Volume 5, Issue 1 (Autumn 2019)                   HDQ 2019, 5(1): 37-44 | Back to browse issues page


XML Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Shabanikiya H, Gholami-Fadihegi M, Khodashenas E, Sohrabizadeh S, Heidarian Miri H. Research Paper: A Model for Predicting Hospitalized Children Appropriate for Early Discharge During Disasters. HDQ. 2019; 5 (1) :37-44
URL: http://hdq.uswr.ac.ir/article-1-264-en.html
1- Department of Health Economics & Management Sciences, Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
2- Student Research Committee, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
3- Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
4- Department of Health in Disasters and Emergencies, School of Health, Safety, and Environment, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
5- Department of Epidemiology and Biostatistics, Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. , heidarianh@mums.ac.ir
Abstract:   (674 Views)
Background: Early Discharge is one of the most well-known strategies to increase hospital capacity during disasters, which is applicable by recognizing the patients appropriate for early discharge. Therefore, the current study was conducted to estimate a model for predicting hospitalized children appropriate for early discharge during disasters based on the attending physician’s opinion.
Materials and Methods: This cross-sectional study was conducted on 210 pediatric patients hospitalized in the emergency and pediatrics wards of the hospitals covered by Mashhad University of Medical Sciences. A researcher-made questionnaire was used to collect data. Questionnaires were completed at the patient’s bedside by a trained questioner. The logistic regression was used to analyze the data.
Results: Five variables, such as consciousness level (OR=4.677), dehydration status (2.596), ability to take milk/swallow (OR=1.930), blood oxygen saturation level (OR=1.186), and body temperature (OR=0.530) were determined as predictors for children appropriate for early discharge during disasters. The area under the ROC curve was calculated 0.848, which indicated a good curve fit of the estimated model.  
Conclusion: The model presented in the current study can help clinical staff identify hospitalized children appropriate for early discharge during disasters.
Full-Text [PDF 591 kb]   (141 Downloads) |   |   Full-Text (HTML)  (82 Views)  
Type of Study: Research | Subject: Special
Received: 2019/07/19 | Accepted: 2019/10/28 | Published: 2020/04/8

Add your comments about this article : Your username or Email:
CAPTCHA

Send email to the article author


Designed & Developed by : Yektaweb