Hospital Beds Research Articles

Effect of insurance type on Management of Vancouver B Periprosthetic Fractures: length of stay, discharge destination and cost implications.

To assess the effect of private versus public insurance on hospital length of stay, discharge destination, and costs in managing Vancouver B periprosthetic femoral fractures (PFF). A retrospective cohort study of PFF patients operatively managed at five public trauma centers. The primary outcome was hospital length of stay. Secondary outcomes included discharge destination and costs related to implants and hospital beds. The study included 195 PFF cases (133 public, 62 private). Private patients had lower ASA scores (2.8 versus 3.1, P = 0.006) and were more likely to come from independent residences (87% versus 74%, P = 0.045). Private patients spent 8 fewer days in the hospital (12 ± 8 versus 20 ± 19 days, P < 0.001) and were more often discharged to rehabilitation (74% versus 48%, P = 0.003). Public hospital costs were higher for public patients ($37 456 versus $25 324, P = 0.005), largely due to longer stays. Implant costs were similar between private and public patients, but patients that underwent revision surgeries increased costs significantly compared to patients that underwent open reduction and internal fixation alone ($6257 versus $3511, P < 0.001). Private insurance was linked to shorter hospital stays and increased discharge to rehabilitation. Public PPF patients incur an average cost of $37 456 for public hospitals, compared to $25 324 for private patients. Delays in public patient rehabilitation access may prolong hospital stays, suggesting a need for alternative care pathways, such as PPF tailored home-based rehabilitation and support programs.

The cost-effectiveness of a digitally enabled telerehabilitation program delivered nationally to patients in Australia

Abstract Introduction Traditionally delivered cardiac rehabilitation (CR) programs have considerable benefits, yet access and participation remains low. Emerging digital health models offer promise in healthcare delivery, but their benefits and impact on healthcare utilization and cost-effectiveness are uncertain. We conducted a cost-effectiveness analysis of a telehealth program with a CR mobile app for post-hospitalization coronary heart disease (CHD) patients. Purpose To assess whether a digitally enabled CR program is cost-effective compared with a propensity matched usual care control group in the Australian health system. Methods Patients were recruited nationally, through a health insurer, following hospitalization for CHD. Participants received weekly telehealth consultations for up to 8 weeks, supplemented by use of an mHealth app. Using administrative private health insurance claims data, we assessed differences in hospital costs, mortality rates and bed days at 12-months post discharge. Incremental cost effectiveness ratios (ICERS) were calculated to determine the cost per deaths prevented and cost per bed days saved for the digital-CR group (n=133) compared with usual care (n=266). Results Among the cohort, 36% lived in regional/rural areas, 70% were male and the mean age was 68 years. The mean total hospital all cause readmission costs at 12-months were $1,488 AUD less in the digital-CR group ($16,411) compared to the usual care group ($17,899). Digital-CR had fewer total hospital days relative to the usual care group (median of 2 vs 3 days) and patients in the digital-CR group had a significantly lower mortality rate at 12-months post discharge. The ICERs were -$337 per 100 patient deaths prevented and -$3,033 per median bed days saved. Conclusion The implementation of a digital-CR program demonstrates cost-effectiveness for patients with CHD when compared to usual care. Thus, advocating for the widespread availability of digital-CR programs as an option for CHD patients following hospital discharge is warranted.

Valve unit instead of intensive care unit admission after transcatheter edge-to-edge tricuspid valve repair

