Assessing the predictors for paediatric intensive care unit for inter-hospital transfer patients on high-flow nasal cannula or continuous positive airway pressure ventilation at a tertiary Australian paediatric hospital.

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.

The impact of emergency department crowding and patient boarding on resident point-of-care ultrasound education.

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.

How Healthcare Providers Decide on a Referral Location in Telephone Triage: A Cross-sectional Study.

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.

Use of Mobile Technologies to Streamline Pretriage Patient Flow in the Emergency Department: Observational Usability Study.

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.

Effect of access block on emergency department crowding calculated by NEDOCS score.

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.

The Prevalence of Musculoskeletal Injuries Among Pilgrims During the 2023 Hajj Season: A Cross-Sectional Study.

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.

Perceived Causes and Effects of Overcrowding Among Nurses in the Emergency Departments of Tertiary Hospitals: A Multicenter Study.

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.

An observational study on the impact of overcrowding towards door-to-antibiotic time among sepsis patients presented to emergency department of a tertiary academic hospital.

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.

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.

Geriatric Population Triage: The Risk of Real-Life Over- and Under-Triage in an Overcrowded ED: 4- and 5-Level Triage Systems Compared: The CREONTE (Crowding and R E Organization National TriagE) Study.

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.

Factors associated with non-urgent presentations in the paediatric emergency department using Andersen's behavioural model: A cross-sectional descriptive study.

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.

Variations in the intended utilization of emergency care in case of gastrointestinal diseases.

Frequent utilization of emergency care and overcrowded emergency departments (EDs) are highly relevant topics due to their harmful consequences for patients and staff. The present study examines variations of intended health care use in urgent and non-urgent cases among the general population. In a cross-sectional telephone survey, a sample of N = 1,204 adults residing in Hamburg, Germany, was randomly drawn. At the beginning of the survey, one of 24 different vignettes (case stories) describing symptoms of inflammatory gastrointestinal diseases were presented to the participants. The vignettes varied in sex (male/female), age (15, 49, 72 years), daytime (Tuesday morning, Tuesday evening), and urgency (low, high). Participants were asked in an open-ended question about their primal intended utilization if they or their children would be affected by such symptoms. Overall, about 14 % chose emergency facilities (ED, ambulance, emergency practice) despite presentation of non-urgent conditions (n = 602). Intended emergency care use varied considerably even if the degree of urgency was comparable. Adolescence, male sex, and symptoms occurring in the evening were associated with increased ED and ambulance use. Inappropriate utilization of ED and ambulance (analyses regarding utilization due to non-urgent problems) was more often observed among male respondents and those with a migration background (1st generation). Information campaigns focused on emergency care use and reorganisation of emergency care wards are possible interventions.

Emergency department overcrowding and its associated factors at HARME medical emergency center in Eastern Ethiopia.

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.

When the economy falters, hearts suffer: Economic recessions as a social determinant of health in cardiovascular emergencies.

INTRODUCTION: While the relationships between cardiovascular disease (CVD), stress, and financial strain are well studied, the association between recessionary periods and macroeconomic conditions on incidence of disease-specific CVD emergency department (ED) visits is not well established. OBJECTIVES: This retrospective observational study aimed to assess the relationship between macroeconomic trends and CVD ED visits. METHODS: This study uses data from the National Hospital Ambulatory Care Survey (NHAMCS), Federal Reserve Economic Database (FRED), National Bureau of Economic Research (NBER), and CVD groupings from National Vital Statistics (NVS) and Center for Medicare and Medicaid Services (CMS) from 1999 to 2020 to analyze ED visits in relation to macroeconomic indicators and NBER defined recessions and expansions. RESULTS: CVD ED visits grew by 79.7% from 1999 to 2020, significantly more than total ED visits (27.8%, p < 0.001). A national estimate of 213.2 million CVD ED visits, with 22.9 million visits in economic recessions were analyzed. A secondary group including a 6-month period before and after each recession (defined as a "broadened recession") was also analyzed to account for potential leading and lagging effects of the recession, with a total of 50.0 million visits. A significantly higher proportion of CVD ED visits related to heart failure (HF) and other acute ischemic heart diseases (IHD) was observed during recessionary time periods both directly and with a 6-month lead and lag (p < 0.05). The proportion of aortic aneurysm and dissection (AAA) and atherosclerosis (ASVD) ED visits was significantly higher (p = 0.024) in the recession period with a 6-month lead and lag. When controlled for common demographic factors, economic approximations of recession such as the CPI, federal funds rate, and real disposable income were significantly associated with increased CVD ED visits. CONCLUSION: Macroeconomic trends have a significant relationship with the overall mix of CVD ED visits and represent an understudied social determinant of health.

