Patient Mortality Is Associated With Staff Resources and Workload in the ICU: A Multicenter Observational Study.
prospective_cohort · Level II
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- Record sourced from PubMed, PMID 25867907.
- Also identified by DOI 10.1097/CCM.0000000000001015.
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Abstract
Matching healthcare staff resources to patient needs in the ICU is a key factor for quality of care. We aimed to assess the impact of the staffing-to-patient ratio and workload on ICU mortality. We performed a multicenter longitudinal study using routinely collected hospital data. Information pertaining to every patient in eight ICUs from four university hospitals from January to December 2013 was analyzed. A total of 5,718 inpatient stays were included. None. We used a shift-by-shift varying measure of the patient-to-caregiver ratio in combination with workload to establish their relationships with ICU mortality over time, excluding patients with decision to forego life-sustaining therapy. Using a multilevel Poisson regression, we quantified ICU mortality-relative risk, adjusted for patient turnover, severity, and staffing levels. The risk of death was increased by 3.5 (95% CI, 1.3-9.1) when the patient-to-nurse ratio was greater than 2.5, and it was increased by 2.0 (95% CI, 1.3-3.2) when the patient-to-physician ratio exceeded 14. The highest ratios occurred more frequently during the weekend for nurse staffing and during the night for physicians (p < 0.001). High patient turnover (adjusted relative risk, 5.6 [2.0-15.0]) and the volume of life-sustaining procedures performed by staff (adjusted relative risk, 5.9 [4.3-7.9]) were also associated with increased mortality. This study proposes evidence-based thresholds for patient-to-caregiver ratios, above which patient safety may be endangered in the ICU. Real-time monitoring of staffing levels and workload is feasible for adjusting caregivers' resources to patients' needs.
Medical subject headings
- Hospital Mortality
- Intensive Care Units
- Medical Staff, Hospital
- Nursing Staff, Hospital
- Personnel Staffing and Scheduling
- Workload