Abstract: Recently, there has been a shift in the Skilled Nursing Facility (SNF) industry to provide short stay health care services, rather than long-term care. The shift to short-term care and the availability of government public domain databases of quality measures have become focal points of healthcare discussions during the COVID-19 pandemic. This study explores COVID-19 pandemic outcomes by analyzing government short-stay quality metrics, occupancy rates, and nurse staff mix levels in SNFs. A statistical analysis provides results as predictive factors of short-term quality. These factors are used to explore COVID-19 outcomes. The study indicates that a higher number of Certified Nursing Assistants (CNAs) and Licensed Practical Nurses (LPNs) in relation to the number of Registered Nurses (RNs) suggests better COVID-19 healthcare outcomes. A higher occupancy rate also suggests better COVID-19 outcomes. Additionally, nurse staff who understand Information and Communication Technologies (ICTs) may help improve short-stay quality healthcare outcomes by providing critical information to healthcare administrators and governmental policymakers.
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Recommended Citation: Winston, E., Xiong, J., Medlin, D., Pelaez, A., (2023). Short Stay Healthcare Quality in Skilled Nursing Facilities: Occupancy, Nurse Staff Mix, and COVID-19. Journal of Information Systems Applied Research16(1) pp 21-34. http://JISAR.org/2023-1/ ISSN : 1946 - 1836. A preliminary version appears in The Proceedings of CONISAR 2022