Abstract Background Standardization of periprocedural pathways reduces the length of hospital stay and thus healthcare costs and increases patient safety. Post-procedure admission to the intensive care unit (ICU) after transcatheter edge-to-edge tricuspid valve repair (T-TEER) has been the standard of care. Due to the COVID-19 pandemic related decline in high-care hospital beds, our center established primary admission to a dedicated general cardiologic care ward, the valve unit (VU). Aim To assess benefits and risks of admission to the VU instead of ICU after T-TEER. Methods This retrospective observational study included 270 consecutive patients who underwent T-TEER between March 2017 and June 2023 at our university hospital. Patients were admitted to the ICU post-procedure up to April 9th 2020 as standard (ICU-group, n = 53). Subsequent patients were planned for admission to a dedicated VU (VU-group, n = 217). We compared the groups and assessed length of hospital stay and in-hospital complications. In the VU-group, we examined unplanned transfer to the ICU (cross-over) and its predictors. Results Monitoring at the VU included continuous telemetric ECG-recording, oxygen saturation assessment, periodical blood pressure measurements and 24-hours physician presence. In contrast to the ICU, only non-invasive blood pressure measurements, less frequent laboratory controls and less intense fluid monitoring took place. The postinterventional hospital stay of patients with planned VU admission was significantly shorter compared to patients with planned ICU admission (median 4 (interquartile range (IQR) 3 - 5) vs. 4 (IQR 4 - 5) days, p = 0.030). Remarkably, overall complication rates were low and cardiogenic shock, infections, bleeding, vascular complications, delirium and acute kidney injury requiring dialysis were similar in both groups. 37 patients that were planned for VU had to cross over to unplanned ICU admission (17.1 %). Patients that had crossed over to unplanned ICU treatment had significantly higher risk for acute kidney injury (20.0 vs. 10.0%, p = 0.039) and in-hospital mortality (5.6 vs. 0%, p = 0.045). Higher systolic pulmonary artery pressure (sPAP) (OR 1.048, 95 %-CI 1.015 – 1.082, p = 0.003), NYHA functional class &amp;gt;= III (OR 9.176, 95 % CI 1.141 – 74.396, p = 0.037), and pre-interventional tricuspid regurgitation (TR) grade V (OR 2.941, 95 % CI 1.089 – 7.970, p = 0.033) were found to independently predict cross-over to unplanned ICU treatment. Conclusion Postinterventional admission to the VU instead of ICU after T-TEER shortens postprocedural hospital stay. A small proportion of had an unplanned transfer to ICU, which was accompanied by slightly higher complication rates. This cross-over affects patients with more advanced disease indicated by high pulmonary pressures, NYHA class and TR grade. Thus, admission to a valve unit is favorable for most patients after T-TEER, but those with advanced disease should be monitored more closely.

Public-Private Partnerships: A model for injury prevention and safety promotion – Benefitting communities and NGOs

Abstract Injuries are a leading cause of death up to 45years, and 12% of all hospital beds in Norway are dedicated to accident-related treatments. Addressing injuries poses a significant public health challenge, and preventing accidents is crucial for saving money and resources. The Norwegian Act of Public Health mandates that municipalities promote the population’s health and well-being, contribute to favourable environmental conditions, and prevent mental and somatic illnesses and injuries. This is echoed in various laws and regulations, providing a supportive framework for injury prevention and safety promotion. However, translating these laws and regulations into effective policies and preventive activities necessitates collaboration across sectors and levels. To meet these demands, a public-private partnership for safety has been established through five-year cooperation agreements between the Ministry of Health, Finance Norway (Association for financial and insurance industry in Norway), and the Norwegian Safety Forum (NSF). As a non-profit organization, NSF is a national advocate for safety, specializing in home and leisure injury prevention, road safety and Safe Community initiatives in Norway. Program Description The collaboration aims to reduce accidents and injuries. The agreement secures basic financing for NSF and serves as a platform for knowledge sharing and competence building across sectors. It facilitates seminars and meetings to promote learning among different professions, benefiting municipalities and the public. The collaboration leverages the Ministry’s resources, insurance companies’ data and knowledge, and NSF’s expertise to develop injury prevention programs through dialogue with communities and organizations. This model brings together private-public and NGO perspectives. It also provides enhanced possibilities for coordination on both national and community level, enhancing data and knowledge availability and strengthening capacity for safety promotion.

