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The prediction of patient attendance in emergency departments (ED) is crucial for effective healthcare planning and resource allocation. This paper proposes an early warning system that can detect emerging trends in ED attendance, offering timely alerts for proactive operational planning. Over 13 years of historical ED attendance data (from January 2010 till December 2022) with 1,700,887 data points were used to develop and validate: (1) a Seasonal Autoregressive Integrated Moving Average with eXogenous factors (SARIMAX) forecasting model; (2) an Exponentially Weighted Moving Average (EWMA) surge prediction model, and (3) a trend persistence prediction model. Drift detection was achieved with the EWMA control chart, and the slopes of a kernel-regressed ED attendance curve were used to train various machine learning (ML) models to predict trend persistence. The EWMA control chart effectively detected significant COVID-19 events in Singapore. The surge prediction model generated preemptive signals on changes in the trends of ED attendance over the COVID-19 pandemic period from January 2020 until December 2022. The persistence of novel trends was further estimated using the trend persistence model, with a mean absolute error of 7.54 (95% CI: 6.77-8.79) days. This study advanced emergency healthcare management by introducing a proactive surge detection framework, which is vital for bolstering the preparedness and agility of emergency departments amid unforeseen health crises.

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INTRODUCTION: Hospital overcrowding where patient admissions exceed capacity is associated with worse outcomes in Emergency Department. Developments in emergency stroke care have been associated with improvements in stroke outcome but are dependent on effective, organised care. We examined if overcrowding in the hospital system was associated with negative changes in stroke outcome. METHODS: Data on overcrowding were obtained from the Irish Nurses and Midwives Organisation (INMO) 'Trolley Count' database recording the number of patients cared for on trolleys/chairs in all acute hospitals each midnight. These were compared with quarterly data from the Irish National Audit of Stroke from 2013 to 2021 inclusive. Variables analysed were inpatient mortality rate, thrombolysis rate for ischaemic stroke, median door to needle time and median length of stay. RESULTS: 579449 patient episodes were recorded by Trolley Watch over the period, (Quarterly Median 16719.5, range 3389-27015). Average Quarterly Thrombolysis rate was 11.3% (sd 1.3%) Median Quarterly Inpatient Mortality rate was 11.8% (Range 8.9-14.0%). Median Quarterly Length of stay was 9 days (8-11 days). Median quarterly door to needle was 65 min (45-80 min). Q1 was typically the worst for overcrowding with on average 19777 incidences (sd 4786). This was significantly higher than for Q2 (mean 13540 (sd 4785) p = 0.005 t-test) and for Q3 (mean 14542 (sd 4753) p = 0.03). No significant correlation was found between quarterly Trolley watch episodes and inpatient mortality (r = 0.084, p = 0.63), median length of stay r=-0.15, p = 0.37) or thrombolysis rate (r = 0.089 p = 0.61). There was an unexpected significant negative correlation between trolley watch data and median door to needle time (r=-0.36, p = 0.03). CONCLUSION: Despite increasing hospital overcrowding, stroke services still managed to preserve standard of care. We could find no association between levels of overcrowding and deterioration in selected indices of patient care.

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BACKGROUND: This study explores the infrastructural and organizational risk factors for health care-associated (HCA) Clostridioides difficile infections (CDIs) and methicillin-resistant Staphylococcus aureus (MRSA) in hospitals. METHODS: This is a retrospective observational study involving all eligible inpatient units from 12 hospitals in British Columbia, Canada, from April 1, 2020 to September 16, 2021. The outcomes were the average HCA CDI or MRSA rates. Covariates included, but were not limited to, infection control factors (eg, hand hygiene rate), infrastructural factors (eg, unit age), and organizational factors (eg, hallway bed utilization). Multivariable regression was performed to identify statistically significant risk factors. RESULTS: Older units were associated with higher HCA CDI rates (adjusted relative risk [aRR]: 0.012; 95% confidence interval (CI) [0.004, 0.020]). Higher HCA MRSA rates were associated with decreased hand hygiene rate (aRR: -0.035; 95% CI [-0.063, -0.008]), higher MRSA bioburden (aRR: 9.008; 95% CI [5.586, 12.429]), increased utilization of hallway beds (aRR: 0.680; 95% CI [0.094, 1.267]), increased nursing overtime rate (aRR: 5.018; 95% CI [1.210, 8.826]), and not keeping the clean supply room door closed (aRR: -0.283; 95% CI [-0.536, -0.03]). CONCLUSIONS: The study confirmed the multifaceted nature of infection prevention and emphasized the importance of interdepartmental collaboration to improve patient safety.

