Measures of crowding in the emergency department: a systematic review

Characteristics favouring a delayed disposition decision in the emergency department

BACKGROUND

The working hours of a hospital affects efficiency of care within the emergency department (ED). Understanding the influences on ED time intervals is crucial for process redesign to improve ED patient flow.

AIM

To assess characteristics that affect patients' transit through an ED.

METHODS

Retrospective cohort study from 2004 to 2010 of 268 296 adult patients who presented to the ED of an urban tertiary-referral Australian teaching hospital.

RESULTS

After adjustment for Australasian Triage Scale (ATS) category, every decade increase in age meant patients spent an additional 2 min in the ED waiting to be seen (P < 0.001) and an extra 29-min receiving treatment (P < 0.001). For every additional 10 patients in the ED, the 'waiting time' (WT) phase duration increased by 20 min (P < 0.001) and the 'Assessment and Treatment Time' (ATT) phase duration increased by 26 min (P < 0.001). When patients arrived outside working hours, the WT phase duration increased by 20 min (P < 0.001). When seen outside working hours, the ATT phase duration increased by 34.5 min (P < 0.001).

CONCLUSION

Extrinsic to the patients themselves and in addition to ED overcrowding, the working hours of the hospital affected efficiency of care within the ED. Not only should the whole of the hospital be involved in improving efficient and safe transit of patients through an ED, but the whole of the day and every day of the week deserve attention.

Developments in Surge Research Priorities: A Systematic Review of the Literature Following the Academic Emergency Medicine Consensus Conference, 2007-2015

OBJECTIVES

In 2006, Academic Emergency Medicine (AEM) published a special issue summarizing the proceedings of the AEM consensus conference on the "Science of Surge." One major goal of the conference was to establish research priorities in the field of "disasters" surge. For this review, we wished to determine the progress toward the conference's identified research priorities: 1) defining criteria and methods for allocation of scarce resources, 2) identifying effective triage protocols, 3) determining decision-makers and means to evaluate response efficacy, 4) developing communication and information sharing strategies, and 5) identifying methods for evaluating workforce needs.

METHODS

Specific criteria were developed in conjunction with library search experts. PubMed, Embase, Web of Science, Scopus, and the Cochrane Library databases were queried for peer-reviewed articles from 2007 to 2015 addressing scientific advances related to the above five research priorities identified by AEM consensus conference. Abstracts and foreign language articles were excluded. Only articles with quantitative data on predefined outcomes were included; consensus panel recommendations on the above priorities were also included for the purposes of this review. Included study designs were randomized controlled trials, prospective, retrospective, qualitative (consensus panel), observational, cohort, case-control, or controlled before-and-after studies. Quality assessment was performed using a standardized tool for quantitative studies.

RESULTS

Of the 2,484 unique articles identified by the search strategy, 313 articles appeared to be related to disaster surge. Following detailed text review, 50 articles with quantitative data and 11 concept papers (consensus conference recommendations) addressed at least one AEM consensus conference surge research priority. Outcomes included validation of the benchmark of 500 beds/million of population for disaster surge capacity, effectiveness of simulation- and Internet-based tools for forecasting of hospital and regional demand during disasters, effectiveness of reverse triage approaches, development of new disaster surge metrics, validation of mass critical care approaches (altered standards of care), use of telemedicine, and predictions of optimal hospital staffing levels for disaster surge events. Simulation tools appeared to provide some of the highest quality research.

CONCLUSION

Disaster simulation studies have arguably revolutionized the study of disaster surge in the intervening years since the 2006 AEM Science of Surge conference, helping to validate some previously known disaster surge benchmarks and to generate new surge metrics. Use of reverse triage approaches and altered standards of care, as well as Internet-based tools such as Google Flu Trends, have also proven effective. However, there remains significant work to be done toward standardizing research methodologies and outcomes, as well as validating disaster surge metrics.

Emergency Department Crowding and Outcomes After Emergency Department Discharge

STUDY OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSION

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

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

Background

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

Methods

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

Results

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

Conclusions

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

Electronic supplementary material

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

Clinical pathway improves pediatrics asthma management in the emergency department and reduces admissions

OBJECTIVE

Poor adherence to the National Institute of Health (NIH) Asthma Guidelines may result in unnecessary admissions for children presenting to the emergency department (ED) with exacerbations. We determine the effect of implementing an evidence-based ED clinical pathway on corticosteroid and bronchodilator administration and imaging utilization, and the subsequent effect on hospital admissions in a US ED.

METHODS

A prospective, interventional study of pediatric (≤21 years) visits to an academic ED between 2011 and 2013 with moderate-severe asthma exacerbations has been conducted. A multidisciplinary team designed a one-page clinical pathway based on the NIH Guidelines. Nurses, respiratory therapists and physicians attended educational sessions prior to the pathway implementation. By adjusting for demographics, acuity and ED volume, we compared timing and appropriateness of corticosteroid and bronchodilator administration, and chest radiograph (CXR) utilization with historical controls from 2006 to 2011. Subsequent hospital admission rates were also compared.

RESULTS

A total of 379 post-intervention visits were compared with 870 controls. Corticosteroids were more likely to be administered during post-intervention visits (96% vs. 78%, adjusted OR 6.35; 95% CI 3.17-12.73). Post-intervention, median time to corticosteroid administration was 45 min faster (RR 0.74; 95% CI 0.67-0.81) and more patients received corticosteroids within 1 h of arrival (45% vs. 18%, OR 3.5; 95% CI 2.50-4.90). More patients received > 1 bronchodilator dose within 1 h (36% vs. 24%, OR 1.65; 95% CI 1.23-2.21) and fewer received CXRs (27% vs. 42%, OR 0.7; 95% CI 0.52-0.94). There were fewer admissions post-intervention (13% vs. 21%, OR 0.53; 95% CI 0.37-0.76).