Risk factors of 30-day mortality following cardiac surgery in adults with congenital heart disease: analysis from the Japanese registry

Abstract Background With advancements in pediatric therapies, the adult congenital heart disease (ACHD) population has grown consistently. ACHD patients often face complications necessitating cardiac surgery, and understanding surgical risk factors is essential. Purpose This study aims to assess ACHD surgical risk factors using big data, addressing evidence gaps in previous research limited to univariate analysis due to few perioperative adverse events. Methods We analyzed the Japanese Registry of All Cardiac and Vascular Diseases-Diagnosis Procedure Combination (JROAD-DPC) database from April 2013 to March 2020. The JROAD-DPC database covers nearly all teaching hospitals with cardiovascular beds participation in JROAD. Our study included ACHD patients (&amp;gt;15 years) undergoing open-heart surgery. Our primary outcome was 30-day mortality. We assessed clinical backgrounds, admission status, treatment, and length of hospital stay. Results Out of 13,677 ACHD patients (mean age: 53 years, females 47%) undergoing cardiac surgery assessed for 30-day mortality, 13,516 (98.8%) patients were categorized into the survival group and 161 (1.2%) into the death group. Mortality rates varied by complexity of congenital heart disease (CHD): 0.8% for simple, 1.8% for moderate, and 0.9% for great. The figure shows that a significant increase in 30-day mortality rates with age was demonstrated in simple and moderate complexity (p&amp;lt;0.001 for trend analysis in both categories). In contrast, for cases of great complexity, the increase in 30-day mortality rates with aging was not statistically significant (p=0.443). The death group was significantly older and had higher rates of ambulance admissions, renal disease, and peripheral vascular disease. Intra-aortic balloon pumps (IABP), veno-arterial extracorporeal membrane oxygenation (VA-ECMO), and dialysis during hospitalization were significantly higher among deceased patients. Length of ICU stay was significantly longer in the death group (median [IQR]; 3 [2-4] vs. 6 [3-11], p&amp;lt;0.001). Cox proportional-hazards model showed that age, moderate complexity, emergency admission, hospital bed counts, renal disease, and use of IABP and VA-ECMO were independently associated with 30-day mortality (Table). Conclusions The present study, which utilizes the nationwide administrative DPC database, demonstrates that surgical outcomes for patients with ACHD, as measured by 30-day mortality rates, are generally favorable. These outcomes significantly depend on factors such as age, complexity of CHD, emergency admissions, hospital capacity, renal disease, and use of mechanical circulatory support.

Social life cycle sustainability assessment of dried tomato products based on material and process selection through multi-criteria decision making.

Tomatoes are a significant product of the Mediterranean region and a crucial component of the Mediterranean diet. The formulation of dried tomato products enriched with proteins and bioactive compounds could be a strategic approach to promote adherence to the Mediterranean diet. Six different novel tomato products were analyzed using different protein enrichment sources (pea proteins and leaf proteins) and drying technologies (hot-air dryer, microwave vacuum dryer, and conventional dryer). The novelty of this approach lies in combining product-specific criteria with global societal factors across their life cycles. Using 21 criteria and an analytic hierarchy process (AHP) survey of experts, the social sustainability score for each product was determined through a multi-criteria assessment. The tomato product's life cycles have minimal regional impacts on unemployment, access to drinking water, sanitation, or excessive working hours. However, they affect discrimination, migrant labor, children's education, and access to hospital beds significantly. The study identified nutritional quality as the top criterion, with the most sustainable design being a tomato bar enriched with pea protein and processed using microwave vacuum drying. The study revealed that integrating sensory and nutrient compounds into social sustainability assessments improves food sustainability and provides a practical roadmap for social life cycle assessments of food products. It emphasized the importance of considering global social issues when reformulating Mediterranean products to ensure long-term adherence to the Mediterranean diet. Incorporating social factors into sustainability scores can also enhance the effectiveness of product information for conscious customers. © 2024 The Author(s). Journal of the Science of Food and Agriculture published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

A new personalized environment control system for hospital beds with design optimization by Taguchi-based grey relational analysis