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This study was designed to examine the changes in emergency room visits in otolaryngology, head and neck surgery, during the COVID-19 pandemic. The study included 11,277 patients who presented to a tertiary care hospital (ER) and an emergency practice (EP) during on-call hours in the first half of 2018, 2019, and 2020. The epidemiologic parameters, diagnoses, and level of urgency were recorded using a four-step scale. A comparison was made between the pre-pandemic years and 2020. The findings revealed a significant decrease in the frequency of ER visits in the second quarter of 2020 compared to 2019 (ER: 30.8%, EP: 37.8%), mainly due to the fact that there were significantly fewer patients, with low levels of urgency. Certain diagnoses, such as epistaxis (-3.0%) and globus sensation (-3.2%), were made at similar frequencies to 2019, while inflammatory diseases like skin infections (-51.2%), tonsillitis (-55.6%), sinusitis (-59%), and otitis media (-70.4%) showed a significant reduction. The study concludes that patients with a low triage level were less likely to visit the ER during the early stages of the pandemic, but some diagnoses were still observed at comparable rates. This suggests a disparity in perception between patients and ER staff regarding urgency. Many of the issues discussed were also emphasized in the 2024 proposal by the German Ministry of Health to reform emergency care in Germany.

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A critical problem that Emergency Departments (EDs) must address is overcrowding, as it causes extended waiting times and increased patient dissatisfaction, both of which are immediately linked to a greater number of patients who leave the ED early, without any evaluation by a healthcare provider (Leave Without Being Seen, LWBS). This has an impact on the hospital in terms of missing income from lost opportunities to offer treatment and, in general, of negative outcomes from the ED process. Consequently, healthcare managers must be able to forecast and control patients who leave the ED without being evaluated in advance. This study is a retrospective analysis of patients registered at the ED of the "San Giovanni di Dio e Ruggi d'Aragona" University Hospital of Salerno (Italy) during the years 2014-2021. The goal was firstly to analyze factors that lead to patients abandoning the ED without being examined, taking into account the features related to patient characteristics such as age, gender, arrival mode, triage color, day of week of arrival, time of arrival, waiting time for take-over and year. These factors were used as process measures to perform a correlation analysis with the LWBS status. Then, Machine Learning (ML) techniques are exploited to develop and compare several LWBS prediction algorithms, with the purpose of providing a useful support model for the administration and management of EDs in the healthcare institutions. During the examined period, 688,870 patients were registered and 39188 (5.68%) left without being seen. Of the total LWBS patients, 59.6% were male and 40.4% were female. Moreover, from the statistical analysis emerged that the parameter that most influence the abandonment rate is the waiting time for take-over. The final ML classification model achieved an Area Under the Curve (AUC) of 0.97, indicating high performance in estimating LWBS for the years considered in this study. Various patient and ED process characteristics are related to patients who LWBS. The possibility of predicting LWBS rates in advance could be a valid tool quickly identifying and addressing "bottlenecks" in the hospital organization, thereby improving efficiency.

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BACKGROUND: Emergency departments (EDs) worldwide are dealing with overcrowding, system fragmentation, and coordination problems, which impact patient wait times, staff job satisfaction, and patient outcomes. Inappropriate ED visits, particularly those for low acuity conditions, exacerbate these challenges. However, the motivations behind these visits are poorly understood, with limited data from the patient perspective. This study investigated patient-reported motives behind ED visits triaged as low acuity in Poznan, Poland, to propose health care system flow enhancements. MATERIAL AND METHODS: A cross-sectional survey and retrospective chart review were conducted in the ED of the Hipolit Cegielski Medical Center in Poznan, Poland, over three months in 2022-23. Patients who were triaged to have low acuity conditions were invited to participate in the survey. The data collected through the questionnaire included patient and ED visit characteristics. Additional information on the visits was extracted from the patient charts. MAIN RESULTS: This study involved 293 patients who underwent low-acuity triage. Among them, 58 % were deemed to have conditions that could have been treated in primary care. Most of the patients (74 %) visited the ED of their own volition due to concerns about their health. Other reasons for ED attendance were challenges accessing primary care or a specialist clinic (11 %), system navigation problems (5 %), or a lack of trust in their primary care provider (2 %). CONCLUSIONS: This study showed that of the patients surveyed, the majority had conditions that could have been treated outside of the ED setting. We recommend prioritizing education, particularly among younger adults, to increase awareness about nonurgent care options while improving health care policies.

