دوره 5، شماره 1 - ( 7-1398 )                   جلد 5 شماره 1 صفحات 37-44 | برگشت به فهرست نسخه ها


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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. HDQ. 2019; 5 (1) :37-44
URL: http://hdq.uswr.ac.ir/article-1-264-fa.html
Research Paper: A Model for Predicting Hospitalized Children Appropriate for Early Discharge During Disasters. فصلنامه سلامت در حوادث و بلایا. 1398; 5 (1) :37-44

URL: http://hdq.uswr.ac.ir/article-1-264-fa.html


چکیده:   (1352 مشاهده)
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.
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نوع مطالعه: پژوهشي | موضوع مقاله: تخصصي
دریافت: 1398/4/28 | پذیرش: 1398/8/6 | انتشار: 1399/1/20

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