Hospital Beds Research Articles

Health system resilience during the COVID-19 pandemic: A comparative analysis of disruptions in care from 32 countries.

To quantify disruptions in hospitalization and ambulatory care throughout the coronavirus disease 2019 (COVID-19) pandemic for 32 countries, and examine associations of health system characteristics and COVID-19 response strategies on disruptions. We utilized aggregated inpatient hospitalization and surgical procedure data from the Organization for Economic Co-operation and Development Health Database from 2010 to 2021. Covariate data were extracted from the Organization for Economic Co-operation and Development Health Database, World Health Organization, and Oxford COVID-19 Government Response Tracker. This is a descriptive study using time-series analyses to quantify the annual effect of the COVID-19 pandemic on non-COVID-19 hospitalizations for 20 diagnostic categories and 15 surgical procedures. We compared expected hospitalizations had the pandemic never occurred in 2020-2021, estimated using autoregressive integrated moving average modeling with data from 2010 to 2019, with observed hospitalizations. Observed-to-expected ratios and missed hospitalizations were computed as measures of COVID-19 impact. Mixed linear models were employed to examine associations between hospitalization observed-to-expected ratios and covariates. The COVID-19 pandemic was associated with 16,300,000 (95% uncertainty interval 14,700,000-17,900,000; 18.0% [16.5%-19.4%]) missed hospitalizations in 2020. Diseases of the respiratory (-2,030,000 [-2,300,000 to -1,780,000]), circulatory (-1,680,000 [-1,960,000 to -1,410,000]), and musculoskeletal (-1,480,000 [-1,720,000 to -1,260,000]) systems contributed most to the declines. In 2021, there were an additional 14,700,000 (95% uncertainty interval 13,100,000-16,400,000; 16.3% [14.9%-17.9%]) missed hospitalizations. Total healthcare workers per capita (β = 1.02 [95% CI 1.00, 1.04]) and insurance coverage (β = 1.05 [1.02, 1.09]) were associated with fewer missed hospitalizations. Stringency index (β = 0.98 [0.98, 0.99]) and excess all-cause deaths (β = 0.98 [0.96, 0.99]) were associated with more missed hospitalizations. There was marked cross-country variability in disruptions to hospitalizations and ambulatory care. Certain health system characteristics appeared to be more protective, such as insurance coverage, and number of inputs including healthcare workforce and beds. Substantial disruptions in health services associated with the coronavirus disease 2019 pandemic have placed a renewed interest in health system resilience. While there is a growing body of evidence documenting disruptions in services, there are limited comparative assessments across diverse countries with different health system designs, preparedness levels, and public health responses. Learning and adapting from health system-specific gaps and challenges highlighted by the pandemic will be critical for improving resilience. All countries experienced disruptions to hospitalizations and surgical procedures with a combined total of 30 million missed hospitalizations and 4 million missed surgical procedures in 2020-2021, but there was marked cross-country heterogeneity in disruptions. Countries with greater baseline healthcare workers, insurance coverage, and hospital beds had disproportionately lower disruptions in care. National health planning discussions may need to balance health system resiliency and efficiency to avert preventable morbidity and mortality.

Hybrid emergency care at the home for patients – A multiple case study

IntroductionHealthcare systems worldwide are facing numerous challenges, such as an aging population, reduced availability of hospital beds, staff reductions and closure of emergency departments (ED). These issues can exacerbate crowding and boarding problems in the ED, negatively impacting patient safety and the work environment. In Sweden a hybrid of prehospital and intrahospital emergency care has been established, referred to in this article as Medical Emergency Team (MET), to meet the increasing demand for emergency care. MET, consisting of physicians and nurses, moving emergency care from EDs to patients’ home. Physicians and nurses may encounter challenges in their healthcare work, such as limited resources for example medical equipment, sampling and examination, in unfamiliar varying home environments. There is a lack of knowledge about how these challenges can influence patient care. Therefore, the aim of this study was to explore the healthcare work of the METs when addressing patients’ emergency care needs in their homes, with a focus on the METs reasoning and actions.MethodsUsing a qualitative multiple case study design, two METs in southwestern Sweden were explored. Data were collected from September 2023 – January 2024 and consist of field notes from participant observations, short interviews and written reflections. A qualitative manifest content analysis with an inductive approach was used as the analysis method.ResultThe result of this study indicates that physicians and nurses face several challenges in their daily work, such as recurring interruptions, miscommunication and faltering teamwork. Some of these problems may arise because physicians and nurses are not accustomed to working together as a team in a different care context. These challenges can lead to stress, which ultimately can expose patients to unnecessary risks.ConclusionWhen launching a new service like METs, which is a hybrid of prehospital and intrahospital emergency care, it is essential to plan and prepare thoroughly to effectively address the challenges and obstacles that may arise. One way to prepare is through team training. Team training can help reduce hierarchical structures by enabling physicians and nurses to feel that they can contribute, collaborate, and take responsibility, leading to a more dynamic and efficient work environment.

