Overcrowding management and patient safety: An application of the stabilization model

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 emerge...

Full description

Saved in:
Bibliographic Details
Main Authors: Hosein Babatabar-Darzi (Author), Iman Jafari-Iraqi (Author), Hosein Mahmoudi (Author), Abbas Ebadi (Author)
Format: Book
Published: Wolters Kluwer Medknow Publications, 2020-01-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

MARC

LEADER 00000 am a22000003u 4500
001 doaj_2f3179deff0a453dae6e62c40a2b9dea
042 |a dc 
100 1 0 |a Hosein Babatabar-Darzi  |e author 
700 1 0 |a Iman Jafari-Iraqi  |e author 
700 1 0 |a Hosein Mahmoudi  |e author 
700 1 0 |a Abbas Ebadi  |e author 
245 0 0 |a Overcrowding management and patient safety: An application of the stabilization model 
260 |b Wolters Kluwer Medknow Publications,   |c 2020-01-01T00:00:00Z. 
500 |a 1735-9066 
500 |a 10.4103/ijnmr.IJNMR_254_19 
520 |a 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. 
546 |a EN 
690 |a emergencies 
690 |a hospitals 
690 |a iran 
690 |a patient safety 
690 |a Nursing 
690 |a RT1-120 
655 7 |a article  |2 local 
786 0 |n Iranian Journal of Nursing and Midwifery Research, Vol 25, Iss 5, Pp 382-386 (2020) 
787 0 |n http://www.ijnmrjournal.net/article.asp?issn=1735-9066;year=2020;volume=25;issue=5;spage=382;epage=386;aulast=Babatabar-Darzi 
787 0 |n https://doaj.org/toc/1735-9066 
856 4 1 |u https://doaj.org/article/2f3179deff0a453dae6e62c40a2b9dea  |z Connect to this object online.