PubMed COVID-19 Clinical Care

No abstract

CONCLUSIONS: Our results showed that eHealth literacy has multi-layered determinants and positive outcomes. Different strategies at different policy levels are needed to improve the eHealth literacy levels of healthy adults.

CONCLUSIONS: Fair patient information for ISBCS has been demonstrated. Specific internet information sources with appropriate information should be further developed, with cited sources, and patients signposted to them if felt appropriate.

BACKGROUND: A large epidemic, such as that observed with SARS-CoV-2, seriously challenges available hospital capacity, and this would be augmented by infection of healthcare workers (HCW). Bacillus Calmette-Guérin (BCG) is a vaccine against

CONCLUSION: Global research into the use of art therapy-based methods to address burnout and psychosocial distress in HCWs is growing. Whilst further high-quality evidence such as randomised controlled trials would be beneficial, findings suggest

The Pharma Proteomics Project is a precompetitive biopharmaceutical consortium characterizing the plasma proteomic profiles of 54,219 UK Biobank participants. Here we provide a detailed summary of this initiative, including technical and biological

Decreased total CO(2) (tCO(2)) is significantly associated with all-cause mortality in critically ill patients. Because of a lack of data to evaluate the impact of tCO(2) in patients with COVID-19, we assessed the impact of tCO(2) on all-cause

CONCLUSION: This study shows that for patients with severe COVID-19 hospitalized in medical wards, standard COVID-19 treatment, along with the timely utilization of HFNO and prone positioning, resulted in excellent outcomes with fewer ICU admission

Wastewater surveillance has emerged recently as a powerful approach to understanding infectious disease dynamics in densely populated zones. Wastewater surveillance, while promising as a public health tool, is often hampered by slow turn-around times

This study examines population-level daily patterns of time-stamped emergency medical service (EMS) dispatches to establish their situational predictability. Using visualization, sinusoidal regression, and statistical tests to compare empirical