Emergency Department Crowding, Part 2—Barriers to Reform and Strategies to Overcome Them

From concept to reality: A comprehensive exploration into the development and evolution of a virtual emergency department

Emergency department (ED) overcrowding remains a persistent challenge in global public health, leading to detrimental outcomes for patients and healthcare professionals. Traditional approaches to improve this issue have been insufficient, prompting exploration of novel strategies such as virtual care interventions. Our team developed the first comprehensive statewide virtual ED in Australia, the Victorian Virtual Emergency Department, offering an alternative to in-person care for non-life-threatening emergencies. Here, we present the development and ongoing refinement of this pioneering virtual care service, aiming to provide insights for hospital administrators and policymakers seeking to implement patient-centric care solutions worldwide. By sharing our model of care, we hope to guide further work toward addressing the global problem of over crowded EDs.

An Effective Methodology for Scoring to Assist Emergency Physicians in Identifying Overcrowding in an Academic Emergency Department in Thailand

BACKGROUND

Emergency Department (ED) overcrowding is a global concern, with tools like NEDOCS, READI, and Work Score used as predictors. These tools aid healthcare professionals in identifying overcrowding and preventing negative patient outcomes. However, there's no agreed-upon method to define ED overcrowding. Most studies on this topic are U.S.-based, limiting their applicability in EDs without waiting rooms or ambulance diversion roles. Additionally, the intricate calculations required for these scores, with multiple variables, make them impractical for use in developing nations.

OBJECTIVE

This study sought to examine the relationship between prevalent ED overcrowding scores such as EDWIN, occupancy rate, and Work Score, and a modified version of EDWIN newly introduced by the authors, in comparison to the real-time perspectives of emergency physicians. Additionally, the study explored the links between these overcrowding scores and adverse events related to ED code activations as secondary outcomes.

METHOD

The method described in the provided text is a correlational study. The study aims to examine the relationship between various Emergency Department (ED) overcrowding scores and the real-time perceptions of emergency physicians in every two-hour period. Additionally, it seeks to explore the associations between these scores and adverse events related to ED code activations.

RESULTS

The study analyzed 459 periods, with 5.2% having Likert scores of 5-6. EDOR had the highest correlation coefficient (0.69, p < 0.001) and an AUC of 0.864. Only EDOR significantly correlated with adverse events (p = 0.033).

CONCLUSION

EDOR shows the most robust link with 'emergency physicians' views on overcrowding. Additionally, elevated EDOR scores correlate with a rise in adverse events. Emergency physicians' perceptionof overcrowding could hint at possible adverse events. Notably, all overcrowding scores have high negative predictive values, efficiently negating the likelihood of adverse incidents.

Applying Andersen's healthcare utilization model to assess factors influencing patients' expectations for diagnostic tests at emergency department visits during the COVID-19 pandemic

Background

The uncertainties surrounding the COVID-19 pandemic led to a surge in non-urgent emergency department (ED) attendance among people presenting with upper respiratory tract infection (URTI) symptoms. These non-urgent visits, often manageable in primary care, exacerbated ED overcrowding, which could compromise the quality of ED services. Understanding patients' expectations and the reasons for these ED visits is imperative to mitigate the problem of ED overcrowding. Hence, we assessed the factors influencing patients' expectations for diagnostic tests during their ED visits for uncomplicated URTI during different phases of the pandemic.

Methods

We conducted a cross-sectional study on adults with URTI symptoms seeking care at four public EDs in Singapore between March 2021 and March 2022. We segmented the study period into three COVID-19 pandemic phases-containment, transition, and mitigation. The outcome variables are whether patients expected (1) a COVID-19-specific diagnostic test, (2) a non-COVID-19-specific diagnostic test, (3) both COVID-19-specific and non-COVID-19-specific diagnostic tests, or (4) no diagnostic test. We built a multinomial regression model with backward stepwise selection and classified the findings according to Andersen's healthcare utilization model.

Results

The mean age of participants was 34.5 (12.7) years. Factors (adjusted odds ratio [95% confidence interval]) influencing expectations for a COVID-19-specific diagnostic test in the ED include younger age {21-40 years: (2.98 [1.04-8.55])}, no prior clinical consultation (2.10 [1.13-3.89]), adherence to employer's health policy (3.70 [1.79-7.67]), perceived non-severity of illness (2.50 [1.39-4.55]), being worried about contracting COVID-19 (2.29 [1.11-4.69]), and during the transition phase of the pandemic (2.29 [1.15-4.56]). Being non-employed influenced the expectation for non-COVID-19-specific diagnostic tests (3.83 [1.26-11.66]). Factors influencing expectations for both COVID-19-specific and non-COVID-19-specific tests include younger age {21-40 years: (3.61 [1.26-10.38]); 41-60 years: (4.49 [1.43-14.13])}, adherence to employer's health policy (2.94 [1.41-6.14]), being worried about contracting COVID-19 (2.95 [1.45- 5.99]), and during the transition (2.03 [1.02-4.06]) and mitigation (2.02 [1.03-3.97]) phases of the pandemic.

Conclusion

Patients' expectations for diagnostic tests during ED visits for uncomplicated URTI were dynamic across the COVID-19 pandemic phases. Expectations for COVID-19-specific diagnostic tests for ED visits for uncomplicated URTI were higher among younger individuals and those worried about contracting COVID-19 during the COVID-19 pandemic. Future studies are required to enhance public communications on the availability of diagnostic services in primary care and public education on self-management of emerging infectious diseases such as COVID-19.

Situation analysis model of hospital emergency department promotion in Iran: A cross-sectional study

Background and Aim

The present study was conducted to develop a situation analysis model for Iran's hospitals' emergency departments (EDs).

Methods

The current research was a descriptive cross-sectional applied study in three stages. The studies were reviewed in various library resources and valid sites in the first stage. In the second stage, the analysis model of the ED in Iran was presented. In the third stage, the model was validated based on the Delphi technique, and the final model was presented.

