Background: Emergency department (ED) crowding is a widespread issue with adverse effects on patient care and outcomes. Local problem: ED crowding exacerbates wait times and compromises patient care, prompting opportunities for internal process improvement. Method: Over one week, the ED flow project team implemented four interventions, including an additional triage station, to optimize patient flow. We compared triage times, length of stay, crowding levels, and patient experiences with two control periods. Results: During peak hours, waiting times to triage decreased significantly with a median of 20 min (IQR 15–30) in the project week and 26 min (IQR 18–37) in the control weeks. Self-referrals decreased, while general practitioner referrals remained unchanged. Individual patient length of stay was unaffected, but crowding reduced notably during the project week. We found no difference in patient experiences between the periods. Conclusion: The interventions contributed to reduced crowding and improved patient flow. The dedication of the ED flow project team and the ED nurses was crucial to these outcomes. An additional triage station during peak hours in the ED was established as a structural change.

Background: Preparations for Covid-19 in the Netherlands included hospital reconfigurations to increase capacity for the expected surge at the emergency department (ED). We describe patients’ ED length of stay (LOS), crowding and experiences of patients with respiratory complaints during the first Covid-19 peak. Methods: Retrospective analysis of demand, ED LOS, crowding, and a patient experience survey during a 12-week period in 2020 and similar periods in 2018 and 2019. Crowding levels were calculated using the National ED OverCrowding Scale. Results: The number of patients with respiratory complaints increased significantly, while total ED numbers were unchanged. Although presentation during the Covid-19 peak and needing hospital admission were associated with a longer ED LOS in patients with respiratory complaints, significantly less crowding occurred compared with the 2018 and 2019 periods. Increased ED LOS was associated with lower patient experience scores. Conclusion: Advanced warning and its associated preparation within the hospital and the community prevented significant delays in ED throughput during the first Covid-19 peak.

BACKGROUND: In patients with chest pain who arrive at the emergency department (ED) by ambulance, venous access is frequently established prehospital, and could be utilized to sample blood. Prehospital blood sampling may save time in the diagnostic process. In this study, the association of prehospital blood draw with blood sample arrival times, troponin turnaround times, and ED length of stay (LOS), number of blood sample mix-ups and blood sample quality were assessed. METHODS: The study was conducted from October 1, 2019 to February 29, 2020. In patients who were transported to the ED with acute chest pain with low suspicion for acute coronary syndrome (ACS), outcomes were compared between cases, in whom prehospital blood draw was performed, and controls, in whom blood was drawn at the ED. Regression analyses were used to assess the association of prehospital blood draw with the time intervals. RESULTS: Prehospital blood draw was performed in 100 patients. In 406 patients, blood draw was performed at the ED. Prehospital blood draw was independently associated with shorter blood sample arrival times, shorter troponin turnaround times and decreased LOS (P<0.001). No differences in the number of blood sample mix-ups and quality were observed (P>0.05). CONCLUSION: For patients with acute chest pain with low suspicion for ACS, prehospital blood sampling is associated with shorter time intervals, while there were no significant differences between the two groups in the validity of the blood samples.

Background: During a 6-year period, several process changes were introduced at the emergency department (ED) to decrease crowding, such as the implementation of a general practitioner cooperative (GPC) and additional medical staff during peak hours. In this study, we assessed the effects of these process changes on three crowding measures: patients’ length of stay (LOS), the modified National ED OverCrowding Score (mNEDOCS), and exit block while taking into account changing external circumstances, such as the COVID-19 pandemic and centralization of acute care. Methods: We determined time points of the various interventions and external circumstances and built an interrupted time-series (ITS) model per outcome measure. We analyzed changes in level and trend before and after the selected time points using ARIMA modeling, to account for autocorrelation in the outcome measures. Results: Longer patients’ ED LOS was associated with more inpatient admissions and more urgent patients. The mNEDOCS decreased with the integration of the GPC and the expansion of the ED to 34 beds and increased with the closure of a neighboring ED and ICU. More exit blocks occurred when more patients with shortness of breath and more patients > 70 years of age presented to the ED. During the severe influenza wave of 2018–2019, patients’ ED LOS and the number of exit blocks increased. Conclusions: In the ongoing battle against ED crowding, it is pivotal to understand the effect of interventions, corrected for changing circumstances and patient and visit characteristics. In our ED, interventions which were associated with decreased crowding measures included the expansion of the ED with more beds and the integration of the GPC on the ED.