[The situation in the German forensic commitment-Results of a survey by the DGPPN]. / Die Situation des deutschen Maßregelvollzugs ­ Ergebnisse einer Umfrage der DGPPN.

BACKGROUND AND OBJECTIVE: In German forensic psychiatry detention under Sections 63 and 64 of the German Penal Code have been repeatedly reformed over the past years; however, despite the most recent amendments to the law on detention, clinics and state authorities warn of insufficient capacities and worrying conditions. Media reports paint a defiant picture. At the same time, there is a lack of valid data that would allow an objective description of the situation in forensic psychiatry. Against this background the management of institutions in Germany has been surveyed. MATERIAL AND METHODS: The survey was conducted as an online survey and sent to all 78 forensic hospitals in Germany. The survey covered topics such as structural data of the facilities, the occupancy and staffing situation, incidents, support from supervisory authorities and funding agencies, and patient characteristics. The results are presented descriptively. RESULTS: Of the 78 facilities contacted, 45 (approximately 60%) participated at least partially in the survey. Many of the clinics (68.5%) complained of significant overcrowding. A clear lack of staff and rooms was reported, at the same time it was stated that patients do not receive adequate treatment. Approximately 1 in 5 patients have a length of stay for more than 10 years and one third of the clinics reported an increasing number of physical assaults by patients. CONCLUSION: This overview shows that the forensic psychiatric hospitals are in very different but generally strained situations. A significant number of clinics are under great pressure. Financial, structural, spatial and personnel resources were described as insufficient to properly and professionally fulfill the legal mandate. The treatment standards presented by the DGPPN in 2017 are not met in many clinics.

Overcrowding in emergency departments: an overview of reviews describing global solutions and their outcomes.

Emergency Department (ED) crowding is defined as a situation wherein the demands of emergency services overcome the ability of a department to provide high-quality care within an appropriate time frame. There is a need for solutions, as the harms of crowding impact patients, staff, and healthcare spending. An overview of ED crowding was previously published by our group, which outlines these global issues. The problem of overcrowding in emergency departments has emerged as a global public health concern, and several healthcare agencies have addressed the issue and proposed possible solutions at each level of emergency care. There is no current literature summarizing the extensive research on interventions and solutions, thus there is a need for data synthesis to inform policymakers in this field. The aim of this overview was to summarize the interventions at each level of emergency care: input, throughput, and output. The methodology was supported by the current PRIOR statement for an overview of reviews. The study summarized twenty-seven full-text systematic reviews, which encompassed three hundred and eight primary studies. The results of the summary displayed a requirement for increasing studies in input and output interventions, as these showed the best outcomes with regard to ED crowding metrics. Moreover, the results displayed heterogeneous results at each level of ED care; these reflected that generally solutions have not been matched to specific problems facing regional centres. Thus, individual factors need to be considered when implementing solutions in Emergency Departments.

Multiple integrated social stress induces depressive-like behavioral and neural adaptations in female C57BL/6J mice.