Results

The final situation analysis model of ED in Iran was approved in four main aspects, including goals, internal factors, external factors, and organizations and institutions participating in the situation analysis, and its implementation schedule was approved by 90% of experts.

Conclusion

Considering the importance of situation analysis in developing a strategic plan and improving the quality of health services in the ED of hospitals, implementing a coherent situation analysis model that includes all aspects leading to improving the ED quality and analyzing the internal and external factors is vital.

Taiwan's National Health Insurance at the Emergency Department following the COVID-19 outbreak

Taiwan's National Health Insurance (NHI) is a widely acclaimed universal healthcare system. In the past few years, particularly following the COVID-19 outbreak, challenges related to maintaining the NHI system have surfaced. Since 2020, NHI has faced a series of challenges, including excessive patient visits to the hospital emergency department, a lack of an effective primary care and referral system, and a high turnover rate of healthcare workers. We review major problems related to Taiwan's NHI, emphasizing input from frontline healthcare workers. We provide recommendations for potential policies addressing the concerns around NHI, for example, strengthening the role of primary care services under the NHI administration, reducing the high turnover rate of healthcare workers, and increase the premium and copayments. We hope that this policy analysis may allow policymakers and scholars to understand both the merits and critical problems related to NHI from the clinical perspective.

Safety of Triage Self-assessment Using a Symptom Assessment App for Walk-in Patients in the Emergency Care Setting: Observational Prospective Cross-sectional Study

Background

Increasing use of emergency departments (EDs) by patients with low urgency, combined with limited availability of medical staff, results in extended waiting times and delayed care. Technological approaches could possibly increase efficiency by providing urgency advice and symptom assessments.

Objective

The purpose of this study is to evaluate the safety of urgency advice provided by a symptom assessment app, Ada, in an ED.

Methods

The study was conducted at the interdisciplinary ED of Marburg University Hospital, with data collection performed between August 2019 and March 2020. This study had a single-center cross-sectional prospective observational design and included 378 patients. The app’s urgency recommendation was compared with an established triage concept (Manchester Triage System [MTS]), including patients from the lower 3 MTS categories only. For all patients who were undertriaged, an expert physician panel assessed the case to detect potential avoidable hazardous situations (AHSs).

Results

Of 378 participants, 344 (91%) were triaged the same or more conservatively and 34 (8.9%) were undertriaged by the app. Of the 378 patients, 14 (3.7%) had received safe advice determined by the expert panel and 20 (5.3%) were considered to be potential AHS. Therefore, the assessment could be considered safe in 94.7% (358/378) of the patients when compared with the MTS assessment. From the 3 lowest MTS categories, 43.4% (164/378) of patients were not considered as emergency cases by the app, but could have been safely treated by a general practitioner or would not have required a physician consultation at all.

Conclusions

The app provided urgency advice after patient self-triage that has a high rate of safety, a rate of undertriage, and a rate of triage with potential to be an AHS, equivalent to telephone triage by health care professionals while still being more conservative than direct ED triage. A large proportion of patients in the ED were not considered as emergency cases, which could possibly relieve ED burden if used at home. Further research should be conducted in the at-home setting to evaluate this hypothesis.

Trial Registration

German Clinical Trial Registration DRKS00024909; https://www.drks.de/drks_web/navigate.do? navigationId=trial.HTML&TRIAL_ID=DRKS00024909

Emergency department use and length of stay by younger and older adults: Nottingham cohort study in the emergency department (NOCED)

BACKGROUND

Younger and older adults attending the Emergency Department (ED) are a heterogeneous population. Longer length of ED stay is associated with adverse outcomes and may vary by age.

AIMS

To evaluate the associations between age and (1) clinical characteristics and (2) length of ED stay among adults attending ED.

METHODS

The NOttingham Cohort study in the Emergency Department (NOCED)-a retrospective cohort study-comprises new consecutive ED attendances by adults ≥ 18 years, at a secondary/tertiary care hospital, in 2019. Length of ED stay was dichotomised as < 4 and ≥ 4 h. The associations between age and length of ED stay were analysed by binary logistic regression and adjusted for socio-demographic and clinical factors including triage acuity.

RESULTS

146,636 attendances were analysed; 75,636 (51.6%) resulted in a length of ED stay ≥ 4 h. Attendances of adults aged 65 to 74 years, 75 to 84 years and ≥ 85 years, respectively, had an increased risk (odds ratio (95% confidence interval) of length of ED stay ≥ 4 h of 1.52 (1.45-1.58), 1.65 (1.58-1.72), and 1.84 (1.75-1.93), compared to those of adults 18 to 64 years (all p < 0.001). These findings remained consistent in the subsets of attendances leading to hospital admission and those leading to discharge from ED.

DISCUSSION AND CONCLUSION

In this real-world cohort study, older adults were more likely to have a length of ED stay ≥ 4 h, with the oldest old having the highest risk. ED target times should take into account age of attendees.

Impact of ED Organization with a Holding Area and a Dedicated Team on the Adherence to International Guidelines for Patients with Acute Pulmonary Embolism: Experience of an Emergency Department Organized in Areas of Intensity of Care