A SIMPLE FRAILTY INDEX PREDICTS IN-HOSPITAL MORTALITY.

Comparing frailty models in different settings that predict in-hospital mortality might modify patient disposition and treatment, but models are often complex. In the following study we selected all acutely admitted adult patients in 2020- 2021 to the three internal medicine departments at a regional 400-bed hospital. We attempt to determine (a) if a new scale (Laniado-4 scale) that includes only three yes/no questions derived from the Norton scale and the presence of a urinary catheter performs as well as the graded Norton scale (including all five domains), in predicting in-hospital mortality and (b) to determine the predictive value of a simple frailty index that includes the new scale as well as categories of age, serum albumin, and creatinine values. We calculated odds ratios with 95% confidence intervals and c-statistics for the various models predicting in-hospital mortality. The mean patient age was 73±19 years, and 49.1% (5665/11542) were males. A Laniado-4 scale performed better than the Norton scale for predicting in-hospital mortality. A simple frailty index ranging from 0 to ≥8 points was associated with rates of in-hospital mortality that increased from 0 to 37.7%, with an odds ratio of 2.13(2.03-2.25) per 1 index point. The c-statistic was 0.887 (0.881-0.893). We conclude the Laniado-4 scale performed better than the Norton scale in predicting in-hospital mortality and that a simple frailty index that included the 4-question scale and categories of age, serum creatinine, and serum albumin performed as well or better than more complicated models.

Strapped in the Hospital Bed.

Strapped in the Hospital Bed.

The benefits of active management of coronary heart disease (CHD) in Wales: how the use of routine collected administrative data can drive efficiency and encourage best practice in condition management.

Objective and ApproachWe analysed the effect on subsequent costs of the setting of the first contact for patients with coronary heart disease in Wales. By categorising health events as proactive or reactive, from the event data source (proactive = primary care (general practice) interactions, elective hospital bed days and outpatient attendances. Reactive = accident and emergency (A&E) attendances and emergency hospital bed days). A standard cost was applied to obtain an annualised cost for each patient. The unit cost for each source was GP £36, bed days £398, outpatient £143, A&E £188. ResultsWe found 42,563 people having CHD events during 2015-2019. Of these, 18,390 had a proactive event as their first event, 23,840 had a reactive event first. The ratio of proactive to reactive events was 1: 3.7 (ratio of costs were £1: £6.30). When the first event was proactive the ratio of events was 1: 0.85 (costs were £1: £1.33). When the first event was reactive the ratio was 1: 4.4 (costs were £1: £33.00). Conclusion and ImplicationsThe setting of the first contact appears to be key, with costs reducing by a factor of 14 if the first contact was carried out in a planned environment. Can investment in more active management of a condition reduce overall costs? The work has highlighted the power of using anonymised population-scale linked individual-level data and indicates the health resource reductions possible from improved managed care of patients.

Risk management and insurance failures: the case of Ghana’s National Health Insurance Scheme

Since its inception, Ghana’s National Health Insurance Scheme (NHIS) has brought about notable improvements in healthcare access and health outcomes. However, challenges have arisen, threatening its intended function. This study aims to investigate the challenges encountered by NHIS participants and their risk management practices in response to insurance failures. Convenience and purposeful sampling techniques were employed to gather data from 45 Quality Insurance Company (QIC) employees residing in the Greater Accra area of Ghana who are NHIS members. A quantitative approach was utilized, and a questionnaire was administered to collect data. The study employed Cronbach’s alpha to assess the reliability and validity of the data. Additionally, Regression analysis, correlation, and descriptive statistics were utilized to achieve the study's objectives. The study revealed several challenges facing the NHIS, including a shortage of medical specialists, medications, and hospital beds, as well as high patient out-of-pocket expenses. Despite these challenges, the NHIS has not yet failed. However, the majority of NHIS cardholders (62.20%) would be adversely affected in the event of system failure, as they primarily rely on NHIS for risk management. Conversely, a minority of participants (37.80%) are less likely to experience the effects of failure due to alternative insurance plans and personal savings. Therefore, understanding these dynamics is crucial for policymakers and stakeholders to strengthen the NHIS and ensure sustainable healthcare access for all Ghanaians.

