ICU staffing and patient outcomes in English hospital trusts: A longitudinal observational study examining ICU length of stay, re-admission and infection rates
ICU staffing and patient outcomes in English hospital trusts: A longitudinal observational study examining ICU length of stay, re-admission and infection rates
Aims
This study examines the association between registered nurse (RN) staffing configurations and potentially nurse-sensitive patient outcomes in English Intensive Care Units (ICU) and to assess changes as the COVID-19 pandemic unfolded.
Methods
This was a longitudinal retrospective study analysing routinely collected patient and electronic roster data from 12 ICUs in NHS hospital trusts (January 2019–December 2022). The variables of interest were RN staffing levels and staff mix factors. The outcomes considered were unit-acquired infections, length of stay and readmissions. The relationships were analysed using covariate-adjusted generalised linear mixed models over the entire period and separately for pre-pandemic, pandemic and post-pandemic periods.
Results
Data from 12 ICUs included 52,267 admissions, with RN staffing levels (mean) peaking during the later pandemic period (34.2 h per patient day [HPPD], Standard Deviation (SD) = 12.1) compared to pre-pandemic levels (27.0 HPPD, SD = 8.5). Higher RN HPPD were associated with reduced readmission risk overall, with the strongest protective effect during early pandemic periods. No statistically significant association was found between RN staffing and length of stay overall, though a 5 % reduction occurred during the late pandemic period (p = 0.035). The presence of low levels of nurse managers (band 7 + ) was associated with significantly reduced readmission risk (1.3 %-point decrease, p = 0.011), which arose from an association during the pandemic, but increased length of stay across all periods.
Conclusions
Higher RN staffing levels were consistently associated with reduced ICU readmissions, demonstrating the protective effect of adequate nursing resources. However, the impact of senior nursing staff on other patient outcomes was complex and context-dependent, varying across pandemic periods.
Implications for Clinical Practice
The findings emphasise the importance of evidence-based staffing policies that optimise skill mix and leadership deployment to improve ICU patient outcomes.
COVID-19, Critical care nursing, Unit-acquired Infections, Readmissions, Length of Stay, Nursing staff
Nwanosike, Ezekwesiri M
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Griffiths, Peter
ac7afec1-7d72-4b83-b016-3a43e245265b
Dall'ora, Chiara
4501b172-005c-4fad-86da-2d63978ffdfd
Monks, Thomas
148cf072-b533-4168-9b4d-ffadfb69fb15
Pattison, Natalie
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Dahanayake Yapa, Tolusha
945ca1bb-cc0e-4f4b-85b0-cb944bccc3a3
Saville, Christina
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Nwanosike, Ezekwesiri M
cfa7e99a-976a-43c3-8c46-00669d8e5da4
Griffiths, Peter
ac7afec1-7d72-4b83-b016-3a43e245265b
Dall'ora, Chiara
4501b172-005c-4fad-86da-2d63978ffdfd
Monks, Thomas
148cf072-b533-4168-9b4d-ffadfb69fb15
Pattison, Natalie
1463c114-f9e2-46d7-aa08-190565d6b952
Dahanayake Yapa, Tolusha
945ca1bb-cc0e-4f4b-85b0-cb944bccc3a3
Saville, Christina
2c726abd-1604-458c-bc0b-daeef1b084bd
Nwanosike, Ezekwesiri M, Griffiths, Peter, Dall'ora, Chiara, Monks, Thomas, Pattison, Natalie, Dahanayake Yapa, Tolusha and Saville, Christina
(2025)
ICU staffing and patient outcomes in English hospital trusts: A longitudinal observational study examining ICU length of stay, re-admission and infection rates.
Intensive and Critical Care Nursing, 94 (104314).
(doi:10.1016/j.iccn.2025.104314).
Abstract
Aims
This study examines the association between registered nurse (RN) staffing configurations and potentially nurse-sensitive patient outcomes in English Intensive Care Units (ICU) and to assess changes as the COVID-19 pandemic unfolded.
Methods
This was a longitudinal retrospective study analysing routinely collected patient and electronic roster data from 12 ICUs in NHS hospital trusts (January 2019–December 2022). The variables of interest were RN staffing levels and staff mix factors. The outcomes considered were unit-acquired infections, length of stay and readmissions. The relationships were analysed using covariate-adjusted generalised linear mixed models over the entire period and separately for pre-pandemic, pandemic and post-pandemic periods.
Results
Data from 12 ICUs included 52,267 admissions, with RN staffing levels (mean) peaking during the later pandemic period (34.2 h per patient day [HPPD], Standard Deviation (SD) = 12.1) compared to pre-pandemic levels (27.0 HPPD, SD = 8.5). Higher RN HPPD were associated with reduced readmission risk overall, with the strongest protective effect during early pandemic periods. No statistically significant association was found between RN staffing and length of stay overall, though a 5 % reduction occurred during the late pandemic period (p = 0.035). The presence of low levels of nurse managers (band 7 + ) was associated with significantly reduced readmission risk (1.3 %-point decrease, p = 0.011), which arose from an association during the pandemic, but increased length of stay across all periods.
Conclusions
Higher RN staffing levels were consistently associated with reduced ICU readmissions, demonstrating the protective effect of adequate nursing resources. However, the impact of senior nursing staff on other patient outcomes was complex and context-dependent, varying across pandemic periods.
Implications for Clinical Practice
The findings emphasise the importance of evidence-based staffing policies that optimise skill mix and leadership deployment to improve ICU patient outcomes.
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ICU Staffing and Patient Outcomes_Revision2_Clean
- Accepted Manuscript
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1-s2.0-S0964339725003763-main
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More information
Accepted/In Press date: 9 December 2025
e-pub ahead of print date: 19 December 2025
Keywords:
COVID-19, Critical care nursing, Unit-acquired Infections, Readmissions, Length of Stay, Nursing staff
Identifiers
Local EPrints ID: 508367
URI: http://eprints.soton.ac.uk/id/eprint/508367
ISSN: 0964-3397
PURE UUID: 2691a4a3-7d20-4200-ad42-e754af26c9f4
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Date deposited: 20 Jan 2026 17:41
Last modified: 21 Jan 2026 02:52
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Contributors
Author:
Ezekwesiri M Nwanosike
Author:
Thomas Monks
Author:
Natalie Pattison
Author:
Tolusha Dahanayake Yapa
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