Development and evaluation of a virtual reality training for emergency treatment of shortness of breath based on frameworks for serious games.

Background: Virtual reality (VR) can offer an innovative approach to providing training in emergency situations, especially in times of COVID-19. There is no risk of infection, and the procedure is scalable and resource-efficient. Nevertheless, the challenges and problems that can arise in the development of VR training are often unclear or underestimated. As an example, we present the evaluation of the feasibility of development of a VR training session for the treatment of dyspnoea. This is based on frameworks for serious games, and provides lessons learned. We evaluate the VR training session with respect to usability, satisfaction, as well as perceived effectiveness and workload of participants. Methods: The VR training was developed using the established framework (Steps 1-4) for serious games of Verschueren et al. and Nicholson's RECIPE elements for meaningful gamification. Primary validation (Step 4) was performed at the University of Bern, Switzerland, in a pilot study without control group, with a convenience sample of medical students (n=16) and established measurement tools. Results: The theoretical frameworks permitted guided development of the VR training session. Validation gave a median System Usability Scale of 80 (IQR 77.5-85); for the User Satisfaction Evaluation Questionnaire, the median score was 27 (IQR 26-28). After the VR training, there was a significant gain in the participants' confidence in treating a dyspnoeic patient (median pre-training 2 (IQR 2-3) vs. post-training 3 (IQR 3-3), p=0.016).Lessons learned include the need for involving medical experts, medical educators and technical experts at an equivalent level during the entire development process. Peer-teaching guidance for VR training was feasible. Conclusion: The proposed frameworks can be valuable tools to guide the development and validation of scientifically founded VR training. The new VR training session is easy and satisfying to use and is effective - and is almost without motion sickness.

Utility and limitations of patient-adjusted D-dimer cut-off levels for diagnosis of venous thromboembolism-A systematic review and meta-analysis.

PURPOSE: To systematically assess test performance of patient-adapted D-dimer cut-offs for the diagnosis of venous thromboembolism (VTE). METHODS: Systematic review and analysis of articles published in PubMed, Embase, ClinicalTrials.gov, and Cochrane Library databases. Investigations assessing patient-adjusted D-dimer thresholds for the exclusion of VTE were included. A hierarchical summary receiver operating characteristic model was used to assess diagnostic accuracy. Risk of bias was assessed by Quality Assessment of Diagnostic Accuracy Studies 2 score. RESULTS: A total of 68 studies involving 141,880 patients met the inclusion criteria. The standard cut-off revealed a sensitivity of 0.99 (95% confidence interval [CI] 0.98-0.99) and specificity of 0.23 (95% CI 0.16-0.31). Sensitivity was comparable to the standard cut-off for age-adjustment (0.97 [95% CI 0.96-0.98]) and YEARS algorithm (0.98 [95% CI 0.91-1.00]) but lower for pretest probability (PTP)-adjusted (0.95 [95% CI 0.89-0.98) and COVID-19-adapted thresholds (0.93 [95% CI 0.82-0.98]). Specificity was significantly higher across all adjustment strategies (age: 0.43 [95% CI 0.36-0.50]; PTP: 0.63 [95% CI 0.51-0.73]; YEARS algorithm: 0.65 [95% CI 0.39-0.84]; and COVID-19: 0.51 [95% CI 0.40-0.63]). The YEARS algorithm provided the best negative likelihood ratio (0.03 [95% CI 0.01-0.15]), followed by age-adjusted (both 0.07 [95% CI 0.05-0.09]), PTP (0.08 [95% CI 0.04-0.17), and COVID-19-adjusted thresholds (0.13 [95% CI 0.05-0.32]). CONCLUSIONS: This study indicates that adjustment of D-dimer thresholds to patient-specific factors is safe and embodies considerable potential for reduction of imaging. However, robustness, safety, and efficiency vary considerably among different adjustment strategies with a high degree of heterogeneity.

Predictive value of coagulation variables and glycocalyx shedding in hospitalized COVID-19 patients - a prospective observational study.

