(2020) Overcrowding management and patient safety: An application of the stabilization model. Iranian Journal of Nursing and Midwifery Research. pp. 382-386. ISSN 1735-9066
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Abstract
Background: Emergency 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 Methods: This 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. Results: The 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. Conclusions: Overcrowding 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.
Item Type: | Article |
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Keywords: | Emergencies hospitals Iran patient safety emergency-department simulation services resident culture impact Nursing |
Page Range: | pp. 382-386 |
Journal or Publication Title: | Iranian Journal of Nursing and Midwifery Research |
Journal Index: | ISI |
Volume: | 25 |
Number: | 5 |
Identification Number: | https://doi.org/10.4103/ijnmr.IJNMR₂₅₄₁₉ |
ISSN: | 1735-9066 |
Depositing User: | مهندس مهدی شریفی |
URI: | http://eprints.bmsu.ac.ir/id/eprint/8626 |
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