ABSTRACT
Patients admitted with COVID-19 can develop delirium due to predisposing factors, isolation, and the illness itself. Standard delirium prevention methods focus on interaction and stimulation. It can be challenging to deliver these methods of care in COVID settings where it is necessary to increase patient isolation. This paper presents a typical clinical vignette of representative patients in a tertiary care hospital and how a medical team modified an evidence-based delirium prevention model to deliver high-quality care to COVID-19 patients. The implemented model focuses on four areas of delirium-prevention: Mobility, Sleep, Cognitive Stimulation, and Nutrition. Future studies will be needed to track quantitative outcome measures.
Subject(s)
Alzheimer Disease/diagnosis , Alzheimer Disease/therapy , COVID-19/prevention & control , Delirium/prevention & control , Aged , Alzheimer Disease/psychology , COVID-19/epidemiology , COVID-19/psychology , Delirium/epidemiology , Delirium/psychology , Humans , MaleABSTRACT
The coronavirus disease 2019 pandemic warrants an unprecedented global healthcare response requiring maintenance of existing hospital-based services while simultaneously preparing for high-acuity care for infected and sick individuals. Hospitals must protect patients and the diverse healthcare workforce by conserving personal protective equipment and redeployment of facility resources. While each hospital or health system must evaluate their own capabilities and surge capacity, we present principles of management of surgical services during a health emergency and provide specific guidance to help with decision making. We review the limited evidence from past hospital and community responses to various health emergencies and focus on systematic methods for adjusting surgical services to create capacity, addressing the specific risks of coronavirus disease 2019. Successful strategies for tiered reduction of surgical cases involve multidisciplinary engagement of the entire healthcare system and use of a structured risk-assessment categorization scheme that can be applied across the institution. Our institution developed and operationalized this approach over 3 working days, indicating that immediate implementation is feasible in response to an unforeseen healthcare emergency.