CONCLUSION

A clinical pathway is associated with improved adherence to NIH Guidelines and, subsequently, fewer hospital admissions for pediatric ED patients with asthma exacerbations.

Relationship between racial disparities in ED wait times and illness severity

BACKGROUND

Prolonged emergency department (ED) wait times could potentially lead to increased mortality. Studies have demonstrated that black patients waited significantly longer for ED care than nonblack patients. However, the disparity in wait times need not necessarily manifest across all illness severities. We hypothesize that, on average, black patients wait longer than nonblack patients and that the disparity is more pronounced as illness severity decreases.

METHODS

We studied 34143 patient visits in 353 hospital EDs in the National Hospital Ambulatory Medical Care Survey in 2008. In a 2-model approach, we regressed natural logarithmically transformed wait time on the race variable, other patient-level variables, and hospital-level variables for 5 individually stratified illness severity categories. We reported results as percent difference in wait times, with 95% confidence intervals. We used P < .05 for significance level.

RESULTS

On average, black patients experienced significantly longer mean ED wait times than white patients (69.2 vs 53.3 minutes; P < .001). In the multivariate model, black patients did not experience significant different wait times for the 2 most urgent severity categories; black patients experienced increasingly longer waits vs nonblack patients for the 3 least urgent severity categories (14.7%, P < .05; 15.9%, P < .05; 29.9%, P < .001, respectively).

CONCLUSION

Racial disparity in ED wait times between black and nonblack patients exists, and the size of the disparity is more pronounced as illness severity decreases. We do not find a racial disparity in wait times for critically ill patients.

Organisational Factors Induce Prolonged Emergency Department Length of Stay in Elderly Patients--A Retrospective Cohort Study

Study objective

To assess the association of patient and organisational factors with emergency department length of stay (ED-LOS) in elderly ED patients (226565 years old) and in younger patients (<65 years old).

Methods

A retrospective cohort study of internal medicine patients visiting the emergency department between September 1^st 2010 and August 31^st 2011 was performed. All emergency department visits by internal medicine patients 226565 years old and a random sample of internal medicine patients <65 years old were included. Organisational factors were defined as non-medical factors. ED-LOS is defined as the time between ED arrival and ED discharge or admission. Prolonged ED-LOS is defined as ≥75^th percentile of ED-LOS in the study population, which was 208 minutes.

Results

Data on 1782 emergency department visits by elderly patients and 597 emergency department visits by younger patients were analysed. Prolonged ED-LOS in elderly patients was associated with three organisational factors: >1 consultation during the emergency department visit (odds ratio (OR) 3.2, 95% confidence interval (CI) 2.3–4.3), a higher number of diagnostic tests (OR 1.2, 95% CI 1.16–1.33) and evaluation by a medical student or non-trainee resident compared with a medical specialist (OR 4.2, 95% CI 2.0–8.8 and OR 2.3, 95% CI 1.4–3.9). In younger patients, prolonged ED-LOS was associated with >1 consultation (OR 2.6, 95% CI 1.4–4.6). Factors associated with shorter ED-LOS were arrival during nights or weekends as well as a high urgency level in elderly patients and self-referral in younger patients.

Conclusion

Organisational factors, such as a higher number of consultations and tests in the emergency department and a lower seniority of the physician, were the main aspects associated with prolonged ED-LOS in elderly patients. Optimisation of the organisation and coordination of emergency care is important to accommodate the needs of the continuously growing number of elderly patients in a better way.

Review article: systematic review of three key strategies designed to improve patient flow through the emergency department

To explore the literature regarding three key strategies designed to promote patient throughput in the ED. CINAHL, Medline, PubMed, Scopus and Australian Government databases were searched for articles published between 1980 and 2014 using the key search terms ED flow/throughput, ED congestion, crowding, overcrowding, models of care, physician-assisted triage, medical assessment units, nurse practitioner, did not wait (DNW) and ED length of stay (LOS). Abstracts and articles not published in English and articles published before 1980 were excluded from the review. Quantitative and qualitative studies were considered for inclusion. The National Health Medical Research Council (NHMRC) Level of Evidence Hierarchy (2009) was applied to included studies. Twenty-one articles met criteria for review. The level of evidence assessed using the NHMRC guidelines of studies ranged from I to IV, with the majority falling into the Level II-2 (n = 6) and III-3 (n = 9) range. ED LOS was the outcome most often reported. Study quality was limited with few studies adjusting for confounding factors. Only one level I systematic review was included in this review. Advanced practice nursing roles, physician-assisted triage and medical assessment units are models of care that can positively impact ED throughput. They have been shown to decrease ED LOS and DNW rates. Confounding factors, such as site specific staffing requirements, patient acuity and rest-of-hospital processes, can also impact on patient throughput through the ED.

Older people in the emergency department: a literature review

BACKGROUND

Emergency departments (EDs) play a unique role in healthcare systems throughout the world by providing acute interventions for older patients with acute/emergency and multiple health problems. The aim of this review was to identify studies that focused on older patients admitted to EDs and to determine the reasons for the visits.