OBJECTIVES: Covid-19 disease causes an immense burden on the healthcare system. It has not yet been finally clarified which patients will suffer from a severe course and which will not. Coagulation disorders can be detected in many of these patients. The aim of the present study was therefore to identify variables of the coagulation system including standard and viscoelastometric tests as well as components of glycocalyx damage that predict admission to the intensive care unit. METHODS: Adult patients were included within 24 h of admission. Blood samples were analyzed at hospital admission and at ICU admission if applicable. We analyzed group differences and furthermore performed receiver operator characteristics (ROC). RESULTS: This study included 60 adult COVID-19 patients. During their hospital stay, 14 patients required ICU treatment. Comparing ICU and non-ICU patients at time of hospital admission, D-dimer (1450 µg/ml (675/2850) vs. 600 µg/ml (500/900); p = 0.0022; cut-off 1050 µg/ml, sensitivity 71%, specificity 89%) and IL-6 (47.6 pg/ml (24.9/85.4 l) vs. 16.1 pg/ml (5.5/34.4); p = 0.0003; cut-off 21.25 pg/ml, sensitivity 86%, specificity 65%) as well as c-reactive protein (92 mg/dl (66.8/131.5) vs. 43.5 mg/dl (26.8/83.3); p = 0.0029; cutoff 54.5 mg/dl, sensitivity 86%, specificity 65%) were higher in patients who required ICU admission. Thromboelastometric variables and markers of glycocalyx damage (heparan sulfate, hyaluronic acid, syndecan-1) at the time of hospital admission did not differ between groups. CONCLUSION: General inflammatory variables continue to be the most robust predictors of a severe course of a COVID-19 infection. Viscoelastometric variables and markers of glycocalyx damage are significantly increased upon admission to the ICU without being predictors of ICU admission.

Challenges, strategies and consequences from the perspective of German nursing home managers during the first wave of the COVID-19 pandemic - a qualitative interview study.

BACKGROUND: The first wave of the COVID-19 pandemic reached Germany between March and May 2020. In order to contain the spread of the virus and particularly protect vulnerable people, the government imposed a lockdown in March 2020. In addition to infection control measures, such as hygiene and social distancing requirements, a general ban on access to nursing homes for relatives and external service providers was issued. METHODS: To investigate the challenges and consequences of the enacted infection prevention measures and specific strategies for nursing homes in Germany, a multicentre cross-sectional qualitative interview study with nursing home managers and ward managers was conducted. Recorded audio data were transcribed, analysed using thematic framework analysis and reflected in peer debriefings. RESULTS: Seventy-eight interviews with 40 nursing home managers and 38 ward managers from 43 German nursing homes were conducted. At organisational level, the following six themes were identified: Appointing a multi-professional crisis task force, reorganizing the use of building and spatial structures, continuous adaption and implementation of hygiene plans, adapting staff deployment to dynamically changing demands, managing additional communicative demands and relying on and resorting to informal networks. To deal with the pandemic challenges also six themes can be described for the direct care level: Changed routines, taking over non-nursing tasks, increased medical responsibility, increased documentation demands, promoting social participation and increased communication demands. Also various negative consequences were identified (four themes): Psychological stress, negative emotional consequences, permanent feeling of responsibility and increased potential for conflicts. Positive emotional consequences were also reported (two themes): resources for the challenges and positive emotional consequences for home managers and staff. CONCLUSIONS: The results of the described challenges, strategies and consequences allow recommendations as basis for possible approaches and successful adaptation processes in nursing home care in the future. In particular, there is a need for local networks to act in a coordinated way and a need for quantitative and qualitative support for nurses, such as staff support as well as advanced nursing practice, to cope with the challenges of the pandemic.

COVID-Twitter-BERT: A natural language processing model to analyse COVID-19 content on Twitter.

