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.

[Dooring Bicycle Accidents with Severe Injury Patterns: 10-Year Study of a Level 1 Trauma Center]. / Dooring-Fahrradunfälle mit schweren Verletzungsmustern: 10-Jahres-Studie eines Level-1-Traumazentrums.

Dooring Bicycle Accidents with Severe Injury Patterns: 10-Year Study of a Level 1 Trauma Center Abstract. Studies in Switzerland, Germany and Austria have shown that, contrary to popular belief, dooring accidents are among the most common bicycle accidents. The resulting injuries are often serious and often lead to hospital admission. All dooring accidents of the Inselspital Emergency Department in Bern between 2012 and 2021 were identified and evaluated retrospectively. The data were generated from the database of the management system (Ecare) of the University Hospital Bern by means of a search query with the German keywords: "Autotüre", "Autotuere", "Dooring" and were anonymised. Most patients were female and on average 34 years old; most injuries occurred to the head and the extremities. Treatment was mostly done on an outpatient basis. The ISS (Injury Severity Score) was an average of 3.5. One of the patients needed emergency surgery. This is the first Swiss study to systematically record and evaluate dooring accidents. Since cycling is a trend, especially in urban areas, and consequently the number of cyclists is constantly increasing, it can be assumed that the number of dooring injuries will also increase and corresponding prevention measures will have to be taken. The current COVID-19 pandemic tends to aggravate the problem, as in the context of infection control the number of cyclists and, consequently, accidents is increasing, especially in urban areas, in the context of infection control. This said, it is crucial to gain more information about the time slots of the accidents and the casualties through appropriate studies in order to take adequate preventive and protective measures.

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.

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.

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.

Development and validation of a prognostic COVID-19 severity assessment (COSA) score and machine learning models for patient triage at a tertiary hospital.

BACKGROUND: Clinical risk scores and machine learning models based on routine laboratory values could assist in automated early identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) patients at risk for severe clinical outcomes. They can guide patient triage, inform allocation of health care resources, and contribute to the improvement of clinical outcomes. METHODS: In- and out-patients tested positive for SARS-CoV-2 at the Insel Hospital Group Bern, Switzerland, between February 1st and August 31st ('first wave', n = 198) and September 1st through November 16th 2020 ('second wave', n = 459) were used as training and prospective validation cohort, respectively. A clinical risk stratification score and machine learning (ML) models were developed using demographic data, medical history, and laboratory values taken up to 3 days before, or 1 day after, positive testing to predict severe outcomes of hospitalization (a composite endpoint of admission to intensive care, or death from any cause). Test accuracy was assessed using the area under the receiver operating characteristic curve (AUROC). RESULTS: Sex, C-reactive protein, sodium, hemoglobin, glomerular filtration rate, glucose, and leucocytes around the time of first positive testing (- 3 to + 1 days) were the most predictive parameters. AUROC of the risk stratification score on training data (AUROC = 0.94, positive predictive value (PPV) = 0.97, negative predictive value (NPV) = 0.80) were comparable to the prospective validation cohort (AUROC = 0.85, PPV = 0.91, NPV = 0.81). The most successful ML algorithm with respect to AUROC was support vector machines (median = 0.96, interquartile range = 0.85-0.99, PPV = 0.90, NPV = 0.58). CONCLUSION: With a small set of easily obtainable parameters, both the clinical risk stratification score and the ML models were predictive for severe outcomes at our tertiary hospital center, and performed well in prospective validation.