DESIGN AND METHODS

The literature review was based on a comprehensive search of electronic databases. Inclusion criteria were original research written in English; published 2002-2012; focused on older people; reasons for ED visit; and factors that affect the discharge process and those associated with a repeat ED visit. Other literature reviews and studies unrelated to the ED context, and studies examining patients aged ≥65 years, were excluded. Content analysis was performed. Twenty-five studies were identified and critically evaluated.

RESULTS

The highest proportion of older people visited the ED because of multiple health conditions. The reasons for the visits were cardiovascular, mental health, musculoskeletal and abdominal conditions; adverse drug reactions; dermatological, neurological and respiratory conditions; poor health status; accidents; and the influence of time factors such as time of day, week or season. Factors that affected the discharge process were unresolved problems, health risk identification, aftercare instructions, medication prescribed at discharge and patient's residence before ED admission. Factors associated with repeat ED visits were sociodemographic characteristics, social problems, health problems, need for systematic health assessment, healthcare service use and inadequacy of care provided.

CONCLUSIONS

The current review showed that older people are the main population visiting EDs; important factors required for planning and providing nursing care for older people in EDs were identified. More research is needed to determine how EDs support older people and their families.

IMPLICATIONS FOR PRACTICE

The findings of the current review identified that older people visit ED quite often because of different reasons. Discharge process and repeat visits may be influenced by various factors. To ensure quality nursing care in ED nurses need to be aware why do older people visit the ED, what factors may influence discharge and what factors are associated with repeat ED visits.

Triage-based resource allocation and clinical treatment protocol on outcome and length of stay in the emergency department

OBJECTIVE

The present study aimed to determine the relationship between the triage-based resource allocation and clinical treatment (TRACT) protocol and mortality and length of stay (LOS) in ED.

METHODS

This before-and-after study was conducted in an adult, tertiary, teaching hospital ED from August 2008 to July 2012. Patients who were younger than 18 years of age, who were dead on arrival and whose triage information was not available were excluded. TRACT was implemented in August 2010, and the Emergency Severity Index (ESI) was used for triage. Primary and secondary outcomes were ED mortality and ED LOS. Multivariate logistic regression models for ED mortality and multivariable general linear models on the ED LOS were used to compare the before- and after-intervention periods.

RESULTS

For the 155 563 visits over study period, the ED mortality rate was 0.2%, and the ED LOS was 4.6 h (median). The adjusted odds ratios (95% confidence intervals [CIs]) of the TRACT protocol on ED mortality were 0.69 (0.54-0.88) for total patients, 0.42 (0.30-0.59) for ESI 1, 1.04 (0.66-1.65) for ESI 2 and 1.45 (0.76-2.75) for ESI 3 group. The adjusted coefficients (95% CIs) of the TRACT on the ED LOS were -88.1 (-96.9 ∼ -79.2) min for all patients, -44.9 (-72.0 ∼ -17.9) min for ESI level 2 and -104.3 (-114.7 ∼ -94.0) min for ESI level 3.

CONCLUSIONS

The TRACT protocol decreased the ED mortality in ESI 1 group and reduced the ED LOS in ESI levels 2 and 3 groups.

Use of the SONET Score to Evaluate High Volume Emergency Department Overcrowding: A Prospective Derivation and Validation Study

Background. The accuracy and utility of current Emergency Department (ED) crowding estimation tools remain uncertain in EDs with high annual volumes. We aimed at deriving a more accurate tool to evaluate overcrowding in a high volume ED setting and determine the association between ED overcrowding and patient care outcomes. Methods. A novel scoring tool (SONET: Severely overcrowded-Overcrowded-Not overcrowded Estimation Tool) was developed and validated in two EDs with both annual volumes exceeding 100,000. Patient care outcomes including the number of left without being seen (LWBS) patients, average length of ED stay, ED 72-hour returns, and mortality were compared under the different crowding statuses. Results. The total number of ED patients, the number of mechanically ventilated patients, and patient acuity levels were independent risk factors affecting ED overcrowding. SONET was derived and found to better differentiate severely overcrowded, overcrowded, and not overcrowded statuses with similar results validated externally. In addition, SONET scores correlated with increased length of ED stay, number of LWBS patients, and ED 72-hour returns. Conclusions. SONET might be a better fit to determine high volume ED overcrowding. ED overcrowding negatively impacts patient care operations and often produces poor patient perceptions of standardized care delivery.

Crowding measures associated with the quality of emergency department care: a systematic review

OBJECTIVES

Despite the substantial body of literature on emergency department (ED) crowding, to the best of our knowledge, there is no agreement on the measure or measures that should be used to quantify crowding. The objective of this systematic review was to identify existing measures of ED crowding that have been linked to quality of care as defined by the Institute of Medicine (IOM) quality domains (safe, effective, patient-centered, efficient, timely, and equitable).

METHODS

Six major bibliographic databases were searched from January 1980 to January 2012, and hand searches were conducted of relevant journals and conference proceedings. Observational studies (cross-sectional, cohort, and case-control), quality improvement studies, quasi-experimental (e.g., before/after) studies, and randomized controlled trials were considered for inclusion. Studies that did not provide measures of ED crowding were excluded. Studies that did not provide quantitative data on the link between crowding measures and quality of care were also excluded. Two independent reviewers assessed study eligibility, completed data extraction, and assessed study quality using the Newcastle-Ottawa Quality Assessment Scale (NOS) for observational studies and a modified version of the NOS for cross-sectional studies.

