Evidence map›Paper›PMID 42832733›Full record

ArticleMedical care2026

Nurse Staffing and Emergency Department Crowding: A 10-State Study.

K Jane Muir, Linda H Aiken, Karen B Lasater, Matthew D McHugh, Daniela Golinelli

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.

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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

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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

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5 · Who and what money

Authors and funding

5 authors.

K Jane MuirCenter for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania, Philadelphia, PA.ORCID 0000-0003-0815-1340
Linda H AikenCenter for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania, Philadelphia, PA.
Karen B LasaterCenter for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania, Philadelphia, PA.
Matthew D McHughCenter for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania, Philadelphia, PA.
Daniela GolinelliCenter for Health Outcomes and Policy Research, School of Nursing, University of Pennsylvania, Philadelphia, PA.

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
Identifying Nursing Models of Care to Improve Emergency Department Patient OutcomesK01NR021419 · NINR · UNIVERSITY OF PENNSYLVANIA · PI Kathryn Jane Muir · 2025 to 2026
$337k
NINR NIH HHS K01 NR021419NINR NIH HHS R01 NR014855
6 · The paper itself

Abstract

backgroundThe purpose of this study was to determine the relationship between nurse staffing inadequacy in the emergency department (ED) and inpatient units on objective ED crowding measures.

methodsThree datasets from 2024 were linked: the Penn Nurses4All survey, CMS Hospital Compare, and the AHA Annual Hospital Survey. Nurses4All provided measures of nurse staffing inadequacy. The proportion of nurses reporting staffing inadequacy was the main exposure variable. Crowding measures included the percentage of patients who left the ED without being seen and patient length of stay (in minutes) for patients with and without psychiatric/mental health presentations. The analysis included hospital-level regression models adjusted for hospital characteristics.

resultsThe sample included 410 hospitals in 10 states. A 1 SD increase in ED nurses reporting staffing inadequacy was associated with higher hospital left without being seen rates (β=0.4, 95% CI: 0.2-0.6, P<0.001), longer lengths of stay for ED patients (β=8.5, 95% CI: 3.5-13.6, P<0.001), and patients with psychiatric/mental health concerns in the ED (β=18.4, 95% CI: 3.6-33.1, P<0.05). A 1 SD increase in inpatient nurses reporting staffing inadequacy was associated with longer ED lengths of stay for patients with psychiatric/mental health concerns (β=18.0, 95% CI: 5.8-30.3, P<0.01).

conclusionStaffing a sufficient number of nurses in both the ED and inpatient units is a promising strategy to alleviate ED crowding.

Indexed as

crowdingemergency departmentlength of staystaffing

Identifiers

PMID42832733
PMCPMC13641136

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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.