Background: Adherence to guidelines by physicians of an emergency department (ED) depends on many factors: guideline and environmental factors; patient and practitioner characteristics; the social-political context. We focused on the impact of the environmental influence and of the patients’ characteristics on adherence to the guidelines. It is our intention to demonstrate how environmental factors such as ED organization more affect adherence to guidelines than the patient’s clinical presentation, even in a clinically insidious disease such as pulmonary embolism (PE). Methods: A single-center observational study was carried out on all patients who were seen at our Department of Emergency and Acceptance from 1 January to 31 December 2017 for PE. For the assessment of adherence to guidelines, we used the European guidelines 2014 and analyzed adherence to the correct use of clinical decision rule (CDR as Wells, Geneva, and YEARS); the correct initiation of heparin therapy; and the management of patients at high risk for short-term mortality. The primary endpoint of our study was to determine whether adherence to the guidelines as a whole depends on patients’ management in a holding area. The secondary objective was to determine whether adherence to the guidelines depended on patient characteristics such as the presence of typical symptoms or severe clinical features (massive pulmonary embolism; organ damage). Results: There were significant differences between patients who passed through OBI and those who did not, in terms of both administration of heparin therapy alone (p = 0.007) and the composite endpoints of heparin therapy initiation and observation/monitoring (p = 0.004), as indicated by the guidelines. For the subgroups of patients with massive PE, organ damage, and typical symptoms, there was no greater adherence to the decision making, administration of heparin therapy alone, and the endpoints of heparin therapy initiation and guideline-based observation/monitoring. Conclusions: Patients managed in an ED holding area were managed more in accordance with the guidelines than those who were managed only in the visiting ED rooms and directly hospitalized from there.

Managing and Measuring Emergency Department Care: Results of the Fourth Emergency Department Benchmarking Definitions Summit

BACKGROUND

A shared language and vocabulary are essential for managing emergency department (ED) operations. This Fourth Emergency Department Benchmarking Alliance (EDBA) Summit brought together experts in the field to review, update, and add to key definitions and metrics of ED operations.

OBJECTIVE

Summit objectives were to review and revise existing definitions, define and characterize new practices related to ED operations, and introduce financial and regulatory definitions affecting ED reimbursement.

METHODS

Forty-six ED operations, data management, and benchmarking experts were invited to participate in the EDBA summit. Before arrival, experts were provided with documents from the three prior summits and assigned to update the terminology. Materials and publications related to standards of ED operations were considered and discussed. Each group submitted a revised set of definitions prior to the summit. Significantly revised, topical, or controversial recommendations were discussed among all summit participants. The goal of the in-person discussion was to reach consensus on definitions. Work group leaders made changes to reflect the discussion, which was revised with public and stakeholder feedback.

RESULTS

The entire EDBA dictionary was updated and expanded. This article focuses on an update and discussion of definitions related to specific topics that changed since the last summit, specifically ED intake, boarding, diversion, and observation care. In addition, an extensive new glossary of financial and regulatory terminology germane to the practice of emergency medicine is included.

CONCLUSIONS

A complete and precise set of operational definitions, time intervals, and utilization measures is necessary for timely and effective ED care. A common language of financial and regulatory definitions that affect ED operations is included for the first time. This article and its companion dictionary should serve as a resource to ED leadership, researchers, informatics and health policy leaders, and regulatory bodies.

Role of a Brief Intensive Observation Area with a Dedicated Team of Doctors in the Management of Acute Heart Failure Patients: A Retrospective Observational Study

Background and objectives: Acute heart failure (AHF) is one of the main causes of hospitalization in Western countries. Usually, patients cannot be admitted directly to the wards (access block) and stay in the emergency room. Holding units are clinical decision units, or observation units, within the ED that are able to alleviate access block and to contribute to a reduction in hospitalization. Observation units have also been shown to play a role in specific clinical conditions, like the acute exacerbation of heart failure. This study aimed to analyze the impact of a brief intensive observation (OBI) area on the management of acute heart failure (AHF) patients. The OBI is a holding unit dedicated to the stabilization of unstable patients with a team of dedicated physicians. Materials and Methods: We conducted a retrospective and single-centered observational study with retrospective collection of the data of all patients who presented to our emergency department with AHF during 2017. We evaluated and compared two cohorts of patients, those treated in the OBI and those who were not, in terms of the reduction in color codes at discharge, mortality rate within the emergency room (ER), hospitalization rate, rate of transfer to less intensive facilities, and readmission rate at 7, 14, and 30 days after discharge. Results: We enrolled 920 patients from 1^st January to 31^st December. Of these, 61% were transferred to the OBI for stabilization. No statistically significant difference between the OBI and non-OBI populations in terms of age and gender was observed. OBI patients had worse clinical conditions on arrival. The patients treated in the OBI had longer process times, which would be expected, to allow patient stabilization. The stabilization rate in the OBI was higher, since presumably OBI admission protected patients from “worse condition” at discharge. Conclusions: Data from our study show that a dedicated area of the ER, such as the OBI, has progressively allowed a change in the treatment path of the patient, where the aim is no longer to admit the patient for processing but to treat the patient first and then, if necessary, admit or refer. This has resulted in very good feedback on patient stabilization and has resulted in a better management of beds, reduced admission rates, and reduced use of high intensity care beds.

Adjusting Daily Inpatient Bed Allocation to Smooth Emergency Department Occupancy Variation

Study Objective: Overcrowding in emergency departments (ED) is an increasingly common problem in Taiwanese hospitals, and strategies to improve efficiency are in demand. We propose a bed resource allocation strategy to overcome the overcrowding problem. Method: We investigated ED occupancy using discrete-event simulation and evaluated the effects of suppressing day-to-day variations in ED occupancy by adjusting the number of empty beds per day. Administrative data recorded at the ED of Taichung Veterans General Hospital (TCVGH) in Taiwan with 1500 beds and an annual ED volume of 66,000 visits were analyzed. Key indices of ED quality in the analysis were the length of stay and the time in waiting for outward transfers to in-patient beds. The model is able to analyze and compare several scenarios for finding a feasible allocation strategy. Results: We compared several scenarios, and the results showed that by reducing the allocated beds for the ED by 20% on weekdays, the variance of daily ED occupancy was reduced by 36.25% (i.e., the percentage of reduction in standard deviation). Conclusions: This new allocation strategy was able to both reduce the average ED occupancy and maintain the ED quality indices.

