ArticleInternational journal of environmental research and public health2021
Changes in Nurse Staffing Grades of Korean Hospitals during COVID-19 Pandemic.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed, 7 citations in OpenAlex.
- The illusion of improved nurse staffing levels in South Korea during COVID-19: a statistical artifact of policy changes and declining patient volume.BMC nursing · 2026Article
- Challenges in Planning the Hospital Nursing Workforce Under the Government-Led Response to COVID-19 in South Korea: A Descriptive, Qualitative Study.Journal of advanced nursing · 2025Article
- Improvement in nurse staffing ratios according to policy changes: a prospective cohort study.BMC nursing · 2024Article
- Investigating host-virus interaction mechanism and phylogenetic analysis of viral proteins involved in the pathogenesis.PloS one · 2021Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
The global COVID-19 pandemic is creating challenges to manage staff ratios in clinical units. Nurse staffing level is an important indicator of the quality of care. This study aimed to identify any changes in the nurse staffing levels in the general wards of hospitals in Korea during the COVID-19 pandemic. The unit of analysis was the hospitals. This longitudinal study observed the quarterly change of the nurse staffing grades in 969 hospitals in 2020. The nurse staffing grades ranged from 1 to 7 according to the nurse-patient ratio measured by the number of patients (or beds) per nurse. The major dependent and independent variables were the change of nurse staffing grades and three quarterly observation points being compared with those during the 1st quarter (1Q) of 2020, respectively. A generalized linear model was used. Unexpectedly, the nurse staffing grades significantly improved (2Q: RR, 27.2%; 95% confidence interval (CI), 15.1-27.6;
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