Propagation front of correlations in an interacting Bose gas

We analyze the quench dynamics of a one-dimensional bosonic Mott insulator and focus on the time evolution of density correlations. For these we identify a pronounced propagation front, the velocity of which, once correctly extrapolated at large distances, can serve as a quantitative characteristic of the many-body Hamiltonian. In particular, the velocity allows the weakly interacting regime, which is qualitatively well described by free bosons, to be distinguished from the strongly interacting one, in which pairs of distinct quasiparticles dominate the dynamics. In order to describe the latter case analytically, we introduce a general approximation to solve the Bose-Hubbard Hamiltonian based on the Jordan-Wigner fermionization of auxiliary particles. This approach can also be used to determine the ground-state properties. As a complement to the fermionization approach, we derive explicitly the time-dependent many-body state in the noninteracting limit and compare our results to numerical simulations in the whole range of interactions of the Bose-Hubbard model.Comment: 16 pages, 7 figure

A Collaborative In Situ Simulation-based Pediatric Readiness Improvement Program for Community Emergency Departments

Background More than 30 million children are cared for across 5,000 U.S. emergency departments (EDs) each year. Most of these EDs are not facilities designed and operated solely for children. A Web-based survey provided a national and state-by-state assessment of pediatric readiness and noted a national average score was 69 on a 100-point scale. This survey noted wide variations in ED readiness with scores ranging from 61 in low-pediatric-volume EDs to 90 in the high-pediatric-volume EDs. Additionally, the mean score at the state level ranged from 57 (Wyoming) to 83 (Florida) and for individual EDs ranged from 22 to 100. The majority of prior efforts made to improve pediatric readiness have involved providing Web-based resources and online toolkits. This article reports on the first year of a program that aimed to improve pediatric readiness across community hospitals in our state through in situ simulation-based assessment facilitated by our academic medical center. The primary aim was to improve the pediatric readiness scores in the 10 participating hospitals. The secondary aim was to explore the correlation of simulation-based performance of hospital teams with pediatric readiness scores. Methods This interventional study measured the Pediatric Readiness Survey (PRS) prior to and after implementation of an improvement program. This program consisted of three components: 1) in situ simulations, 2) report-outs, and 3) access to online pediatric readiness resources and content experts. The simulations were conducted in situ (in the ED resuscitation bay) by multiprofessional teams of doctors, nurses, respiratory therapists, and technicians. Simulations and debriefings were facilitated by an expert team from a pediatric academic medical center. Three scenarios were conducted for all teams and include: a 6-month-old with respiratory failure, an 8-year-old with diabetic ketoacidosis (DKA), and a 6-month-old with supraventricular tachycardia (SVT). A performance score was calculated for each scenario. The improvement of PRS was compared before and after the simulation program. The correlation of the simulation performance of each hospital and the PRS was calculated. Results Forty-one multiprofessional teams from 10 EDs in Indiana participated in the study, five were of medium pediatric volume and five were medium- to high-volume EDs. The PRS significantly improved from the first to the second on-site verification assessment (58.4 ± 4.8 to 74.7 ± 2.9, p = 0.009). Total adherence scores to scenario guidelines were 54.7, 56.4, and 62.4% in the respiratory failure, DKA, and SVT scenarios, respectively. We found no correlation between simulation performance and PRS scores. Medium ED pediatric volume significantly predicted higher PRS scores compared to medium-high pediatric ED volume (β = 8.7; confidence interval = 0.72–16.8, p = 0.034). Conclusions Our collaborative improvement program that involved simulation was associated with improvement in pediatric readiness scores in 10 EDs participating statewide. Future work will focus on further expanding of the network and establishing a national model for pediatric readiness improvement

Infectious Complications of Ventricular Assist Device Use in Children in the US: Data from the Pediatric Interagency Registry for Mechanical Circulatory Support (Pedimacs)

Background Infections are frequent in pediatric ventricular assist device (VAD) patients. In this study we aimed to describe infections in durable VAD patients reported to Pedimacs. Methods Durable VAD data from the Pedimacs registry (September 19, 2012 to December 31, 2015) were analyzed. Infections were described with standard descriptive statistics, Kaplan–Meier analysis and competing outcomes analysis. Results There were 248 implants in 222 patients, with a mean age and a median follow-up of 11 ± 6.4 years and 2.4 patient-months (<1 day to 2.6 years), respectively. Device types were pulsatile flow (PF) in 91 (41%) patients and continuous flow (CF) in 131 (59%) patients. PF patients were younger (4 ± 4 vs 14 ± 4 years; p < 0.0001) and were more likely to have congenital heart disease (25% vs 12%; p = 0.03), prior surgery (53% vs 26%; p < 0.0001) and prior extracorporeal membrane oxygenation (24% vs 7%; p = 0.0003). Infection accounted for 17% (96 of 564) of the reported adverse events (AEs). A non-device infection was most common (51%), followed by sepsis (24%), external pump component infection (20%) and internal pump component infection (5%). Most infections were bacterial (73%) and required intravenous therapy only (77%). The risk of infection in the constant phase was higher in patients with a history of prior infection and in patients with a history of a non-infectious major AEs. Survival was lower after infection only in CF patients (p = 0.008). Conclusions Infection was the most common AE after pediatric VAD implantation. Non-device infections were most common. The best predictor of a future infection was a past infection. CF patients have higher risk of death after an infection