Association Between Hospital Type and Resilience During COVID-19 Caseload Stress : A Retrospective Cohort Study.

Imbalances between hospital caseload and care resources that strained U.S. hospitals during the pandemic have persisted after the pandemic amid ongoing staff shortages. Understanding which hospital types were more resilient to pandemic overcrowding-related excess deaths may prioritize patient safety during future crises. To determine whether hospital type classified by capabilities and resources (that is, extracorporeal membrane oxygenation [ECMO] capability, multiplicity of intensive care unit [ICU] types, and large or small hospital) influenced COVID-19 volume-outcome relationships during Delta wave surges. Retrospective cohort study. 620 U.S. hospitals in the PINC AI Healthcare Database. Adult inpatients with COVID-19 admitted July to November 2021. Hospital-months were ranked by previously validated surge index (severity-weighted COVID-19 inpatient caseload relative to hospital bed capacity) percentiles. Hierarchical models were used to evaluate the effect of log-transformed surge index on the marginally adjusted probability of in-hospital mortality or discharge to hospice. Effect modification was assessed for by 4 mutually exclusive hospital types. Among 620 hospitals recording 223 380 inpatients with COVID-19 during the Delta wave, there were 208 ECMO-capable, 216 multi-ICU, 36 large (≥200 beds) single-ICU, and 160 small (<200 beds) single-ICU hospitals. Overall, 50 752 (23%) patients required admission to the ICU, and 34 274 (15.3%) died. The marginally adjusted probability for mortality was 5.51% (95% CI, 4.53% to 6.50%) per unit increase in the log surge index (strain attributable mortality = 7375 [CI, 5936 to 8813] or 1 in 5 COVID-19 deaths). The test for interaction showed no difference (P = 0.32) in log surge index-mortality relationship across 4 hospital types. Results were consistent after excluding transferred patients, restricting to patients with acute respiratory failure and mechanical ventilation, and using alternative strain metrics. Residual confounding. Comparably detrimental relationships between COVID-19 caseload and survival were seen across all hospital types, including highly advanced centers, and well beyond the pandemic's learning curve. These lessons from the pandemic heighten the need to minimize caseload surges and their effects across all hospital types during public health and staffing crises. Intramural Research Program of the National Institutes of Health Clinical Center.

Evolving patterns of COVID-19 mortality in US counties: A longitudinal study of healthcare, socioeconomic, and vaccination associations.

The COVID-19 pandemic emphasized the need for pandemic preparedness strategies to mitigate its impacts, particularly in the United States, which experienced multiple waves with varying policies, population response, and vaccination effects. This study explores the relationships between county-level factors and COVID-19 mortality outcomes in the U.S. from 2020 to 2023, focusing on disparities in healthcare access, vaccination coverage, and socioeconomic characteristics. We conduct multi-variable rolling regression analyses to reveal associations between various factors and COVID-19 mortality outcomes, defined as Case Fatality Rate (CFR) and Overall Mortality to Hospitalization Rate (OMHR), at the U.S. county level. Each analysis examines the association between mortality outcomes and one of the three hierarchical levels of the Social Vulnerability Index (SVI), along with other factors such as access to hospital beds, vaccination coverage, and demographic characteristics. Our results reveal persistent and dynamic correlations between various factors and COVID-19 mortality measures. Access to hospital beds and higher vaccination coverage showed persistent protective effects, while higher Social Vulnerability Index was associated with worse outcomes persistently. Socioeconomic status and vulnerable household characteristics within the SVI consistently associated with elevated mortality. Poverty, lower education, unemployment, housing cost burden, single-parent households, and disability population showed significant associations with Case Fatality Rates during different stages of the pandemic. Vulnerable age groups demonstrated varying associations with mortality measures, with worse outcomes predominantly during the Original strain. Rural-Urban Continuum Code exhibited predominantly positive associations with CFR and OMHR, while it starts with a positive OMHR association during the Original strain. This study reveals longitudinal persistent and dynamic factors associated with two mortality rate measures throughout the pandemic, disproportionately affecting marginalized communities. The findings emphasize the urgency of implementing targeted policies and interventions to address disparities in the fight against future pandemics and the pursuit of improved public health outcomes.

