Quantitative Literature Review On Patient Mortality

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Aiken, Cimiotti, Sloane, Smith, Flynn, & Neff (2012) conducted a cross-sectional quantitative research study to determine the impact of nurse staffing, nurse education, and work environments on patient mortality. The study consisted of 665 hospitals from four major states and a sample that consisted of 39,038 RNs. The sampling selection was random samples of RNs who identified as working in one of the hospitals involved in the study. Independent variables in this study were identified as nurse staffing, nurse education, and work environments. These three variables were measured utilizing surveys. Nurse staffing was measured by calculating data from the nurse survey by dividing the average number of patients reported by the RNs on the unit by the average number of nurses on the unit. The dependent variable is identified as patient outcomes. Logistic regression models were used as data analysis to measure the effects of nurse staffing on patient mortality and failure-to-rescue. Aiken et al. (2012) findings indicate higher patient-to-nurse ratios increase patient deaths and failure-to-rescue. Aiken et al. (2012) suggest nurse staffing is contingent upon the quality of the nurses’ work environment and reinforcing a healthy work environment and the recruitment of more BSN prepared nurses will decrease the odds of patient mortality.
One study claims that risk adjustment is essential for identifying the association between nurse staffing and patient mortality. He, Almenoff,

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