A National US Survey of Pediatric Emergency Department Coronavirus Pandemic Preparedness

This article is made available for unrestricted research re-use and secondary analysis in any form or be any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.Objective: We aim to describe the current coronavirus disease 2019 (COVID-19) preparedness efforts among a diverse set of pediatric emergency departments (PEDs) within the United States. Methods: We conducted a prospective multicenter survey of PED medical director(s) from selected children's hospitals recruited through a long established national research network. The questionnaire was developed by physicians with expertise in pediatric emergency medicine, disaster readiness, human factors, and survey development. Thirty-five children's hospitals were identified for recruitment through an established national research network. Results: We report on survey responses from 25 (71%) of 35 PEDs, of which 64% were located within academic children's hospitals. All PEDs witnessed decreases in non-COVID-19 patients, 60% had COVID-19-dedicated units, and 32% changed their unit pediatric patient age to include adult patients. All PEDs implemented changes to their staffing model, with the most common change impacting their physician staffing (80%) and triaging model (76%). All PEDs conducted training for appropriate donning and doffing of personal protective equipment (PPE), and 62% reported shortages in PPE. The majority implemented changes in the airway management protocols (84%) and cardiac arrest management in COVID patients (76%). The most common training modalities were video/teleconference (84%) and simulation-based training (72%). The most common learning objectives were team dynamics (60%), and PPE and individual procedural skills (56%). Conclusions: This national survey provides insight into PED preparedness efforts, training innovations, and practice changes implemented during the start of COVID-19 pandemic. Pediatric emergency departments implemented broad strategies including modifications to staffing, workflow, and clinical practice while using video/teleconference and simulation as preferred training modalities. Further research is needed to advance the level of preparedness and support deep learning about which preparedness actions were effective for future pandemics

Community-based in situ simulation: bringing simulation to the masses

Simulation-based methods are regularly used to train inter-professional groups of healthcare providers at academic medical centers (AMC). These techniques are used less frequently in community hospitals. Bringing in-situ simulation (ISS) from AMCs to community sites is an approach that holds promise for addressing this disparity. This type of programming allows academic center faculty to freely share their expertise with community site providers. By creating meaningful partnerships community-based ISS facilitates the communication of best practices, distribution of up to date policies, and education/training. It also provides an opportunity for system testing at the community sites. In this article, we illustrate the process of implementing an outreach ISS program at community sites by presenting four exemplar programs. Using these exemplars as a springboard for discussion, we outline key lessons learned discuss barriers we encountered, and provide a framework that can be used to create similar simulation programs and partnerships. It is our hope that this discussion will serve as a foundation for those wishing to implement community-based, outreach ISS

Supporting the Quadruple Aim Using Simulation and Human Factors During COVID-19 Care

This article is made available for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.The health care sector has made radical changes to hospital operations and care delivery in response to the coronavirus disease (COVID-19) pandemic. This article examines pragmatic applications of simulation and human factors to support the Quadruple Aim of health system performance during the COVID-19 era. First, patient safety is enhanced through development and testing of new technologies, equipment, and protocols using laboratory-based and in situ simulation. Second, population health is strengthened through virtual platforms that deliver telehealth and remote simulation that ensure readiness for personnel to deploy to new clinical units. Third, prevention of lost revenue occurs through usability testing of equipment and computer-based simulations to predict system performance and resilience. Finally, simulation supports health worker wellness and satisfaction by identifying optimal work conditions that maximize productivity while protecting staff through preparedness training. Leveraging simulation and human factors will support a resilient and sustainable response to the pandemic in a transformed health care landscape

National preparedness survey of pediatric intensive care units with simulation centers during the coronavirus pandemic

