Association between nursing workload and mortality of intensive care unit patients
- PMID: 19094155
- DOI: 10.1111/j.1547-5069.2008.00254.x
Association between nursing workload and mortality of intensive care unit patients
Abstract
Purpose: To investigate differences in mortality of intensive care unit (ICU) patients according to the ratio between total patient care demands and nurse staffing.
Design: Observational, prospective study. Patients consecutively admitted in the medical-surgical ICU of a Greek hospital over a 1-year period were enrolled.
Methods: The Therapeutic Intervention Scoring System (TISS)-28 was used for measuring patient care demands. Daily sum of TISS-28 of patients and daily number of nurses were considered for estimating median and peak patient exposure to nursing workload. According to the values of median and peak patient exposure to nursing workload, patients were divided into three groups (low, medium, and high). Logistic regression was used for evaluating the associations between mortality during ICU length of stay and median or peak patient exposure to nursing workload, after adjusting for patient clinical severity.
Findings: 396 patients were included and 102 died. Differences in ICU mortality between high and low groups of median and peak patient exposure to nursing workload, although not statistically significant, were clinically remarkable, both when all patients were studied and when medical and surgical patients were separately studied.
Conclusions: Consideration of individual differences in patient acuity might add sensitivity to the detection of associations between nurse understaffing and ICU mortality.
Clinical relevance: The findings indicate that not only differences among nurse characteristics, but also differences in patient care demands, are important when investigating the effect of nurse understaffing on mortality of ICU patients. Proper nurse staffing levels should be based on the estimation of total patient acuity, rather than on the absolute number of patients.
Similar articles
-
Nursing workload in intensive care units: a study using the Therapeutic Intervention Scoring System-28 (TISS-28).Intensive Crit Care Nurs. 2007 Jun;23(3):162-9. doi: 10.1016/j.iccn.2006.07.004. Epub 2007 Feb 27. Intensive Crit Care Nurs. 2007. PMID: 17329107
-
Nursing Activities Score in the intensive care unit: analysis of the related factors.Intensive Crit Care Nurs. 2008 Jun;24(3):197-204. doi: 10.1016/j.iccn.2007.09.004. Epub 2007 Oct 31. Intensive Crit Care Nurs. 2008. PMID: 17976989
-
Patient severity as an indicator of nursing workload in the intensive care unit.Nurs Crit Care. 2007 Jan-Feb;12(1):34-41. doi: 10.1111/j.1478-5153.2006.00193.x. Nurs Crit Care. 2007. PMID: 17883662
-
Nurse staffing levels and hospital mortality in critical care settings: literature review and meta-analysis.J Adv Nurs. 2006 Aug;55(4):435-48. doi: 10.1111/j.1365-2648.2006.03941.x. J Adv Nurs. 2006. PMID: 16866839 Review.
-
Nurse staffing levels in critical care: The impact of patient characteristics.Nurs Crit Care. 2023 Mar;28(2):281-287. doi: 10.1111/nicc.12826. Epub 2022 Jul 27. Nurs Crit Care. 2023. PMID: 35896444 Review.
Cited by
-
Identifying communication barriers between nurses and patients from the perspective of Iranian nurses: a Q-methodology-based study.BMC Nurs. 2024 Jul 5;23(1):458. doi: 10.1186/s12912-024-02136-z. BMC Nurs. 2024. PMID: 38970098 Free PMC article.
-
Factors Influencing Morbidity and Mortality Rates in Tertiary Intensive Care Units in Turkey: A Retrospective Cross-Sectional Study.Healthcare (Basel). 2024 Mar 19;12(6):689. doi: 10.3390/healthcare12060689. Healthcare (Basel). 2024. PMID: 38540653 Free PMC article.
-
Factors influencing the mental health status of support nurses and their workload during the COVID-19 epidemic.Int J Occup Med Environ Health. 2023 Dec 15;36(6):761-772. doi: 10.13075/ijomeh.1896.02155. Epub 2023 Nov 30. Int J Occup Med Environ Health. 2023. PMID: 38037754 Free PMC article.
-
Nursing Workload in Patients With Myocardial Ischemia After Non-cardiac Surgery.Cureus. 2022 Oct 26;14(10):e30737. doi: 10.7759/cureus.30737. eCollection 2022 Oct. Cureus. 2022. PMID: 36457624 Free PMC article.
-
Investigating the cognitive capacity constraints of an ICU care team using a systems engineering approach.BMC Anesthesiol. 2022 Jan 4;22(1):10. doi: 10.1186/s12871-021-01548-7. BMC Anesthesiol. 2022. PMID: 34983402 Free PMC article.
MeSH terms
LinkOut - more resources
Full Text Sources
