The Impact of the Covid-19 Pandemic on Registered Nurse Employment Across Settings

Dados Bibliográficos

ID9102563
AutoresCharlotte Ahr (0009-0006-4914-8219, University of Michigan School of Nursing, Ann Arbor, MI), C Jonathan Ahr (University of Michigan, autor correspondente), Claudia Gates (University of Michigan School of Nursing, Ann Arbor, MI), Cara Gates (University of Michigan, autor correspondente), Thuy D Nguyen (University of Michigan School of Public Health, Ann Arbor, MI), Christopher R Friese (0000-0002-2281-2056, University of Michigan School of Nursing, Ann Arbor, MI, autor correspondente), Milisa Manojlovich (0000-0002-6101-5535, University of Michigan School of Nursing, Ann Arbor, MI, autor correspondente), Maradee A Davis (0000-0001-6544-0451, University of Michigan, autor correspondente), Matthew A Davis (University of Michigan School of Nursing, Ann Arbor, MI)
Ano2026
Volume64
Fascículo5
Páginas274-282
Data de publicação2026-02-04
Peer ReviewedSim
Open AccessNão
TipoARTICLE
PeriódicoMedical Care (JOURNAL)
Identificadores do periódicoISSN: 0025-7079 • E-ISSN: 1537-1948
EditoraOvid Technologies (Wolters Kluwer Health) (PUBLISHER)
DOI10.1097/mlr.0000000000002294
PMID41636701
OpenAlexW7127567579
IdiomaEN
Referências citadas30

BACKGROUND: It is unknown whether the stress of the COVID-19 pandemic, which had a particular impact on inpatient and long-term care (LTC) nurses, had an effect on nurses' choice of employment settings. OBJECTIVE: Determine whether the COVID-19 pandemic contributed to changes in nurses' choice of employment setting. METHODS: This study used data from the 2018 and 2022 National Sample Survey of Registered Nurses to conduct a difference-in-difference analysis. We constructed a state-level measure of COVID-19 caseload, defined as COVID-19 cases per hospital bed; High versus Low COVID-19 states were defined as those above versus below the median, respectively. Logistic regression models were used to estimate the effect of exposure to High COVID-19 caseload (vs. Low) and time (2022 vs. 2018) on nurse employment choices across inpatient, LTC, outpatient, and nonclinical settings. RESULTS: From 2018 to 2022, the size of the US nursing workforce grew from 3.27 to 3.57 million nurses; however, RN FTEs increased in outpatient settings and decreased in all other settings. In adjusted analyses, nurses were less likely to work in LTC settings in 2022 than in 2018; yet, those exposed to High COVID-19 caseloads were 0.9% (95% CI: 0.3-1.5) more likely to work in LTC than those exposed to Low COVID-19 caseloads. Differences between High versus Low COVID-19 caseload exposure were not statistically significant for the likelihood of working in inpatient, outpatient, and nonclinical settings. CONCLUSIONS: Our findings suggest that exposure to High COVID-19 caseload was not associated with changes in nurses' employment settings

2019-20 coronavirus outbreak · Coronavirus disease 2019 (COVID-19) · MEDLINE · Pandemic · Registered nurse · COVID-19 and healthcare impacts · COVID-19 and Mental Health · Geriatric Care and Nursing Homes