Journal of the American Medical Directors Association
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To assess whether using coronavirus disease 2019 (COVID-19) community activity level can accurately inform strategies for routine testing of facility staff for active severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. ⋯ We failed to observe a meaningful threshold of community COVID-19 activity for the purpose of predicting nursing homes with any positive staff. Guidance issued by the Centers for Medicare and Medicaid Services in August 2020 sets the minimum frequency of routine testing for nursing home staff based on county positivity rates. Using the recommended 5% county positivity rate to require weekly testing may miss asymptomatic infections among nursing home staff. Further data on results of all-staff testing efforts, particularly with the implementation of new widespread strategies such as point-of-care testing, is needed to guide policy to protect high-risk nursing home residents and staff. If the goal is to identify all asymptomatic SARS-Cov-2 infected nursing home staff, comprehensive repeat testing may be needed regardless of community level activity.
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Nursing homes became epicenters of COVID-19 in the spring of 2020. Due to the substantial case fatality rates within congregate settings, federal agencies recommended restrictions to family visits. Six months into the COVID-19 pandemic, these largely remain in place. The objective of this study was to generate consensus guidance statements focusing on essential family caregivers and visitors. ⋯ The COVID-19 pandemic has seen substantial regulatory changes without strong consideration of the impact on residents. In the absence of timely and rigorous research, the involvement of clinicians and patient care advocates is important to help create the balance between individual resident preferences and the health of the collective. The results of this evidence-based Delphi process will help guide policy decisions as well as inform future research.
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Clinical implications of asymptomatic cases of the novel coronavirus disease 2019 (COVID-19) in nursing homes remain poorly understood. We assessed the association of symptom status and medical comorbidities on mortality and hospitalization risk associated with COVID-19 in residents across 15 nursing homes in Maryland. ⋯ Asymptomatic infection with SARS-CoV-2 in the nursing home setting was associated with increased risk of death, suggesting a need for closer monitoring of these residents, particularly those with underlying cardiovascular and respiratory comorbidities.
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The strain on health care systems due to the COVID-19 pandemic has led to increased psychological distress among health care workers (HCWs). As this global crisis continues with little signs of abatement, we examine burnout and associated factors among HCWs. ⋯ Every level of the health care workforce is susceptible to high levels of burnout during this pandemic. Modifiable workplace factors include adequate training, avoiding prolonged shifts ≥8 hours, and promoting safe working environments. Mitigating strategies should target every level of the health care workforce, including frontline and nonfrontline staff. Addressing and ameliorating burnout among HCWs should be a key priority for the sustainment of efforts to care for patients in the face of a prolonged pandemic.
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Inform coronavirus disease 2019 (COVID-19) infection prevention measures by identifying and assessing risk and possible vectors of infection in nursing homes (NHs) using a machine-learning approach. ⋯ A machine-learning model can help quantify and predict NH infection risk. The identified risk factors support the early identification and management of presymptomatic and asymptomatic individuals (eg, staff) entering the NH from the surrounding community and the development of financially sustainable staff testing initiatives in preventing COVID-19 infection.