Evidence map›Paper›PMID 41636701›Full record

ArticleMedical care2026

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

Charlotte Ahr, Claudia Gates, Thuy D Nguyen, Christopher R Friese, Milisa Manojlovich, Matthew A Davis

Abstract read
In one paragraph

Article in Medical care, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Charlotte AhrUniversity of Michigan School of Nursing, Ann Arbor, MI.ORCID 0009-0006-4914-8219
Claudia GatesUniversity of Michigan School of Nursing, Ann Arbor, MI.
Thuy D NguyenUniversity of Michigan School of Public Health, Ann Arbor, MI.
Christopher R FrieseUniversity of Michigan School of Nursing, Ann Arbor, MI.
Milisa ManojlovichUniversity of Michigan School of Nursing, Ann Arbor, MI.
Matthew A DavisUniversity of Michigan School of Nursing, Ann Arbor, MI.

Funding

Complexity: Innovations in Promoting Health through Team ScienceT32NR016914 · NINR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MARJORIE E MCCULLAGH · 2017 to 2026
$3.5M
NINR NIH HHS T32 NR016914
6 · The paper itself

Abstract

backgroundIt 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.

objectiveDetermine whether the COVID-19 pandemic contributed to changes in nurses' choice of employment setting.

methodsThis 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.

resultsFrom 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.

conclusionsOur findings suggest that exposure to High COVID-19 caseload was not associated with changes in nurses' employment settings.

Indexed as

COVID-19EmploymentNursesAdultFemaleFrontline WorkersHumansMaleMiddle AgedPandemicsSARS-CoV-2United StatesWorkloadCOVID-19health workforcenursesworkplace

Identifiers

PMID41636701
PMCPMC13660365

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.