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   A Model For Predicting Hospitalized Children Appropriate For Early Discharge During Disasters  
   
نویسنده Shabanikiya Hamidreza ,Gholami-Fadihegi Mahdi ,Khodashenas Ezzat ,Sohrabizadeh Sanaz ,Heidarian Miri Hamid
منبع Health In Emergencies And Disasters Quarterly - 2019 - دوره : 5 - شماره : 1 - صفحه:37 -44
چکیده    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.
کلیدواژه Pediatric ,Early Discharge ,Disasters
آدرس Mashhad University Of Medical Sciences, Social Determinants Of Health Research Center, Department Of Health Economics & Management Sciences, Iran, Mashhad University Of Medical Sciences, Student Research Committee, School Of Health, Iran, Mashhad University Of Medical Sciences, Faculty Of Medicine, Iran, Shahid Beheshti University Of Medical Sciences, School Of Health, Department Of Health In Disasters And Emergencies, Iran, Mashhad University Of Medical Sciences, Social Determinants Of Health Research Center, Department Of Epidemiology And Biostatistics, Iran
پست الکترونیکی heidarianh@mums.ac.ir
 
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