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'Ramping' is a commonly used term in contemporary Australian healthcare. It is also a part of the public and political zeitgeist. However, its precise definition varies among sources. In the published literature, there are distinctions between related terms, such as 'entry overload' and 'Patient Off Stretcher Time Delay'. How ramping is defined and how it came to be defined have significance for policies and procedures relating to the described phenomenon. Through examination of the history of the term, insights are obtained into the underlying issues contributing to ramping and, accordingly, associated possible solutions.

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OBJECTIVE: The aim of the present study was to assess the predictors of need for paediatric intensive care unit (PICU) admission for inter-hospital transfer patients to a tertiary paediatric hospital ED on high flow (HF) or continuous positive airway pressure (CPAP) ventilation. METHODS: Single-centre retrospective study of patients transferred to the state's tertiary paediatric hospital. Demographic information and disease management information was obtained. RESULTS: Between October 2021 and September 2022, 53 patients were transferred to the tertiary hospital on HF or CPAP. Of these, 23 required admission to PICU. Those admitted to PICU had a higher median fraction of inspired oxygen than those not admitted (0.4 vs 0.3, respectively, P = 0.013). Patients transported by road (vs flight) were more likely (20/23 patients, RR = 3.15, P = 0.016) to be admitted to PICU (56% vs 18%). Those who had received CPAP prior to or during transfer were more likely to require PICU admission (P = 0.012). CONCLUSION: We have demonstrated that children who require CPAP to manage their respiratory disease are more likely to require PICU care on transfer to the tertiary paediatric hospital. In addition, those patients being transferred from secondary metropolitan hospitals after a trial of HF are also likely to require PICU care. This suggests that these patients should be directly admitted to PICU, allowing for improved patient experience and flow as well as reducing unnecessary ED resource utilisation.

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BACKGROUND: In emergency departments (EDs), triage nurses are under tremendous daily pressure to rapidly assess the acuity level of patients and log the collected information into computers. With self-service technologies, patients could complete data entry on their own, allowing nurses to focus on higher-order tasks. Kiosks are a popular working example of such self-service technologies; however, placing a sufficient number of unwieldy and fixed machines demands a spatial change in the greeting area and affects pretriage flow. Mobile technologies could offer a solution to these issues. OBJECTIVE: The aim of this study was to investigate the use of mobile technologies to improve pretriage flow in EDs. METHODS: The proposed stack of mobile technologies includes patient-carried smartphones and QR technology. The web address of the self-registration app is encoded into a QR code, which was posted directly outside the walk-in entrance to be seen by every ambulatory arrival. Registration is initiated immediately after patients or their proxies scan the code using their smartphones. Patients could complete data entry at any site on the way to the triage area. Upon completion, the result is saved locally on smartphones. At the triage area, the result is automatically decoded by a portable code reader and then loaded into the triage computer. This system was implemented in three busy metropolitan EDs in Shanghai, China. Both kiosks and smartphones were evaluated randomly while being used to direct pretriage patient flow. Data were collected during a 20-day period in each center. Timeliness and usability of medical students simulating ED arrivals were assessed with the After-Scenario Questionnaire. Usability was assessed by triage nurses with the Net Promoter Score (NPS). Observations made during system implementation were subject to qualitative thematic analysis. RESULTS: Overall, 5928 of 8575 patients performed self-registration on kiosks, and 7330 of 8532 patients checked in on their smartphones. Referring effort was significantly reduced (43.7% vs 8.8%; P<.001) and mean pretriage waiting times were significantly reduced (4.4, SD 1.7 vs 2.9, SD 1.0 minutes; P<.001) with the use of smartphones compared to kiosks. There was a significant difference in mean usability scores for "ease of task completion" (4.4, SD 1.5 vs 6.7, SD 0.7; P<.001), "satisfaction with completion time" (4.5, SD 1.4 vs 6.8, SD 0.6; P<.001), and "satisfaction with support" (4.9, SD 1.9 vs 6.6, SD 1.2; P<.001). Triage nurses provided a higher NPS after implementation of mobile self-registration compared to the use of kiosks (13.3% vs 93.3%; P<.001). A modified queueing model was identified and qualitative findings were grouped by sequential steps. CONCLUSIONS: This study suggests patient-carried smartphones as a useful tool for ED self-registration. With increased usability and a tailored queueing model, the proposed system is expected to minimize pretriage waiting for patients in the ED.