Impact of the COVID-19 pandemic on cancer mortality in Brazil

BackgroundIn the first year of the COVID-19 pandemic, data projections indicated an increase in cancer mortality for the following years due to the overload of health services and the replacement of health priorities. The first studies published with data from mortality records have not confirmed these projections. However, cancer mortality is not an outcome that occurs immediately, and analyses with more extended follow-up periods are necessary. This study aims to analyze the impact of the COVID-19 pandemic on the mortality from all types and the five most common types of cancer in Brazil and investigate the relationship between the density of hospital beds and mortality from COVID-19 in cancer patients in Brazil’s Intermediate Geographic Regions (RGIs).MethodsThe Brazilian Mortality Information System provided data on the deaths from trachea, bronchus, and lung, colorectal, stomach, female breast, and prostate cancer and all types of cancer, and from COVID-19 in individuals who had cancer as a contributing cause of death. Predicted rates for 2020–2022 were compared with the observed ones, through a rate ratio (RR). An association analysis, through multivariate linear regression, was carried out between mortality from COVID-19 in cancer patients, the rate of hospital beds per 100,000 inhabitants, and the Human Development Index of the 133 RGIs of Brazil.ResultsIn 2020, 2021, and 2022, mortality from all cancers in Brazil was lower than expected, with an RR of 0.95, 0.94, and 0.95, respectively, between the observed and predicted rates. Stomach cancer showed the largest difference between observed and expected rates: RR = 0.89 in 2020 and 2021; RR = 0.88 in 2022. Mortality from COVID-19 in cancer patients, which reached its peak in 2021 (6.0/100,000), was negatively associated with the density of hospital beds in the public health system.ConclusionsThe lower-than-expected cancer mortality during 2020–2022 seems to be partly explained by mortality from COVID-19 in cancer patients, which was probably underestimated in Brazil. The findings suggested a protective role of the availability of hospital care concerning deaths due to COVID-19 in this population. More extensive follow-up is needed to understand the impact of the COVID-19 pandemic on cancer mortality.

A Patient and Public Engagement Project to Inform Dementia Care in a UK Hospital Trust.

The increasing prevalence of dementia in the United Kingdom presents significant challenges for healthcare, with projections estimating over a million affected individuals by 2025, costing the NHS £6.3 billion annually. Hospital admissions among dementia patients are common, occupying about 25% of UK hospital beds and leading to prolonged stays and diminished health outcomes. This paper presents the opening stages, part of a larger project where Patient and Public Involvement and Engagement (PPIE) was employed to understand and navigate what it means for hospital care for a person living with dementia. To understand hospital care for dementia patients, focus groups were conducted through dementia cafés in Essex and Suffolk from February to July 2023 engaging patients, carers and family members. Recognised processes for reporting PPIE and thematic analysis were used and identified six themes and 21 subthemes regarding hospital care: individualised care, role of carers, basic care, interpersonal communication, information sharing and staffing. The results from the PPIE will be used to inform and work with stakeholders through the next phases of the project, which involves examining care processes in the hospital, identifying touchpoints and evaluating these areas. The project continues to be informed by stakeholders including people living with dementia, carers and staff. Additionally, the results may inform other service providers for care enhancements, processes and delivery. Moving forward, the study emphasises the importance of building collaborative relationships with stakeholders involved in dementia care. Additionally, it provides insights to focus areas that are fundamental for acute care organisations when delivering care to people living with dementia. By incorporating insights from PPIE, this project seeks to identify inequalities in dementia care services, improve hospital care for people living with dementia, fostering a more inclusive and supportive healthcare environment. The purpose of the study was to explore the most important issues around hospital care for people with dementia, their carers and families. Persons living with dementia, carers and family members were involved in the study through community dementia cafés and recruited to take part in focus groups to discuss hospital care for patients with dementia. The design of questions and materials for the discussions was developed through consultation with the university department's service user lead and dementia specialist and reviewed by a service user member living with dementia. A pilot focus group was conducted with a group of carers. We worked with the dementia café managers to coordinate recruitment and a suitable environment to run the focus groups. Not applicable.