The current ward environments consume excessive energy and fail to meet the personal comfort and health needs of patients. A promising solution is to create a personalized bed micro-environment and then extend the ward set-point temperature range. However, there is currently no suitable bed environment control system. This study proposes a novel bedside integrated system with three perforated panels that supplies conditioned air from different directions and prevents direct airflow towards the patient's head region. The system design was optimized using Taguchi-based grey relational analysis (GRA), with predicted mean vote (PMV), draft risk (DR), and personal exposure effectiveness (PEE) considered as response variables. The design variables included supply air temperature, airflow rate, and supply air angles. Taguchi's L16 (44) orthogonal array was employed for the experimental design. The results demonstrate that a low-velocity cold air lake can form above the bed, with the maximum velocity near the patient's head at only 0.2 m/s. In a 28 °C ward, the PMV, maximum DR, and PEE at the bed micro-environment are 0.13, 14.1 %, and 0.67, respectively. This implies that the proposed bed environment control system has the potential to provide both comfort and health benefits while reducing energy consumption. After optimization, the optimal supply air temperature, airflow rate, angles of top panel and side panels are 22 °C, 25 L/s, 0° and 45°, respectively, with an improvement of 5.8 % in the grey relational grade. This study provides a new solution for creating a comfortable and healthy ward environment in an energy-efficient manner.

Efficacy of Laparoscopic Left Hemihepatectomy Combined With Choledochoscopic Lithotomy for Complex Intrahepatic Bile Duct Stones and Its Impact on Postoperative Liver Function.

This study was designed to investigate the clinical efficacy of laparoscopic left hemihepatectomy combined with choledochoscopic lithotomy for patients with complex intrahepatic bile duct stones. The clinical data of 97 patients with complex intrahepatic bile duct stones treated in our hospital between February 2019 and April 2022 were retrospectively collected. Patients were allocated into 2 groups based on their surgical approaches. In the control group, 46 patients underwent laparoscopic left hemihepatectomy, while in the combined group, 51 patients underwent laparoscopic left hemihepatectomy combined with choledochoscopic lithotomy. Parameters such as clinical efficacy, surgical indices, stress response markers (CRP, EP, COR), coagulation metrics (FIB, APTT, PT), liver function indicators (GGT, TBIL, ALT), complications, and quality of life were compared between the 2 groups. The combined group exhibited a significantly higher total effective rate compared with the control group (98.04% vs. 82.61%) (P<0.05). The operation duration of the combined group was longer than that of the control group. However, the duration for postoperative anal exhaustion, postoperative bed mobility, postoperative drainage, and hospital stay was shorter in the combined group than in the control group (P<0.05). CRP, EP, and COR concentrations were substantially elevated in both groups on the third postoperative day (P<0.05), but were lower in the combined group. Similarly, levels of FIB, APTT, and PT were markedly increased in both groups on the third postoperative day (P<0.05), but were lower in the combined group. On the seventh postoperative day, GGT, TBIL, and ALT were notably decreased in both groups, with the combined group exhibiting lower levels (P<0.05). The incidence of complications in the combined group was lower than that of the control group (5.88% vs. 19.57%) (P<0.05). At 3 months postoperatively, all GIQLI scores were markedly elevated in both groups, with superior scores observed in the combined group (P<0.05). The combined laparoscopy and choledochoscopy demonstrate a remarkable efficacy for complex intrahepatic bile duct stones, which significantly facilitate liver function recuperation, reduce stress reactions, reduce complications, enhance the quality of life, and exert a minimal impact on coagulation functions.

Evaluation of moderate periorbital cellulitis and home-based therapy in children (EPOCH study, Part 2): A prospective single centre cohort study.

Paediatric periorbital cellulitis, a common eye condition, typically requires inpatient admission for intravenous antibiotics due to concerns about orbital spread. This study aimed to assess the safety and effectiveness of ambulatory management for children with moderate periorbital cellulitis. Over a 24-month period, we prospectively enrolled 84 children aged 1 to 16 years who presented with moderate periorbital cellulitis to the emergency department. Demographic and clinical data were collected. Following a guideline-based decision tree, eligible children received intravenous antibiotics and were discharged with a peripheral cannula for follow-up in ambulatory care and ophthalmology clinics. Descriptive statistics were used for data presentation. Among the 84 children, 62 (73.8%) were managed through the ambulatory care model. Within the category of moderate POC, those who were admitted to the hospital did not have higher CRP or White Cell counts and received IV antibiotics for the same length of time. The ambulatory care clinic provided a total of 132 daily doses of intravenous antibiotics. Two children treated on this pathway required inpatient admission due to clinical deterioration, one of whom required ophthalmic surgical intervention. There was no mortality or sight-threatening complications in this study. Implementing a directed ambulatory care pathway for children with moderate periorbital cellulitis proved to be an effective and safe management strategy. This approach reduces the strain on hospital bed occupancy while promoting community-based patient care.