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OBJECTIVE: Emergency department (ED) crowding poses a significant challenge in healthcare systems globally, leading to delays in patient care and threatening public health and staff well-being. Access block, characterized by delays in admitting patients awaiting hospitalization, is a primary contributor to ED overcrowding. To address this issue, the National Emergency Department Overcrowding Study (NEDOCS) score provides an objective framework for assessing ED crowding severity. This study aims to evaluate the impact of access block on ED crowding using the NEDOCS score and to explore strategies for mitigating overcrowding through scenarios over a 39-day period. METHODS: A single-center, prospective, observational study was conducted in an urban tertiary care referral center. The NEDOCS score was collected six times daily, including variables like total ED patients, ventilated patients, boarding patients, the longest waiting times, and durations of boarding patients. NEDOCS scores were recorded, and calculations were performed to assess the potential impact of eliminating access block in scenarios. RESULTS: NEDOCS scores ranged from 62.4 to 315, with a mean of 146, indicating consistent overcrowding. Analysis categorized ED conditions into different levels, revealing that over 81.2% of the time, the ED was at least overcrowded. The longest boarding patient's waiting duration was identified as the primary contributor to NEDOCS (48.8%). Scenarios demonstrated a significant decrease in NEDOCS when access block was eliminated through timely admissions. Shorter boarding times during non-working hours suggest the potential mitigating effect of external factors on the access barrier. Additionally, daytime measurements were associated with lower patient admissions and shorter wait times for initial assessment. CONCLUSION: Although ED crowding is a multifactorial problem, our study has shown that access block contribute significantly to this problem. The study emphasizes that eliminating access block through timely admissions could substantially alleviate crowding, highlighting the importance of addressing this issue to enhance ED efficiency and overall healthcare delivery.

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BACKGROUND: Approximately 25% of patients that present to the emergency department (ED) do so after contact with a healthcare professional. Many of these patients could be effectively managed in non-ED ambulatory settings. Aligning patients with safe and appropriate outpatient care has the potential to improve ED overcrowding, patient experience, outcomes, and costs. Little is understood about how healthcare providers approach triage decision-making and what factors influence their choices. OBJECTIVES: To evaluate how providers think about patient triage, and what factors influence their decision-making when triaging patient calls. DESIGN: Cross-sectional survey-based study in which participants make triage decisions for hypothetical clinical scenarios. PARTICIPANTS: Healthcare providers in the specialties of internal medicine, family medicine, or emergency medicine within a large integrated healthcare system in the Southeast. MAIN MEASURES: Differences in individual training and practice characteristics were used to compare observed differences in triage outcomes. Free-response data were evaluated to identify themes and factors affecting triage decisions. KEY RESULTS: Out of 72 total participants, substantial variability in triage decision-making was observed among all patient cases. Attending physicians triaged 1.4 fewer cases to ED care compared with resident physicians (p < 0.001, 95% CI 0.62-2.1). Academic attendings demonstrated a trend toward fewer cases to ED care compared with community attendings (0.61, p = 0.188, 95% CI - 0.31-1.5). Qualitative data highlighted the complex considerations in provider triage and led to the development of a novel conceptual model to describe the cognitive triage process and the main influencing factors. CONCLUSIONS: Triage decision-making for healthcare providers is influenced by many factors related to clinical resources, care coordination, patient factors, and clinician factors. The complex considerations involved yield variability in triage decisions that is largely unexplained by descriptive physician factors.

