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Intensive care unit caseload and workload and their association with outcomes in critically unwell patients: a large registry-based cohort analysis.

Zajic, P; Engelbrecht, T; Graf, A; Metnitz, B; Moreno, R; Posch, M; Rhodes, A; Metnitz, P (2024) Intensive care unit caseload and workload and their association with outcomes in critically unwell patients: a large registry-based cohort analysis. Crit Care, 28 (1). p. 304. ISSN 1466-609X https://doi.org/10.1186/s13054-024-05090-z
SGUL Authors: Rhodes, Andrew

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Abstract

BACKGROUND: Too high or too low patient volumes and work amounts may overwhelm health care professionals and obstruct processes or lead to inadequate personnel routine and process flow. We sought to evaluate, whether an association between current caseload, current workload, and outcomes exists in intensive care units (ICU). METHODS: Retrospective cohort analysis of data from an Austrian ICU registry. Data on patients aged ≥ 18 years admitted to 144 Austrian ICUs between 2013 and 2022 were included. A Cox proportional hazards model with ICU mortality as the outcome of interest adjusted with patients' respective SAPS 3, current ICU caseload (measured by ICU occupancy rates), and current ICU workload (measured by median TISS-28 per ICU) as time-dependent covariables was constructed. Subgroup analyses were performed for types of ICUs, hospital care level, and pre-COVID or intra-COVID period. RESULTS: 415 584 patient admissions to 144 ICUs were analysed. Compared to ICU caseloads of 76 to 100%, there was no significant relationship between overuse of ICU capacity and risk of death [HR (95% CI) 1.06 (0.99-1.15), p = 0.110 for > 100%], but for lower utilisation [1.09 (1.02-1.16), p = 0.008 for ≤ 50% and 1.10 (1.05-1.15), p < 0.0001 for 51-75%]. Exceptions were significant associations for caseloads > 100% between 2020 and 2022 [1.18 (1.06-1.30), p = 0.001], i.e., the intra-COVID period. Compared to the reference category of median TISS-28 21-30, lower [0.88 (0.78-0.99), p = 0.049 for ≤ 20], but not higher workloads were significantly associated with risk of death. High workload may be associated with higher mortality in local hospitals [1.09 (1.01-1.19), p = 0.035 for 31-40, 1.28 (1.02-1.60), p = 0.033 for > 40]. CONCLUSIONS: In a system with comparably high intensive care resources and mandatory staffing levels, patients' survival chances are generally not affected by high intensive care unit caseload and workload. However, extraordinary circumstances, such as the COVID-19 pandemic, may lead to higher risk of death, if planned capacities are exceeded. High workload in ICUs in smaller hospitals with lower staffing levels may be associated with increased risk of death.

Item Type: Article
Additional Information: © The Author(s) 2024. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Keywords: Critical care, Facilities and services utilization, Inpatients, Mortality, Workload, Humans, Workload, Intensive Care Units, Male, Female, Registries, Retrospective Studies, Middle Aged, Aged, Austria, Critical Illness, COVID-19, Cohort Studies, Hospital Mortality, Adult, Humans, Critical Illness, Registries, Hospital Mortality, Retrospective Studies, Cohort Studies, Adult, Aged, Middle Aged, Intensive Care Units, Workload, Austria, Female, Male, COVID-19, Critical care, Inpatients, Workload, Facilities and services utilization, Mortality, 11 Medical and Health Sciences, Emergency & Critical Care Medicine
Journal or Publication Title: Crit Care
ISSN: 1466-609X
Language: eng
Dates:
DateEvent
14 September 2024Published
8 September 2024Accepted
Publisher License: Creative Commons: Attribution 4.0
PubMed ID: 39277756
Web of Science ID: WOS:001312372800001
Go to PubMed abstract
URI: https://openaccess.sgul.ac.uk/id/eprint/116843
Publisher's version: https://doi.org/10.1186/s13054-024-05090-z

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