Introduction: This study presents COVID-Twitter-BERT (CT-BERT), a transformer-based model that is pre-trained on a large corpus of COVID-19 related Twitter messages. CT-BERT is specifically designed to be used on COVID-19 content, particularly from social media, and can be utilized for various natural language processing tasks such as classification, question-answering, and chatbots. This paper aims to evaluate the performance of CT-BERT on different classification datasets and compare it with BERT-LARGE, its base model. Methods: The study utilizes CT-BERT, which is pre-trained on a large corpus of COVID-19 related Twitter messages. The authors evaluated the performance of CT-BERT on five different classification datasets, including one in the target domain. The model's performance is compared to its base model, BERT-LARGE, to measure the marginal improvement. The authors also provide detailed information on the training process and the technical specifications of the model. Results: The results indicate that CT-BERT outperforms BERT-LARGE with a marginal improvement of 10-30% on all five classification datasets. The largest improvements are observed in the target domain. The authors provide detailed performance metrics and discuss the significance of these results. Discussion: The study demonstrates the potential of pre-trained transformer models, such as CT-BERT, for COVID-19 related natural language processing tasks. The results indicate that CT-BERT can improve the classification performance on COVID-19 related content, especially on social media. These findings have important implications for various applications, such as monitoring public sentiment and developing chatbots to provide COVID-19 related information. The study also highlights the importance of using domain-specific pre-trained models for specific natural language processing tasks. Overall, this work provides a valuable contribution to the development of COVID-19 related NLP models.

Telehealth use by walk-in patients who subsequently visited an academic emergency department: a repeated cross-sectional study during the COVID-19 summer 2021.

AIM OF THE STUDY: During the COVID-19 pandemic, telehealth use increased worldwide in a variety of medical specialities and reached new population groups. A baseline survey of telehealth use prior to admission to the emergency department (ED) conducted before COVID-19 concluded that predominantly well-educated men used telehealth. It is unclear how COVID-19 changed the use of telehealth in Swiss emergency patients. We therefore aimed to investigate (i) the frequency of telehealth use during the pandemic, and (ii) how the pandemic has influenced telehealth use and users. MATERIALS AND METHODS: A repeated cross-sectional study was conducted among ED walk-in patients at a tertiary university hospital in Switzerland. The study took place one and a half years after the first confirmed COVID-19 case, during 30 shifts from 8 to 29 July 2021 and compared with the baseline survey conducted in 2019. Eligible patients were questioned about their use of, and attitudes to telehealth. RESULTS: A total of 1020 patients were screened for the COVID survey and 443 complete questionnaires were evaluated. A trend towards a general increase (+6.4%) in telehealth use was demonstrated (50.3%, n = 223 COVID survey vs 43.9%, n = 183 baseline survey; p = 0.058), with a shift to more female patients using telehealth in the COVID survey (female 54.9%, n = 124 vs 45.1%, n = 102; p = 0.052). During the pandemic, first use of telehealth was reported by 12.2% (n = 54) of patients, with a significant increase among patients with low educational status, and the latter patients often indicated that they did not plan to use telehealth after the pandemic. The perceived usefulness of telehealth and adherence to recommendations increased in the COVID survey compared with the baseline survey (adherence 90.3%, n = 149, vs 78.0%, n = 131; p = 0.002). CONCLUSION: We found a trend towards increased use of telehealth among Swiss ED patients. First-time users of telehealth were predominantly less educated and inclusion of these user groups may not be sustainable, as was indicated by the patients. COVID-19 led to greater adherence to telehealth recommendations and higher perceived usefulness. This could be due to the limited access to healthcare providers due to pandemic precautions. When offering telehealth, the needs of all patient groups must be considered, in order to ensure that telehealth provides the greatest benefit with lower barriers to use.

The Utility of an Online Forward Triage Tool During the SARS-CoV-2 Pandemic: Health Care Provider and Health Authority Perspectives

