Evidence map›Paper›PMID 32817399›Full record

Observational studyBMJ quality & safety2021

Chronic hospital nurse understaffing meets COVID-19: an observational study.

Karen B Lasater, Linda H Aiken, Douglas M Sloane, Rachel French, Brendan Martin, Kyrani Reneau, Maryann Alexander, Matthew D McHugh

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in BMJ quality & safety, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 4 pooled it
49.9field-weighted citation impact, top 1% of its field
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

145 citing papers in PubMed, 4 syntheses or guidelines pooled it, 302 citations in OpenAlex.

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85 more citing papers are in PubMed but not listed here.

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

8 authors at 1 institution in 1 country.

Karen B LasaterCenter for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA karenbl@nursing.upenn.edu.ORCID 0000-0002-5834-1954
Linda H AikenCenter for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Douglas M SloaneCenter for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Rachel FrenchCenter for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Brendan MartinNational Council of State Boards of Nursing, Chicago, Illinois, USA.
Kyrani ReneauNational Council of State Boards of Nursing, Chicago, Illinois, USA.
Maryann AlexanderNational Council of State Boards of Nursing, Chicago, Illinois, USA.
Matthew D McHughCenter for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania, Philadelphia, Pennsylvania, USA.
University of Pennsylvania · US

Funding

ADVANCED TRAINING IN NURSING OUTCOMES RESEARCHT32NR007104 · NINR · UNIVERSITY OF PENNSYLVANIA · PI JACQUELINE MARGO BROOKS CARTHON, EILEEN T LAKE · 1999 to 2026
$11.6M
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
NINR NIH HHS R01 NR014855NINR NIH HHS T32 NR007104
6 · The paper itself

Abstract

introductionEfforts to enact nurse staffing legislation often lack timely, local evidence about how specific policies could directly impact the public's health. Despite numerous studies indicating better staffing is associated with more favourable patient outcomes, only one US state (California) sets patient-to-nurse staffing standards. To inform staffing legislation actively under consideration in two other US states (New York, Illinois), we sought to determine whether staffing varies across hospitals and the consequences for patient outcomes. Coincidentally, data collection occurred just prior to the COVID-19 outbreak; thus, these data also provide a real-time example of the public health implications of chronic hospital nurse understaffing.

methodsSurvey data from nurses and patients in 254 hospitals in New York and Illinois between December 2019 and February 2020 document associations of nurse staffing with care quality, patient experiences and nurse burnout.

resultsMean staffing in medical-surgical units varied from 3.3 to 9.7 patients per nurse, with the worst mean staffing in New York City. Over half the nurses in both states experienced high burnout. Half gave their hospitals unfavourable safety grades and two-thirds would not definitely recommend their hospitals. One-third of patients rated their hospitals less than excellent and would not definitely recommend it to others. After adjusting for confounding factors, each additional patient per nurse increased odds of nurses and per cent of patients giving unfavourable reports; ORs ranged from 1.15 to 1.52 for nurses on medical-surgical units and from 1.32 to 3.63 for nurses on intensive care units.

conclusionsHospital nurses were burned out and working in understaffed conditions in the weeks prior to the first wave of COVID-19 cases, posing risks to the public's health. Such risks could be addressed by safe nurse staffing policies currently under consideration.

Indexed as

Burnout, ProfessionalCOVID-19HospitalsHumansIllinoisNew YorkNursesNursing Staff, HospitalPersonnel Staffing and SchedulingQuality of Health CareSARS-CoV-2Surveys and Questionnaireshealth policyhealth services researchnursespatient safety

Identifiers

PMID32817399
PMCPMC7443196
OpenAlexW3075247568

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.