When acute stroke care is organised using a “drip-and-ship” model, patients receive immediate treatment at the nearest primary stroke centre followed by transfer to a comprehensive stroke centre (CSC). When stroke care is further centralised into the “direct-to-mothership” model, patients with stroke symptoms are immediately brought to a CSC to further reduce treatment times and enhance stroke outcomes. We investigated the effects of the ongoing centralization in a Dutch urban setting on treatment times of patients with confirmed ischemic stroke in a 4-year period. Next, in a non-randomized controlled trial, we assessed treatment times of patients with suspected ischemic stroke, and treatment times of patients with neurologic disorders other than suspected ischemic stroke, before and after the intervention in the CSC and the decentralized hospitals, the intervention being the change from “drip and ship” into “direct-to-mothership”. Our findings provide support for the ongoing centralization of acute stroke care in urban areas. Treatment times for patients with ischemic stroke decreased significantly, potentially improving functional outcomes. Improvements in treatment times for patients with suspected ischemic stroke were achieved without negative side effects for self-referrals with stroke symptoms and patients with other neurological disorders.

For patients with acute ischaemic stroke, faster recanalisation improves the chances of a disability-free life and a quick discharge from the hospital. Hospital discharge, certainly after suffering a major life-changing event such as a stroke, is a complex and vulnerable phase in the patient's journey. Elderly are particularly vulnerable to the stressors caused by hospitalisation. Recently hospitalised patients are not only recovering from their acute illness; they also experience a period of generalised risk for a range of adverse events. At the same time, elderly generally prefer living in their own homes and should be discharged from the hospital and return home as quickly as possible. Both premature and delayed discharge are potential threats to patient well-being. We present a 90-year-old patient who underwent successful thrombectomy but suffered from night-time confusion at the hospital and discuss the transition process from hospital to home.

Background Heatwaves have been linked to increased risk of mortality and morbidity and are projected to increase in frequency and intensity due to climate change. The current study uses emergency department (ED) data from Australia, Botswana, Netherlands, Pakistan, and the United States of America to evaluate the impact of heatwaves on ED attendances, admissions and mortality. Methods Routinely collected time series data were obtained from 18 hospitals. Two separate thresholds (4 and 7) of the acclimatisation excess heat index (EHIaccl) were used to define “hot days”. Analyses included descriptive statistics, independent samples T-tests to determine differences in case mix between hot days and other days, and threshold regression to determine which temperature thresholds correspond to large increases in ED attendances. Findings In all regions, increases in temperature that did not coincide with time to acclimatise resulted in increases in ED attendances, and the EHIaccl performed in a similar manner. During hot days in California and The Netherlands, significantly more children ended up in the ED, while in Pakistan more elderly people attended. Hot days were associated with more patient admissions in the ages 5–11 in California, 65–74 in Karachi, and 75–84 in The Hague. During hot days in The Hague, patients with psychiatric symptoms were more likely to die. The current study did not identify a threshold temperature associated with particularly large increases in ED demand. Interpretation The association between heat and ED demand differs between regions. A limitation of the current study is that it does not consider delayed effects or influences of other environmental factors. Given the association between heat and ED use, hospitals and governmental authorities should recognise the demands that heat can place on local health care systems. These demands differ substantially between regions, with Pakistan being the most heavily affected within our study sample.

Objective: The aim of this study was to describe the impact of additional medical specialists, non-emergency physicians (non-EPs), performing direct supervision or a combination of direct and indirect supervision at an EP-led emergency department (ED), on patient flow and satisfaction. Patients and methods: An observational, cross-sectional, three-part study was carried out including staff surveys (n=379), a before and after 16-week data collection using data of visits during the peak hours (n=5270), and patient questionnaires during 1 week before the pilot and during week 5 of the pilot. Content analysis and descriptive statistics were used for analyses. Results: The value of being present at the ED was acknowledged by medical specialists in 49% of their surveys and 35% of the EPs' and ED nurses' surveys, especially during busy shifts. Radiologists were most often (67.3%) convinced of their value of being on-site, which was agreed upon by the ED professionals. Perceived improved quality of care, shortening of length of stay, and enhanced peer consultation were mentioned most often. During the pilot period, length of stay of boarded patients decreased from 197 min (interquartile range: 121 min) to 181 min (interquartile range: 113 min, P=0.006), and patient recommendation scores increased from -15 to +20. Conclusion: Although limited by the mix of direct and indirect supervision, our results suggest a positive impact of additional medical specialists during busy shifts. Throughput of admitted patients and patient satisfaction improved during the pilot period. Whether these findings differ between direct supervision and combination of direct and indirect supervision by the medical specialists requires further investigation.

