Inpatient COVID-19 Mortality Rates: What are the predictors?

Objective: This study aims to investigate the relationship between registered nurses and hospital-based medical specialties staffing levels with inpatient COVID-19 mortality rates. Methods: We rely on data from AHA Annual Survey Database, Area Health Resource File, and UnitedHealth Group Clinical Discovery Database. We use linear regression to analyze the association between hospital staffing levels and bed capacity with inpatient COVID-19 mortality rates from March 1, 2020, through December 31, 2020. Results: Higher staffing levels of registered nurses, hospitalists, and emergency medicine physicians were associated with lower COVID-19 mortality rates. Moreover, a higher number of ICU and skilled nursing beds were associated with better patient outcomes. Hospitals located in urban counties with high infection rates had the worst patient mortality rates. Conclusion: Higher staffing levels are associated with lower inpatient mortality rates for COVID-19 patients. A future assessment is needed to establish benchmarks on the minimum staffing levels for nursing and hospital-based medical specialties during pandemics.

Point-of-Care COVID-19 Antigen Testing in Exposed German Healthcare Workers—A Cost Model

Background: Hospital staffing shortages are again (mid-year 2021) becoming a significant problem as the number of positive COVID-19 cases continues to increase worldwide. Objective: To assess the costs of sending HCW into quarantine (Scenario 1) from the hospital’s and the taxpayer’s perspective versus the costs arising from implementing point-of-care COVID-19 antigen testing (POCT) for those staff members who, despite learning that they have been exposed to hospital patients later found to be infected with COVID-19, continue to report to work (Scenario 2). Methods: A mathematical model was built to calculate the costs of a sample-and-stay strategy for exposed healthcare workers (HCW) in Germany by utilizing a high-quality antigen fluorescent immunoassay (FIA), compared to the costs of quarantine. Direct costs and wage costs were evaluated from the hospital as well as from the taxpayer perspective assuming a SARS-CoV-2 infection prevalence of 10%. Results: Serial POCT testing of exposed HCW in Germany (Scenario 2) who do not go into quarantine but continue to work during a post-exposure period of 14 days at their working place raises costs of EUR 289 (±20%: EUR 231 to EUR 346, rounded) per HCW at the expense of the employing hospital while the extra-costs to the taxpayer per exposed HCW are limited to EUR 16 (±20%: EUR 13 to EUR 19). In contrast, sending HCW into quarantine (Scenario 1) would result in costs of EUR 111 (±20%: EUR 89 to EUR 133) per exposed HCW for the hospital but EUR 2235 (±20%: EUR 1744 to EUR 2727) per HCW at the expense of the taxpayer. Conclusions: Monitoring exposed HCW who continued working by sequential POCT may considerably reduce costs from the perspective of the taxpayer and help mitigate personnel shortages in hospitals during pandemic COVID-19 waves.

Staffing in a Level 1 Trauma Center: Quantifying Capacity for Preparedness

Objective: We sought to determine who is involved in the care of a trauma patient. Methods: We recorded hospital personnel involved in 24 adult Priority 1 trauma patient admissions for 12 h or until patient demise. Hospital personnel were delineated by professional background and role. Results: We cataloged 19 males and 5 females with a median age of 50-y-old (interquartile range [IQR], 35.5-67.5). The average number of hospital personnel involved was 79.71 (standard deviation, 17.62; standard error 3.6). A median of 51.2% (IQR, 43.4%-59.8%) of personnel were first involved within hour 1. More personnel were involved in direct versus indirect care (median 54.5 [IQR, 47.5-67.0] vs 25.0 [IQR, 22.0-30.5]; P < 0.0001). Median number of health-care professionals and auxiliary staff were 74.5 (IQR, 63.5-90.5) and 6.0 (IQR, 5.0-7.0), respectively. More personnel were first involved in hospital locations external to the emergency department (median, 53.0 [IQR, 41.5-63.0] vs 27.5 [IQR, 24.0-30.0]; P < 0.0001). No differences existed in total personnel by Injury Severity Score (P = 0.1266), day (P = 0.7270), or time of admission (P = 0.2098). Conclusions: A large number of hospital personnel with varying job responsibilities respond to severe trauma. These data may guide hospital staffing and disaster preparedness policies.