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Objectives: Emergency department (ED) crowding negatively affects patient care, but the effect on resident education has been difficult to quantify. We aimed to describe the relationship between ED crowding and residents' ability to meet point-of-care ultrasound (POCUS) education goals. Methods: We retrospectively reviewed medical records from November 2021 to June 2023 at an academic level 1 trauma center, where emergency medicine residents complete longitudinal POCUS scanning shifts throughout 3 years of training. Residents are expected to complete ≥14 scans per scanning shift. We assessed whether completing the goal POCUS scans on a scanning shift (success: ≥14 scans, near-success: 10‒13, failure: <10) was associated with the average National Emergency Department Overcrowding Scale (NEDOCS) score or patient boarding hours during each scanning shift. Ordinal logistic regression was performed, controlling for the type of POCUS device available and the presence of medical students, interns, ultrasound faculty, and multiple residents. Results: Over 125 scanning shifts, 1340 scans were performed. Residents met the expected number of POCUS scans for 26.4% of scanning shifts, with 34.4% near-success and 39.2% failure. The average NEDOCS was 157.4 ± 31.9. POCUS success was associated with a lower mean NEDOCS (142 vs. 169, p < 0.001). After controlling for covariates, every 10-point increase in NEDOCS was associated with 17% lower odds of achieving the goal (odds ratio [OR] = 0.83, 95% confidence interval [CI] 0.73‒0.94, p = 0.003). Other significant factors were having only one resident on a scanning shift, which was associated with lower odds of success (OR = 0.41, 95% CI 0.18‒0.97, p = 0.043), and having a cart-based POCUS device available in addition to a handheld POCUS device, which was associated with higher odds of success (OR = 13.58, 95% CI 5.53‒33.38, p < 0.001). Conclusion: As ED crowding increased, residents were increasingly likely to fail to meet their POCUS education goals.

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Background Hajj, the annual Islamic pilgrimage, brings together over two million pilgrims in the city of Makkah to participate in a series of rituals. Given the physically demanding nature of the Hajj, pilgrims are susceptible to musculoskeletal (MSK) injuries and exhaustion. MSK pain and injuries are frequent occurrences among pilgrims, necessitating an assessment of the scope of this issue. Therefore, the primary objective of this study was to determine the prevalence of MSK injuries among pilgrims during the 2023 Hajj season. Methods This is a cross-sectional questionnaire-based study that was conducted in the city of Makkah, Saudi Arabia, during the 2023 Hajj season. Results A total of 463 pilgrims were included in the analysis. The most frequently reported types of injuries were muscular injuries (169, 45.4%), primarily characterized by pain (99, 58.6%), muscle spasms (55, 32.5%), and muscle tears (eight, 4.7%). The second most commonly reported MSK injury was bony injuries (97, 26.1%), which included fractures, followed by 79 cases (21.2%) of joint injuries, predominantly featuring pain (69, 87.3%) and joint prolapse (10, 12.7%). Notably, 27 pilgrims (7.3%) suffered from ligament injuries, including tears. Regarding the mechanisms or causes of these MSK injuries, the most frequently reported factors were fatigue (206, 55.4%), falls (76, 20.4%), crowding (34, 9.1%), accidents (30, 8.1%), and the use of wheelchairs (14, 3.8%). Additionally, it is noteworthy that muscular injuries were more prevalent among all age groups, particularly among young-aged pilgrims, while joint injuries were more common among elderly pilgrims. Conclusion MSK injuries are prevalent among pilgrims, with muscular injuries being the most frequently encountered. This underscores a noteworthy public health concern that necessitates attention from the Ministry of Health of Saudi Arabia.