Large-scale acute hospital bed and mattress implementations: insights and recommendations

Background/Aims Hospital-wide replacement of beds and mattresses, often referred to as an ‘implementation’, can be an efficient way of ensuring that these products are up to date. However, large-scale implementations can be daunting for healthcare managers, with a lack of guidance to support them through this process. This service evaluation aimed to provide practical suggestions to NHS managers who are planning a hospital-wide acute hospital bed and mattress implementation from peers who have completed similar projects. Methods Interviews were conducted with a purposive sample of seven NHS staff members, all of whom had held a leading role in managing and executing an implementation project with the provider Medstrom. Exploratory, qualitative, semi-structured interviews were conducted, with data analysed through content-driven narrative analysis, using NVivo software. Results Four themes relating to large-scale bed and mattress implementation were identified: drivers; specification process; financial process; and physical implementation and training. Communication and planning were considered crucial, as was selecting a provider that could offer support throughout the implementation. Participants had been able to successfully implement a large volume of products, but all felt that a resource allowing healthcare managers to draw on the experiences of others who had previously completed a large-scale implementation project would be beneficial. Conclusions Large-scale mattress implementations are achievable with the right input and support. Learning from the experiences and knowledge of peers who have previously been involved in implementations can be very useful for healthcare managers embarking on this kind of project.

Optimizing hospital bed allocation for coordinated medical efficiency and quality improvement

Optimizing hospital bed allocation for coordinated medical efficiency and quality improvement

The spatial-temporal variations and influencing factors of COVID-19 case fatality rate: a worldwide study in 30 countries from February 2021 to May 2022.

To evaluate the variations in COVID-19 case fatality rates (CFRs) across different regions and waves, and the impact of public health interventions, social and economic characteristics, and demographic factors on COVID-19 CFRs, we collected data from 30 countries with the highest incidence rate in three waves. We summarized the CFRs of different countries and continents in each wave through meta-analysis. Spearman's correlation and multiple linear regression were employed to estimate the correlation between influencing factors and reduction rates of CFRs. Significant differences in CFRs were observed among different regions during the three waves (P<0.001). An association was found between the changes in fully vaccinated rates (r s =0.41), population density (r s =0.43), the proportion of individuals over 65years old (r s =0.43), and the reduction rates of case fatality rate. Compared to Wave 1, the reduction rates in Wave 2 were associated with population density (β=0.19, 95%CI: 0.05-0.33) and smoking rates (β=-4.66, 95%CI: -8.98 - -0.33), while in Wave 3 it was associated with booster vaccine rates (β=0.60, 95%CI: 0.11-1.09) and hospital beds per thousand people (β=4.15, 95%CI: 1.41-6.89). These findings suggest that the COVID-19 CFRs varied across different countries and waves, and promoting booster vaccinations, increasing hospital bed capacity, and implementing tobacco control measures can help reduce CFRs.

Forecasting severe respiratory disease hospitalizations using machine learning algorithms

BackgroundForecasting models predicting trends in hospitalization rates have the potential to inform hospital management during seasonal epidemics of respiratory diseases and the associated surges caused by acute hospital admissions. Hospital bed requirements for elective surgery could be better planned if it were possible to foresee upcoming peaks in severe respiratory illness admissions. Forecasting models can also guide the use of intervention strategies to decrease the spread of respiratory pathogens and thus prevent local health system overload. In this study, we explore the capability of forecasting models to predict the number of hospital admissions in Auckland, New Zealand, within a three-week time horizon. Furthermore, we evaluate probabilistic forecasts and the impact on model performance when integrating laboratory data describing the circulation of respiratory viruses.MethodsThe dataset used for this exploration results from active hospital surveillance, in which the World Health Organization Severe Acute Respiratory Infection (SARI) case definition was consistently used. This research nurse-led surveillance has been implemented in two public hospitals in Auckland and provides a systematic laboratory testing of SARI patients for nine respiratory viruses, including influenza, respiratory syncytial virus, and rhinovirus. The forecasting strategies used comprise automatic machine learning, one of the most recent generative pre-trained transformers, and established artificial neural network algorithms capable of univariate and multivariate forecasting.ResultsWe found that machine learning models compute more accurate forecasts in comparison to naïve seasonal models. Furthermore, we analyzed the impact of reducing the temporal resolution of forecasts, which decreased the model error of point forecasts and made probabilistic forecasting more reliable. An additional analysis that used the laboratory data revealed strong season-to-season variations in the incidence of respiratory viruses and how this correlates with total hospitalization cases. These variations could explain why it was not possible to improve forecasts by integrating this data.ConclusionsActive SARI surveillance and consistent data collection over time enable these data to be used to predict hospital bed utilization. These findings show the potential of machine learning as support for informing systems for proactive hospital management.

