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.

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.

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.

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.

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.

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.

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.

[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.

SISTER (system implementation of select transfers in emergency room) model to reduce ED boarding.

OBJECTIVE: This study describes a novel transfer model implemented between an academic, level 1 trauma center (Hospital A) and a nearby affiliate community hospital (Hospital B). Primary outcome is change in boarding hours and percentage of boarders in the Hospital A emergency department. Secondary objectives of this study include how improved flow in the emergency department to reduce boarding improves length of stay, prevents patients from escalating to more acute acuity levels of care, reduces patient morbidity and mortality and therefore improves health care costs as well. METHODS: A retrospective chart review was conducted over a consecutive 14-months period of all patients that presented to main hospital emergency department who were transferred to the Hospital B for inpatient admission. This included analysis of patient cohort characteristics, hospital LOS, return rate to the Hospital A (boomerang), rates of against medical advice (AMA) dispositions, post-discharge recidivism, in addition to enterprise data on total number of boarders, percent of boarders, and total boarding hours. RESULTS: There was a total of 718 transfer encounters during the study period. Percent boarding decreased from 70.6% in the pre-period to 63.8% in the post-period (p < 0.001). Total boarding hours decreased at both the main hospital and the sister hospital with this transfer process. The median length of stay at the sister hospital was 74 h, with 9 upgrades to ICU admissions. Five patients were dispositioned back to the hospital A after admission to hospital B. CONCLUSION: A distributive model was useful in transferring admissions within a healthcare system, reducing number of boarders, percent of boarders, and boarding hours in Hospital A emergency department. Furthermore, the Hospital B was an appropriate location for transfers, based on the low number of ICU transfers and dispositions back to the main hospital.

Solving the housing crisis in Nunavut, Canada.

In Canada, there are vast differences between the state of accommodation/housing, health, social inequalities, education and economic conditions for people in the northern and southern regions of the country. Overcrowding in Inuit Nunangat is a direct result of the promises made by past government policy that led to Inuit people settling in sedentary communities in the North on the understanding that they would be provided with social welfare. However, these welfare programmes proved to be either insufficient or non-existent for Inuit people. Therefore, Inuit are living in overcrowded homes in Canada, resulting in a severe housing shortage, poor-quality housing and homelessness. This has led to the spread of contagious diseases, mould, mental-health issues, gaps in education for children, sexual and physical violence, food insecurity and adverse challenges for the youth of Inuit Nunangat. This paper proposes several actions to ease the crisis. First, funding should be stable and predictable. Next, there should be ample construction of transitional homes which could be used to accommodate people before moving them into proper public housing. Policies regarding staff housing should be amended, and if possible, these vacant staff houses could provide shelter to eligible Inuit people, which could help lessen the housing crisis. The advent of COVID-19 has made the issue of affordable and safe housing more serious because without safe housing, the health, education and well-being of the Inuit people in Inuit Nunangat are in peril. This study focuses on how the governments of Canada and Nunavut are dealing with this issue.

Early Warning Software for Emergency Department Crowding.

Emergency department (ED) crowding is a well-recognized threat to patient safety and it has been repeatedly associated with increased mortality. Accurate forecasts of future service demand could lead to better resource management and has the potential to improve treatment outcomes. This logic has motivated an increasing number of research articles but there has been little to no effort to move these findings from theory to practice. In this article, we present first results of a prospective crowding early warning software, that was integrated to hospital databases to create real-time predictions every hour over the course of 5 months in a Nordic combined ED using Holt-Winters' seasonal methods. We show that the software could predict next hour crowding with an AUC of 0.94 (95% CI: 0.91-0.97) and 24 hour crowding with an AUC of 0.79 (95% CI: 0.74-0.84) using simple statistical models. Moreover, we suggest that afternoon crowding can be predicted at 1 p.m. with an AUC of 0.84 (95% CI: 0.74-0.91).

Reducing Nonemergent Visits to the Emergency Department in a Veterans Affairs Multistate System.

STUDY OBJECTIVE: The purpose of this quality improvement study was to reduce nonemergent visits to the emergency department attendance within a multistate Veterans Health Affairs network. METHODS: Telephone triage protocols were developed and implemented for registered nurse staff to triage selected calls to a same-day telephonic or video virtual visit with a provider (physician or nurse practitioner). Calls, registered nurse triage dispositions, and provider visit dispositions were tracked for 3 months. RESULTS: There were 1606 calls referred by registered nurses for provider visits. Of these, 192 were initially triaged as emergency department dispositions. Of these, 57.3% of calls that would have been referred to the emergency department were resolved via the virtual visit. Thirty-eight percent fewer calls were referred to the emergency department following licensed independent provider visit compared to the registered nurse triage. CONCLUSION: Telephone triage services augmented by virtual provider visits may reduce emergency department disposition rates, resulting in fewer nonemergent patient presentations to the emergency department and reducing unnecessary emergency department overcrowding. Reducing nonemergent attendance to emergency departments can improve outcomes for patients with emergent dispositions.