FP3.13 - Acute Complicated Diverticulitis: Colorectal Cancer in Disguise? Five Years of Follow-up Practice at a 600-bed Hospital

Abstract Aims Complicated diverticular disease is associated with colonic neoplasia rates of 7.8% to 10.9%. ACPGBI guidelines recommend optical or virtual colonoscopy six weeks following an attack of acute complicated diverticulitis unless performed within the preceding two years. It has been posited that flexible sigmoidoscopy may be sufficient to rule out malignancy given that diverticulitis predominantly affects the sigmoid colon. Five years of practice at a 600-bed hospital was audited to the ACPGBI standard and malignancy rates and locations investigated. Methods All emergency admissions coded for acute complicated diverticulitis from January 2017 to December 2022 were included. Patient electronic records were reviewed retrospectively for demographic data, operation notes, as well as radiology, endoscopy and histology reports. Results A total of 197 patients were included in the study period. 97 cases underwent emergency or semi-elective resection within one year. 8 patients had colonic visualisation in the two years prior to their attack, leaving 92 cases in whom colonic visualisation was indicated. 44 patients had colonoscopy, 22 had flexible sigmoidoscopy, 2 had CT colonography and 24 had no further imaging. 7 malignancies were identified, 5 from resection specimens and 2 from endoscopy. All tumours were in sigmoid colon. Conclusions The ACPGBI standard was met in 50% (46/92) of cases. If flexible sigmoidoscopy were deemed acceptable this would increase to 74% (68/92). Malignancy was identified in 4% (7/197) of cases. All malignancies were in the range of flexible sigmoidoscopy, suggesting full colonoscopy may be superfluous. Less extensive endoscopy may reduce procedure duration, bowel preparation and patient discomfort.

WP5.19 - The undifferentiated general surgical take over 10 years: admissions

Abstract Aims The aim of this study is to review the undifferentiated emergency general surgical take, with regards to admissions in July 2013 and July 2023, at a District General Hospital in order to understand the specific pressures on the department and to identify areas in which we could adapt to facilitate these demands. Methods Retrospective data regarding admission and re-admission on all patients treated by the emergency general surgical team in July 2013 and July 2023 was collected from electronic notes. If insufficient information was available, patients were excluded from analysis. Results Patient numbers increased by 50% from 2013 to 2023, from 395 to 594. Average length of stay in 2013 was 3.26 days (+/-0.2, p = 0.03), reducing to 2.58 days (+/-0.2, p = 0.03) in 2023. Number of patients admitted overnight has decreased from 74% (n=291/395) in 2013, to 54% (n=324/594) in 2023. Proportion of referrals from ED increased from 48% in 2013, to 69% in 2023. Planned reviews and patients ambulated for surgery the following day has increased from 4% of all patients seen in 2013, to 16% in 2023. Conclusions Volume of patients has increased significantly over this 10-year period. Simultaneously, duration and number of overnight admissions have decreased, alongside increasing use of ambulatory services. This reflects the aims of the Government, and the Royal College of Surgeons, with increasing investment in day-case and ambulatory services. However, without an increase in hospital bed numbers, the rising volume of patients may become difficult to manage.

Impact of robotic-assisted surgery on length of hospital stay in Paris public hospitals: a retrospective analysis

The number of available hospital beds is decreasing in many countries. Reducing the length of hospital stay (LOS) and increasing bed turnover could improve patient flow. We evaluated whether robot-assisted surgery (RAS) had a beneficial impact on the LOS in a French hospital trust with a long-established robotic program (Assistance Publique–Hôpitaux de Paris, AP-HP). We extracted data from “Programme de Médicalisation des Systèmes d’Information” to determine the median LOS for adults in our trust after RAS versus laparoscopy and open surgery in 2021–2022 for eight target procedures, and compared data nationally and at similar academic centres (same database). We also calculated the number of hospitalisation days ‘saved’ using RAS. Overall, 9326 target procedures were performed at AP-HP: 3864 (41.4%) RAS, 2978 (31.9%) laparoscopies, and 2484 (26.6%) open surgeries. The median LOS for RAS was lower than laparoscopy and open surgery for all procedures, apart from hysterectomy and colectomy (equivalent to laparoscopy). Results for urological procedures at AP-HP reflected national values. The equivalent of 5390 hospitalisation days was saved in 2021–2022 using RAS instead of open surgery or laparoscopy at AP-HP; of these, 86% represented hospitalisation days saved using RAS in urological procedures. Using RAS instead of open surgery or laparoscopy (particularly in urological procedures) reduced the median LOS and may save thousands of hospitalisation days every year. This should help to increase patient turnover and facilitate patient flow.