RESULTS

The search identified 7,413 articles. Thirty-two articles were included in the review: six cross-sectional, one case-control, 23 cohort, and two retrospective reviews of performance improvement data. Methodologic quality was moderate, with weaknesses in the reporting of study design and methodology. Overall, 15 of the crowding measures studied had quantifiable links to quality of care. The three measures most frequently linked to quality of care were the number of patients in the waiting room, ED occupancy (percentage of overall ED beds filled), and the number of admitted patients in the ED awaiting inpatient beds. None of the articles provided data on the link between crowding measures and the IOM domains reflecting equitable and efficient care.

CONCLUSIONS

The results of this review provide data on the association between ED crowding measures and quality of care. Three simple crowding measures have been linked to quality of care in multiple publications.

Determining delayed admission to intensive care unit for mechanically ventilated patients in the emergency department

Introduction

The adverse effects of delayed admission to the intensive care unit (ICU) have been recognized in previous studies. However, the definitions of delayed admission vary across studies. This study proposed a model to define ‘delayed admission’, and explored the effect of ICU waiting time on patients’ outcome.

Methods

This retrospective cohort study included nontraumatic adult patients on mechanical ventilation in the emergency department (ED), from July 2009 to June 2010. The primary outcomes measures were 21-ventilator-day mortality and prolonged hospital stays (over 30 days). Models of Cox regression and logistic regression were used for multivariate analysis. The non-delayed ICU waiting was defined as a period in which the time effect on mortality was not statistically significant in a Cox regression model. To identify a suitable cutoff point between ‘delayed’ and ‘non-delayed’ subsets from the overall data were made based on ICU waiting time and the hazard ratio of ICU waiting hour in each subset was iteratively calculated. The cutoff time was then used to evaluate the impact of delayed ICU admission on mortality and prolonged length of hospital stay.

Results

The final analysis included 1,242 patients. The time effect on mortality emerged after 4 hours, thus we deduced ICU waiting time in the ED of >4 hours as delayed. By logistic regression analysis, delayed ICU admission affected the outcomes of 21-ventilator-day mortality and prolonged hospital stay, with an odds ratio of 1.41 (95% confidence interval, 1.05 to 1.89) and 1.56 (95% confidence interval, 1.07 to 2.27) respectively.

Conclusions

For patients on mechanical ventilation in the ED, delayed ICU admission is associated with higher probability of mortality and additional resource expenditure. A benchmark waiting time of no more than 4 hours for ICU admission is recommended.

Expanding emergency department capacity: a multisite study

OBJECTIVES

The aims of the present study were to identify predictors of admission and describe outcomes for patients who arrived via ambulance to three Australian public emergency departments (EDs), before and after the opening of 41 additional ED beds within the area.

METHODS

The present study was a retrospective comparative cohort study using deterministically linked health data collected between 3 September 2006 and 2 September 2008. Data included ambulance offload delay, time to see doctor, ED length of stay (LOS), admission requirement, access block, hospital LOS and in-hospital mortality. Logistic regression analysis was undertaken to identify predictors of hospital admission.

RESULTS

Almost one-third of all 286037 ED presentations were via ambulance (n=79196) and 40.3% required admission. After increasing emergency capacity, the only outcome measure to improve was in-hospital mortality. Ambulance offload delay, time to see doctor, ED LOS, admission requirement, access block and hospital LOS did not improve. Strong predictors of admission before and after increased capacity included age >65 years, Australian Triage Scale (ATS) Category 1-3, diagnoses of circulatory or respiratory conditions and ED LOS >4h. With additional capacity, the odds ratios for these predictors increased for age >65 years and ED LOS >4h, and decreased for ATS category and ED diagnoses.

CONCLUSIONS

Expanding ED capacity from 81 to 122 beds within a health service area impacted favourably on mortality outcomes, but not on time-related service outcomes such as ambulance offload time, time to see doctor and ED LOS. To improve all service outcomes, when altering (increasing or decreasing) ED bed numbers, the whole healthcare system needs to be considered.

Emergency department crowding predicts admission length-of-stay but not mortality in a large health system

BACKGROUND

Emergency department (ED) crowding has been identified as a major threat to public health.

OBJECTIVES

We assessed patient transit times and ED system crowding measures based on their associations with outcomes.

RESEARCH DESIGN

Retrospective cohort study.

SUBJECTS

We accessed electronic health record data on 136,740 adults with a visit to any of 13 health system EDs from January 2008 to December 2010.

MEASURES

Patient transit times (waiting, evaluation and treatment, boarding) and ED system crowding [nonindex patient length-of-stay (LOS) and boarding, bed occupancy] were determined. Outcomes included individual inpatient mortality and admission LOS. Covariates included demographic characteristics, past comorbidities, severity of illness, arrival time, and admission diagnoses.

RESULTS

No patient transit time or ED system crowding measure predicted increased mortality after control for patient characteristics. Index patient boarding time and lower bed occupancy were associated with admission LOS (based on nonoverlapping 95% CI vs. the median value). As boarding time increased from none to 14 hours, admission LOS increased an additional 6 hours. As mean occupancy decreased below the median (80% occupancy), admission LOS decreased as much as 9 hours.

CONCLUSIONS

Measures indicating crowded ED conditions were not predictive of mortality after case-mix adjustment. The first half-day of boarding added to admission LOS rather than substituted for it. Our findings support the use of boarding time as a measure of ED crowding based on robust prediction of admission LOS. Interpretation of measures based on other patient ED transit times may be limited to the timeliness of care.

Effects of emergency department expansion on emergency department patient flow

OBJECTIVES

Emergency department (ED) crowding is an increasing problem associated with adverse patient outcomes. ED expansion is one method advocated to reduce ED crowding. The objective of this analysis was to determine the effect of ED expansion on measures of ED crowding.