Factors associated with inappropriate attendances at the emergency department of a tertiary hospital in Singapore

INTRODUCTION

Inappropriate attendances (IAs) at emergency departments (ED) are contributed by patients with mild or moderate medical conditions that can be effectively managed by primary care physicians. IAs strain limited ED resources and have an adverse impact on efficiency. This study aimed to identify factors associated with IA at the ED of a tertiary hospital in Singapore.

METHODS

We conducted a retrospective cohort study of all eligible visits to the aforementioned ED between 1 January 2015 and 31 December 2015. The appropriateness of each attendance was estimated using criteria based on investigations or procedures that were performed on the attendee and the discharge type of that attendance. IAs were then compared against appropriate attendances in these areas: attendee demographics; referral source; time of ED visit; proximity to ED and 24-hour general practitioner clinics; and history of ED visits in 2014. Multivariate analysis was performed on significant variables associated with IAs.

RESULTS

Among 120,606 attendances, 11,631 (9.6%) were IAs. Multivariate analysis showed that gender, ethnicity, referral source, time of ED visit, nationality and history of frequent visits to the ED were factors associated with IAs. Moreover, the odds of IA were found to be higher among attendees who were younger, were self-referred, or had at least one IA in 2014.

CONCLUSION

This study identified subgroups in the population who were more likely to contribute to IAs at the ED. These findings offer relevant insights into future research directions and strategies that might potentially reduce avoidable IAs.

Estrategias para la medición y el manejo de la sobreocupación de los servicios de urgencias de adultos en instituciones de alta complejidad con altos volúmenes de consulta. Revisión de la literatura

La sobreocupación de los servicios de urgencias es un problema global que cada vez afecta más las instituciones de salud que atienden pacientes de mediana y alta complejidad, haciendo que estos permanezcan más tiempo en una sala de espera con la consiguiente demora en los tiempos de atención, bajo nivel de satisfacción de los usuarios, retraso en la toma de ayudas diagnósticas, retrasos al definir altas del servicio y favorecimiento de complicaciones médicas, entre otros. Para mejorar esta situación se han desarrollado estrategias como la creación de unidades de observación, unidades fast track o asignación de citas prioritarias para los pacientes que no requieren una atención urgente, de modo adicional el triaje, los exámenes point of care y la vinculación de especialistas en medicina de urgencias. Todo esto con el fin de mejorar la calidad de la atención de los pacientes, evitar que se presenten eventos adversos durante su proceso y disminuir la sobreocupación del servicio.

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

BACKGROUND

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Substituting emergency services: primary care vs. hospital care

Overcrowding in emergency departments (EDs) is inefficient, especially if it is caused by inappropriate visits for which primary care physicians could be equally effective as a hospital ED. Our paper investigates the extent to which both ambulatory ED visits and inpatient ED admissions are substitutes for primary care emergency services (PCES) in Germany. We use extensive longitudinal data and fixed effects models. Moreover, we add interaction terms to investigate the influence of various determinants on the strength of the substitution. Our results show significant substitution between PCES and ambulatory ED visits. Regarding the determinants, we find the largest substitution for younger patients. The more accessible the hospital ED is, the significantly larger the substitution. Moreover, substitution is larger among better-educated patients. For inpatient ED admission, we find significant substitution that is eight times smaller than the substitution for ambulatory ED visits. With regard to the determinants, we find the strongest substitution for non-urgent, short-stay admission and elderly patients. Countries with no gate-keeping system (such as Germany) have difficulties redirecting the patients streaming to EDs. Our estimated elasticities can help policy makers to resolve this issue, as our findings indicate where incentivizing the utilization of PCES is particularly effective.

Emergency department crowding and length of stay before and after an increased catchment area

Background

Emergency department (ED) crowding and prolonged length of stay (LOS) are associated with delays in treatment, adverse outcomes and decreased patient satisfaction. Hospital restructuring and mergers are often associated with increased ED crowding. The aim of this study was to explore ED crowding and LOS in Norway’s largest ED before and after an increased catchment area.

Methods

The catchment area of Akershus University Hospital increased by approximately 150,000 inhabitants in 2011, from 340,000 to 490,000. In this retrospective study, admissions to the ED during a six-year period, from Jan 1st 2010 to Dec 31st 2015 were included and analyzed.

Results

A total of 179,989 admissions were included (51.0% men). The highest occupancy rate was in the age group 70–79 years. Following the increase in the catchment area, the annual ED admissions increased by 8343 (40.9%) from 2010 to 2011, and peaked in 2013 (34,002). Mean LOS increased from 3:59 h in 2010 to 4:17 in 2012 (highest), and decreased to 3:45 h in 2015 after staff, capacity and organizational measures. In 2010, 37.9% of the ED patients experienced crowding, and this proportion increased to between 52.9–77.6% in 2011–2015. Crowding peaked between 4 and 5 PM.

Conclusions

LOS increased and crowding was more frequent after a major increase in the hospital’s catchment area in Norway’s largest emergency department. Even after 5 years, the LOS was higher than before the expansion, mainly because of the throughput and output components, which were not properly adapted to the changes in input.

Electronic supplementary material

The online version of this article (10.1186/s12913-019-4342-4) contains supplementary material, which is available to authorized users.

Another Look at the Persistent Moral Problem of Emergency Department Crowding

This article revisits the persistent problem of crowding in US hospital emergency departments (EDs). It begins with a brief review of origins of this problem, terms used to refer to ED crowding, proposed definitions and measures of crowding, and causal factors. The article then summarizes recent studies that document adverse moral consequences of ED crowding, including poorer patient outcomes; increased medical errors; compromises in patient physical privacy, confidentiality, and communication; and provider moral distress. It describes several organizational strategies implemented to relieve crowding and implications of ED crowding for individual practitioners. The article concludes that ED crowding remains a morally significant problem and calls on emergency physicians, ED and hospital leaders, emergency medicine professional associations, and policymakers to collaborate on solutions.