Introduction The SARS CoV-2 pandemic poses major challenges not only to patients but also to health care professionals and policy-makers, with rapidly changing, sometimes complex, recommendations, and guidelines to the population. Online forward triage tools (OFTT) got a major boost from the pandemic as they helped with the implementation and monitoring of recommendations. Methods A multiphase mixed method sequential explanatory study design was employed. Quantitative data were collected first and informed the qualitative interview guides. Video interviews were held with key informants (health care providers and health authorities) between 2 September and 10 December 2020. Audio-recordings were transcribed verbatim, coded thematically and compared with patient perspectives (framework). Objectives To explore the perspectives of health care providers and authorities in Canton Bern on the utility of a COVID-19 OFTT, as well as elicit recommendations for telehealth in future. Results The following themes emerged;(i) accessibility (ii) health system burden reduction (iii) utility in preventing onward transmission (iv) utility in allaying fear and anxiety (v) medical decision-making utility (vi) utility as information source (vii) utility in planning and systems thinking. The health care providers and health authorities further provided insights on potential barriers and facilitators of telehealth in future. Conclusion Similar to patients, health care providers acknowledge the potential and utility of the COVID-19 OFTT particularly as an information source and in reducing the health system burden. Data privacy, doctor-patient relationship, resistance to change, regulatory, and mandate issues, and lack of systems thinking were revealed as barriers to COVID-19 OFTT utility.

Effects and utility of an online forward triage tool during the SARS-CoV-2 pandemic: a mixed method study and patient perspectives, Switzerland.

OBJECTIVE: To assess the effects (quantitatively) and the utility (qualitatively) of a COVID-19 online forward triage tool (OFTT) in a pandemic context. DESIGN: A mixed method sequential explanatory study was employed. Quantitative data of all OFTT users, between 2 March 2020 and 12 May 2020, were collected. Second, qualitative data were collected through key informant interviews (n=19) to explain the quantitative findings, explore tool utility, user experience and elicit recommendations. SETTING: The working group e-emergency medicine at the emergency department developed an OFTT, which was made available online. PARTICIPANTS: Participants included all users above the age of 18 that used the OFTT between 2 March 2020 and 12 May 2020. INTERVENTION: An OFTT that displayed the current test recommendations of the Federal Office of Public Health on whether someone needed testing for COVID-19 or not. No diagnosis was provided. RESULTS: In the study period, 6272 users consulted our OFTT; 40.2% (1626/4049) would have contacted a healthcare provider had the tool not existed. 560 participants consented to a follow-up survey and provided a valid email address. 31.4% (176/560) participants returned a complete follow-up questionnaire. 84.7% (149/176) followed the recommendations given. 41.5% (73/176) reported that their fear was allayed after using the tool. Qualitatively, seven overarching themes emerged namely (1) accessibility of tool, (2) user-friendliness of tool, (3) utility of tool as an information source, (4) utility of tool in allaying fear and anxiety, (5) utility of tool in medical decision-making (6) utility of tool in reducing the potential for onward transmissions and (7) utility of tool in reducing health system burden. CONCLUSION: Our findings demonstrated that a COVID-19 OFTT does not only reduce the health system burden but can also serve as an information source, reduce anxiety and fear, reduce potential for cross infections and facilitate medical decision-making.

A Utility Framework for COVID-19 Online Forward Triage Tools: A Swiss Telehealth Case Study.

The SARS-CoV-2 pandemic caused a surge in online tools commonly known as symptom checkers. The purpose of these symptom checkers was mostly to reduce the health system burden by providing worried people with testing criteria, where to test and how to self-care. Technical, usability and organizational challenges with regard to online forward triage tools have also been reported. Very few of these online forward triage tools have been evaluated. Evidence for decision frameworks may be of particular value in a pandemic setting where time frames are restricted, uncertainties are ubiquitous and the evidence base is changing rapidly. The objective was to develop a framework to evaluate the utility of COVID-19 online forward triage tools. The development of the online forward triage tool utility framework was conducted in three phases. The process was guided by the socio-ecological framework for adherence that states that patient (individual), societal and broader structural factors affect adherence to the tool. In a further step, pragmatic incorporation of themes on the utility of online forward triage tools that emerged from our study as well as from the literature was performed. Seven criteria emerged; tool accessibility, reliability as an information source, medical decision-making aid, allaying fear and anxiety, health system burden reduction, onward forward transmission reduction and systems thinking (usefulness in capacity building, planning and resource allocation, e.g., tests and personal protective equipment). This framework is intended to be a starting point and a generic tool that can be adapted to other online forward triage tools beyond COVID-19. A COVID-19 online forward triage tool meeting all seven criteria can be regarded as fit for purpose. How useful an OFTT is depends on its context and purpose.

