• Iran J Nurs Midwifery Res · Sep 2020

    Overcrowding Management and Patient Safety: An Application of the Stabilization Model.

    • Hosein Babatabar-Darzi, Iman Jafari-Iraqi, Hosein Mahmoudi, and Abbas Ebadi.
    • Trauma Research Center, Faculty of Nursing, Baqiyatallah University of Medical Sciences, Tehran, IR Iran.
    • Iran J Nurs Midwifery Res. 2020 Sep 1; 25 (5): 382-386.

    BackgroundEmergency department is among the most crowded hospital units. The function of this department considerably affects the functions of other hospital units as well as patient satisfaction. The Stabilization Model is a strategy with potential effectiveness in managing overcrowding in emergency department. This study aimed to determine the effects of overcrowding management based on the stabilization model on patient safety in emergency department.Materials And MethodsThis pretest-posttest quasi-experimental was conducted in 2015 in the emergency department of a teaching hospital located in Tehran, Iran. Primarily, the perceived safety of 35 patients was assessed using the Patient Safety Assessment Questionnaire. Then, an overcrowding management intervention was implemented based on the stabilization model. Finally, the perceived safety of 35 newly recruited patients was assessed after the intervention. The SPSS software (v. 16.0) was employed for data analysis through the Chi-square, the Kolmogorov-Smirnov, and the independent-sample t tests.ResultsThe mean (SD) score of patient safety was 27.45 (8.43) in the control group and 34.45 (4.04) in the intervention group and the between-group difference was statistically significant (t34 = 50.37, p < 0.001). The rate of patient safety increased from 65% at baseline to 82% after the intervention.ConclusionsOvercrowding management based on the stabilization model can significantly enhance patients' perceived safety. Therefore, this strategy can be used to ease emergency department overcrowding and enhance patient safety and care quality.Copyright: © 2020 Iranian Journal of Nursing and Midwifery Research.

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