Survival After Extracorporeal Cardiopulmonary Resuscitation Based on In-Hospital Cardiac Arrest and Cannulation Location: An Analysis of the Extracorporeal Life Support Organization Registry.

Explore whether extracorporeal cardiopulmonary resuscitation (ECPR) mortality differs by in-hospital cardiac arrest location and whether moving patients for cannulation impacts outcome. Retrospective cohort study. ECPR hospitals that report data to the Extracorporeal Life Support Organization (ELSO). Patients having ECPR for in-hospital cardiac arrest between 2020 and 2023 with data in the ELSO registry. None. Patient demographics, comorbidities, pre-cardiac arrest conditions, pre-ECPR vasopressor use, cardiac arrest details, ECPR cannulation information, major complications, and in-hospital mortality were recorded. Multivariable logistic regression model was used to examine the associations between in-hospital mortality and 1) cardiac arrest location and 2) moving a patient for ECPR cannulation. A total of 2515 patients met enrollment criteria. The adjusted odds ratio (aOR) for mortality was increased in patients who had a cardiac arrest in the ICU (aOR, 1.85; 95% CI, 1.45-2.38; p < 0.001) and in patients who had a cardiac arrest in an acute care bed (aOR, 1.68; 95% CI, 1.09-2.58; p = 0.02) compared with the cardiac catheterization laboratory. Moving a patient for cannulation had no association with mortality (aOR, 0.70; 95% CI, 0.18-2.81; p = 0.62). Advanced patient age was associated with increased mortality. Specifically, patients 60-69 and patients 70 years old or older were more likely to die compared with patients younger than 30 years old (aOR, 1.71; 95% CI, 1.17-2.50; p = 0.006 and aOR, 2.27; 95% CI, 1.49-3.48; p < 0.001, respectively). ECPR patients who experienced cardiac arrest in the ICU and in acute care hospital beds had increased odds of mortality compared with other locations. Moving patients for ECPR cannulation was not associated with improved outcomes.

Schizophrenia, clinical and basic research at NIMH: A 75 Year retrospective

ObjectiveIn 2024, NIMH is celebrating its 75th anniversary. At the Congressional hearings preceding its initial funding in 1949, witnesses stressed the need for NIMH to carry out clinical and basic research to find the causes and better treatments for severe mental illnesses. Patients with schizophrenia alone were said to occupy one quarter of all hospital beds in the U.S. We therefore sought to ascertain the relative importance of clinical and basic research funded by NIMH over the life of the institute, using schizophrenia as our primary example. MethodsWe used information of published studies, from the NIMH website, and from NIMH employees both past and present. ResultsDuring its first 40 years, NIMH funded clinical and basic research approximately equally. That changed in the 1990s when the funding of the Human Genome Project started a shift in research resources from clinical to basic. By 2015, clinical research at NIMH had been reduced to 10 % of the research portfolio. This decline has continued and been well documented. For example, between 2006 and 2023, NIMH-funded extramural drug trials for schizophrenia and bipolar disorder decreased by 95 %. To clearly illustrate the decline of schizophrenia research at NIMH, research for the 5-year period from 1984 to 1988 was compared with research from 2018 to 2022. ConclusionsIn summary, data suggests that over the past 3 decades NIMH has reduced clinical research on severe mental illnesses by at least 90 %. We therefore recommend that NIMH re-establish clinical research on severe mental illnesses as a priority, as originally intended by Congress; that NIMH spend at least 50 % of all disease-related research dollars on clinical research; and that this distribution be documented in an existing and publicly available database.

