Literature DB >> 30042038

Nursing workloads and activity in critical care: A review of the evidence.

Jane Greaves1, Deborah Goodall2, Andrea Berry3, Suman Shrestha4, Annette Richardson5, Pauline Pearson6.   

Abstract

OBJECTIVES: To review current methods for informing nurse workforce decisions in critical care. Many clinical outcomes are worse if staffing is inadequate. Workforce planning is usually according to guidelines developed from the opinions of expert groups. Objective systems for planning and distributing staff have been developed but their value is unclear.
DESIGN: A rapid review methodology was employed. REVIEW
METHODS: The search included research studies, guidelines and surveys within and outside United Kingdom since 1995.
FINDINGS: Thirty-two studies met eligibility criteria. Studies originated worldwide, with considerable work undertaken in the United Kingdom and Brazil. Two were large multicentre studies. Tools examined fell into three groups: those focused on the condition and needs of the patient, those focused on the number and time for nursing activities and those that also took account of psycho-social factors. Many tools were not used beyond their country of origin.
CONCLUSION: There is limited experience of using tools to determine nurse staffing. No one tool is likely to suit every application. More information is needed to clarify the practicalities of using the tools.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Critical care; Safety; Systematic review; Workload

Mesh:

Year:  2018        PMID: 30042038     DOI: 10.1016/j.iccn.2018.06.002

Source DB:  PubMed          Journal:  Intensive Crit Care Nurs        ISSN: 0964-3397            Impact factor:   3.072


  2 in total

1.  Response from Authors.

Authors:  Valerio Rendiniello; Manuela Mainetti; Luca Carenzo; Daniela Elli; Elena Costantini; Alessandro Protti; Federica Sartori; Maurizio Cecconi
Journal:  Intensive Crit Care Nurs       Date:  2021-05-07       Impact factor: 3.072

2.  Clinical and functional patient characteristics predict medical needs in older patients at risk of functional decline.

Authors:  Anne-Carina Scharf; Janine Gronewold; Christian Dahlmann; Jeanina Schlitzer; Andreas Kribben; Guido Gerken; Helmut Frohnhofen; Richard Dodel; Dirk M Hermann
Journal:  BMC Geriatr       Date:  2020-02-21       Impact factor: 3.921

  2 in total

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