4.5 Article

Are high nurse workload/staffing ratios associated with decreased survival in critically ill patients? A cohort study

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ANNALS OF INTENSIVE CARE
卷 7, 期 -, 页码 -

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SPRINGER HEIDELBERG
DOI: 10.1186/s13613-017-0269-2

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Nurses; Personnel staffing; Workload; Critical care

资金

  1. Department of Anaesthesia and Intensive Care, The Chinese University of Hong Kong

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Background: Despite the central role of nurses in intensive care, a relationship between intensive care nurse workload/staffing ratios and survival has not been clearly established. We determined whether there is a threshold workload/staffing ratio above which the probability of hospital survival is reduced and then modeled the relationship between exposure to inadequate staffing at any stage of a patient's ICU stay and risk-adjusted hospital survival. Methods: Retrospective analysis of prospectively collected data from a cohort of adult patients admitted to two multi-disciplinary Intensive Care Units was performed. The nursing workload [measured using the Therapeutic Intervention Scoring System (TISS-76)] for all patients in the ICU during each day to average number of bedside nurses per shift on that day (workload/nurse) ratio, severity of illness (using Acute Physiology and Chronic Health Evaluation III) and hospital survival were analysed using net-benefit regression methodology and logistic regression. Results: A total of 894 separate admissions, representing 845 patients, were analysed. Our analysis shows that there was a 95% probability that survival to hospital discharge was more likely to occur when the maximum workloadto- nurse ratio was < 40 and a more than 95% chance that death was more likely to occur when the ratio was > 52. Patients exposed to a high workload/nurse ratio (>= 52) for >= 1 day during their ICU stay had lower risk-adjusted odds of survival to hospital discharge compared to patients never exposed to a high ratio (odds ratio 0.35, 95% CI 0.16-0.79). Conclusions: Exposing critically ill patients to high workload/staffing ratios is associated with a substantial reduction in the odds of survival.

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