Emergency overcrowding and access block: A smaller problem than we think

OBJECTIVES

Emergency department (ED) access block, the inability to provide timely care for high acuity patients, is the leading safety concern in First World EDs. The main cause of ED access block is hospital access block with prolonged boarding of inpatients in emergency stretchers. Cumulative emergency access gap, the product of the number of arriving high acuity patients and their average delay to reach a care space, is a novel access measure that provides a facility-level estimate of total emergency care delays. Many health leaders believe these delays are too large to be solved without substantial increases in hospital capacity. Our objective was to quantify cumulative emergency access blocks (the problem) as a fraction of inpatient capacity (the potential solution) at a large sample of Canadian hospitals.

METHODS

In this cross-sectional study, we collated 2015 administrative data from 25 Canadian hospitals summarizing patient inflow and delays to ED care space. Cumulative access gap for high acuity patients was calculated by multiplying the number of Canadian Triage Acuity Scale (CTAS) 1-3 patients by their average delay to reach a care space. We compared cumulative ED access gap to available inpatient bed hours to estimate fractional access gap.

RESULTS

Study sites included 16 tertiary and 9 community EDs in 12 cities, representing 1.79 million patient visits. Median ED census (interquartile range) was 66,300 visits per year (58,700-80,600). High acuity patients accounted for 70.7% of visits (60.9%-79.0%). The mean (SD) cumulative ED access gap was 46,000 stretcher hours per site per year (± 19,900), which was 1.14% (± 0.45%) of inpatient capacity.

CONCLUSION

ED access gaps are large and jeopardize care for high acuity patients, but they are small relative to hospital operating capacity. If access block were viewed as a "whole hospital" problem, capacity or efficiency improvements in the range of 1% to 3% could profoundly mitigate emergency care delays.

Factors associated with prolonged length of stay in the psychiatric emergency service

OBJECTIVE

Dedicated regional psychiatric emergency services (PES) were proposed as a better care model for psychiatric emergencies and a possible solution to boarding of psychiatric patients in the emergency department. However, there are limited data on factors associated with prolonged length of stay (LOS) in the PES. The objective of this study was finding factors associated with prolonged LOS in the PES and moving towards a solution to this problem.

METHODS

The study sample comprised 200 PES visits randomly chosen from January 2011 to December 2015 in a psychiatric hospital in Taiwan. Relevant data were collected comprehensively through the health information system and by reviewing medical records. The primary outcome was LOS longer than 24 hours while LOS longer than 48 hours was used as the secondary outcome.

RESULTS

Mean LOS was 17.6±23.2 hours, with 53 (26.5%) visits lasting more than 24 hours and 15 (7.5%) visits lasting more than 48 hours. After adjusting for related confounders, LOS longer than 24 hours was associated with use of restraints in the PES (adjusted odds ratio (aOR) = 3.13, 95% CI = 1.59-6.15) and history of illicit substance use (aOR = 2.46, 95% CI = 1.11-5.44). LOS longer than 48 hours was associated with use of restraints in the PES (aOR = 4.11, 95% CI = 1.2-14.14), history of illicit substance use (aOR = 6.16, 95% CI = 1.37-27.62) and first time visit to the hospital (aOR = 8.54, 95% CI = 2.03-35.96). Neither outcome was associated with transfer to an inpatient unit.

CONCLUSION

Prolonged LOS was common in the study sample. Discharged patients had an equally high rate of prolonged LOS as admitted patients. Therefore measures should be taken to facilitate timely discharge. Use of restraints and history of illicit substance use were common among patients with prolonged LOS.

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

Introduction

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

Methods

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

Results

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

Conclusion

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

Rapid Patient Discharge Contribution to Bed Surge Capacity During a Mass Casualty Incident: Findings From an Exercise With New York City Hospitals

BACKGROUND

Mass casualty incidents may increase patient volume suddenly and dramatically, requiring hospitals to expeditiously manage bed inventories to release acute care beds for disaster victims. Electronic patient tracking systems combined with unit walk-throughs can identify patients for rapid discharge. The New York City (NYC) Department of Health and Mental Hygiene's 2013 Rapid Patient Discharge Assessment (RPDA) aimed to determine the maximum number of beds NYC hospitals could make available through rapid patient discharge and to characterize discharge barriers.

METHODS

Unit representatives identified discharge candidates within normal operations in round 1 and additional discharge candidates during a disaster scenario in round 2. Descriptive statistics were performed.

RESULTS

Fifty-five NYC hospitals participated in the RPDA exercise; 45 provided discharge candidate counts in both rounds. Representatives identified 4225 patients through the RPDA: among these, 1138 (26.9%) were already confirmed for discharge; 1854 (43.9%) were round 1 discharge candidates; and 1233 (29.2%) were round 2 discharge candidates. These 4225 patients represented 21.4% of total bed capacity. Frequently reported barriers included missing prescriptions for aftercare or discharge orders.

CONCLUSION

The NYC hospitals could implement rapid patient discharge to clear one-fifth of occupied inpatient beds for disaster victims, given they address barriers affecting patients' safe and efficient discharge.

Failure to flow: An exploration of learning and teaching in busy, multi-patient environments using an interpretive description method

INTRODUCTION

As patient volumes continue to increase, more attention must be paid to skills that foster efficiency without sacrificing patient safety. The emergency department is a fertile ground for examining leadership and management skills, especially those that concern prioritization in multi-patient environments. We sought to understand the needs of emergency physicians (EPs) and emergency medicine junior trainees with regards to teaching and learning about how best to handle busy, multi-patient environments.

METHOD

A cognitive task analysis was undertaken, using a qualitative approach to elicit knowledge of EPs and residents about handling busy emergency department situations. Ten experienced EPs and 10 junior emergency medicine residents were interviewed about their experiences in busy emergency departments. Transcripts of the interviews were analyzed inductively and iteratively by two independent coders using an interpretive description technique.

