PubMed COVID-19 Clinical Care

No abstract

In situations like the COVID-19 pandemic, healthcare systems are under enormous pressure as they can rapidly collapse under the burden of the crisis. Machine learning (ML) based risk models could lift the burden by identifying patients with a high

The COVID-19 pandemic has placed unprecedented strain on global health systems, and the ability to safely and effectively deliver care. Further, it has impacted the mental health of global populations, in particular healthcare providers (i.e

Antimicrobial stewardship (AMS) programs in hospitals comprise coordinated strategies to optimise antimicrobial use. The COVID-19 pandemic had a significant impact on the healthcare system, including AMS. This study aimed to understand the work

CONCLUSIONS: The COVID-19 crisis magnified pre-pandemic problems and in particular, poor staffing levels. Maintaining services took a significant toll on staff wellbeing. There is some evidence that these pressures are continuing. There was marked

COVID-19 associated severe acute liver injury in a young healthy patient has not been reported much in the literature. And currently, there are no standard management guidelines. We want to report a case of acute liver injury of mixed pattern in a

CONCLUSION: Local partners faced challenges, including unfamiliarity with USAID funding, increasing targets across several indicators, and the syndemics of HIV/AIDS and COVID-19. A higher percentage of targets and funding led South African local

CONCLUSIONS: Community pharmacists are subject to multiple factors affecting their practice, impairing their mental well-being and triggering them to reconsider their career choice. It is important to provide support to community pharmacists to help

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No abstract