The evolution of cardiac care for children in Washington, DC

Cardiac surgery for CHD was pioneered in Washington, DC by Charles Hufnagel and Edgar Davis working at Georgetown University and Children’s Hospital of the District of Columbia. Children’s Hospital, now Children’s National Hospital, had been established just 5 years after the end of the Civil War. In the 1950s, Davis and Hufnagel undertook many open-heart operations using the technique of surface cooling, hypothermia, and circulatory arrest. Hufnagel and Lewis Scott, who founded the cardiology department at Children’s, were trained in Boston by Gross and Nadas. Judson Randolph, also a trainee of Gross, introduced cardiac surgery using cardiopulmonary bypass and established the General Pediatric Surgery department at Children’s in the 1960s. The transition of hospital staffing from community-based private physicians to full-time hospital employees was often controversial but was complete by the turn of the millennium. The 21st century has seen continuing growth of the new Children’s National Heart Institute and consolidation of several congenital cardiac programmes in Washington, DC.

Promoting and Protecting Human Milk and Breastfeeding in a COVID-19 World

The global COVID-19 pandemic has put enormous stress on healthcare systems and hospital staffing. However, through all this, families will continue to become pregnant, give birth, and breastfeed. Unfortunately, care of the childbearing family has been de-prioritized during the pandemic. Additionally, many healthcare practices during the pandemic have not been positive for the childbearing family or breastfeeding. Despite recommendations from the World Health Organization to promote early, direct breastfeeding and skin to skin contact, these and other recommendations are not being followed in the clinical setting. For example, some mothers have been forced to go through labor and birth alone in some institutions whilst some hospitals have limited or no parental visitation to infants in the NICU. Furthermore, hospitals are discharging mothers and their newborns early, limiting the amount of time that families receive expert lactation care, education, and technical assistance. In addition, some hospitals have furloughed staff or transferred them to COVID-19 wards, further negatively impacting direct care for families and their newborns. We are concerned that these massive changes in the care of childbearing families will be permanently adopted. Instead, we must use the pandemic to underscore the importance of human milk and breastfeeding as lifesaving medical interventions. We challenge healthcare professionals to change the current prenatal and post-birth practice paradigms to protect lactation physiology and to ensure that all families in need receive equal access to evidence-based lactation education, care and technical assistance.

Hospital-Based Simulation

This chapter discusses the current state of hospital-based simulation, including the unprecedented events of 2020's global COVID-19 pandemic. Hospital-based simulation training requires a new approach. The realities of social distancing and the operational demands of hospital staffing ratios warrant creative adaptations of traditional simulation training methods. Hospitals used simulation to improve patient outcomes by training healthcare staff and students through telesimulation, and tested systems and equipment using in situ simulation (ISS). Latent safety threats (LSTs) were identified and corrected to improve patient outcomes. Hospital-based simulation has been incorporated into newly licensed registered nurses (NLRNs) residency programs to prepare them for competent practice. Simulations are also used for preparing staff for low-incidence, high-risk medical emergencies or disasters, such as active shooter events. Hospital-based simulation training adds value to healthcare systems, but requires more evidence of its quantitative and qualitative impacts.

232. Impact of Weekend Initiation of Vancomycin or Piperacillin/Tazobactam on Days of Therapy Received upon Hospital Admission

