Evidence map›Paper›PMID 41322984›Full record

ArticleInternational journal of nursing studies advances2025

Nurse staffing configurations and sickness absence in English intensive care units: A longitudinal observational study.

Ezekwesiri Nwanosike, Chiara Dall'Ora, Peter Griffiths, Christina Saville, Thomas Monks, Natalie Pattison, Tolusha Dahanayake Yapa, SEISMIC-R study group

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Article in International journal of nursing studies advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Ezekwesiri NwanosikeUniversity of Southampton, Faculty of Environmental and Life Sciences, Southampton, UK.
Chiara Dall'OraUniversity of Southampton, Faculty of Environmental and Life Sciences, Southampton, UK.
Peter GriffithsUniversity of Southampton, Faculty of Environmental and Life Sciences, Southampton, UK.
Christina SavilleUniversity of Southampton, Faculty of Environmental and Life Sciences, Southampton, UK.
Thomas MonksUniversity of Exeter, Medical School, Southampton, UK.
Natalie PattisonUniversity of Hertfordshire, School of Health and Social Work, Hatfield, UK.
Tolusha Dahanayake YapaUniversity of Southampton, Faculty of Environmental and Life Sciences, Southampton, UK.
SEISMIC-R study group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Staff wellbeing in intensive care units is essential for quality patient care, and nurse staffing configurations can impact nurse sickness absence. The COVID-19 pandemic imposed additional strain on nurses, potentially affecting sickness absence rates. Objective: To examine the association between registered nurse staffing levels, skill mix, and staff sickness absence in intensive care units spanning prepandemic (01/19-02/20), early pandemic (03/20-02/21), later pandemic (03/21-02/22), and post-pandemic (03/22-12/22). Design: Longitudinal retrospective study. Settings: Three National Health Service hospital trusts in England. Participants: Five intensive care units with 6916 sickness episodes from staffing data. Methods: We linked staffing data from electronic rostering systems. Variables included registered nurse hours per patient day, proportion of senior staff nurses with largely hands-on clinical experience, management presence, and sickness absence rates. Generalised linear mixed models analysed associations between staffing configurations in the previous 28 days and sickness absence. Results: The mean sickness absences rate was 2.4 %. When analysing all time periods collectively, an increase in registered nurse staffing by 1 standard deviation (SD) (11.0 h per patient day) was associated with a 5 % reduction in sickness episodes (incidence rate ratio [IRR]=0.95; 95 % confidence interval [CI] 0.90-0.99, Conclusions: Sickness absence in intensive care units decreased with higher registered nurse staffing levels, although this relationship was most apparent post-pandemic. The presence of more senior registered nurses was generally associated with reduced sickness absence, although this relationship proved complex and varied across time periods. Pandemic conditions appear to have altered typical staffing-sickness patterns, with staff sickness being less influenced by workload during the acute pandemic phase. Social media abstract: Study of English intensive care units finds more senior nurses & higher staffing levels linked to reduced sickness absence-key for patient care quality!

Indexed as

Covid-19Critical care nursingNursing staffSickness absenceSkill mix

Identifiers

PMID41322984
PMCPMC12664349

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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.