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Purpose: Emergency department (ED) overcrowding is a significant concern in many hospitals in Saudi Arabia, resulting in long waiting times, delays in treating patients who need urgent care, and, consequently, decreased patient satisfaction. Additionally, ED overcrowding has been linked to increased nurse turnover rates. Therefore, this study aimed to assess nurses' perceived causes and effects of overcrowding in the EDs of five tertiary hospitals in Saudi Arabia. Methods: This study used a descriptive cross-sectional design. We surveyed 311 nurses working in the EDs of five tertiary hospitals in Saudi Arabia using the convenience sampling technique. The self-administered questionnaires used in the study were developed by the researchers. The study was conducted from October 16 to November 10, 2022. Consensus-Based Checklist for Reporting of Survey Studies was followed. Results: The results revealed that the primary perceived causes of ED overcrowding in five tertiary hospitals were unnecessary visits due to a lack of standard procedures (mean = 2.70; SD = 0.58) and lack of inpatients beds (mean = 2.69; SD = 0.65). The perceived effect of overcrowding was stress and burnout among nurses (mean = 2.85; SD = 0.47). The perceived causes and effects of overcrowding in the ED were found to be highly significant (p <0.001) based on Pearson correlation and Spearman's rank correlation. Conclusion: Unnecessary visits due to a lack of standard procedures lead to overcrowding. In addition, a lack of inpatient beds in the ED affects the care provided to patients seeking immediate medical attention. This may prolong patient waiting time, causing their conditions to deteriorate and prolonging hospital stay. Overcrowding leads to increased stress and burnout among nurses. The results of this study can be used to develop a comprehensive action plan to address ED overcrowding and its effects on patients, staff, and ED flow.

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BACKGROUND: The latest Surviving Sepsis Campaign 2021 recommends early antibiotics administration. However, Emergency Department (ED) overcrowding can delay sepsis management. This study aimed to determine the effect of ED overcrowding towards the management and outcome of sepsis patients presented to ED. METHODS: This was an observational study conducted among sepsis patients presented to ED of a tertiary university hospital from 18th January 2021 until 28th February 2021. ED overcrowding status was determined using the National Emergency Department Overcrowding Score (NEDOCS) scoring system. Sepsis patients were identified using Sequential Organ Failure Assessment (SOFA) scores and their door-to-antibiotic time (DTA) were recorded. Patient outcomes were hospital length of stay (LOS) and in-hospital mortality. Statistical analysis was done using Statistical Package for Social Sciences (SPSS) version 26. P-value of less than 0.05 for a two-sided test was considered statistically significant. RESULTS: Total of 170 patients were recruited. Among them, 33 patients presented with septic shock and only 15% (n = 5) received antibiotics within one hour. Of 137 sepsis patients without shock, 58.4% (n = 80) received antibiotics within three hours. We found no significant association between ED overcrowding with DTA time (p = 0.989) and LOS (p = 0.403). However, in-hospital mortality increased two times during overcrowded ED (95% CI 1-4; p = 0.041). CONCLUSION: ED overcrowding has no significant impact on DTA and LOS which are crucial indicators of sepsis care quality but it increases overall mortality outcome. Further research is needed to explore other factors such as lack of resources, delay in initiating fluid resuscitation or vasopressor so as to improve sepsis patient care during ED overcrowding.

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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.

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Elderly patients, when they present to the emergency department (ED) or are admitted to the hospital, are at higher risk of adverse outcomes such as higher mortality and longer hospital stays. This is mainly due to their age and their increased fragility. In order to minimize this already increased risk, adequate triage is of foremost importance for fragile geriatric (>75 years old) patients who present to the ED. The admissions of elderly patients from 1 January 2014 to 31 December 2020 were examined, taking into consideration the presence of two different triage systems, a 4-level (4LT) and a 5-level (5LT) triage system. This study analyzes the difference in wait times and under- (UT) and over-triage (OT) in geriatric and general populations with two different triage models. Another outcome of this study was the analysis of the impact of crowding and its variables on the triage system during the COVID-19 pandemic. A total of 423,257 ED presentations were included. An increase in admissions of geriatric, more fragile, and seriously ill individuals was observed, and a progressive increase in crowding was simultaneously detected. Geriatric patients, when presenting to the emergency department, are subject to the problems of UT and OT in both a 4LT system and a 5LT system. Several indicators and variables of crowding increased, with a net increase in throughput and output factors, notably the length of stay (LOS), exit block, boarding, and processing times. This in turn led to an increase in wait times and an increase in UT in the geriatric population. It has indeed been shown that an increase in crowding results in an increased risk of UT, and this is especially true for 4LT compared to 5LT systems. When observing the pandemic period, an increase in admissions of older and more serious patients was observed. However, in the pandemic period, a general reduction in waiting times was observed, as well as an increase in crowding indices and intrahospital mortality. This study demonstrates how introducing a 5LT system enables better flow and patient care in an ED. Avoiding UT of geriatric patients, however, remains a challenge in EDs.