METHODS

This was a retrospective study using administrative data from two 11-month periods before and after the expansion of an ED from 33 to 53 adult beds in an academic medical center. ED volume, staffing, and hospital admission and occupancy data were obtained either from the electronic health record (EHR) or from administrative records. The primary outcome was the rate of patients who left without being treated (LWBT), and the secondary outcome was total ED boarding time for admitted patients. A multivariable robust linear regression model was used to determine whether ED expansion was associated with the outcome measures.

RESULTS

The mean (±SD) daily adult volume was 128 (±14) patients before expansion and 145 (±17) patients after. The percentage of patients who LWBT was unchanged: 9.0% before expansion versus 8.3% after expansion (difference = 0.6%, 95% confidence interval [CI] = -0.16% to 1.4%). Total ED boarding time increased from 160 to 180 hours/day (difference = 20 hours, 95% CI = 8 to 32 hours). After daily ED volume, low-acuity area volume, daily wait time, daily boarding hours, and nurse staffing were adjusted for, the percentage of patients who LWBT was not independently associated with ED expansion (p = 0.053). After ED admissions, ED intensive care unit (ICU) admissions, elective surgical admissions, hospital occupancy rate, ICU occupancy rate, and number of operational ICU beds were adjusted for, the increase in ED boarding hours was independently associated with the ED expansion (p = 0.005).

CONCLUSIONS

An increase in ED bed capacity was associated with no significant change in the percentage of patients who LWBT, but had an unintended consequence of an increase in ED boarding hours. ED expansion alone does not appear to be an adequate solution to ED crowding.

The probability of patients being admitted from the emergency department is negatively correlated to in-hospital bed occupancy - a registry study

Background

The association between emergency department (ED) overcrowding and poor patient outcomes is well described, with recent work suggesting that the phenomenon causes delays in time-sensitive interventions, such as resuscitation. Even though most researchers agree on the fact that admitted patients boarding in the ED is a major contributing factor to ED overcrowding, little work explicitly addresses whether in-hospital occupancy is associated to the probability of patients being admitted from the ED. The objective of the present study is to investigate whether such an association exists.

Methods

Retrospective analysis of data on all ED visits to Helsingborg General Hospital in southern Sweden between January 1, 2011, and December 31, 2012, was undertaken. The fraction of admitted patients was calculated separately for strata of in-hospital occupancy <95%, 95–100%, 100–105%, and >105%. Multivariate models were constructed in an attempt to take confounding factors, e.g., presenting complaints, age, referral status, triage priority, and sex into account. Subgroup analysis was performed for each specialty unit within the ED.

Results

Overall, 118,668 visits were included. The total admitted fraction was 30.9%. For levels of in-hospital occupancy <95%, 95–100%, 100–105%, and >105% the admitted fractions were 31.5%, 30.9%, 29.9%, and 28.7%, respectively. After taking confounding factors into account, the odds ratio for admission were 0.88 (CI 0.84–0.93, P >0.001) for occupancy level 95–100%, 0.82 (CI 0.78–0.87, P >0.001) for occupancy level 100–105%, and 0.74 (CI 0.67–0.81, P >0.001) for occupancy level >105%, relative to the odds ratio for admission at occupancy level <95%. A similar pattern was observed upon subgroup analysis.

Conclusions

In-hospital occupancy was significantly associated with a decreased odds ratio for admission in the study population. One interpretation is that patients who would benefit from inpatient care instead received suboptimal care in outpatient settings at times of high in-hospital occupancy. A second interpretation is that physicians admit patients who could be managed safely in the outpatient setting, in times of good in-hospital bed availability. Physicians thereby expose patients to healthcare-associated infections and other hazards, in addition to consuming resources better needed by others.

The relationship between emergency department crowding and patient outcomes: a systematic review

PURPOSE

Emergency department (ED) crowding is a significant patient safety concern associated with poor quality of care. The purpose of this systematic review is to assess the relationship between ED crowding and patient outcomes.

DESIGN

We searched the Medline search engine and relevant emergency medicine and nursing journals for studies published in the past decade that pertained to ED crowding and the following patient outcome measures: mortality, morbidity, patient satisfaction, and leaving the ED without being seen. All articles were appraised for study quality.

FINDINGS

A total of 196 abstracts were screened and 11 articles met inclusion criteria. Three of the eleven studies reported a significant positive relationship between ED crowding and mortality either among patients admitted to the hospital or discharged home. Five studies reported that ED crowding is associated with higher rates of patients leaving the ED without being seen. Measures of ED crowding varied across studies.

CONCLUSIONS

ED crowding is a major patient safety concern associated with poor patient outcomes. Interventions and policies are needed to address this significant problem.

CLINICAL RELEVANCE

This review details the negative patient outcomes associated with ED crowding. Study results are relevant to medical professionals and those that seek care in the ED.

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.

Emergency department crowding and time to antibiotic administration in febrile infants

Introduction:

Early antibiotic administration is recommended in newborns presenting with febrile illness to emergency departments (ED) to avert the sequelae of serious bacterial infection. Although ED crowding has been associated with delays in antibiotic administration in a dedicated pediatric ED, the majority of children that receive emergency medical care in the United States present to EDs that treat both adult and pediatric emergencies. The purpose of this study was to examine the relationship between time to antibiotic administration in febrile newborns and crowding in a general ED serving both an adult and pediatric population.

