants. Such knowledge is necessary to target hospital-level interventions to improve access to emergency care. We seek to determine whether hospital-level socioeconomic status case mix or hospital structural characteristics are predictive of ED left without being seen rates.

METHODS

We performed a cross-sectional study of all acute-care, nonfederal hospitals in California that operated an ED in 2007, using data from the California Office of Statewide Health Planning and Development database and the US census. Our outcome of interest was whether a visit to a given hospital ED resulted in left without being seen. The proportion of left without being seen was measured by the number of left without being seen cases out of the total number of visits.

RESULTS

We studied 9.2 million ED visits to 262 hospitals in California. The percentage of left without being seen varied greatly over hospitals, ranging from 0% to 20.3%, with a median percentage of 2.6%. In multivariable analyses adjusting for hospital-level socioeconomic status case mix, visitors to EDs with a higher proportion of low-income and poorly insured patients experienced a higher risk of left without being seen. We found that the odds of an ED visit resulting in left without being seen increased by a factor of 1.15 for each 10-percentage-point increase in poorly insured patients, and odds of left without being seen decreased by a factor of 0.86 for each $10,000 increase in household income. When hospital structural characteristics were added to the model, county ownership, trauma center designation, and teaching program affiliation were positively associated with increased probability of left without being seen (odds ratio 2.09; 1.62, and 2.14, respectively), and these factors attenuated the association with insurance status.

CONCLUSION

Visitors to different EDs experience a large variation in their probability of left without being seen, and visitors to hospitals serving a high proportion of low-income and poorly insured patients are at disproportionately higher risk of leaving without being seen. Our findings suggest that there is room for substantial improvement in this outcome, and regional interventions can be targeted toward certain at-risk hospitals to improve access to emergency care.