Volume 5, Issue 1 (Autumn 2019)
Health in Emergencies and Disasters Quarterly 2019, 5(1): 37-44 |
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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. Health in Emergencies and Disasters Quarterly 2019; 5 (1) :37-44
URL: http://hdq.uswr.ac.ir/article-1-264-en.html
URL: http://hdq.uswr.ac.ir/article-1-264-en.html
Hamidreza Shabanikiya1 
, Mahdi Gholami-Fadihegi2 , Ezzat Khodashenas3 , Sanaz Sohrabizadeh4 , Hamid Heidarian Miri * 5
, Mahdi Gholami-Fadihegi2 , Ezzat Khodashenas3 , Sanaz Sohrabizadeh4 , Hamid Heidarian Miri * 5
1- Department of Health Economics & Management Sciences, Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran., Faculty of Health, Daneshgah Ave. #18, Mashhad-Iran, Tel.: (+98 51) 31892503
2- Student Research Committee, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran., Faculty of Health, Daneshgah Ave. #18, Mashhad-Iran, Tel.: (+98 51) 31892503
3- Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran., Faculty of Medicine, Azadi Square, Pardis campus, Mashhad-Iran Tel.: (+98 51) 38828888
4- Department of Health in Disasters and Emergencies, School of Health, Safety, and Environment, Shahid Beheshti University of Medical Sciences, Tehran, Iran., School of Health, ShahidBeheshtiUniversityof Medical Science, Daneshjoo Blvd, Evin Ave, Tehran, IR. IRAN Tel Number: 0098-21-22432040-41
5- Department of Epidemiology and Biostatistics, Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. ,heidarianh@mums.ac.ir
2- Student Research Committee, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran., Faculty of Health, Daneshgah Ave. #18, Mashhad-Iran, Tel.: (+98 51) 31892503
3- Faculty of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran., Faculty of Medicine, Azadi Square, Pardis campus, Mashhad-Iran Tel.: (+98 51) 38828888
4- Department of Health in Disasters and Emergencies, School of Health, Safety, and Environment, Shahid Beheshti University of Medical Sciences, Tehran, Iran., School of Health, ShahidBeheshtiUniversityof Medical Science, Daneshjoo Blvd, Evin Ave, Tehran, IR. IRAN Tel Number: 0098-21-22432040-41
5- Department of Epidemiology and Biostatistics, Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran. ,
Abstract: (3337 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.
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.
Type of Study: Research |
Subject:
Special
Received: 2019/07/19 | Accepted: 2019/10/28 | Published: 2020/04/8
Received: 2019/07/19 | Accepted: 2019/10/28 | Published: 2020/04/8
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This is an open access article distributed under the terms of the Creative Commons Attribution License (CC-By-NC), which permits use, distribution, and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
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