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

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

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 Setting(s) 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, p = 0.018); a 1 SD (15.1 %) increase in the proportion of senior nurse hours per patient day was associated with a 22 % reduction in sickness episodes (IRR=0.78; 95 % CI 0.71–0.86; p < 0.001). For management, the relationship exhibited a non-linear pattern, with both higher and lower levels of managerial presence, compared to the norm, being associated with increased sickness absence. The observed relationships changed over time, especially during later and post-pandemic periods. A 1 SD (11.7 h per patient day) increase in registered nurse staffing was associated with a 19 % reduction in sickness absence in the post-pandemic period (IRR 0.81; 95 % CI 0.69–0.95, p = 0.010). A 1 SD increase in proportion of senior nurse hours per patient day was associated with both reduced (IRR 0.60; 95 % CI 0.48–0.74, p < 0.001 later pandemic) and increased sickness absence (IRR 2.00; 95 % CI 1.31–3.05, p = 0.001 post pandemic). 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.

Covid-19, Critical care nursing, Nursing staff, Sickness absence, Skill mix
2666-142X
Dall'ora, Chiara
4501b172-005c-4fad-86da-2d63978ffdfd
Nwanosike, Ezekwesiri M
cfa7e99a-976a-43c3-8c46-00669d8e5da4
Griffiths, Peter
ac7afec1-7d72-4b83-b016-3a43e245265b
Saville, Christina
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Monks, Thomas
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Pattison, Natalie
e85b7930-af9b-4d63-ab0e-424543a61543
Dahanayake Yapa, Tolusha
945ca1bb-cc0e-4f4b-85b0-cb944bccc3a3
Dall'ora, Chiara
4501b172-005c-4fad-86da-2d63978ffdfd
Nwanosike, Ezekwesiri M
cfa7e99a-976a-43c3-8c46-00669d8e5da4
Griffiths, Peter
ac7afec1-7d72-4b83-b016-3a43e245265b
Saville, Christina
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Monks, Thomas
c675ef05-95c4-451d-a17a-11c5a2192427
Pattison, Natalie
e85b7930-af9b-4d63-ab0e-424543a61543
Dahanayake Yapa, Tolusha
945ca1bb-cc0e-4f4b-85b0-cb944bccc3a3

Dall'ora, Chiara, Nwanosike, Ezekwesiri M, Griffiths, Peter, Saville, Christina, Monks, Thomas, Pattison, Natalie and Dahanayake Yapa, Tolusha (2025) Nurse staffing configurations and sickness absence in English intensive care units: a longitudinal observational study. International Journal of Nursing Studies Advances, 9, [100451]. (doi:10.1016/j.ijnsa.2025.100451).

Record type: Article

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 Setting(s) 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, p = 0.018); a 1 SD (15.1 %) increase in the proportion of senior nurse hours per patient day was associated with a 22 % reduction in sickness episodes (IRR=0.78; 95 % CI 0.71–0.86; p < 0.001). For management, the relationship exhibited a non-linear pattern, with both higher and lower levels of managerial presence, compared to the norm, being associated with increased sickness absence. The observed relationships changed over time, especially during later and post-pandemic periods. A 1 SD (11.7 h per patient day) increase in registered nurse staffing was associated with a 19 % reduction in sickness absence in the post-pandemic period (IRR 0.81; 95 % CI 0.69–0.95, p = 0.010). A 1 SD increase in proportion of senior nurse hours per patient day was associated with both reduced (IRR 0.60; 95 % CI 0.48–0.74, p < 0.001 later pandemic) and increased sickness absence (IRR 2.00; 95 % CI 1.31–3.05, p = 0.001 post pandemic). 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.

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Accepted/In Press date: 10 November 2025
Published date: 15 November 2025
Additional Information: © 2025 The Authors. Published by Elsevier Ltd.
Keywords: Covid-19, Critical care nursing, Nursing staff, Sickness absence, Skill mix

Identifiers

Local EPrints ID: 507461
URI: http://eprints.soton.ac.uk/id/eprint/507461
ISSN: 2666-142X
PURE UUID: 72309dab-4eed-4624-97b9-7315c9f5a987
ORCID for Chiara Dall'ora: ORCID iD orcid.org/0000-0002-6858-3535
ORCID for Ezekwesiri M Nwanosike: ORCID iD orcid.org/0000-0003-1831-6591
ORCID for Peter Griffiths: ORCID iD orcid.org/0000-0003-2439-2857
ORCID for Christina Saville: ORCID iD orcid.org/0000-0001-7718-5689

Catalogue record

Date deposited: 09 Dec 2025 17:55
Last modified: 10 Dec 2025 02:51

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Contributors

Author: Chiara Dall'ora ORCID iD
Author: Ezekwesiri M Nwanosike ORCID iD
Author: Peter Griffiths ORCID iD
Author: Thomas Monks
Author: Natalie Pattison
Author: Tolusha Dahanayake Yapa

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