Interprofessional Staffing Pattern Clusters in U.S. ICUs.


Journal

Critical care explorations
ISSN: 2639-8028
Titre abrégé: Crit Care Explor
Pays: United States
ID NLM: 101746347

Informations de publication

Date de publication:
Aug 2024
Historique:
medline: 5 8 2024
pubmed: 5 8 2024
entrez: 5 8 2024
Statut: epublish

Résumé

To identify interprofessional staffing pattern clusters used in U.S. ICUs. Latent class analysis. Adult U.S. ICUs. None. None. We used data from a staffing survey that queried respondents ( We 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; More 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.

Identifiants

pubmed: 39100383
doi: 10.1097/CCE.0000000000001138
pii: CCE-D-24-00270
pmc: PMC11296427
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e1138

Informations de copyright

Copyright © 2024 The Authors. Published by Wolters Kluwer Health, Inc. on behalf of the Society of Critical Care Medicine.

Déclaration de conflit d'intérêts

Dr. Gershengorn received funding from the National Institutes of Health (NIH)/National Heart, Lung, and Blood Institute (NHLBI; R01-HL156880-01) and the University of Miami Hospital and Clinics Data Analytics Research Team. Dr. Garland received funding from the Canadian Institute for Health Research, Manitoba Medical Services Foundation, Children’s Hospital Research Institute of Manitoba, and NIH/NHLBI (R01-HL156880-01). Dr. Costa received funding from the NIH/NHLBI (R01-HL156880-01). Dr. Wunsch received funding from the Canada Research Chair (tier 2) in Critical Care Organization and Outcomes and the NIH/NHLBI (R01-HL156880-01). Mr. Lizano has disclosed that he does not have any potential conflicts of interest.

Auteurs

Hayley B Gershengorn (HB)

Division of Pulmonary, Critical Care, and Sleep Medicine, University of Miami Miller School of Medicine, Miami, FL.
Division of Critical Care Medicine, Albert Einstein College of Medicine, Bronx, NY.

Deena Kelly Costa (DK)

Yale School of Nursing, West Haven, CT.
Section of Pulmonary, Critical Care, and Sleep Medicine, Yale School of Medicine, New Haven, CT.

Allan Garland (A)

Department of Medicine, University of Manitoba, Winnipeg, MB, Canada.

Danny Lizano (D)

Physician Assistant Program, Fort Lauderdale Dr. Pallavi Patel College of Healthcare Sciences Health Professions Division, Nova Southeastern University, Fort Lauderdale, FL.
HCA Florida Kendall Hospital, Miami, FL.

Hannah Wunsch (H)

Department of Anesthesiology, Weill Cornell Medical College, New York, NY.
Sunnybrook Research Institute, Toronto, ON, Canada.
Department of Anesthesiology and Pain Medicine, University of Toronto, Toronto, ON, Canada.

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