Methods:

We conducted a retrospective chart review of 159 newborns presenting to a general ED between 2005 and 2011 and analyzed the association between time to antibiotic administration and ED occupancy rate at the time of, prior to, and following infant presentation to the ED.

Results:

We observed delayed and variable time to antibiotic administration and found no association between time to antibiotic administration and occupancy rate prior to, at the time of, or following infant presentation (p>0.05). ED time to antibiotic administration was not associated with hospital length of stay, and there was no inpatient mortality.

Conclusion:

Delayed and highly variable time to antibiotic treatment in febrile newborns was common but unrelated to ED crowding in the general ED study site. Guidelines for time to antibiotic administration in this population may reduce variability in ED practice patterns.

Emergency department crowding and younger age are associated with delayed corticosteroid administration to children with acute asthma

OBJECTIVE

This study aimed to identify factors associated with delayed or omission of indicated steroids for children seen in the emergency department (ED) for moderate-to-severe asthma exacerbation.

METHODS

This was a retrospective study of pediatric (age ≤ 21 years) patients treated in a general academic ED from January 2006 to September 2011 with a primary diagnosis of asthma (International Classification of Diseases, Ninth Revision code 493.xx) and moderate-to-severe exacerbations. A moderate-to-severe exacerbation was defined as requiring 2 or more (or continuous) bronchodilators. We determined the proportion of visits in which steroids were inappropriately omitted or delayed (>1 hour from arrival). Multivariable logistic regression models were used to identify patient, physician, and system factors associated with delayed or omitted steroids.

RESULTS

Of 1333 pediatric asthma ED visits, 817 were for moderate-to-severe exacerbation; 645 (79%) received steroids. Patients younger than 6 years (odds ratio [OR], 2.25; 95% confidence interval [CI], 1.19-4.24), requiring more bronchodilators (OR, 2.82; 95% CI, 2.10-3.79), initially hypoxic (OR, 2.78; 95% CI, 1.33-5.83), or tachypneic (OR, 1.52; 95% CI, 1.05-2.20) were more likely to receive steroids. Median time to steroid administration was 108 minutes (interquartile range, 65-164 minutes). Steroid administration was delayed in 502 visits (78%). Patients with hypoxia (OR, 1.91; 95% CI, 1.11-3.27) or tachypnea (OR, 1.82; 95% CI, 1.17-2.84) were more likely to receive steroids 1 hour or less of arrival, whereas children younger than 2 years (OR, 0.16; 95% CI, 0.07-0.35) and those arriving during periods of higher ED volume (OR, 0.79; 95% CI, 0.67-0.94) were less likely to receive timely steroids.

CONCLUSIONS

In this ED, steroids were underprescribed and frequently delayed for pediatric ED patients with moderate-to-severe asthma exacerbation. Greater ED volume and younger age are associated with delays. Interventions are needed to expedite steroid administration, improving adherence to National Institutes of Health asthma guidelines.

Emergency department conditions associated with the number of patients who leave a pediatric emergency department before physician assessment

OBJECTIVES

As emergency department (ED) waiting times and volumes increase, substantial numbers of patients leave without being seen (LWBS) by a physician. The objective of this study was to identify ED conditions reflecting patient input, throughput, and output associated with the number of patients who LWBS in a pediatric setting.

METHODS

This study was a retrospective, descriptive study using data from 1 urban, tertiary care pediatric ED. The study population consisted of all patient visits to the ED from April 2005 to March 2007. Multivariate Poisson regression analyses were used to examine the impact of the timing of patient arrival and ED conditions including patient acuity, volume, and waiting times on the number of patients who LWBS.

RESULTS

During the study period, there were 138,361 patient visits corresponding to 2190 consecutive shifts; 11,055 patients (8%) left without being seen by a physician.In the multivariate analysis, the throughput variables, time from triage to physician assessment (rate ratio, 2.11; 95% confidence interval, 2.01-2.21), and time from registration to triage (rate ratio, 1.55; 95% confidence interval, 1.25-1.90) had the largest association with the number of patients who LWBS.

CONCLUSIONS

In the study ED, throughput variables played a more important role than input or output variables on the number of patients who LWBS. This finding, which contrasts with a work done previously in an ED serving primarily adults, highlights the importance of pediatric specific research on the impacts of increasing ED waiting times and volumes.

Emergency department occupancy ratio is associated with increased early mortality

BACKGROUND

To measure emergency department (ED) crowding, the emergency department occupancy ratio (EDOR) was introduced.

OBJECTIVE

Our aim was to determine whether the EDOR is associated with mortality in adult patients who visited the study hospital ED.

METHODS

We reviewed data on all patients who visited the ED of an urban tertiary academic hospital in Korea for 2 consecutive years. The EDOR is defined by the total number of patients in the ED divided by the number of licensed ED beds. We tested the association between the EDOR (quartile) and each outcome using a multivariable logistic regression analysis adjusted for potential confounders: age, sex, emergency medical services transport, transferred case, weekend visit, shift, triage acuity, visit cause of injury, operation, vital signs, intensive care unit or ward admission, and ED length of stay (quartile). The main outcome measures were survival status at discharge and at 1-7 days.

RESULTS

A total of 54,410 adult patients were enrolled. The EDOR ranged from 0.41 to 2.31 and the median was 1.24. On multivariable analyses, in comparison with the lowest (first) quartile, the highest (fourth) quartile of the EDOR was associated with 1-day mortality (adjusted odds ratio [OR] = 1.42; 95% confidence interval [CI] 1.08-1.88), 2-day mortality (adjusted OR = 1.31; 95% CI 1.04-1.67), and 3-day mortality (adjusted OR = 1.27; 95% CI 1.02-1.58). The EDOR was not significantly associated with 4- to 7-day mortalities and overall mortality at discharge.