Five Level Triage vs. Four Level Triage in a Quaternary Emergency Department: National Analysis on Waiting Time, Validity, and Crowding-The CREONTE (Crowding and RE-Organization National TriagE) Study Group.

Background and Objectives: Triage systems help provide the right care at the right time for patients presenting to emergency departments (EDs). Triage systems are generally used to subdivide patients into three to five categories according to the system used, and their performance must be carefully monitored to ensure the best care for patients. Materials and Methods: We examined ED accesses in the context of 4-level (4LT) and 5-level triage systems (5LT), implemented from 1 January 2014 to 31 December 2020. This study assessed the effects of a 5LT on wait times and under-triage (UT) and over-triage (OT). We also examined how 5LT and 4LT systems reflected actual patient acuity by correlating triage codes with severity codes at discharge. Other outcomes included the impact of crowding indices and 5LT system function during the COVID-19 pandemic in the study populations. Results: We evaluated 423,257 ED presentations. Visits to the ED by more fragile and seriously ill individuals increased, with a progressive increase in crowding. The length of stay (LOS), exit block, boarding, and processing times increased, reflecting a net raise in throughput and output factors, with a consequent lengthening of wait times. The decreased UT trend was observed after implementing the 5LT system. Conversely, a slight rise in OT was reported, although this did not affect the medium-high-intensity care area. Conclusions: Introducing a 5LT improved ED performance and patient care.

Are Short-Stay Units Safe and Effective in the Treatment of Non-Variceal Upper Gastrointestinal Bleeding?

Introduction: Emergency Department (ED) overcrowding is a health, political, and economic problem of concern worldwide. The causes of overcrowding are an aging population, an increase in chronic diseases, a lack of access to primary care, and a lack of resources in communities. Overcrowding has been associated with an increased risk of mortality. The establishment of a Short Stay Unit (SSU) for conditions that cannot be treated at home but require treatment and hospitalization for up to 72 h may be a solution. SSU can significantly reduce hospital length of stay (LOS) for certain conditions but does not appear to be useful for other diseases. Currently, there are no studies addressing the efficacy of SSU in the treatment of non-variceal upper gastrointestinal bleeding (NVUGIB). Our study aims to evaluate the efficacy of SSU in reducing the need for hospitalization, LOS, hospital readmission, and mortality in patients with NVUGIB compared with admission to the regular ward. Materials and Methods: This was a retrospective, single-center observational study. Medical records of patients presenting with NVUGIB to ED between 1 April 2021, and 30 September 2022, were analyzed. We included patients aged >18 years who presented to ED with acute upper gastrointestinal tract blood loss. The test population was divided into two groups: Patients admitted to a normal inpatient ward (control) and patients treated at SSU (intervention). Clinical and medical history data were collected for both groups. The hospital LOS was the primary outcome. Secondary outcomes were time to endoscopy, number of blood units transfused, readmission to the hospital at 30 days, and in-hospital mortality. Results: The analysis included 120 patients with a mean age of 70 years, 54% of whom were men. Sixty patients were admitted to SSU. Patients admitted to the medical ward had a higher mean age. The Glasgow-Blatchford score, used to assess bleeding risk, mortality, and hospital readmission were similar in the study groups. Multivariate analysis after adjustment for confounders found that the only factor independently associated with shorter LOS was admission to SSU (p < 0.0001). Admission to SSU was also independently and significantly associated with a shorter time to endoscopy (p < 0.001). The only other factor associated with a shorter time to EGDS was creatinine level (p = 0.05), while home treatment with PPI was associated with a longer time to endoscopy. LOS, time to endoscopy, number of patients requiring transfusion, and number of units of blood transfused were significantly lower in patients admitted to SSU than in the control group. Conclusions: The results of the study show that treatment of NVUGIB in SSU can significantly reduce the time required for endoscopy, the hospital LOS, and the number of transfused blood units without increasing mortality and hospital readmission. Treatment of NVUGIB at SSU may therefore help to reduce ED overcrowding but multicenter randomized controlled trials are needed to confirm these data.

Effect of larval density and additional anchoring surface on the life-history traits of a laboratory colonized Anopheles funestus strain.

