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Nonlinear Association Of Nurse Staffing And Readmissions Uncovered In Machine Learning Analysis, Olga Yakusheva, James Bang, Ronda G. Hughes, Kathleen L. Bobay, Linda L. Costa, Marianne Weiss
Nonlinear Association Of Nurse Staffing And Readmissions Uncovered In Machine Learning Analysis, Olga Yakusheva, James Bang, Ronda G. Hughes, Kathleen L. Bobay, Linda L. Costa, Marianne Weiss
College of Nursing Faculty Research and Publications
Objective: Several studies of nurse staffing and patient outcomes found a curvilinear or U-shaped relationship, with benefits from additional nurse staffing diminishing or reversing at high staffing levels. This study examined potential diminishing returns to nurse staffing and the existence of a "tipping point" or the level of staffing after which higher nurse staffing no longer improves and may worsen readmissions.
Data Sources/Study Setting: The Readiness Evaluation And Discharge Interventions (READI) study database of over 130,000 adult (18+) inpatient discharges from 62 medical, surgical, and medical-surgical (noncritical care) units from 31 United States (US) hospitals during October 2014-March 2017.
Study …