Despite women representing most of those affected by major depression, preclinical studies have focused almost exclusively on male subjects, partially due to a lack of ideal animal paradigms. As the persistent need regarding the sex balance of neuroscience research and female-specific pathology of mental disorders surges, the establishment of natural etiology-based and systematically validated animal paradigms for depression with female subjects becomes an urgent scientific problem. This study aims to establish, characterize, and validate a "Multiple Integrated Social Stress (MISS)" model of depression in female C57BL/6J mice by manipulating and integrating daily social stressors that females are experiencing. Female C57BL/6J mice randomly experienced social competition failure in tube test, modified vicarious social defeat stress, unescapable overcrowding stress followed by social isolation on each day, for ten consecutive days. Compared with their controls, female MISS mice exhibited a relatively decreased preference for social interaction and sucrose, along with increased immobility in the tail suspension test, which could last for at least one month. These MISS mice also exhibited increased levels of blood serum corticosterone, interleukin-6 L and 1ß. In the pharmacological experiment, MISS-induced dysfunctions in social interaction, sucrose preference, and tail suspension tests were amended by systematically administrating a single dose of sub-anesthetic ketamine, a rapid-onset antidepressant. Compared with controls, MISS females exhibited decreased c-Fos activation in their anterior cingulate cortex, prefrontal cortex, nucleus accumbens and some other depression-related brain regions. Furthermore, 24 h after the last exposure to the paradigm, MISS mice demonstrated a decreased center zone time in the open field test and decreased open arm time in the elevated plus-maze test, indicating anxiety-like behavioral phenotypes. Interestingly, MISS mice developed an excessive nesting ability, suggesting a likely behavioral phenotype of obsessive-compulsive disorder. These data showed that the MISS paradigm was sufficient to generate pathological profiles in female mice to mimic core symptoms, serum biochemistry and neural adaptations of depression in clinical patients. The present study offers a multiple integrated natural etiology-based animal model tool for studying female stress susceptibility.

Implementation of the Lean Healthcare System in the Emergency Room of the Clinical Hospital of the Federal University of Uberlândia: A Case Study.

The objective of this study was to analyze the effectiveness of the implementation of the lean healthcare system at the emergency room of the Clinical Hospital of the Federal University of Uberlândia, based on a comparison of hospital indicators obtained over the three phases corresponding to the period of one year before the implementation (T1), the year during the implementation (T2) and one year after implementation (T3). The methodology applied through this study can be classified as a case study that is exploratory and descriptive and developed in stages. Based herein on the search for hospital indicators, as occurred in the implementation of a lean process at the Clinical Hospital Emergency Department, along with a description of the implemented lean system. During the collection period of data relevant to the National Emergency Department Overcrowding Score and Length of Stay Indicator, the motivation of the teams grew, but with a notable tension between municipal management and hospital management. It was found that, despite the fluctuations, the patient length of stay in the Emergency Room remained high. With the exception of the variable of female deaths before 24 h of hospitalization, all other variables showed percentage increases before and after the intervention. This study reported the difficulties encountered by HC-UFU in implementing the lean project in an emergency room, thus ensuring that other institutions that intend to implement this project do not make the same types of mistakes.

AI Algorithm to Predict Acute Coronary Syndrome in Prehospital Cardiac Care: Retrospective Cohort Study.

BACKGROUND: Overcrowding of hospitals and emergency departments (EDs) is a growing problem. However, not all ED consultations are necessary. For example, 80% of patients in the ED with chest pain do not have an acute coronary syndrome (ACS). Artificial intelligence (AI) is useful in analyzing (medical) data, and might aid health care workers in prehospital clinical decision-making before patients are presented to the hospital. OBJECTIVE: The aim of this study was to develop an AI model which would be able to predict ACS before patients visit the ED. The model retrospectively analyzed prehospital data acquired by emergency medical services' nurse paramedics. METHODS: Patients presenting to the emergency medical services with symptoms suggestive of ACS between September 2018 and September 2020 were included. An AI model using a supervised text classification algorithm was developed to analyze data. Data were analyzed for all 7458 patients (mean 68, SD 15 years, 54% men). Specificity, sensitivity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for control and intervention groups. At first, a machine learning (ML) algorithm (or model) was chosen; afterward, the features needed were selected and then the model was tested and improved using iterative evaluation and in a further step through hyperparameter tuning. Finally, a method was selected to explain the final AI model. RESULTS: The AI model had a specificity of 11% and a sensitivity of 99.5% whereas usual care had a specificity of 1% and a sensitivity of 99.5%. The PPV of the AI model was 15% and the NPV was 99%. The PPV of usual care was 13% and the NPV was 94%. CONCLUSIONS: The AI model was able to predict ACS based on retrospective data from the prehospital setting. It led to an increase in specificity (from 1% to 11%) and NPV (from 94% to 99%) when compared to usual care, with a similar sensitivity. Due to the retrospective nature of this study and the singular focus on ACS it should be seen as a proof-of-concept. Other (possibly life-threatening) diagnoses were not analyzed. Future prospective validation is necessary before implementation.