Optimal rearing conditions, inclusive of larval rearing density, are critical for sustained mosquito productivity. There is limited information on favourable conditions for the larval rearing of Anopheles funestus, the dominant malaria vector in east and southern Africa. This work investigated the effects of larval rearing densities and additional anchoring surface on An. funestus development using a life table approach. Larval cohorts were reared at four different larval densities using the same rearing surface area, larval food concentrations and temperature conditions. Rearing larvae at high densities extended the larval developmental time and reduced adult productivity. Adding an extra larval anchoring surface when rearing larvae at high density resulted in extended larval developmental time, increased larval survivorship and produced bigger adults. These findings improve our understanding of the relationship between larval density and developmental traits in An. funestus and provides baseline information for An. funestus rearing under laboratory conditions.

Secondary asthma prevention measures are not adequately addressed prior to emergency department discharge!

BACKGROUND: Exacerbations of acute asthma are frequent presentations to the Emergency Department (ED) and contribute to ED overcrowding and healthcare cost. The purpose of this study was to evaluate whether ED clinicians are implementing secondary asthma prevention measures prior to discharging patients after an acute asthma exacerbation and also to determine whether ED clinicians are able to correctly demonstrate how to use an asthma metered dose inhaler (MDI) device. METHODS: Consenting doctors employed at four EDs situated in the Gauteng province of South Africa were asked to complete a questionnaire and thereafter demonstrate the technique of using an MDI device. Collected data was presented using descriptive statistics. RESULTS: Eighty-six doctors were included in the study. Of these, 18 (20.9%) routinely checked that inhaler technique was correct, 50 (58.1%) routinely enquired regarding adherence to their asthma treatment, 8 (9.3%) routinely informed patients of the side effects of asthma medication, 16 (18.6%) routinely provided patients with a written asthma action plan, 7 (8.1%) routinely evaluated for the presence of concurrent allergic rhinitis and 53 (61.6%) routinely counselled patients regarding smoking cessation. With regards to correctly demonstrating how to use an MDI device, only 23 (26.74%) physician participants performed all eight steps correctly. CONCLUSION: This study indicates that secondary asthma prevention measures are not adequately addressed by clinicians prior to discharging patients from the ED after an acute asthma attack. It is recommended that ED clinicians are educated with regards to the importance of these measures.

Analysis of prevalence and sociodemographic conditions among women in labor with and without COVID-19 in public hospitals in Chile.

OBJECTIVES: The SARS-CoV-2 virus continues wreaking worldwide havoc on health and between March and August 2020, the first outbreak of COVID-19 hit Chile. The pregnant population is especially vulnerable to infection. Studies have been published that associate socioeconomic status, overcrowding, and poverty with a higher prevalence of SARS-CoV-2 infection. There are few studies about the development of this pandemic in Latin American countries so far. This study seeks to show the prevalence and sociodemographic and perinatal characteristics in pregnant women at the time of delivery, comparing both groups with positive and negative COVID-19 PCR results. METHODS: A prospective, cross-sectional study of pregnant women who delivered at the San Juan de Dios Hospital in Santiago between April 15, 2020 and June 15, 2020. Analysis of epidemiological, sociodemographic, obstetric, perinatal and sociodemographic data of patients with positive and negative COVID-19 PCR results. RESULTS: There were 701 patients included in the study. The prevalence of those with a positive COVID-19 PCR was 9.7% and 67.7% being asymptomatic. Pre-term delivery was significantly higher in the group of positive patients (23.5%) vs. negative patients (8.7%), which was not the same rate as with cesarean sections (C-sections). A 13.2% of patients required management of the pathology in the Critical Care Unit (CCU) and there were no cases of maternal or fetal deaths. We found no significant difference between both groups when analyzing socioeconomic variables, though we noted a trend of greater overcrowding among the group of patients with infection. CONCLUSIONS: The majority of pregnant patients with SARS-CoV-2 infection are asymptomatic. COVID-19 increases the rate of premature births, but this rate is not same with C-sections. Sociodemographic conditions and overcrowding do not show a higher infection rate in a homogeneous population in relation to the economic, social and demographic level.

Machine learning based forecast for the prediction of inpatient bed demand.

