Evidence map›Paper›PMID 38917747›Full record

ArticleInternational journal of nursing studies2024

Hospital nurse staffing variation and Covid-19 deaths: A cross-sectional study.

Karen B Lasater, Matthew D McHugh, Linda H Aiken

Abstract read
In one paragraph

Article in International journal of nursing studies, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

9 citing papers in PubMed.

  1. Article
  2. Hospital Capacity Pooling in Pandemics: Simulation-Based Mortality Impacts and Diversification Mechanisms.Risk analysis : an official publication of the Society for Risk Analysis · 2026
    Article
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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

3 authors.

Karen B LasaterCenter for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania, Philadelphia, PA, United States of America; The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States of America. Electronic address: karenbl@nursing.upenn.edu.
Matthew D McHughCenter for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania, Philadelphia, PA, United States of America; The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States of America.
Linda H AikenCenter for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania, Philadelphia, PA, United States of America; The Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, United States of America.

Funding

The Impact of Changes in Nursing Systems and Models of Care on Patient Outcomes: A Panel StudyR01NR014855 · NINR · UNIVERSITY OF PENNSYLVANIA · PI Matthew D. McHugh · 2014 to 2026
$7.5M
Learning from Hospital Preparedness during COVID: Chronically Under-Resourced Nurses and Patient SafetyR01HS028978 · AHRQ · UNIVERSITY OF PENNSYLVANIA · PI LASATER, KAREN BLANCHETTE · 2022 to 2024
$1.1M
AHRQ HHS R01 HS028978NINR NIH HHS R01 NR014855
6 · The paper itself

Abstract

backgroundDuring the Covid-19 pandemic, Covid-19 mortality varied depending on the hospital where patients were admitted, but it is unknown what aspects of hospitals were important for mitigating preventable deaths.

objectiveTo determine whether hospital differences in pre-pandemic and during pandemic nursing resources-average patient-to-registered nurse (RN) staffing ratios, proportion of bachelor-qualified RNs, nurse work environments, Magnet recognition-explain differences in risk-adjusted Covid-19 mortality; and to estimate how many deaths may have been prevented if nurses were better resourced prior to and during the pandemic.

methodsThis is a cross-sectional study of 87,936 Medicare beneficiaries (65-99 years old) hospitalized with Covid-19 and discharged (or died) between April 1 and December 31, 2020, in 237 general acute care hospitals in New York and Illinois. Measures of hospital nursing resources (i.e. patient-to-RN staffing ratios, proportion of bachelor-qualified RNs, nurse work environments, Magnet recognition) in the pre-pandemic period (December 2019 to February 2020) and during (April to June 2021) were used to predict in-hospital and 30-day mortality using adjusted logistic regression models.

resultsThe mean age of patients was 78 years (8.6 SD); 51 % were male (n = 44,998). 23 % of patients admitted to the hospital with Covid-19 died during the hospitalization (n = 20,243); 31.5 % died within 30-days of admission (n = 27,719). Patients admitted with Covid-19 to hospitals with better nursing resources pre-pandemic and during the pandemic were statistically significantly less likely to die. For example, each additional patient in the average nurses' workload pre-pandemic was associated with 20 % higher odds of in-hospital mortality (OR 1.20, 95 % CI [1.12-1.28], p < 0.001) and 15 % higher odds of 30-day mortality (OR 1.15, 95 % CI [1.09-1.21], p < 0.001). Hospitals with greater proportions of BSN-qualified RNs, better quality nurse work environments, and Magnet recognition offered similar protective benefits to patients during the pandemic. If all hospitals in the study had superior nursing resources prior to or during the pandemic, models estimate many thousands of deaths among patients hospitalized with Covid-19 could have been avoided.

conclusionsPatients with Covid-19 admitted to hospitals with adequate numbers of RNs caring for patients, a workforce rich in BSN-qualified RNs, and high-quality nurse work environments (both prior to and during the Covid-19 pandemic) were more likely to survive the hospitalization. Bolstering these hospital nursing resources during ordinary times is necessary to ensure better patient outcomes and emergency-preparedness of hospitals for future public health emergencies.

Indexed as

COVID-19Hospital MortalityNursing Staff, HospitalAgedAged, 80 and overCross-Sectional StudiesFemaleHumansIllinoisMaleNew YorkPandemicsPersonnel Staffing and SchedulingSARS-CoV-2United StatesCovid-19 pandemicHospitalMortalityNurse staffingNurse work environment

Identifiers

PMID38917747
PMCPMC11374491

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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.