Objective: To describe the numbers and length of stay (LOS) of patients with mental health (MH) problems at a Dutch emergency department (ED) and the effect of a psychiatric intervention team (PIT) on patient flow. Methods: A longitudinal design was used to assess number of MH presentations and LOS during a 3-year period (2014–2016). In 2017, we introduced a PIT during ED peak hours, to reduce LOS for patients with MH problems. We evaluate the effects of the PIT on patients’ LOS with an 18-month before and after intervention study (2017–2018). Results: Total number of ED presentations increased with 4%. Total number of MH presentations increased with 23% from 2014 to 2016. LOS increased by 28 min (95 min vs. 123 min) for all presentations, while not changing for MH presentations (2014: 195 min, interquartile range (IQR) 120–293 and 2016: 190 min, IQR 116–296). In the before and after intervention study, number of MH presentations increased with 36% while LOS decreased with 46 min (p < 0.001). Conclusions: The number of MH presentations increased over the three years while LOS remained similar. In the before and after intervention study, number of presentations increased even more while LOS decreased significantly. Specialist psychiatric input reduces ED LOS.

Introduction: Abdominal pain has a wide range of possible causes, which may lead to difficulties in diagnosing and lengthy Emergency Department (ED) stays. In this study, bottlenecks in ED processes of patients with abdominal pain were identified. Methods: Time-points of patients who presented to a Dutch ED with abdominal pain were observed and documented. The institutional review board approved the study. Results: In total, 3015 min of patient time were observed in 54 patients. Median length of stay (LOS) was 218 min for admitted patients, and 168 min for discharged patients. For 65 patients (27.4%), LOS exceeded 4 h. Delays were found during the diagnostic process, when multiple physicians were needed in order to make a decision, and during departure. Conclusions: Our study concerning individual patients’ time-points provides important insight into delays in the patient journey of patients with abdominal pain. Flow improvement can be achieved by focusing on these bottlenecks, for example by minimizing diagnostic delays and by simultaneous specialists’ consultations for patients who need more than one physician. The optimization of ED flow for patients with abdominal pain depends on coordinated efforts between ED staff, medical specialists, radiology and laboratory staff, staff from inpatient units, and hospital supporting services.

Introduction: Previous studies indicate that crowding scales may not perform well in low-volume emergency departments (EDs). In this study, face-validity of the Modified National ED OverCrowding Score (mNEDOCS) was assessed in a high-volume ED as well as in a low-volume ED. Methods: A prospective observational cohort study was performed in the Netherlands. The correlation of the mNEDOCS with ED staff perceptions of crowding were assessed, using weighted Kappa (κ) and Pearson correlation. Subsequently, ED process measures (elapsed target times to triage, elapsed target times to treatment and patients’ LOS) were described under different levels of ED crowding. Results: Correlation between the categorized crowding scores was low (weighted κ 0.34 resp. 0.26). However, good correlations of 0.73 and 0.82 were found between the uncategorized mNEDOCS and ED staff's perception of crowding. Percentages of patients with elapsed target times to treatment increased simultaneously with increasingly busy periods when measured with mNEDOCS. Conclusions: The uncategorized mNEDOCS correlates well with perceived crowding, even at a low-volume ED. Determining a cut-off level at which a specific ED can be identified as crowded is important, because the predefined mNEDOCS categories may not be optimal for all EDs.

Background: Emergency departments (EDs) worldwide face crowding, which hampers patient flow. In this study, the impact of a dedicated neurologist present at the ED on patient flow during out-of-office hours was assessed. Methods: A cross-sectional, mixed methods study was undertaken at a Dutch ED, including a pre-post analysis of data of patients who had a primary neurological disease (n = 458) and staff surveys (n = 152). Descriptive statistics and content analysis were used for analyses. Results: Despite a 36% increase in the number of neurological patients (control period: n = 194, intervention period n = 264), a 30 min per patient decrease in ED median length of stay (LOS) was reached during the intervention period. Furthermore, the admission percentage decreased significantly (57.7% in the control period vs. 47.7% in the intervention period, p = 0.03). During half of the shifts neurologists stated that their presence had been valuable. Perceived reasons for this added value mentioned were improved quality of care, enhanced throughput of patients, and quicker consultations with other medical specialists. Conclusions: In our hypothesis-generating study, a dedicated neurologist present at the ED during out-of-office hours was associated with decreased patients’ LOS and a decreased admission percentage, indicating increased decisiveness when the neurologist is present at the ED.