CONCLUSIONS

The EDOR is associated with increased 1- to 3-day mortality even after controlling for potential confounders.

Efficacy of emergency department-initiated tobacco control--systematic review and meta-analysis of randomized controlled trials

AIM

Systematic review and meta-analysis of randomized controlled trials evaluating the efficacy of emergency department-initiated tobacco control (ETC).

METHODS

Literature search in 7 databases and gray literature sources. Point prevalence tobacco abstinence at 1-, 3-, 6-, and/or 12-month follow-up was abstracted from each study. The proportionate effect (relative risk) of ETC on tobacco abstinence was calculated separately for each study and follow-up time and pooled, at different follow-up times, by Mantel-Haenszel relative risks. The effects of ETC on combined point prevalence tobacco abstinence across all follow-up times were calculated using generalized linear mixed models.

RESULTS

Seven studies with overall 1,986 participants were included. The strongest effect of ETC on point prevalence tobacco abstinence was found at 1 month: Relative risk (RR) = 1.47 (3 studies) (95% confidence interval [CI]: 1.06-2.06), while the effect at 3, 6, and 12 months was RR = 1.24 (6 studies) (95% CI: 0.93-1.65); 1.13 (5 studies) (95% CI: 0.86-1.49); and 1.25 (1 study) (95% CI: 0.91-1.72). The benefit on combined point prevalence tobacco abstinence was RR = 1.33 (7 studies) (95% CI: 0.96-1.83), p = .08; with RR = 1.33 (95% CI: 0.92-1.92), p = .10, for the 5 studies combining motivational interviewing and booster phone calls.

CONCLUSIONS

ETC combining motivational interviewing and booster phone calls showed a trend toward increased episodically measured tobacco abstinence up to 12 months. More methodologically rigorous trials are needed to effectively evaluate the impact of ETC.

Effect of emergency department crowding on outcomes of admitted patients

STUDY OBJECTIVE

Emergency department (ED) crowding is a prevalent health delivery problem and may adversely affect the outcomes of patients requiring admission. We assess the association of ED crowding with subsequent outcomes in a general population of hospitalized patients.

METHODS

We performed a retrospective cohort analysis of patients admitted in 2007 through the EDs of nonfederal, acute care hospitals in California. The primary outcome was inpatient mortality. Secondary outcomes included hospital length of stay and costs. ED crowding was established by the proxy measure of ambulance diversion hours on the day of admission. To control for hospital-level confounders of ambulance diversion, we defined periods of high ED crowding as those days within the top quartile of diversion hours for a specific facility. Hierarchic regression models controlled for demographics, time variables, patient comorbidities, primary diagnosis, and hospital fixed effects. We used bootstrap sampling to estimate excess outcomes attributable to ED crowding.

RESULTS

We studied 995,379 ED visits resulting in admission to 187 hospitals. Patients who were admitted on days with high ED crowding experienced 5% greater odds of inpatient death (95% confidence interval [CI] 2% to 8%), 0.8% longer hospital length of stay (95% CI 0.5% to 1%), and 1% increased costs per admission (95% CI 0.7% to 2%). Excess outcomes attributable to periods of high ED crowding included 300 inpatient deaths (95% CI 200 to 500 inpatient deaths), 6,200 hospital days (95% CI 2,800 to 8,900 hospital days), and $17 million (95% CI $11 to $23 million) in costs.

CONCLUSION

Periods of high ED crowding were associated with increased inpatient mortality and modest increases in length of stay and costs for admitted patients.

Wait times in the emergency department for patients with mental illness

BACKGROUND

It has been suggested that patients with mental illness wait longer for care than other patients in the emergency department. We determined wait times for patients with and without mental health diagnoses during crowded and noncrowded periods in the emergency department.

METHODS

We conducted a population-based retrospective cohort analysis of adults seen in 155 emergency departments in Ontario between April 2007 and March 2009. We compared wait times and triage scores for patients with mental illness to those for all other patients who presented to the emergency department during the study period.

RESULTS

The patients with mental illness (n = 51 381) received higher priority triage scores than other patients, regardless of crowding. The time to assessment by a physician was longer overall for patients with mental illness than for other patients (median 82, interquartile range [IQR] 41-147 min v. median 75 [IQR 36-140] min; p < 0.001). The median time from the decision to admit the patient to hospital to ward transfer was markedly shorter for patients with mental illness than for other patients (median 74 [IQR 15-215] min v. median 152 [IQR 45-605] min; p < 0.001). After adjustment for other variables, patients with mental illness waited 10 minutes longer to see a physician compared with other patients during noncrowded periods (95% confidence interval [CI] 8 to 11), but they waited significantly less time than other patients as crowding increased (mild crowding: -14 [95% CI -12 to -15] min; moderate crowding: -38 [95% CI -35 to -42] min; severe crowding: -48 [95% CI -39 to -56] min; p < 0.001).

INTERPRETATION

Patients with mental illness were triaged appropriately in Ontario's emergency departments. These patients waited less time than other patients to see a physician under crowded conditions and only slightly longer under noncrowded conditions.

Predictive variables of an emergency department quality and performance indicator: a 1-year prospective, observational, cohort study evaluating hospital and emergency census variables and emergency department time interval measurements

OBJECTIVE

Emergency department (ED) crowding impacts negatively on quality of care. The aim was to determine the association between ED quality and input, throughput and output-associated variables.