BACKGROUND: Overcrowding is a serious problem that impacts the ability to provide optimal level of care in a timely manner. High patient volume is known to increase the boarding time at the emergency department (ED), as well as at post-anesthesia care unit (PACU). Furthermore, the same high volume increases inpatient bed transfer times, which causes delays in elective surgeries, increases the probability of near misses, patient safety incidents, and adverse events. OBJECTIVE: The purpose of this study is to develop a Machine Learning (ML) based strategy to predict weekly forecasts of the inpatient bed demand in order to assist the resource planning for the ED and PACU, resulting in a more efficient utilization. METHODS: The data utilized included all adult inpatient encounters at Geisinger Medical Center (GMC) for the last 5 years. The variables considered were class of inpatient encounter, observation, or surgical overnight recovery (SORU) at the time of their discharge. The ML based strategy is built using the K-means clustering method and the Support Vector Machine Regression technique (K-SVR). RESULTS: The performance obtained by the K-SVR strategy in the retrospective cohort amounts to a mean absolute percentage error (MAPE) that ranges between 0.49 and 4.10% based on the test period. Additionally, results present a reduced variability, which translates into more stable forecasting results. CONCLUSIONS: The results from this study demonstrate the capacity of ML techniques to forecast inpatient bed demand, particularly using K-SVR. It is expected that the implementation of this model in the workflow of bed capacity management will create efficiencies, which will translate in a more reliable, inexpensive and timely care for patients.

Overcrowding analysis in emergency department through indexes: a single center study.

INTRODUCTION: Overcrowding in the Emergency Department (ED) is one of the major issues that must be addressed in order to improve the services provided in emergency circumstances and to optimize their quality. As a result, in order to help the patients and professionals engaged, hospital organizations must implement remedial and preventative measures. Overcrowding has a number of consequences, including inadequate treatment and longer hospital stays; as a result, mortality and the average duration of stay in critical care units both rise. In the literature, a number of indicators have been used to measure ED congestion. EDWIN, NEDOCS and READI scales are considered the most efficient ones, each of which is based on different parameters regarding the patient management in the ED. METHODS: In this work, EDWIN Index and NEDOCS Index have been calculated every hour for a month period from February 9th to March 9th, 2020 and for a month period from March 10th to April 9th, 2020. The choice of the period is related to the date of the establishment of the lockdown in Italy due to the spread of Coronavirus; in fact on 9 March 2020 the Italian government issued the first decree regarding the urgent provisions in relation to the COVID-19 emergency. Besides, the Pearson correlation coefficient has been used to evaluate how much the EDWIN and NEDOCS indexes are linearly dependent. RESULTS: EDWIN index follows a trend consistent with the situation of the first lockdown period in Italy, defined by extreme limitations imposed by Covid-19 pandemic. The 8:00-20:00 time frame was the most congested, with peak values between 8:00 and 12:00. on the contrary, in NEDOCS index doesn't show a trend similar to the EDWIN one, resulting less reliable. The Pearson correlation coefficient between the two scales is 0,317. CONCLUSION: In this study, the EDWIN Index and the NEDOCS Index were compared and correlated in order to assess their efficacy, applying them to the case study of the Emergency Department of "San Giovanni di Dio e Ruggi d'Aragona" University Hospital during the Covid-19 pandemic. The EDWIN scale turned out to be the most realistic model in relation to the actual crowding of the ED subject of our study. Besides, the two scales didn't show a significant correlation value.

A case study to investigate the impact of overcrowding indices in emergency departments.

BACKGROUND: Emergency department (ED) overcrowding is widespread in hospitals in many countries, causing severe consequences to patient outcomes, staff work and the system, with an overall increase in costs. Therefore, health managers are constantly looking for new preventive and corrective measures to counter this phenomenon. To do this, however, it is necessary to be able to characterize the problem objectively. For this reason, various indices are used in the literature to assess ED crowding. In this work, we explore the use of two of the most widespread crowding indices in an ED of an Italian national hospital, investigate their relationships and discuss their effectiveness. METHODS: In this study, two of the most widely used indices in the literature, the National Emergency Department Overcrowding Scale (NEDOCS) and the Emergency Department Working Index (EDWIN), were analysed to characterize overcrowding in the ED of A.O.R.N. "A. Cardarelli" of Naples, which included 1678 clinical cases. The measurement was taken every 15 minutes for a period of 7 days. RESULTS: The results showed consistency in the use of EDWIN and NEDOCS indices as measures of overcrowding, especially in severe overcrowding conditions. Indeed, in the examined case study, both EDWIN and NEDOCS showed very low rates of occurrence of severe overcrowding (2-3%). In contrast, regarding differences in the estimation of busy to overcrowded ED rates, the EDWIN index proved to be less sensitive in distinguishing these variations in the occupancy of the ED. Furthermore, within the target week considered in the study, the results show that, according to both EDWIN and NEDOCS, higher overcrowding rates occurred during the middle week rather than during the weekend. Finally, a low degree of correlation between the two indices was found. CONCLUSIONS: The effectiveness of both EDWIN and NEDOCS in measuring ED crowding and overcrowding was investigated, and the main differences and relationships in the use of the indices are highlighted. While both indices are useful ED performance metrics, they are not always interchangeable, and their combined use could provide more details in understanding ED dynamics and possibly predicting future critical conditions, thus enhancing ED management.