Introduction Emergency department (ED) crowding is a worldwide public health issue. In this study, patient flow and staff perceptions of crowding were assessed in Pakistan (Aga Khan University Hospital (AKUH)) and in the Netherlands (Haaglanden Medical Centre Westeinde (HMCW)). Bottlenecks affecting ED patient flow were identified. Methods First, a one-year review of patient visits was performed. Second, staff perceptions about ED crowding were collected using face-to-face interviews. Non-participant observation and document review were used to interpret the findings. Results At AKUH 58,839 (160 visits/day) and at HMCW 50,802 visits (140 visits/day) were registered. Length of stay (LOS) at AKUH was significantly longer than at HMCW (279 min (IQR 357) vs. 100 min (IQR 152)). There were major differences in patient acuities, admission and mortality rates, indicating a sicker population at AKUH. Respondents from both departments experienced hampered patient flow on a daily basis, and perceived similar causes for crowding: increased patients’ complexity, long treatment times, and poor availability of inpatient beds. Conclusion Despite differences in environment, demographics, and ED patient flow, respondents perceived similar bottlenecks in patient flow. Interventions should be tailored to specific ED and hospital needs. For both EDs, improving the outflow of boarded patients is essential.

Introduction During emergency department (ED) crowding there is an imbalance between the need for emergency care and available resources. We assessed the impact of crowding on the triage process. Methods A 1-year health records review of 49,539 patient visits was performed. Data extracted included: occupancy ratio, ED occupancy, demographics, length of stay (LOS), time to triage, triage score, years working as a triage nurse, and triage destination. Data were analyzed using descriptive statistics and regression analyses. Results During crowding, target times to triage elapsed more often than during non-crowding (49.7% vs. 24.9%, P < 0.001), and more patients were not triaged (2.2% vs. 1.6%, P < 0.001). A higher ED occupancy was associated with longer waiting times for triage and longer LOS (P < 0.001). There were 12,627 (25.5%) patients redirected to the general practitioner cooperative (GPC). No association between level of crowdedness and number of patients who were redirected to the GPC was found (P = 0.122). Redirection to the GPC occurred significantly more often when the triage nurse had more years working as a triage nurse (P < 0.001). Conclusion At this hospital, crowding affects the triage process, leading to longer waiting times to triage and longer ED LOS. Crowding did not influence triage destination.

Background The impact of delays in emergency department (ED) care has not been described in European countries where ED crowding is not universally recognized. The aim of this study was to determine the relationship of ED crowding with delays in triage and treatment, and 24-h mortality in patients admitted to the ED. Methods Five years of data from adults admitted to the hospital were analysed retrospectively from an inner-city ED in the Netherlands. Variables included the following: crowded versus noncrowded time, time to triage, triage category, time to treatment, age, 24-h mortality and 10-day mortality. Results A total of 39 110 patients met the inclusion criteria. ED crowding occurred 30.8% of the time. There were no differences in mortality between patients arriving during crowding versus those arriving during noncrowding. Delays in triage during ED crowding occurred 29.7% of the time versus 14.6% during noncrowding. Delays in treatment occurred 11.7 and 7.3% of the time during crowding and noncrowding, respectively. Conclusion In this hospital, ED crowding results in increased times to triage and to treatment, not in increased 24-h or 10-day mortality.

OBJECTIVES: The aim of this study was to assess the walkout rate and to identify influencing patient and visit characteristics on walkout. Furthermore, we assessed the reasons for leaving and medical care needs after leaving.
METHODS: In a 4-month population-based cohort study, the characteristics and influencing factors of walkout from two emergency departments in the Netherlands were studied. Afterwards, a follow-up telephone interview was conducted to assess the reasons for leaving and medical care needed.
RESULTS: A total of 169 out of 23 780 (0.7%) registered patients left without treatment, of whom 62% left after triage. Of the triaged walkouts, 26% had urgent or highly urgent medical complaints and target times to treatment had elapsed for 54% of the triaged walkouts. Independent predictors of leaving without treatment included being self-referred, arriving during the evening or night or during crowded conditions, and relatively lower urgency triage allocation. Ninety (53%) walkouts were contacted afterwards by phone. Long waiting time (61%) was the most-cited prime reason for leaving. Medical problems had resolved spontaneously in 19 of the 90 (21%) walkouts, and 47 (52%) walkouts reported having sought medical care elsewhere. For 24 of the 90 (27%) walkouts with persisting complaints, medical care was advised during the follow-up telephone call.
CONCLUSION: The average observed daily walkout rate was 1.4 patients over the 4-month period. In general, walkouts are self-referrals with lower urgent complaints, arriving during the evening or night shift or during crowded conditions. Most walkouts leave because of perceived long waiting times.

