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Staffing Levels and COVID-19 Infections and Deaths in Korean Nursing Homes.
Lee, Jiyeon; Shin, Juh Hyun; Lee, Kyeong Hun; Harrington, Charlene A; Jung, Sun Ok.
  • Lee J; 65483Catholic University of Pusan, Busan, Korea.
  • Shin JH; College of Nursing, 26717Ewha Womans University, Seoul, Korea.
  • Lee KH; Department of Finance, Norwegian School of Economics, Bergen, Norway.
  • Harrington CA; Dept. of Social & Behavioral Sciences, School of Nursing, UCSF, California, USA.
  • Jung SO; College of Nursing, 26717Ewha Womans University, Seoul, Korea.
Policy Polit Nurs Pract ; 23(1): 15-25, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1582584
ABSTRACT
The novel coronavirus disease 2019 (COVID-19) spread rapidly worldwide. Nursing home (NH) residents are the most vulnerable high-risk population to infection. Professional registered nurses' (RNs') infection control is irreplaceable. We used a secondary data analysis method using the government's senior citizen welfare department large data set about all NHs (N = 3,389) across Korea between January 20 and October 20, 2020. Bed size positively associated with the mortality rate (No. of COVID-19 resident deaths / No. of total residents) (p = .048). When the proportion of RNs to total nursing staff was higher, the infection rate was 0.626% lower (p = .049), the mortality rate was 0.088% lower (p = .076), the proportion of confirmed COVID-19 cases per resident out of the total number of NHs was 44.472% lower (p = .041), and the proportion of confirmed COVID-19 deaths per resident out of the total number of NHs was 6.456% lower (p = .055). This study highlighted nurse staffing criteria and suggests that increasing RNs in NHs will reduce infection and mortality rates during the COVID-19 pandemic. We strongly suggest NHs hire at least one RN per day to properly function, and a minimum of four RNs to provide a fully competent RN workforce in long-term care settings in Korean NHs.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Policy Polit Nurs Pract Journal subject: Nursing / Public Health Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Policy Polit Nurs Pract Journal subject: Nursing / Public Health Year: 2022 Document Type: Article