Outcomes sensitive to critical care nurse staffing levels: A systematic review.

Critical care Cross infection Health care Health workforce Mortality Outcome assessment Registered nurse

Journal

Intensive & critical care nursing
ISSN: 1532-4036
Titre abrégé: Intensive Crit Care Nurs
Pays: Netherlands
ID NLM: 9211274

Informations de publication

Date de publication:
Dec 2021
Historique:
received: 25 01 2021
revised: 29 04 2021
accepted: 04 06 2021
pubmed: 13 7 2021
medline: 21 10 2021
entrez: 12 7 2021
Statut: ppublish

Résumé

To determine associations between variations in registered nurse staffing levels in adult critical care units and outcomes such as patient, nurse, organisational and family outcomes. We published and adhered to a protocol, stored in an open access repository and searched for quantitative studies written in the English language and held in CINAHL Plus, MEDLINE, PsycINFO, SCOPUS and NDLTD databases up to July 2020. Three authors independently extracted data and critically appraised papers meeting the inclusion criteria. Results are summarised in tables and discussed in terms of strength of internal validity. A detailed review of the two most commonly measured outcomes, patient mortality and nosocomial infection, is also presented. Our search returned 7960 titles after duplicates were removed; 55 studies met the inclusion criteria. Studies with strong internal validity report significant associations between lower levels of critical care nurse staffing and increased odds of both patient mortality (1.24-3.50 times greater) and nosocomial infection (3.28-3.60 times greater), increased hospital costs, lower nurse-perceived quality of care and lower family satisfaction. Meta-analysis was not feasible because of the wide variation in how both staffing and outcomes were measured. A large number of studies including several with high internal validity provide evidence that higher levels of critical care nurse staffing are beneficial to patients, staff and health services. However, inconsistent approaches to measurement and aggregation of staffing levels reported makes it hard to translate findings into recommendation for safe staffing in critical care.

Identifiants

pubmed: 34247936
pii: S0964-3397(21)00099-9
doi: 10.1016/j.iccn.2021.103110
pii:
doi:

Types de publication

Journal Article Review Systematic Review

Langues

eng

Pagination

103110

Informations de copyright

Copyright © 2021 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest This paper presents independent research funded by the National Institute for Health Research (Programme Development Grants, Safe staffing in ICU: development and testing of a staffing model, NIHR200100). The views expressed in this publication are those of the author(s) and not necessarily those of the National Institute for Health Research or the Department of Health and Social Care, neither of whom have had involvement in any aspect of the design, data collection, synthesis, interpretation or writing of, this review.

Auteurs

Pamela J L Rae (PJL)

School of Nursing & Midwifery, University of Plymouth, Plymouth PL4 8AA, UK. Electronic address: https://twitter.com/@DrPamelaJLRae.

Susie Pearce (S)

School of Nursing & Midwifery, University of Plymouth, Plymouth PL4 8AA, UK. Electronic address: https://twitter.com/@susiempearce.

P Jane Greaves (PJ)

School of Health and Life Sciences, University of Northumbria, Newcastle Upon Tyne, UK. Electronic address: https://twitter.com/@JaneGreaves4.

Chiara Dall'Ora (C)

School of Health Sciences, University of Southampton, UK. Electronic address: https://twitter.com/@ora_dall.

Peter Griffiths (P)

School of Health Sciences, University of Southampton, UK. Electronic address: https://twitter.com/@workforcesoton.

Ruth Endacott (R)

School of Nursing & Midwifery, University of Plymouth, Plymouth PL4 8AA, UK; Royal Devon and Exeter Hospital, University of Plymouth Clinical School, Royal Devon and Exeter Hospital, Barrack Road Exeter EX2 5DW, UK; School of Nursing & Midwifery, Monash University, Melbourne, Vic 3199, Australia. Electronic address: https://twitter.com/@rdepu.

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