Journal of the American Medical Directors Association
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To describe clinical characteristics and risk factors associated with coronavirus disease 2019 (COVID-19) in long-stay nursing home residents. ⋯ Among long-term care residents diagnosed with COVID-19, nearly one-half were asymptomatic at the time of diagnosis. Predictors of COVID-19 infection included male sex, bowel incontinence, and staff residence in a community with a high burden of COVID-19. Universal testing of patients and staff in communities with high COVID-19 rates is essential to mitigate outbreaks.
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Lung ultrasonographic (LUS) imaging may play an important role in the management of patients with COVID-19-associated lung injury, particularly in some special populations. However, data regarding the prognostic role of the LUS in nursing home residents, one of the populations most affected by COVID-19, are not still available. ⋯ LUS is able to significantly predict mortality in nursing home residents affected by COVID-19, suggesting that this simple tool can be routinely used in this setting instead of more invasive techniques available only in hospital.
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During the Coronavirus Disease 2019 (COVID-19) pandemic, US nursing homes (NHs) have been under pressure to maintain staff levels with limited access to personal protection equipment (PPE). This study examines the prevalence and factors associated with shortages of NH staff during the COVID-19 pandemic. ⋯ Abundant staff shortages were reported by NHs and were mainly driven by COVID-19 factors. In the absence of appropriate staff, NHs may be unable to fulfill the requirement of infection control even under the risk of increased monetary penalties.
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Previous studies report higher hospitalization rates in for-profit compared with nonprofit long-term care facilities (LTCFs), but have not included staffing data, a major potential confounder. Our objective was to examine the effect of ownership on hospital admission rates, after adjusting for facility staffing levels and other facility and resident characteristics, in a large Canadian province (British Columbia). ⋯ This is the first Canadian study using linked health data from hospital discharge records, MDS 2.0, facility staffing, and ownership records to examine the adjusted effect of facility ownership characteristics on hospital use of LTCF residents. We found significantly lower adjHRs for hospital admission in publicly owned facilities compared with both for-profit and nonprofit facilities. Our finding that publicly owned facilities have lower hospital admission rates compared with for-profit and nonprofit facilities can help inform decision-makers faced with the challenge of optimizing care models in both nursing homes and hospitals as they build capacity to care for aging populations.