Effectiveness and Utility of Virtual Reality Simulation as an Educational Tool for Safe Performance of COVID-19 Diagnostics: Prospective, Randomized Pilot Trial.

BACKGROUND: Although the proper use of hygiene and personal protective equipment (PPE) is paramount for preventing the spread of diseases such as COVID-19, health care personnel have been shown to use incorrect techniques for donning/doffing of PPE and hand hygiene, leading to a large number of infections among health professionals. Education and training are difficult owing to the social distancing restrictions in place, shortages of PPE and testing material, and lack of evidence on optimal training. Virtual reality (VR) simulation can offer a multisensory, 3-D, fully immersive, and safe training opportunity that addresses these obstacles. OBJECTIVE: The aim of this study is to explore the short- and long-term effectiveness of a fully immersive VR simulation versus a traditional learning method regarding a COVID-19-related skill set and media-specific variables influencing training outcomes. METHODS: This was a prospective, randomized controlled pilot study on medical students (N=29; intervention VR training, n=15, vs control video-based instruction, n=14) to compare the performance of hand disinfection, nasopharyngeal swab taking, and donning/doffing of PPE before and after training and 1 month later as well as variables of media use. RESULTS: Both groups performed significantly better after training, with the effect sustained over one month. After training, the VR group performed significantly better in taking a nasopharyngeal swab, scoring a median of 14 out of 17 points (IQR 13-15) versus 12 out of 17 points (IQR 11-14) in the control group, P=.03. With good immersion and tolerability of the VR simulation, satisfaction was significantly higher in the VR group compared to the control group (median score of User Satisfaction Evaluation Questionnaire 27/30, IQR 23-28, vs 22/30, IQR 20-24, in the control group; P=.01). CONCLUSIONS: VR simulation was at least as effective as traditional learning methods in training medical students while providing benefits regarding user satisfaction. These results add to the growing body of evidence that VR is a useful tool for acquiring simple and complex clinical skills.

Clusters of science and health related Twitter users become more isolated during the COVID-19 pandemic.

COVID-19 represents the most severe global crisis to date whose public conversation can be studied in real time. To do so, we use a data set of over 350 million tweets and retweets posted by over 26 million English speaking Twitter users from January 13 to June 7, 2020. We characterize the retweet network to identify spontaneous clustering of users and the evolution of their interaction over time in relation to the pandemic's emergence. We identify several stable clusters (super-communities), and are able to link them to international groups mainly involved in science and health topics, national elites, and political actors. The science- and health-related super-community received disproportionate attention early on during the pandemic, and was leading the discussion at the time. However, as the pandemic unfolded, the attention shifted towards both national elites and political actors, paralleled by the introduction of country-specific containment measures and the growing politicization of the debate. Scientific super-community remained present in the discussion, but experienced less reach and became more isolated within the network. Overall, the emerging network communities are characterized by an increased self-amplification and polarization. This makes it generally harder for information from international health organizations or scientific authorities to directly reach a broad audience through Twitter for prolonged time. These results may have implications for information dissemination along the unfolding of long-term events like epidemic diseases on a world-wide scale.

Major trauma during COVID-19 in a level 1 trauma centre in Switzerland - a cohort study comparing the years 2020 and 2019.

INTRODUCTION: The COVID-19 pandemic and the associated restrictions may have modified the activities of the Swiss population and thus altered trauma patterns. MATERIALS AND PATIENTS: All adult patients with major trauma admitted to our institution in 2019 and 2020 were assessed using the Injury Severity Score (ISS), by body region involved, type of injury, age, admission to an intensive care unit and 30-day mortality. RESULTS: In 2020, 454 patients with major trauma were admitted to our institution, 17% fewer than in the previous year. The drop in the number of major trauma patients proceeded with and overlapped both the first and second peaks in incidence of the pandemic and the associated restrictions. The median ISS was higher in 2020 (25, interquartile range [IQR] 17-26.5) than in 2019 (22, IQR 16-26, p = 0.04). There were no significant differences in body region involved, type of injury or age (p >0.05). In 2020, a higher percentage of patients were admitted to an intensive care unit (86.5% vs 77.7%, p <0.001) and died within 30 days (8.8% vs 5.0%, p = 0.015). The 30-day mortality was higher in 2020 than in 2019, with an odds ratio of 1.80 (95% confidence interval 1.04-3.10, p= 0.036) after adjustment for the following potential confounders: ISS, age, gender and type of injury. CONCLUSION: In the first year of the COVID-19 pandemic, fewer patients with major trauma were admitted to our institution. However, the patients admitted were more severely injured and more often died within 30 days. Understanding the differences in injury patterns and admissions in major trauma patients under special conditions - such as a pandemic - could help to allocate rare resources adequately.

