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...

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Main Authors: Hosein Babatabar-Darzi, Iman Jafari-Iraqi, Hosein Mahmoudi, Abbas Ebadi
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Iranian Journal of Nursing and Midwifery Research
Subjects:
Online Access:http://www.ijnmrjournal.net/article.asp?issn=1735-9066;year=2020;volume=25;issue=5;spage=382;epage=386;aulast=Babatabar-Darzi
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author Hosein Babatabar-Darzi
Iman Jafari-Iraqi
Hosein Mahmoudi
Abbas Ebadi
author_facet Hosein Babatabar-Darzi
Iman Jafari-Iraqi
Hosein Mahmoudi
Abbas Ebadi
author_sort Hosein Babatabar-Darzi
collection DOAJ
description 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.
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spelling doaj.art-2f3179deff0a453dae6e62c40a2b9dea2022-12-22T02:23:19ZengWolters Kluwer Medknow PublicationsIranian Journal of Nursing and Midwifery Research1735-90662020-01-0125538238610.4103/ijnmr.IJNMR_254_19Overcrowding management and patient safety: An application of the stabilization modelHosein Babatabar-DarziIman Jafari-IraqiHosein MahmoudiAbbas EbadiBackground: 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.http://www.ijnmrjournal.net/article.asp?issn=1735-9066;year=2020;volume=25;issue=5;spage=382;epage=386;aulast=Babatabar-Darziemergencieshospitalsiranpatient safety
spellingShingle Hosein Babatabar-Darzi
Iman Jafari-Iraqi
Hosein Mahmoudi
Abbas Ebadi
Overcrowding management and patient safety: An application of the stabilization model
Iranian Journal of Nursing and Midwifery Research
emergencies
hospitals
iran
patient safety
title Overcrowding management and patient safety: An application of the stabilization model
title_full Overcrowding management and patient safety: An application of the stabilization model
title_fullStr Overcrowding management and patient safety: An application of the stabilization model
title_full_unstemmed Overcrowding management and patient safety: An application of the stabilization model
title_short Overcrowding management and patient safety: An application of the stabilization model
title_sort overcrowding management and patient safety an application of the stabilization model
topic emergencies
hospitals
iran
patient safety
url http://www.ijnmrjournal.net/article.asp?issn=1735-9066;year=2020;volume=25;issue=5;spage=382;epage=386;aulast=Babatabar-Darzi
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