Background: The coronavirus disease pandemic caught many pediatric hospitals unprepared and has forced pediatric healthcare systems to scramble as they examine and plan for the optimal allocation of medical resources for the highest priority patients. There is limited data describing pediatric intensive care unit (PICU) preparedness and their health worker protections. Aim: To describe the current coronavirus disease 2019 (COVID-19) preparedness efforts among a set of PICUs within a simulation-based network nationwide. Methods: A cross-sectional multi-center national survey of PICU medical director(s) from children's hospitals across the United States. The questionnaire was developed and reviewed by physicians with expertise in pediatric critical care, disaster readiness, human factors, and survey development. Thirty-five children's hospitals were identified for recruitment through a long-established national research network. The questions focused on six themes: (1) PICU and medical director demographics; (2) Pediatric patient flow during the pandemic; (3) Changes to the staffing models related to the pandemic; (4) Use of personal protective equipment (PPE); (5) Changes in clinical practice and innovations; and (6) Current modalities of training including simulation. Results: We report on survey responses from 22 of 35 PICUs (63%). The majority of PICUs were located within children's hospitals (87%). All PICUs cared for pediatric patients with COVID-19 at the time of the survey. The majority of PICUs (83.4%) witnessed decreases in non-COVID-19 patients, 43% had COVID-19 dedicated units, and 74.6% pivoted to accept adult COVID-19 patients. All PICUs implemented changes to their staffing models with the most common changes being changes in COVID-19 patient room assignment in 50% of surveyed PICUs and introducing remote patient monitoring in 36% of the PICU units. Ninety-five percent of PICUs conducted training for donning and doffing of enhanced PPE. Even 6 months into the pandemic, one-third of PICUs across the United States reported shortages in PPE. The most common training formats for PPE were hands-on training (73%) and video-based content (82%). The most common concerns related to COVID-19 practice were changes in clinical protocols and guidelines (50%). The majority of PICUs implemented significant changes in their airway management (82%) and cardiac arrest management protocols in COVID-19 patients (68%). Simulation-based training was the most commonly utilized training modality (82%), whereas team training (73%) and team dynamics (77%) were the most common training objectives. Conclusions: A substantial proportion of surveyed PICUs reported on large changes in their preparedness and training efforts before and during the pandemic. PICUs implemented broad strategies including modifications to staffing, PPE usage, workflow, and clinical practice, while using simulation as the preferred training modality. Further research is needed to advance the level of preparedness, support staff assuredness, and support deep learning about which preparedness actions were effective and what lessons are needed to improve PICU care and staff protection for the next COVID-19 patient waves

Emergency Department Pediatric Readiness Among US Trauma Centers: A Machine Learning Analysis of Components Associated With Survival.

OBJECTIVE: We used machine learning to identify the highest impact components of emergency department (ED) pediatric readiness for predicting in-hospital survival among children cared for in US trauma centers. BACKGROUND: ED pediatric readiness is associated with improved short-term and long-term survival among injured children and part of the national verification criteria for US trauma centers. However, the components of ED pediatric readiness most predictive of survival are unknown. METHODS: This was a retrospective cohort study of injured children below 18 years treated in 458 trauma centers from January 1, 2012, through December 31, 2017, matched to the 2013 National ED Pediatric Readiness Assessment and the American Hospital Association survey. We used machine learning to analyze 265 potential predictors of survival, including 152 ED readiness variables, 29 patient variables, and 84 ED-level and hospital-level variables. The primary outcome was in-hospital survival. RESULTS: There were 274,756 injured children, including 4585 (1.7%) who died. Nine ED pediatric readiness components were associated with the greatest increase in survival: policy for mental health care (+8.8% change in survival), policy for patient assessment (+7.5%), specific respiratory equipment (+7.2%), policy for reduced-dose radiation imaging (+7.0%), physician competency evaluations (+4.9%), recording weight in kilograms (+3.2%), life support courses for nursing (+1.0%-2.5%), and policy on pediatric triage (+2.5%). There was a 268% improvement in survival when the 5 highest impact components were present. CONCLUSIONS: ED pediatric readiness components related to specific policies, personnel, and equipment were the strongest predictors of pediatric survival and worked synergistically when combined

Prevalence of Errors in Anaphylaxis in Kids (PEAK): A Multicenter Simulation-Based Study

Background Multi-institutional, international practice variation of pediatric anaphylaxis management by health care providers has not been reported. Objective To characterize variability in epinephrine administration for pediatric anaphylaxis across institutions, including frequency and types of medication errors. Methods A prospective, observational, study using a standardized in situ simulated anaphylaxis scenario was performed across 28 health care institutions in 6 countries. The on-duty health care team was called for a child (patient simulator) in anaphylaxis. Real medications and supplies were obtained from their actual locations. Demographic data about team members, institutional protocols for anaphylaxis, timing of epinephrine delivery, medication errors, and systems safety issues discovered during the simulation were collected. Results Thirty-seven in situ simulations were performed. Anaphylaxis guidelines existed in 41% (15 of 37) of institutions. Teams used a cognitive aid for medication dosing 41% (15 of 37) of the time and 32% (12 of 37) for preparation. Epinephrine autoinjectors were not available in 54% (20 of 37) of institutions and were used in only 14% (5 of 37) of simulations. Median time to epinephrine administration was 95 seconds (interquartile range, 77-252) for epinephrine autoinjector and 263 seconds (interquartile range, 146-407.5) for manually prepared epinephrine (P = .12). At least 1 medication error occurred in 68% (25 of 37) of simulations. Nursing experience with epinephrine administration for anaphylaxis was associated with fewer preparation (P = .04) and administration (P = .01) errors. Latent safety threats were reported by 30% (11 of 37) of institutions, and more than half of these (6 of 11) involved a cognitive aid. Conclusions A multicenter, international study of simulated pediatric anaphylaxis reveals (1) variation in management between institutions in the use of protocols, cognitive aids, and medication formularies, (2) frequent errors involving epinephrine, and (3) latent safety threats related to cognitive aids among multiple sites