[SARS-CoV-2 and the digestive tract - Organoids to model gastrointestinal infection]. / SARS-CoV-2-Infektion des Verdauungstrakts ­ Experimentelle Ansätze einer Organoid-basierten in vitro Modellierung.

SARS-CoV-2 is a novel human pathogenic coronavirus whose predilection for the respiratory tract has given rise to a rapid pandemic spread via airborne particles. Organ-specific susceptibility is substantially determined by the density of cell surface expression of ACE2, which is exploited by viral spike protein as a receptor molecule to mediate adhesion and, thus, to permit internalization of the viral genome into the host cell. Based on an ample data set derived from clinical studies and case reports, evidence suggests that distinct cell populations of the digestive and olfactory-gustatory system are equally equipped with membrane-bound ACE2, rendering them "vulnerable" to SARS-CoV-2. Numerous reports on concomitant gastrointestinal complaints and laboratory abnormalities are thought to reflect a relevant degree of organ dysfunction and underscore the tropism of SARS-CoV-2 for the digestive tract. Organoids are three-dimensional in vitro replicas of organ tissue which, owing to their organotypic complex cellular composition and functional resemblance to primary cells, are particularly appreciated for basic research in the field of infectious diseases. This review specifically addresses the involvement of digestive organs by SARS-CoV-2 and outlines the significant contribution of organoid- and primary-cell culture-based models to gaining a deeper understanding of the underlying pathophysiological processes.

Light Sheet Microscopy-Assisted 3D Analysis of SARS-CoV-2 Infection in the Respiratory Tract of the Ferret Model.

The visualization of viral pathogens in infected tissues is an invaluable tool to understand spatial virus distribution, localization, and cell tropism in vivo. Commonly, virus-infected tissues are analyzed using conventional immunohistochemistry in paraffin-embedded thin sections. Here, we demonstrate the utility of volumetric three-dimensional (3D) immunofluorescence imaging using tissue optical clearing and light sheet microscopy to investigate host-pathogen interactions of pandemic SARS-CoV-2 in ferrets at a mesoscopic scale. The superior spatial context of large, intact samples (>150 mm3) allowed detailed quantification of interrelated parameters like focus-to-focus distance or SARS-CoV-2-infected area, facilitating an in-depth description of SARS-CoV-2 infection foci. Accordingly, we could confirm a preferential infection of the ferret upper respiratory tract by SARS-CoV-2 and suggest clustering of infection foci in close proximity. Conclusively, we present a proof-of-concept study for investigating critically important respiratory pathogens in their spatial tissue morphology and demonstrate the first specific 3D visualization of SARS-CoV-2 infection.

SARS-CoV-2 variants B.1.351 and P.1 escape from neutralizing antibodies.

The global spread of SARS-CoV-2/COVID-19 is devastating health systems and economies worldwide. Recombinant or vaccine-induced neutralizing antibodies are used to combat the COVID-19 pandemic. However, the recently emerged SARS-CoV-2 variants B.1.1.7 (UK), B.1.351 (South Africa), and P.1 (Brazil) harbor mutations in the viral spike (S) protein that may alter virus-host cell interactions and confer resistance to inhibitors and antibodies. Here, using pseudoparticles, we show that entry of all variants into human cells is susceptible to blockade by the entry inhibitors soluble ACE2, Camostat, EK-1, and EK-1-C4. In contrast, entry of the B.1.351 and P.1 variant was partially (Casirivimab) or fully (Bamlanivimab) resistant to antibodies used for COVID-19 treatment. Moreover, entry of these variants was less efficiently inhibited by plasma from convalescent COVID-19 patients and sera from BNT162b2-vaccinated individuals. These results suggest that SARS-CoV-2 may escape neutralizing antibody responses, which has important implications for efforts to contain the pandemic.