Association between intra-articular hyaluronic acid injections in delaying total knee arthroplasty and safety evaluation in primary knee osteoarthritis: analysis based on Health Insurance Review and Assessment Service (HIRA) claim database in Republic of Korea

BackgroundThe prevalence of knee osteoarthritis (KOA), a progressive degenerative disease, is gradually increasing, and it is a progressive degenerative disease. In patients with mild-to-moderate KOA, intra-articular hyaluronic acid (IA-HA) has been shown to be an effective non-operative treatment option that can provide significant pain relief and symptom improvement by increasing intra-articular viscoelasticity. This study aimed to evaluate the efficacy of IA-HA injections in delaying total knee arthroplasty (TKA) and the safety of IA-HA according to IA-HA type and combination with intra-articular corticosteroid (IA-CS) using a large health insurance claim database.MethodsFor this retrospective cohort study, the study population included patients aged ≥ 50 years with a first diagnosis of KOA between 2009 and 2014, who underwent TKA by 2020, using the Health Insurance Review and Assessment Service claim database in Republic of Korea. IA-HA injections were categorized as single or multiple injection regimen agents. Cox proportional hazard models estimated hazard ratios (HR) for TKA risk, adjusted for covariates. Logistic regression assessed the occurrence of adverse events after IA-HA administration.ResultsIn all, 36,983 patients were included. Patients who received IA-HA injections had a significantly longer time to TKA compared to those who did not (mean delay of approximately 1 year). The IA-HA group had a significantly lower risk of TKA (HR: 0.61, 95% CI: 0.60–0.62) than non-IA-HA group after adjusting for covariates, which included age, sex, medical history, number of hospital beds, and CS injection. Single injection IA-HA regimen agents showed the longest time to TKA and lowest risk (HR: 0.56, 95% CI: 0.53–0.59). TKA risk decreased with the number of IA-HA cycles. Adverse events occurred in 6.7% of IA-HA cases without CS, with very low incidence of infection. Multiple injection regimen agents (multiple injection regimen 7.0% vs. single injection regimen 3.6%) and concurrent IA-CS use (concurrent IA-CS use 13.9% vs. IA-HA only 6.7%) were associated with higher infection risk.ConclusionIA-HA injections were associated with a significant delay in TKA among patients with KOA. Single-injection regimen agents had the lowest TKA risk. Infection risk increased with multiple injections and concurrent IA-CS use. These findings could suggest the use of IA-HA as an effective non-operative intervention option for managing KOA and delaying TKA. Careful selection of IA-HA type and consideration of concurrent IA-CS use could play a role in delaying the time to TKA and reducing complications.

Estimating release of the antibiotic metronidazole into the environment from hospital effluents and assessment of the associated ecological risk: a case study in Isfahan, Iran (2023)

Hospital effluents are important sources for the release of pharmaceuticals into the environment. Metronidazole (MTZ) is one of the most popular antimicrobial agent, widely used in veterinary and human medicine. This study aims to determine the concentrations of MTZ in the effluent of hospitals and to evaluate ecotoxicological risk for aquatic organisms. Grab samples were taken from the effluents of 15 large hospitals in Isfahan City (Iran) and MTZ concentrations were analyzed using HPLC-UV. Average daily MTZ prescriptions for patients in each hospital was also determined. MTZ was detected in effluents of all 15 hospitals in the range of 0.3 to 9.5 µg/L (mean = 4.8 ± 6.4 µg/L). A significant correlation was observed between MTZ concentration in hospital effluent and MTZ prescription as well as the hospital beds. Ecological risk assessment showed MTZ contamination of hospital effluent from 7 of 15 hospitals had median risk (risk quotient of 0.1 to 1) for green algae (Chlorella sp.) while the effluent of all hospitals had minimal risk (risk quotient <0.1) for gram-negative bacteria (Vibrio fischeri) and aquatic crustaceans (Daphnia magna). It is necessary to develop efficient treatment methods for the removal of MTZ from the hospital effluents before discharging them into the municipal wastewater systems.