RESULTS

EP teachers and junior residents differed in their perceptions of what makes an emergency department busy. Moreover, they focused on different aspects of patient care that contributed to their busyness: EP teachers tended to focus on volume of patients, junior residents tended to focus on the complexity of certain cases. The most important barrier to effective teaching and learning of managerial skills was thought to be the lack of faculty development in this skill set.

CONCLUSIONS

This study presents qualitative data that helps us elucidate how patient volumes affect our learning environments, and how clinical teachers and residents operate within these environments.

Classification of hospital admissions into emergency and elective care: a machine learning approach

Rising admissions from emergency departments (EDs) to hospitals are a primary concern for many healthcare systems. The issue of how to differentiate urgent admissions from non-urgent or even elective admissions is crucial. We aim to develop a model for classifying inpatient admissions based on a patient's primary diagnosis as either emergency care or elective care and predicting urgency as a numerical value. We use supervised machine learning techniques and train the model with physician-expert judgments. Our model is accurate (96%) and has a high area under the ROC curve (>.99). We provide the first comprehensive classification and urgency categorization for inpatient emergency and elective care. This model assigns urgency values to every relevant diagnosis in the ICD catalog, and these values are easily applicable to existing hospital data. Our findings may provide a basis for policy makers to create incentives for hospitals to reduce the number of inappropriate ED admissions.

Reverse triage: more than just another method

Reverse triage is a way to rapidly create inpatient surge capacity by identifying hospitalized patients who do not require major medical assistance for at least 96 h and who only have a small risk for serious complications resulting from early discharge. Electronic searches were conducted in the MEDLINE, TRIP, Cochrane Library, CINAHL, EMBASE, Web of Science, and SCOPUS databases to identify relevant publications published from 2004 to 2014. The reference lists of all relevant articles were screened for additional relevant studies that might have been missed in the primary searches. There will always be small individual differences in the reverse triage decision process, influencing the potential effect on surge capacity, but at most, 10-20% of hospital total bed capacity can be made available within a few hours. Reverse triage could be a response to Emergency Department (ED) crowding, as it gives priority to ED patients with urgent needs over inpatients who can be discharged with little to no health risks. The early discharge of inpatients entails negative consequences. They often return to the ED for further assessment, treatment, and even readmission. When time to a medical referral or bed is less than 4-6 h, 100 additional lives per annum are predicted to be potentially saved. The results of our systematic review identified only a small number of publications addressing reverse triage, indicating that reverse triage and surge capacity are relatively new subjects of research within the medical field. Not all research questions could be fully answered.

The effect on the patient flow in a local health care after implementing reverse triage in a primary care emergency department: a longitudinal follow-up study

OBJECTIVE

Reverse triage means that patients who are not considered to be in need of medical services are not placed on the doctor's list in an emergency department (ED) but are sent, after face-to-face evaluation by a triage nurse, to a more appropriate health care unit. It is not known how an abrupt application of such reverse triage in a combined primary care ED alters the demand for doctors' services in collaborative parts of the health care system.

DESIGN

An observational study.

SETTING

Register-based retrospective quasi-experimental longitudinal follow-up study based on a before-after setting in a Finnish city.

SUBJECTS

Patients who consulted different doctors in a local health care unit.

MAIN OUTCOME MEASURES

Numbers of monthly visits to different doctor groups in public and private primary care, and numbers of monthly referrals to secondary care ED from different sources of primary care were recorded before and after abrupt implementation of the reverse triage.

RESULTS

The beginning of reverse triage decreased the number of patient visits to a primary ED doctor without increasing mortality. Simultaneously, there was an increase in doctor visits in the adjacent secondary care ED and local private sector. The number of patients who came to secondary care ED without a referral or with a referral from the private sector increased.

CONCLUSIONS

The data suggested that the reverse triage causes redistribution of the use of doctors' services rather than a true decrease in the use of these services.

The Economics of an Admissions Holding Unit

Introduction

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

Methods

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

Results

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

Conclusion

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

Overcrowding in emergency departments: A review of strategies to decrease future challenges

Emergency departments (EDs) are the most challenging ward with respect to patient delay. The goal of this study is to present strategies that have proven to reduce delay and overcrowding in EDs. In this review article, initial electronic database search resulted in a total of 1006 articles. Thirty articles were included after reviewing full texts. Inclusion criteria were assessments of real patient flows and implementing strategies inside the hospitals. In this study, we discussed strategies of team triage, point-of-care testing, ideal ED patient journey models, streaming, and fast track. Patients might be directed to different streaming channels depending on clinical status and required practitioners. The most comprehensive strategy is ideal ED patient journey models, in which ten interrelated substrategies are provided. ED leaders should apply strategies that provide a continuous care process without deeply depending on external services.

Development of a novel information and communication technology system to compensate for a sudden shortage of emergency department physicians

Background

A sudden shortage of physician resources due to overwhelming patient needs can affect the quality of care in the emergency department (ED). Developing effective response strategies remains a challenging research area. We created a novel system using information and communication technology (ICT) to respond to a sudden shortage, and tested the system to determine whether it would compensate for a shortage.

Methods

Patients (n = 4890) transferred to a level I trauma center in Japan during 2012–2015 were studied. We assessed whether the system secured the necessary physicians without using other means such as phone or pager, and calculated fulfillment rate by the system as a primary outcome variable. We tested for the difference in probability of multiple casualties among total casualties transferred to the ED as an indicator of ability to respond to excessive patient needs, in a secondary analysis before and after system introduction.

Results

The system was activated 24 times (stand-by request [n = 12], attendance request [n = 12]) in 24 months, and secured the necessary physicians without using other means; fulfillment rate was 100%. There was no significant difference in the probability of multiple casualties during daytime weekdays hours before and after system introduction, while the probability of multiple casualties during night or weekend hours after system introduction significantly increased compared to before system introduction (4.8% vs. 12.9%, P < 0.0001). On the whole, the probability of multiple casualties increased more than 2 times after system introduction 6.2% vs. 13.6%, P < 0.0001).