Analysis of hospitalization expenditures and influencing factors for inpatients with chronic bronchitis based on SHA2011 in a central Province of China.

This study compared the hospitalization expenses of patients with chronic bronchitis in a central province (Province A) in China to estimate the direct medical cost of the family. Our data included hospitalization records of 30,341 patients with chronic bronchitis from five urban general hospitals in Province A. Using descriptive statistics and regression analysis, we explored the relevant factors affecting hospitalization expenses. Our study results have indicated that from 2016 to 2020, the medical expenditure of patients with chronic bronchitis increased annually, with an average annual growth rate of 22.65%. Among all kinds of expenses, the hospitalization expenses, drug cost, bed cost, test cost and other cost of UEMI (Urban Employee Medical Insurance) are higher than that of other types of medical insurance. The check-up fees of CMI (Commercial Insurance) are lower than that of other types of insurance. Between 2016 and 2019, the average medical expenses per patient with chronic bronchitis increased by 44%, which is the highest average medical expenses among patients aged 60-70. And the highest average medical expenditure emerged when the number of service days is between 5 and 10 days. The increase in expenditure could be attributed to the rapid development of medical technology and the increasing medical demand of the people. Overall, the results of our study implied a significant increase in medical expenses for patients with chronic bronchitis from 2015 to 2020, indicating that chronic bronchitis could bring heavy economic pressures to patients, their families and society.

Increase in PVC-BSI during the second COVID-19 pandemic year: analysis of catheter and patient characteristics.

Increasing nosocomial infections during the COVID-19 pandemic have been reported. However, data describing peripheral venous catheter associated bloodstream infections (PVC-BSI) are limited. To describe the epidemiology and risk factors for PVC-BSI during the COVID-19 pandemic. We conducted retrospective cohort study of prospectively collected PVC-BSI data in a 2100 bed hospital network in Switzerland. Adult patients with a PVC inserted between January 1, 2020 and December 31, 2021 were included. Risk factors for PVC-BSI were identified through descriptive analysis of patient and catheter characteristics, and univariable marginal Cox models. 206,804 PVCs and 37 PVC-BSI were analysed. Most PVC-BSI were attributed to catheters inserted in the Emergency department (76%) or surgical wards (22%). PVC-BSI increased in 2021 compared to 2020 (hazard ratio 2021 vs. 2020 = 2.73; 95% confidence interval 1.19-6.29), with a numerically higher rate ofStaphylococcus aureus (1/10, 10%, vs. 5/27, 19%) and polymicrobial infection (0/10, 0% vs. 4/27, 15%). PVC insertions, patient characteristics, and catheter characteristics remained similar across the study period. PVC-BSI risk was associated with admission to the intensive care unit (ICU), and use of wide gauge catheter ( < = 16G). Increased PVC-BSI during the COVID-19 pandemic was not explained by catheter or patient factors alone, and may result from system-wide changes. PVC-BSI events are primarily attributed to acute care settings, including the emergency department, surgical wards, and the ICU.

Improving Performance in Surgical department through Communicating Information to Decision Makers: Intervention Study in a tertiary Hospital

Hospital performance evaluation is crucial for early detection of pitfalls, and problem-solving. Data shouldn’t be passively collected. They must be measured and understood through an underlying conceptual framework. Purpose: The General Surgical Department in collaboration with the Public Health Department had the objective of developing a module for periodic monitoring and evaluation of the eight general surgical units based on calculated key performance indicators (KPIs), Composite Indices (CIs) and communication of growing out information through policy briefs directed to the heads of units for better resources allocation and evidence based decision making. Methodology: An operations research using pre-post intervention design. The exploratory component was completed in six months in the 8 units of the department. Pretest service statistical data analyzed KPIs derived from hospital bed and surgical room utilization. Data were utilized for the calculation of 5 CIs for each unit. Study intervention included the development of policy briefs (PB) that were submitted to the head of the department. Informed decisions were made guided by the info-graph data in the form of traffic color coded ranking matrix to promote various services and to improve performance in the department units particularly lower ranked units. The post-test included reanalyzing of the service statistical data. Findings: Comparing pre-posttest figures revealed improvement in the calculated KPIs and CIs. Originality and practical implications: Bringing up a novel, feasible monitoring and evaluation model using refitted tools would support surgical unit heads in evidence-based decision-making and eventually improve performance efficiency.