The development and validation of a resource consumption score of an emergency department consultation.

BACKGROUND: Emergency Department (ED) visits and health care costs are increasing globally, but little is known about contributing factors of ED resource consumption. This study aims to analyse and to predict the total ED resource consumption out of the patient and consultation characteristics in order to execute performance analysis and evaluate quality improvements. METHODS: Characteristics of ED visits of a large Swiss university hospital were summarized according to acute patient condition factors (e.g. chief complaint, resuscitation bay use, vital parameter deviations), chronic patient conditions (e.g. age, comorbidities, drug intake), and contextual factors (e.g. night-time admission). Univariable and multivariable linear regression analyses were conducted with the total ED resource consumption as the dependent variable. RESULTS: In total, 164,729 visits were included in the analysis. Physician resources accounted for the largest proportion (54.8%), followed by radiology (19.2%), and laboratory work-up (16.2%). In the multivariable final model, chief complaint had the highest impact on the total ED resource consumption, followed by resuscitation bay use and admission by ambulance. The impact of age group was small. The multivariable final model was validated (R2 of 0.54) and a scoring system was derived out of the predictors. CONCLUSIONS: More than half of the variation in total ED resource consumption can be predicted by our suggested model in the internal validation, but further studies are needed for external validation. The score developed can be used to calculate benchmarks of an ED and provides leaders in emergency care with a tool that allows them to evaluate resource decisions and to estimate effects of organizational changes.

COVID-19 Misinformation Spread in Eight Countries: Exponential Growth Modeling Study.

BACKGROUND: The epidemic of misinformation about COVID-19 transmission, prevention, and treatment has been going on since the start of the pandemic. However, data on the exposure and impact of misinformation is not readily available. OBJECTIVE: We aim to characterize and compare the start, peak, and doubling time of COVID-19 misinformation topics across 8 countries using an exponential growth model usually employed to study infectious disease epidemics. METHODS: COVID-19 misinformation topics were selected from the World Health Organization Mythbusters website. Data representing exposure was obtained from the Google Trends application programming interface for 8 English-speaking countries. Exponential growth models were used in modeling trends for each country. RESULTS: Searches for "coronavirus AND 5G" started at different times but peaked in the same week for 6 countries. Searches for 5G also had the shortest doubling time across all misinformation topics, with the shortest time in Nigeria and South Africa (approximately 4-5 days). Searches for "coronavirus AND ginger" started at the same time (the week of January 19, 2020) for several countries, but peaks were incongruent, and searches did not always grow exponentially after the initial week. Searches for "coronavirus AND sun" had different start times across countries but peaked at the same time for multiple countries. CONCLUSIONS: Patterns in the start, peak, and doubling time for "coronavirus AND 5G" were different from the other misinformation topics and were mostly consistent across countries assessed, which might be attributable to a lack of public understanding of 5G technology. Understanding the spread of misinformation, similarities and differences across different contexts can help in the development of appropriate interventions for limiting its impact similar to how we address infectious disease epidemics. Furthermore, the rapid proliferation of misinformation that discourages adherence to public health interventions could be predictive of future increases in disease cases.

Die COVID-19-Pandemie im akutstationären Setting aus Sicht von Führungspersonen und Hygienefachkräften in der Pflege - Eine qualitative Studie

