JISAR

Journal of Information Systems Applied Research

Volume 16

V16 N1 Pages 21-34

Mar 2023


Short Stay Healthcare Quality in Skilled Nursing Facilities: Occupancy, Nurse Staff Mix, and COVID-19


Elaine Winston
Hofstra University
Hempstead, NY USA

Jason Xiong
Appalachian State University
Boone, NC USA

Dawn Medlin
Appalachian State University
Boone, NC USA

Alex Pelaez
Hofstra University
Hempstead, NY USA

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.

Download this article: JISAR - V16 N1 Page 21.pdf


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