Background Antibiotic therapy for inpatients with suspected infections is typically empirically initiated and therapy narrowed or altered when additional diagnostic evidence becomes available. For patients whose therapy is initiated on a weekend, differences in hospital staffing may impact the timing of therapy changes. We aimed to compare the duration of therapy of vancomycin and piperacillin-tazobactam between those who had therapy initiated on a weekday versus a weekend day. Methods We performed a cross-sectional study among U.S. hospitals that contributed pharmacy data for inpatients to the Vizient clinical database in 2016. We identified vancomycin and piperacillin-tazobactam courses initiated within the first 48 hours of admission; courses were categorized as weekend initiation (Friday, Saturday, Sunday) versus weekday initiation. The median days of therapy were compared between weekend and weekday initiation using the Wilcoxon rank-sum test. Results Among the 145 hospitals representing approximately 3.7 million patient encounters there were 401,101 encounters with vancomycin and 221,751 with piperacillin/tazobactam initiated within the first 48 hours of admission. Of these courses, 33% of vancomycin and 40% of piperacillin/tazobactam were initiated on a weekend day. The median (IQR) days of therapy for vancomycin initiated on a weekend was 2 days (1–4 days) compared to 2 days (1–3 days) when initiated on a weekday (p&lt; .01). The median (IQR) days of therapy for piperacillin/tazobactam was 3 days (2–5 days) for courses initiated on either a weekend or weekday (p&lt; .01). Conclusion We observed a statistically significant difference in the days of therapy received by patient encounters with vancomycin or piperacillin/tazobactam initiated on weekdays versus weekends. However, because of the large sample size in this study, we had power to identify small differences as statistically significant. Still, for vancomycin the 75th percentile received at least one additional day of therapy when initiated on a weekend versus a weekday. Further exploration is needed to identify if weekend initiation is associated with extended durations of therapy in specific sub-populations of patients. Disclosures All Authors: No reported disclosures

Leveraging Machine Learning Techniques and Engineering of Multi-Nature Features for National Daily Regional Ambulance Demand Prediction

The accurate prediction of ambulance demand provides great value to emergency service providers and people living within a city. It supports the rational and dynamic allocation of ambulances and hospital staffing, and ensures patients have timely access to such resources. However, this task has been challenging due to complex multi-nature dependencies and nonlinear dynamics within ambulance demand, such as spatial characteristics involving the region of the city at which the demand is estimated, short and long-term historical demands, as well as the demographics of a region. Machine learning techniques are thus useful to quantify these characteristics of ambulance demand. However, there is generally a lack of studies that use machine learning tools for a comprehensive modeling of the important demand dependencies to predict ambulance demands. In this paper, an original and novel approach that leverages machine learning tools and extraction of features based on the multi-nature insights of ambulance demands is proposed. We experimentally evaluate the performance of next-day demand prediction across several state-of-the-art machine learning techniques and ambulance demand prediction methods, using real-world ambulatory and demographical datasets obtained from Singapore. We also provide an analysis of this ambulatory dataset and demonstrate the accuracy in modeling dependencies of different natures using various machine learning techniques.

Periodic COVID-19 Testing in Emergency Department Staff

Background: As the number of COVID-19 cases in the US continues to rise and hospitals are experiencing personal protective equipment (PPE) shortages, healthcare workers have been disproportionately affected by COVID-19 infection. Since COVID-19 testing is now available, some have raised the question of whether we should be routinely testing asymptomatic healthcare workers. Methods: Using publicly available data on COVID-19 infections and emergency department visits, as well as internal hospital staffing information, we generated a mathematical model to predict the impact of periodic COVID-19 testing in asymptomatic members of the emergency department staff in regions affected by COVID-19 infection. We calculated various transmission constants based on the Diamond Princess cruise ship data, used a logistic model to calculate new infections, and we created a Markov model according to average COVID-19 incubation time. Results: Our model predicts that after 30 days, with a transmission constant of 1.219e-4 new infections per person2, weekly COVID-19 testing of healthcare workers (HCW) would reduce new HCW and patient infections by 5.1% and bi-weekly testing would reduce both by 2.3%. At a transmission constant of 3.660e-4 new infections per person,2 weekly testing would reduce infections by 21.1% and bi-weekly testing would reduce infections by 9.7-9.8%. For a lower transmission constant of 4.067e-5 new infections per person2, weekly and biweekly HCW testing would result in a 1.54% and 0.7% reduction in infections respectively. Conclusion: Periodic COVID-19 testing for emergency department staff in regions that are heavily-affected by COVID-19 and/or facing resource constraints may reduce COVID-19 transmission significantly among healthcare workers and previously-uninfected patients.