The COVID-19-pandemic in acute inpatient setting from nursing managers' and hygiene specialists' perspective - A qualitative study Abstract. Background: The COVID-19-pandemic is an unprecedented, exceptional situation and necessitates numerous adaptations of structures and processes in the acute inpatient setting. AIM: The aim of this study was to explore how acute inpatient care was influenced by the pandemic and which implications may result for the future from nursing managers' and hygiene specialists' point of view. METHODS: Qualitative study based on semi-structured interviews with five nursing managers and three hygiene specialists in four German acute care hospitals. Interviews were interpreted by using content analysis. RESULTS: Interviewees described how everyday routines in their hospitals were adapted to the prioritized care for COVID-19 patients. Main challenges were uncertainty and anxiety among staff, relative scarcity of equipment and workforce resources and rapid implementation of new requirements for treatment capacities. This was addressed by targeted communication and information, large efforts to ensure resources and coordinated control of all processes by cross-department, interprofessional task forces. CONCLUSIONS: Adaptations made to the structures and procedures of care delivery during the pandemic hold potential for future improvements of routine care, e. g. new workplace and skill mix models. To identify detailed practical implications, a renewed and deepened data analysis is needed at a later point of time, with a larger distance to the period of the pandemic.

Camostat Mesylate May Reduce Severity of Coronavirus Disease 2019 Sepsis: A First Observation.

Severe acute respiratory syndrome coronavirus 2 cell entry depends on angiotensin-converting enzyme 2 and transmembrane serine protease 2 and is blocked in cell culture by camostat mesylate, a clinically proven protease inhibitor. Whether camostat mesylate is able to lower disease burden in coronavirus disease 2019 sepsis is currently unknown. DESIGN: Retrospective observational case series. SETTING: Patient treated in ICU of University hospital Göttingen, Germany. PATIENTS: Eleven critical ill coronavirus disease 2019 patients with organ failure were treated in ICU. INTERVENTIONS: Compassionate use of camostat mesylate (six patients, camostat group) or hydroxychloroquine (five patients, hydroxychloroquine group). MEASUREMENTS AND MAIN RESULTS: Clinical courses were assessed by Sepsis-related Organ Failure Assessment score at days 1, 3, and 8. Further, viral load, oxygenation, and inflammatory markers were determined. Sepsis-related Organ Failure Assessment score was comparable between camostat and hydroxychloroquine groups upon ICU admission. During observation, the Sepsis-related Organ Failure Assessment score decreased in the camostat group but remained elevated in the hydroxychloroquine group. The decline in disease severity in camostat mesylate treated patients was paralleled by a decline in inflammatory markers and improvement of oxygenation. CONCLUSIONS: The severity of coronavirus disease 2019 decreased upon camostat mesylate treatment within a period of 8 days and a similar effect was not observed in patients receiving hydroxychloroquine. Camostat mesylate thus warrants further evaluation within randomized clinical trials.

Barriers to seeking emergency care during the COVID-19 pandemic may lead to higher morbidity and mortality - a retrospective study from a Swiss university hospital.

AIMS OF THE STUDY: While COVID-19 significantly overburdens emergency rooms (ERs) and hospitals in affected areas, ERs elsewhere report a marked decrease in patient numbers. This study aimed to investigate the assumption that patients with urgent problems currently avoid the ER. METHODS: Electronic health records from the ER of a large Swiss university hospital were extracted for three periods: first, the awareness phase (ap) from the publication of the national government’s initiative “How to protect ourselves” on 1 March 2020 to the lockdown of the country on 16 March; second, the mitigation phase (mp) from 16–30 March; finally, patients presenting in March 2019 were used as a control group. We compared parameters including a critical illness as the discharge diagnosis (e.g., myocardial infarction, stroke, sepsis and ER death) using logistic and linear regression, as well as 15-day bootstrapped means and 95% confidence intervals for the control group. RESULTS: In the three periods, a total of 7143 patients were treated. We found a 24.9% (42.5%) significant decline in the number of patients presenting during the ap (mp). Patients presenting during the mp were more likely to be critically ill. There was an increase of 233% and 367% (ap and mp, respectively) of ER deaths (none related to COVID-19) compared with the control period. Apart from polytrauma (increase of 5% in the mp), all other critical illnesses as discharge diagnosis showed a lower incidence in descriptive analysis. Significantly more patients died in the ER in both the ap and mp. CONCLUSIONS: Barriers to seeking emergency care during COVID-19 pandemic may lead to higher morbidity and mortality. Healthcare authorities and hospitals must ensure low barriers to treatment and business as usual for all patients.