Evaluation of Chemical, Biological, Radiological, Nuclear, Explosives (CBRNE) Knowledge Change and Skills Confidence Among Frontline-Line Providers During the Russia-Ukraine War.

OBJECTIVE: The aim of this study was to evaluate the change in knowledge and skill confidence after implementation of a chemical, biological, radiological, nuclear, and explosive (CBRNE) training course during the Russia-Ukraine War. METHODS: Pre/post-test study in the Ukrainian cities of Kyiv, Dnipro, Zaporizhzhia, and Odesa. Fifteen CBRNE courses were conducted over a 3-mo period, August to October 2022. Change in knowledge and skills confidence were evaluated with pre/post-course written exams and practical skill assessments that were observed during the training exercises. Changes were analyzed based on nonparametric Wilcoxon matched-pairs signed-rank testing. Pre/post self-efficacy surveys were analyzed with McNemar's test for paired data. Course evaluations were conducted with standardized questions which assessed instruction quality, teaching relevance, knowledge gained, and post-course skills confidence. RESULTS: A total of 523 participants registered and completed 1 of the 15 courses. Overall mean pre-course test score: 57.8% (SD 20.7%); mean post-course test score: 81.4% (SD 11.3%); participants with increasing test scores: 90.7%; mean difference in score (95% confidence interval) 23.6% (21.2%-25.9%), P < 0.0001. Pre/post self-efficacy surveys (4-point Likert scale) noted participants recognized signs and symptoms of a CBRNE incident, and necessary skills to manage CBRNE exposures, P < 0.0001. CONCLUSIONS: The implementation of this CBRNE course for front-line providers in Ukraine was successful. To our knowledge, it was the first implementation of a field course during the current Russian-Ukraine war. Future research should evaluate knowledge retention and impact of our innovative Train-the-Trainer model. Further iterations should emphasize expanding the quantity of training equipment and practical skill sessions.

Crisis standards of care within the first wave of the COVID-19 pandemic.

The ability of the healthcare infrastructure to overcome overwhelming needs during a crisis or disaster with equitable care stems from the implementation of crisis standards of care (CSC). CSC provides a framework for the discussion and planning of how to adapt care to meet these needs, while focusing on the greatest good for the greatest number. The COVID-19 pandemic has challenged healthcare infrastructure, but no formal CSC declaration or disclosure to the public within the first wave of the COVID-19 pandemic leads to the need for further inquiry surrounding the planning and implementation for CSC. This research evaluates data and inferential indicators related to CSC implementations from public documents in Brazil, India, Italy, and New York State during the first wave of the COVID-19 pandemic. Were there mitigation methods that could be implemented prior to the need for CSC? Are there policy and decision-making implications to CSC? Lastly, how does CSC relate to changes in mortality during a pandemic, especially with the phenomena surrounding excess mortality? While CSC were not openly implemented by any nation or state in the first wave of the COVID-19 pandemic, CSC principle use of expanding capacity to non-clinical areas, need for healthcare workers, critical supply lacking, and excess mortality, along with healthcare collapse for India and Brazil can be gleaned from the data. Acknowledging a strain on healthcare infrastructure and the need for CSC implementation allows for the community to respond as a whole to better ensure that care remains equitable.

Metagenomic characterization of ambulances across the USA.

BACKGROUND: Microbial communities in our built environments have great influence on human health and disease. A variety of built environments have been characterized using a metagenomics-based approach, including some healthcare settings. However, there has been no study to date that has used this approach in pre-hospital settings, such as ambulances, an important first point-of-contact between patients and hospitals. RESULTS: We sequenced 398 samples from 137 ambulances across the USA using shotgun sequencing. We analyzed these data to explore the microbial ecology of ambulances including characterizing microbial community composition, nosocomial pathogens, patterns of diversity, presence of functional pathways and antimicrobial resistance, and potential spatial and environmental factors that may contribute to community composition. We found that the top 10 most abundant species are either common built environment microbes, microbes associated with the human microbiome (e.g., skin), or are species associated with nosocomial infections. We also found widespread evidence of antimicrobial resistance markers (hits ~ 90% samples). We identified six factors that may influence the microbial ecology of ambulances including ambulance surfaces, geographical-related factors (including region, longitude, and latitude), and weather-related factors (including temperature and precipitation). CONCLUSIONS: While the vast majority of microbial species classified were beneficial, we also found widespread evidence of species associated with nosocomial infections and antimicrobial resistance markers. This study indicates that metagenomics may be useful to characterize the microbial ecology of pre-hospital ambulance settings and that more rigorous testing and cleaning of ambulances may be warranted.