Background: Nearly all Dutch citizens have a general practitioner (GP), acting as a gatekeeper to secondary care. Some patients bypass the GP and present to the emergency department (ED). To make best use of existing emergency care, Dutch health policy makers and insurance companies have proposed the integration of EDs and GP cooperatives (GPCs) into one facility. In this study, we examined ED use and assessed the characteristics of self-referrals and non-self-referrals, their need for hospital emergency care and self-referrals' motives for presenting at the ED. Methods: A descriptive cohort study was conducted in a Dutch level 1 trauma centre. Differences in patient characteristics, time of presentation and need for hospital emergency care were analysed using χ² tests and t tests. A patient was considered to need hospital emergency care when he/she was admitted to the hospital, had an extremity fracture and/or when diagnostic tests were performed. Main determinants of self-referral were identified via logistic regression. Results: Of the 5,003 consecutive ED patients registering within the 5-week study period, 3,028 (60.5%) were self-referrals. Thirty-nine percent of the self-referrals had urgent acuity levels, as opposed to 65% of the non-self-referrals. Self-referrals more often suffered from injuries (49 vs. 20%). One third of the self-referrals presented during office hours. Of all self-referrals, 51% needed hospital emergency care. Younger age; non-urgent acuity level; chest pain, ear, nose or throat problems; and injuries were independent predictors for self-referral. Most cited motives for self-referring were ‘accessibility and convenience’ and perceived ‘medical necessity’. Conclusions: A substantial part of the self-referrals needed hospital emergency care. The 49% self-referrals who were eligible for GP care presented during out-of-hours as well as during office hours. This calls for an integrative approach to this health care problem.

Background: The objective of the current study was to assess the effect of an unusual 10-day snow and ice period on the prevalence of fractures in an emergency department (ED) in the Netherlands. Furthermore, patients with fractures during the snow and ice period were compared to those in the control period with respect to gender, age, location of accident, length of stay, disposition, and anatomical site of the injury. Methods: Fracture prevalence during a 10-day study period with snow and ice (January 14, 2013 until January 23, 2013) was compared to a similar 10-day control period without snow or ice (January 16, 2012 until January 25, 2012). The records of all patients with a fracture were manually selected. Besides this, basic demographics, type of fracture, and location of the accident (inside or outside) were compared. Results: A total of 1,785 patients visited the ED during the study period and 1,974 during the control period. A fracture was found in 224 patients during the study period and in 109 patients during the control period (P <0.01). More fractures sustained outside account for this difference. No differences were found in gender, mean age, and length of ED stay. However, during the snow and ice period the percentage of fractures in the middle-aged (31-60 yrs) was significantly higher than in the control period (P <0.01). Conclusions: The number of fractures sustained more than doubled during a period with snow and ice as compared to the control period. In contrast to other studies outside the Netherlands, not the elderly, but the middle-aged were most affected by the slippery conditions.

Background: Unscheduled return visits to the emergency department (ED) may reflect shortcomings in care. This study characterized ED return visits with respect to incidence, risk factors, reasons and post-ED disposition. We hypothesized that risk factors for unscheduled return and reasons for returning would differ from previous studies, due to differences in health care systems. Methods: All unscheduled return visits occurring within 1 week and related to the initial ED visit were selected. Multivariable logistic regression was conducted to determine independent factors associated with unscheduled return, using patient information available at the initial visit. Reasons for returning unscheduled were categorized into illness-, patient- or physician-related. Post-ED disposition was compared between patients with unscheduled return visits and the patients who did not return. Results: Five percent (n = 2,492) of total ED visits (n = 49,341) were unscheduled return visits. Patients with an urgent triage level, patients presenting during the night shift, with a wound or local infection, abdominal pain or urinary problems were more likely to return unscheduled. Reasons to revisit unscheduled were mostly illness-related (49%) or patient-related (41%). Admission rates for returning patients (16%) were the same as for the patients who did not return (17%). Conclusions: Apart from abdominal complaints, risk factors for unscheduled return differ from previous studies. Short-term follow-up at the outpatient clinic or general practitioner for patients with urgent triage levels and suffering from wounds or local infections, abdominal pain or urinary problem might prevent unscheduled return.