County-level associations between drinking water PFAS contamination and COVID-19 mortality in the United States.

Epidemiologic and animal studies both support relationships between exposures to per- and polyfluoroalkyl substances (PFAS) and harmful effects on the immune system. Accordingly, PFAS have been identified as potential environmental risk factors for adverse COVID-19 outcomes. Here, we examine associations between PFAS contamination of U.S. community water systems (CWS) and county-level COVID-19 mortality records. Our analyses leverage two datasets: one at the subnational scale (5371 CWS serving 621 counties) and one at the national scale (4798 CWS serving 1677 counties). The subnational monitoring dataset was obtained from statewide drinking monitoring of PFAS (2016-2020) and the national monitoring dataset was obtained from a survey of unregulated contaminants (2013-2015). We conducted parallel analyses using multilevel quasi-Poisson regressions to estimate cumulative incidence ratios for the association between county-level measures of PFAS drinking water contamination and COVID-19 mortality prior to vaccination onset (Jan-Dec 2020). In the primary analyses, these regressions were adjusted for several county-level sociodemographic factors, days after the first reported case in the county, and total hospital beds. In the subnational analysis, detection of at least one PFAS over 5 ng/L was associated with 12% higher [95% CI: 4%, 19%] COVID-19 mortality. In the national analysis, detection of at least one PFAS above the reporting limits (20-90 ng/L) was associated with 13% higher [95% CI: 8%, 19%] COVID-19 mortality. Our findings provide evidence for an association between area-level drinking water PFAS contamination and higher COVID-19 mortality in the United States. These findings reinforce the importance of ongoing state and federal monitoring efforts supporting the U.S. Environmental Protection Agency's 2024 drinking water regulations for PFAS. More broadly, this example suggests that drinking water quality could play a role in infectious disease severity. Future research would benefit from study designs that combine area-level exposure measures with individual-level outcome data.

A Comparative Study of Hospitalization Mortality Rates between General and Emergency Hospitalized Patients Using Survival Analysis

Background/Objectives: In Korea’s emergency medical system, when an emergency patient arises, patients receive on-site treatment and care during transport at the pre-hospital stage, followed by inpatient treatment upon hospitalization. From the perspective of emergency patient management, it is critical to identify the high death rate of patients with certain conditions in the emergency room. Therefore, it is necessary to compare and analyze the determinants of the death rate of patients admitted via the emergency room and generally hospitalized patients. In fact, previous studies investigating determinants of survival periods or length of stay (LOS) primarily used multiple or logistic regression analyses as their main research methodology. Although medical data often exhibit censored characteristics, which are crucial for analyzing survival periods, the aforementioned methods of analysis fail to accommodate these characteristics, presenting a significant limitation. Methods:Therefore, in this study, survival analyses were performed to investigate factors affecting the dying risk of general inpatients as well as patients admitted through the emergency room. For this purpose, this study collected and analyzed the sample cohort DB for a total of four years from 2016 to 2019 provided by the Korean National Health Insurance Services (NHIS). After data preprocessing, the survival probability was estimated according to sociodemographic, patient, health checkup records, and institutional features through the Kaplan–Meier survival estimation. Then, the Cox proportional hazards models were additionally utilized for further econometric validation. Results: As a result of the analysis, in terms of the ‘city’ feature among the sociodemographic characteristics, the small and medium-sized cities exert the most influence on the death rate of general inpatients, whereas the metropolitan cities exert the most influence on the death rate of inpatients admitted through the emergency room. In terms of institution characteristics, it was found that there is a difference in determinants affecting the death rate of the two groups of study, such as the number of doctors per 100 hospital beds, the number of nurses per 100 hospital beds, the number of hospital beds, the number of surgical beds, and the number of emergency beds. Conclusions: Based on the study results, it is expected that an efficient plan for distributing limited medical resources can be established based on inpatients’ LOS.