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OBJECTIVES: To explore the rate of NUPs and associated factors in the PED of the 'Hospital Universitario y Politécnico La Fe' in Valencia (Spain) using Andersen's Behavioural Model. METHODS: We conducted a descriptive cross-sectional study using Andersen's Behavioural Model in parents visiting the PED with their children at the 'Hospital Universitario y Politécnico La Fe' in Valencia (Spain). RESULTS: The study involved a total of 530 participants, of whom 419 (79%) had made an NUP. The predisposing factors identified were: (I) paediatric patients brought in by their fathers (OR = 0.460; p = 0.005), (II) lower educational attainment (OR = 3.841; p = 0.000), (III) first-time parenthood (OR = 2.335; p = 0.000) and (IV) higher parental stress (OR = 1.974; p = 0.023). The enabling factors included: (I) responsibility for a significant part of the childcare shared with others (OR = 0.348; p = 0.041) and (II) the perception that PEDs provide better care than primary care (PC) services (OR = 1.628; p = 0.005). The need factors were: (I) existing chronic illness in the child seeking care (OR = 0.343; p = 0.000) and (II) the perceived severity of the urgency (OR = 0.440; p = 0.031). CONCLUSIONS: The NUP rates found in this study are similar to those found internationally. In accordance with Andersen's Behavioural Model, we identify predisposing, enabling and need factors to explain the multifactorial nature of NUPs in PEDs. IMPLICATIONS FOR PRACTICE: Identifying the factors associated with NUPs enables interventions to be targeted at those groups most likely to engage in NUPs, thereby optimising the functioning of the PED and improving the well-being of children and families. These interventions should focus on improving parental health literacy, providing education on making appropriate decisions about accessing health services and recognising severe symptoms in children, as well as improving access to high-quality PC services. Providing support to parents during the transition to parenthood would also be beneficial. REPORTING METHOD: This paper adheres to the STROBE initiative guidelines. CONTRIBUTION FROM PATIENTS OR MEMBERS OF THE PUBLIC: Participants, who voluntarily agreed to take part, contributed to the study by completing a paper-based questionnaire containing all the study variables as prepared by the research team.

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Introduction: Emergency department (ED) overcrowding has become a significant concern as it can lead to compromised patient care in emergency settings. Various tools have been used to evaluate overcrowding in ED. However, there is a lack of data regarding this issue in resource-limited countries, including Ethiopia. This study aimed to validate NEDOCS, assess level of ED overcrowding and identify associated factors at HARME Medical Emergency Center, located in Hiwot Fana Comprehensive Specialized Hospital, Harar, Ethiopia. Methods: A cross-sectional study was conducted at the HARME Medical Emergency Center, Hiwot Fana Comprehensive Specialized Hospital, involving a total of 899 patients during 120 sampling intervals. The area under the receiver operating characteristic curves (AUC) was calculated to evaluate the agreement between objective and subjective assessments of ED overcrowding. A multivariable logistic regression analysis was employed to identify factors associated with ED overcrowding and statistically significant association was declared using 95 % confidence level and a p-value < 0.05. Results: The interrater agreement showed a strong correlation with a Cohen's kappa (κ) of 0.80. The National Emergency Department Overcrowding Study Score demonstrated a strong association with subjective assessments from residents and case team nurses, with an AUC of 0.81 and 0.79, respectively. According to residents' perceptions, ED were considered overcrowded 65.8 % of the time. Factors significantly associated with ED overcrowding included waiting time for triage (AOR: 2.24; 95 % CI: 1.54-3.27), working time (AOR: 2.23; 95 % CI: 1.52-3.26), length of stay (AOR: 2.40; 95 % CI: 1.27-4.54), saturation level (AOR: 2.35; 95 % CI: 1.31-4.20), chronic illness (AOR: 2.19; 95 % CI: 1.37-3.53), and abnormal pulse rate (AOR: 1.52; 95 % CI: 1.06-2.16). Conclusion: The study revealed that ED were overcrowded approximately two-thirds of the time.