Effective Utilization of Pre Engineering building (PEB) construction for Development of Rapid Healthcare facilitates in Medical Emergency

World is developing at a faster pace in all spheres of technology. The parameters whichdetermine the development have changed a lot in the recent past and will keep changing in future too.Rapid rise in levels of education, high rates of technological innovations and applications, ever faster andcheaper communication that dissolves physical and social barriers both within countries andinternationally, greater availability and easier access to information, and the further opening up of globalmarkets are the set of catalytic forces that is accelerating the speed of social change throughout theworld.Pre Engiering building is one of the best application of fast track construction Pre-Engineered Buildingconcept involves the steel building systems which are predesigned and prefabricated .The presentconstruction methodology calls for the best aesthetic look, high quality fast construction, costeffective innovative touch. One has to think for alternative construction system like pre-engineeredsteel buildings. In recent years, the introduction of Pre Engineered Building (PEB) concept in the designof structures has helped in optimizing design. In this report the detail explore of pre engineering as afast tack construction’s application discuss . As the world battles the ongoing COVID-19 pandemic, ithas become very clear that societies depend on functioning healthcare facilities. The sufficientavailability of hospital beds, healthcare staff, protective gear or ventilators can make all the differencebetween a situation that is still manageable and a severe crisis. for this infrastructure facilities should beprepare in short time ,For this EPS Pannel and UPVC panels will be use for rapid construction ofhealthcare facilities

Comparison of effectiveness indicators before and during the COVID-19 pandemic in a university hospital

Objective: Our aim in this study is to reveal to what extent hospital efficiency indicators changed in a University Hospital between the period before the Covid 19 pandemic (2018-2019) and the period when the pandemic started and continued (2020-2021). Method: The study planned as a retrospective and descriptive type, data belongs to a 4-year period (2018-2021). The number of personnel for the years examined in the study, the number of applications to the outpatient clinic and emergency department calculated monthly and the number of deceased patients. Bed occupancy rate, inpatient rate, average patient stay days, bed turnover rate and bed turnover interval were used as hospital bed utilization efficiency indicators. Result: Among all years, April 2020 had the lowest number of emergency applications (n=1287) and total number of outpatient clinic applications (n=7530). The year with the highest bed occupancy rate was 2020 with 77.2±6.7. The highest inpatient rate was in 2020 with 6.7±2.1, the highest average day of stay was in 2021 with 10.8±2.2, the highest bed turnover rate was in 2018 and 2019 with 4.7±0.3 and the highest bed turnover interval was observed in 2021 with 5.2±2.2. April 2020 was the month with the highest inpatient rate at 11.8% and the highest bed turnover interval at 16.8. Conclusion: The number of patients applying to emergency departments and outpatient clinics decreased, the inpatient rate increased, the bed turnover rate decreased, the bed turnover interval extended and the average day of stay increased during the pandemic period.

Activities of psychiatrists in specialized coronavirus disease 2019 wards at Juntendo Hospital.

Since the onset of the coronavirus disease 2019 (COVID-19) pandemic in 2020, specialized COVID-19 wards have been established in general hospitals across Japan. Juntendo Hospital also established a dedicated COVID-19 ward; however, many hospitalized patients were found to have psychiatric symptoms, such as delirium and depression. Juntendo Hospital's COVID-19 specialist beds were staffed mainly by internists, who specialized in physical illnesses and were unfamiliar with psychiatric symptoms, making it difficult for them to provide adequate treatment. Some staff members were also found to be suffering from mental illness, compounding these issues. In 2021, to address these challenges, Juntendo Hospital's psychiatry department began having psychiatrists make rounds once a week in specialized COVID-19 wards. The number of consultations varied depending on the status of the COVID-19 epidemic; however, in the peak month, 45 consultations were made per month. Most consultations involved delirium and neurotic conditions, and there had been over 200 consultations for both by August 2023. We addressed not only the mental symptoms of the patients, but also the health status of the staff at the hospital beds, and took measures to maintain the mental health of the staff. Consequently, the hospital has not experienced any large-scale medical breakdowns due to excessive staff fatigue. New pandemics of emerging infectious diseases will likely occur in the future, and we believe that we need to learn from this pandemic and prepare for future pandemics.