Discussion

After introducing the system, probability of multiple casualties increased. Thus the system may contribute to improvement in the ability to respond to sudden excessive patient needs in multiple causalities.

Conclusions

A novel system using ICT successfully secured immediate responses from needed physicians outside the hospital without increasing user workload, and increased the ability to respond to excessive patient needs. The system appears to be able to compensate for a shortage of physician in the ED due to excessive patient transfers, particularly during off-hours.

Door-to-Imaging Time for Acute Stroke Patients Is Adversely Affected by Emergency Department Crowding

Background and Purpose—

National guidelines call for door-to-imaging time (DIT) within 25 minutes for suspected acute stroke patients. Studies examining factors that affect DIT have focused primarily on stroke-specific care processes and patient-specific factors. We hypothesized that emergency department (ED) crowding is associated with longer DIT.

Methods—

We conducted a retrospective investigation of 1 year of consecutive patients in our prospective Code Stroke registry, which included all ED stroke team activations. The registry and electronic health records were abstracted for 27 potential predictors of DIT, including patient, stroke care process, and ED operational factors. We fit a multivariate logistic regression model and calculated odds ratios and 95% confidence intervals. Second, we constructed a random forest recursive partitioning model to cross-validate our findings and explore the proportional importance of each category of predictor. Our primary outcome was the binary variable of DIT within the 25-minute goal.

Results—

A total of 463 patients met inclusion criteria. In the regression model, ED occupancy rate emerged as a predictor of DIT, with odds ratio of 0.83 (95% confidence interval, 0.75–0.91) of DIT within 25 minutes per 10% absolute increase in ED occupancy rate. The secondary analysis estimated that ED operational factors accounted for nearly 14% of the algorithm’s prediction of DIT.

Conclusions—

ED crowding is associated with reduced odds of meeting DIT goals for acute stroke. In addition to improving stroke-specific processes of care, efforts to reduce ED overcrowding should be considered central to optimizing the timeliness of acute stroke care.

Implementing Triage Standing Orders in the Emergency Department Leads to Reduced Physician-to-Disposition Times

Emergency departments (EDs) throughout USA have improvised various processes to curb the “national epidemic” termed ED “crowding.” Standing orders (SOs), one such process, are medical orders approved by the medical director and entered by nurses when patients cannot be seen expeditiously, expediting medical decision-making and decreasing length of stay (LOS) and time to disposition. This retrospective cohort study evaluates the impact of SOs on ED LOS and disposition time at a large university ED. Results indicate that SOs significantly improve ED throughput by reducing disposition time by up to 16.9% (p=0.04), which is especially significant in busy ED settings. SOs by themselves are not sufficient for a complete diagnostic assessment. Strategies such as having a provider in the waiting area may help make key decisions earlier.

The Association Between Emergency Department Crowding and the Disposition of Patients With Transient Ischemic Attack or Minor Stroke

BACKGROUND

Emergency department (ED) crowding has been associated with adverse events, including short-term death and hospitalization among discharged patients. The mechanisms are poorly understood, but may include altered physician decision-making about ED discharge of higher-risk patients. One example is patients with transient ischemic attack (TIA) and minor stroke, who are at high risk of subsequent stroke. While hospitalization is frequently recommended, little consensus exists on which patients require admission.

OBJECTIVES

The authors sought to determine the association of ED crowding with the disposition of patients with minor stroke or TIA.

METHODS

This was a retrospective cohort study of prospectively collected data from the Registry of the Canadian Stroke Network at 12 EDs in Ontario, Canada, between 2003 and 2008, linked to administrative health databases. A hierarchical logistic regression model was used to determine the association between crowding at the time the patient was seen in the ED (defined as mean ED length of stay) and patient disposition (admission/discharge), after adjusting for patient and hospital-level variables.

RESULTS

The study cohort included 9,759 patients (4,607 with TIA and 5,152 with minor stroke); 49.5% were discharged from the ED. The mean (±SD) age of study patients was 70.78 (±13.40) years, with 52.9% being male, 37.3% arriving by emergency medical services, and 92.3% triaged as emergent or urgent. Greater severity of ED crowding was associated with a lower likelihood of discharge, regardless of ED size.

CONCLUSIONS

These results suggest that crowding may influence clinical decision-making in the disposition of patients with TIA or minor stroke and that, as crowding worsens, the likelihood of hospitalization increases.

Emergency nurses' experience of crisis: A qualitative study

AIM

A crisis is an environment created in a rapidly changing and chaotic work setting which is found in a busy emergency department of a hospital with higher intensity. The objective of this study was to define and explore emergency room nurses' description of crisis in critical situations and to identify barriers and mitigating factors that affect how nurses handle crises.

METHODS

This study is a qualitative research with a content analysis approach. Eighteen emergency nurses were purposefully selected to take part in this study. Data collection was through face-to-face semistructured interviews until data saturation was finalized. Data analysis was conducted using content analysis.

RESULTS

The data analysis consisted of four main categories: (i) loss of balance; (ii) crisis control (anticipation-preparation, resource control, control skills, and supporting nurses); (iii) human factors related to staff (sufficient staff, competent staff, individual characteristics, ability to communicate); and (iv) teamwork (cooperation and reciprocal trust).

CONCLUSION

Findings showed the meaning of the crisis and challenges and issues faced by emergency nurses throughout the crisis. Health services authorities can use these results to make comprehensive plans in order to reduce emergency crises.

Association of the Ottawa Aggressive Protocol with rapid discharge of emergency department patients with recent-onset atrial fibrillation or flutter

Objective:

There is no consensus on the optimal management of recent-onset episodes of atrial fibrillation or flutter. The approach to these conditions is particularly relevant in the current era of emergency department (ED) overcrowding. We sought to examine the effectiveness and safety of the Ottawa Aggressive Protocol to perform rapid cardioversion and discharge patients with these arrhythmias.

