Literature DB >> 34779532

How COVID-19 has affected staffing models in intensive care: A qualitative study examining alternative staffing models (SEISMIC).

Ruth Endacott1, Susie Pearce2,3, Pamela Rae2, Annette Richardson4, Suzanne Bench5,6, Natalie Pattison7,8.   

Abstract

AIMS: To understand how COVID-19 affected nurse staffing in intensive care units (ICUs) in England, and to identify factors that influenced, and were influenced by, pandemic staffing models.
DESIGN: Exploratory qualitative study.
METHODS: Semi-structured, online interviews conducted July-September 2020 with regional critical care leaders including policy leads (n = 4) and directors/lead nurses (n = 10) across critical care networks in England.
FINDINGS: The six themes emerging from the framework analysis illustrate how the pre-pandemic ICU culture influenced ICU staffing models during the pandemic. Changes in staffing impacted on the workforce and the care delivered, whilst it was necessary to learn from, and adjust to, a rapidly changing situation. Variation across and between networks necessitated variation in responses. The overwhelming outcome was that the pandemic has challenged the central tenets of ICU nurse staffing.
CONCLUSIONS: Pandemic nurse staffing models resulted in changes to ICU skill-mix and staffing numbers. Factors such as the impact of nurse staffing on care practices and on the workforce need to be taken into account when developing and testing future nurse staffing models for ICU. The extent to which ICUs will return to former staffing models is not yet known but there seems to be an appetite for change. IMPACT: In common with many countries, nurse staffing in English ICUs was adapted to address surge requirements during the COVID-19 pandemic. Findings highlight the challenge COVID-19 presented to pre-pandemic ICU nurse staffing guidelines, the impact on patient and staff well-being and the potential legacy for future staffing models. Study findings have implications for ICU nurse managers, researchers and policy makers: nurse staffing models need to be adaptable to the local context of care and future research should investigate the impact of different models on patients, staff and health service outcomes.
© 2021 John Wiley & Sons Ltd.

Entities:  

Keywords:  COVID-19; intensive care; nurses; nursing workforce; qualitative

Mesh:

Year:  2021        PMID: 34779532     DOI: 10.1111/jan.15081

Source DB:  PubMed          Journal:  J Adv Nurs        ISSN: 0309-2402            Impact factor:   3.187


  4 in total

1.  Learning Systems as a Path to Improve ICU Staff Wellbeing.

Authors:  Joanne McPeake; Theodore J Iwashyna; Jorge I F Salluh
Journal:  Chest       Date:  2022-07       Impact factor: 10.262

Review 2.  Resilience among health care workers while working during a pandemic: A systematic review and meta synthesis of qualitative studies.

Authors:  Mariah Curtin; Helen L Richards; Donal G Fortune
Journal:  Clin Psychol Rev       Date:  2022-05-24

3.  Reflections on nursing research focusing on the COVID-19 pandemic.

Authors:  Debra Jackson
Journal:  J Adv Nurs       Date:  2022-05-02       Impact factor: 3.057

4.  'Doing the best we can': Registered Nurses' experiences and perceptions of patient safety in intensive care during COVID-19.

Authors:  Louise Caroline Stayt; Clair Merriman; Suzanne Bench; Ann M Price; Sarah Vollam; Helen Walthall; Nicki Credland; Karin Gerber; Vid Calovski
Journal:  J Adv Nurs       Date:  2022-08-20       Impact factor: 3.057

  4 in total

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