METHODS

This 1-year, prospective, observational, cohort study determined the daily percentage of patients leaving the ED in <4 h (ED quality and performance indicator; EDQPI). According to the median EDQPI two groups were defined: best-days and bad-days. Hospital and ED variables and time interval metrics were evaluated as predictors.

RESULTS

Data were obtained for 67 307 patients over 364 days. Differences were observed between the two groups in unadjusted analysis: number of daily visits, number of patients as a function of final disposition, number boarding in the ED, and time interval metrics including wait time to triage nurse and ED provider, time from ED admission to decision, time from decision to departure and length of stay (LOS) as a function of final disposition. Five variables remained significant predictors for bad-days in multivariate analysis: wait time to triage nurse (OR 2.36; 95% CI 1.36 to 4.11; p=0.002), wait time to ED provider (OR 1.93; 95% CI 1.05 to 3.54; p=0.03), number of patients admitted to hospital (OR 1.86; 95% CI 1.09 to 3.19; p=0.02), LOS of non-admitted patients (OR 9.5; 95% CI 5.17 to 17.48; p<0.000001) and LOS of patients admitted to hospital (OR 2.46; 95% CI 1.44 to 4.2; p=0.0009).

CONCLUSIONS

Throughput is the major determinant of EDQPI, notably time interval reflecting the work dynamics of medical and nursing teams and the efficacy of fast-track routes for low-complexity patients. Output also significantly impacted on EDQPI, particularly the capacity to reduce the LOS of admitted patients.

Does ED crowding decrease the number of procedures a physician in training performs? A prospective observational study

PURPOSE

The aim of the study was to determine whether the number of procedures performed by residents and medical students in the emergency department (ED) is affected by ED crowding.

METHODS

In this single-center, prospective, observational study, standardized data collection forms were completed by both trainees and supervising emergency physicians (EPs) at the end of each ED shift from August 2009 to March 2010. Shifts with no trainees were excluded. All procedures that were offered to a trainee were recorded as well as the number of potential ED procedures that were, instead, referred to a consulting service. Emergency department crowding was measured in 2 ways: ED length of stay (LOS) and the EP's assessment of crowding during the shift. Poisson regression was used to assess the adjusted effect of ED crowding on the number of trainee procedures performed as well as on the number of procedures given away.

RESULTS

There were 804 procedures performed by 113 trainees during 647 trainee shifts. Medical students comprised 51% of trainees. Median number of procedures performed per shift was 1.0 (Fine interquartile range, 0-2.0). Emergency department crowding was not associated with the adjusted number of procedures trainees performed using either the EP's assessment of crowding (P = .52) or ED LOS (P = .84). Emergency department crowding was associated with an adjusted 256% increase in the mean number of procedures given away (P = .02) when measured using physician assessment but was not associated with crowding when assessed using ED LOS (P = .06).

CONCLUSIONS

Crowding was not significantly associated with the number of procedures availed to ED trainees. In patients being considered for admission, however, when the managing EP felt that it was crowded, there was an association with giving procedures to consulting services.

Comparison of methods for measuring crowding and its effects on length of stay in the emergency department

OBJECTIVES

This consensus conference presentation article focuses on methods of measuring crowding. The authors compare daily versus hourly measures, static versus dynamic measures, and the use of linear or logistic regression models versus survival analysis models to estimate the effect of crowding on an outcome.

METHODS

Emergency department (ED) visit data were used to measure crowding and completion of waiting room time, treatment time, and boarding time for all patients treated and released or admitted to a single ED during 2010 (excluding patients who left without being seen). Crowding was characterized according to total ED census. First, total ED census on a daily and hourly basis throughout the 1-year study period was measured, and the ratios of daily and hourly census to the ED's median daily and hourly census were computed. Second, the person-based ED visit data set was transposed to person-period data. Multiple records per patient were created, whereby each record represented a consecutive 15-minute interval during each patient's ED length of stay (LOS). The variation in crowding measured statically (i.e., crowding at arrival or mean crowding throughout the shift in which the patient arrived) or dynamically (every 15 minutes throughout each patient's ED LOS) were compared. Within each phase of care, the authors divided each individual crowding value by the median crowding value of all 15-minute intervals to create a time-varying ED census ratio. For the two static measures, the ratio between each patient's ED census at arrival and the overall median ED census at arrival was computed, as well as the ratio between the mean shift ED census (based on the shift in which the patient arrived) and the study ED's overall mean shift ED census. Finally, the effect of crowding on the probability of completing different phases of emergency care was compared when estimated using a log-linear regression model versus a discrete time survival analysis model.

RESULTS

During the 1-year study period, for 9% of the hours, total ED census was at least 50% greater than the median hourly census (median, 36). In contrast, on none of the days was total ED census at least 50% greater than the median daily census (median, 161). ED census at arrival and time-varying ED census yielded greater variation in crowding exposure compared to mean shift census for all three phases of emergency care. When estimating the effect of crowding on the completion of care, the discrete time survival analysis model fit the observed data better than the log-linear regression models. The discrete time survival analysis model also determined that the effect of crowding on care completion varied during patients' ED LOS.

CONCLUSIONS

Crowding measured at the daily level will mask much of the variation in crowding that occurs within a 24-hour period. ED census at arrival demonstrated similar variation in crowding exposure as time-varying ED census. Discrete time survival analysis is a more appropriate approach for estimating the effect of crowding on an outcome.