Methods:

This cohort study enrolled consecutive patient visits to an adult university hospital ED for recent-onset atrial fibrillation or flutter managed with the Ottawa Aggressive Protocol. The protocol includes intravenous chemical cardioversion, electrical cardioversion if necessary and discharge home from the ED.

Results:

A total of 660 patient visits were included, 95.2% involving atrial fibrillation and 4.9% involving atrial flutter. The mean age of patients enrolled was 64.5 years. In total, 96.8% were discharged home and, of those, 93.3% were in sinus rhythm. All patients were initially administered intravenous procaïnamide, with a 58.3% conversion rate. A total of 243 patients underwent subsequent electrical cardioversion with a 91.7% success rate. Adverse events occurred in 7.6% of cases: hypotension 6.7%, bradycardia 0.3% and 7-day relapse 8.6%. There were no cases of torsades de pointes, stroke or death. The median lengths of stay in the ED were as follows: 4.9 hours overall, 3.9 hours for those undergoing conversion with procaïnamide and 6.5 hours for those requiring electrical conversion.

Conclusion:

This is the largest study to date to evaluate the Ottawa Aggressive Protocol, a unique approach to cardioversion for ED patients with recent-onset episodes of atrial fibrillation and flutter. Our data demonstrate that the Ottawa Aggressive Protocol is effective, safe and rapid, and has the potential to significantly reduce hospital admissions and expedite ED care.

Pediatric Disposition Classification (Reverse Triage) System to Create Surge Capacity

BACKGROUND

Critically insufficient pediatric hospital capacity may develop during a disaster or surge event. Research is lacking on the creation of pediatric surge capacity. A system of "reverse triage," with early discharge of hospitalized patients, has been developed for adults and shows great potential but is unexplored in pediatrics.

METHODS

We conducted an evidence-based modified-Delphi consensus process with 25 expert panelists to derive a disposition classification system for pediatric inpatients on the basis of risk tolerance for a consequential medical event (CME). For potential validation, critical interventions (CIs) were derived and ranked by using a Likert scale to indicate CME risk should the CI be withdrawn or withheld for early disposition.

RESULTS

Panelists unanimously agreed on a 5-category risk-based disposition classification system. The panelists established upper limit (mean) CME risk for each category as <2% (interquartile range [IQR]: 1-2%); 7% (5-10%), 18% (10-20%), 46% (20-65%), and 72% (50-90%), respectively. Panelists identified 25 CIs with varying degrees of CME likelihood if withdrawn or withheld. Of these, 40% were ranked high risk (Likert scale mean ≥7) and 32% were ranked modest risk (≤3).

CONCLUSIONS

The classification system has potential for an ethically acceptable risk-based taxonomy for pediatric inpatient reverse triage, including identification of those deemed safe for early discharge during surge events.

Rapid follow-up for patients after psychiatric crisis

Patients in psychiatric crisis often lack connection to community resources and present to emergency departments (EDs) for care. A transitional psychiatry clinic (TPC) bridged patients after ED visit. These retrospective chart review data of 390 patients were analyzed by ANOVA, logistic regression and survival analysis. Predictors of ED return included psychosis, personality disorder and increased number of prior ED visits. Longer wait for the TPC was associated strongly with non-attendance. TPC appointment within 3 days was associated with significantly longer time in the community without ED presentation. Rapid follow-up after ED visits increased attendance at aftercare and lengthens community tenure.

A cost sensitive inpatient bed reservation approach to reduce emergency department boarding times

Emergency departments (ED) in hospitals are experiencing severe crowding and prolonged patient waiting times. A significant contributing factor is boarding delays where admitted patients are held in ED (occupying critical resources) until an inpatient bed is identified and readied in the admit wards. Recent research has suggested that if the hospital admissions of ED patients can be predicted during triage or soon after, then bed requests and preparations can be triggered early on to reduce patient boarding time. We propose a cost sensitive bed reservation policy that recommends optimal bed reservation times for patients. The policy relies on a classifier that estimates the probability that the ED patient will be admitted using the patient information collected and readily available at triage or right after. The policy is cost sensitive in that it accounts for costs associated with patient admission prediction misclassification as well as costs associated with incorrectly selecting the reservation time. Results from testing the proposed bed reservation policy using data from a VA Medical Center are very promising and suggest significant cost saving opportunities and reduced patient boarding times.

"Not so fast!" the complexity of attempting to decrease door-to-floor time for emergency department admissions

BACKGROUND

Successful quality improvement is fundamental to high-performing health care systems, but becomes increasingly difficult as systems become more complex. Previous attempts at the University of California, San Francisco (UCSF) Medical Center to reduce door-to-floor (D2F) time -the time required to move an ill patient through the emergency department (ED) to an appropriate inpatient bed-had not resulted in meaningful improvement. An analysis of why attempts at decreasing D2F times in the ED had failed, with attention to contextual factors, yields recommendations on how to decrease D2F time.

METHODS

A team of 11 internal medicine residents, in partnership with the Patient Flow Executive Steering Committee, performed a literature review, process mapping, and analysis of the admissions process. The team conducted interviews with medical center staff across disciplines, members of high-performing patient care units, and leaders of peer institutions who had undertaken similar efforts.

FINDINGS AND RECOMMENDATIONS

Each of the following three domains-(1) Improving Work Flow, (2) Changing Culture, and (3) Understanding Incentives-is independently an important source of resistance and opportunity. However, the improvement work and understanding of complexity science suggest that all three domains must be addressed simultaneously to effect meaningful change. Recommendations include eliminating redundant and frustrating processes; encouraging multidisciplinary collaboration; fostering trust between departments; providing feedback on individual performance; enhancing provider buy-in; and, ultimately, uniting staff behind a common goal.

CONCLUSION

By conceptualizing the hospital as a complex adaptive system, multiple interrelated groups can be encouraged to work together and accomplish a common goal.