Evidence map›Paper›PMID 39100383›Full record

ArticleCritical care explorations2024

Interprofessional Staffing Pattern Clusters in U.S. ICUs.

Hayley B Gershengorn, Deena Kelly Costa, Allan Garland, Danny Lizano, Hannah Wunsch

Abstract read
In one paragraph

Article in Critical care explorations, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Hayley B GershengornDivision of Pulmonary, Critical Care, and Sleep Medicine, University of Miami Miller School of Medicine, Miami, FL.ORCID https://orcid.org/0000-0002-7360-2489
Deena Kelly CostaYale School of Nursing, West Haven, CT.
Allan GarlandDepartment of Medicine, University of Manitoba, Winnipeg, MB, Canada.
Danny LizanoPhysician Assistant Program, Fort Lauderdale Dr. Pallavi Patel College of Healthcare Sciences Health Professions Division, Nova Southeastern University, Fort Lauderdale, FL.
Hannah WunschDepartment of Anesthesiology, Weill Cornell Medical College, New York, NY.

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Optimizing Intensive Care Unit Staffing in the United StatesR01HL156880 · NHLBI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI GERSHENGORN, HAYLEY BETH · 2021 to 2025
$1.7M
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL156880
6 · The paper itself

Abstract

objectivesTo identify interprofessional staffing pattern clusters used in U.S. ICUs.

designLatent class analysis. SETTING AND

participantsAdult U.S. ICUs. PATIENTS: None.

interventionsNone. ANALYSIS: We used data from a staffing survey that queried respondents ( MEASUREMENTS AND MAIN

resultsWe identified three clusters as optimal. Most ICUs (54.2%) were in cluster 1 ("higher overall staffing") characterized by a higher likelihood of good provider coverage (both intensivist [onsite 24 hr/d] and nonintensivist [orders placed by ICU team exclusively, presence of advanced practice providers, and physicians-in-training]), nursing leadership (presence of charge nurse, nurse educators, and managers), and bedside nursing support (nurses with registered nursing degrees, fewer patients per nurse, and nursing aide availability). One-third (33.7%) were in cluster 2 ("lower intensivist coverage & nursing leadership, higher bedside nursing support") and 12.1% were in cluster 3 ("higher provider coverage & nursing leadership, lower bedside nursing support"). Clinical pharmacists were more common in cluster 1 (99.4%), but present in greater than 85% of all ICUs; respiratory therapists were nearly universal. Cluster 1 ICUs were larger (median 20 beds vs. 15 and 17 in clusters 2 and 3, respectively;

conclusionsMore than half of U.S. ICUs had higher staffing overall. Others tended to have either higher provider presence and nursing leadership or higher bedside nursing support, but not both.

Indexed as

Intensive Care UnitsPersonnel Staffing and SchedulingHumansInterprofessional RelationsLatent Class AnalysisPatient Care TeamSurveys and QuestionnairesUnited StatesWorkforceintensive care unitsnurse practitionersnursespharmacistsphysician assistantsphysicians

Identifiers

PMID39100383
PMCPMC11296427

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.