SARS-COV-2 breakthrough infection and its covariates among healthcare providers of a hospital in Bangladesh during the omicron wave

IntroductionBreakthrough infection by SARS-COV-2 virus among vaccinated individuals has been reported from all over the world and it has created a substantial challenge in designing strategies to live with the virus in the post-pandemic era. Factors affecting the extent and nature of breakthrough infection are still not fully understood and those are known to vary depending on host and agent factors. Health Care Workers (HCWs), especially in hospital settings, are front-liners in combating the epidemic and, consequently, they are more vulnerable to breakthrough infection by SARS-COV-2. Like most of the countries of the world, Bangladesh went through several waves of COVID-19 and the last (3rd wave) was the widespread Omicron wave during the winter of 2022. HCWs in Bangladesh have been disproportionately affected by the virus. Under this context, the aim of the present study was to explore breakthrough infection (BTI) and its host-related covariates among HCWs of a COVID-dedicated city-based hospital during the Omicron wave in Bangladesh. Materials and methodsAn observational cross-sectional study was conducted on 267 HCWs of the Narayanganj Tertiary (300-bed) hospital during February–March 2022 which coincided with the terminal part of the 3rd wave. Data were collected by trained Field Assistants using Interviewer-administered Data Collection Forms with Questionnaires as instruments. Previous COVID-19 status (any time after the onset of the pandemic and within last 3 months) was explored by the history of specific symptoms as well as by the confirmatory rtPCR test reports from DGHS approved laboratories Anti-nucleocapsid antibody (Anti-N-Ab) in venous blood samples, assayed by a chemiluminescent ELISA technique, was used as a seroprevalence-based marker of breakthrough infection during the preceding few months. Data were analyzed by bivariate as well as multivariate statistics using the IBM-SPSS software. ResultsThe median age (range) of the HCWs was 38 (21–65) years; Body Mass Index (BMI, kg/m2) 25 (15–49); and Waist-Hip Ratio (WHR) was 0.92 (0.46–1.21). The male subjects had significantly higher median age (p = 0.01) and higher WHR (p = 0.001) as compared to the female subjects. As per the BMI category, subjects with overweight and obesity constituted 83.3 % of the male subjects as compared to 61.6 % of the female subjects (p = 0.001). The time lapse between receiving of 3rd dose and blood sampling was significantly higher among females compared to males (median days 60 vs 49, p < 0.02) indicating earlier vaccination with 1st booster dose among females. A proportion of 51.85 % male and 49.68 % female subjects showed Anti-N-Ab positivity; there was no significant difference between the gender groups. Also, there was no significant difference among male and female subjects regarding the Ab levels. On Spearman correlation analysis, a tendency of association of WHR with Ab level was observed among the male subjects; however, the association did not show statistical significance (p = 0.09). On binary logistic regression Ab positivity was found to be independently associated with WHR (p = 0.03), and prior SARS-COV-2 infection within the last 3 months (p = 0.02) among males. When all the subjects were considered together, COVID symptom positivity during the last 3 months (p = 0.067) and receiving the 1st booster dose (p = 0.07) showed a tendency of association with Ab positivity. On multiple regression analysis, Ab levels showed a negative association with WHR (p = 0.035) among males. ConclusionsMore than 50 % of the vaccinated hospital-based HCWs in Bangladesh suffered from BTI during the winter of 2022 when the Omicron wave (the 3rd wave) of COVID-19 was at its peak. The data also indicate that overweight and obesity are major host-related risk factors underlying BTI. Inadequate coverage by a booster dose seems to be another determinant of BTI and the level of immune response in this population.

Public health infrastructure and COVID-19 spread: An air transportation network analysis

This study examines the effectiveness of public health infrastructure, specifically hospital and Intensive Care Unit (ICU) capacities, in mitigating the spread of COVID-19 in various US counties. We use the air transportation network to quantify the risk of importing COVID-19-infected passengers to a given county in the United States. Utilizing a dataset that encompasses COVID-19 case rates, healthcare resources, and socioeconomic and transportation-related variables across multiple destination counties, we found that increased availability of hospital and ICU beds is statistically significantly associated with a reduced risk of COVID-19 spread, after controlling for origin county infection rates, travel patterns, and socioeconomic factors. These findings underline the critical role of robust healthcare infrastructure in public health crisis management and suggest targeted policy interventions to bolster healthcare capacity as a viable strategy for mitigating pandemic impacts.