Akram Ghanbari Moghadam - .Faculty of Nursing and Midwifery school, Mashhad University of Medical Sciences, Khorasan-e Razavi, Mashhad, Iran
Mojtaba Mohammadi - Dpartment of Health Education and Promotion, Faculty of Health Sciences, Tabriz University of Medical Sciences, Tabriz, Iran
Fateme Ardane - Faculty of Nursing and Midwifery, Sabzevar University of Medical Sciences, Khorasan-e Razavi, Sabzevar,Iran
Shahrbanoo Talebi - Faculty of Nursing and Midwifery, Sabzevar University of Medical Sciences, Khorasan-e Razavi, Sabzevar,Iran
Zeinab Karbalaee - Faculty of Nursing, University of Social Welfare & Rehabilitation Sciences, Tehran, Iran

Introduction: Emergency wards today are facing with an increasing numbers of older patients. Therefore, it seems important and essential to develop a short screening tool with an acceptable predictive power to identify the seniors being discharged from hospital and mean while are at risk of a decline in physical and mental performance, and thus, facing re-admission emergency wards in hospitals.   Methods: This prospective study was performed on 190 randomly selected elderly people being discharged from emergency centers in Sabzevar city. Data were collected using Identification of Seniors at Risk (ISAR), GHQ-12 and Barthel questionnaires. Descriptive and inferential statistical methods including Pearson correlation coefficient and area under the ROC curve were used for data analysis.   Results: Within the six months period of follow up,  the accuracy of ISAR tool for predicting functional and mental performance decline was at a moderate level (AUC = 0.74 , AUC = 0.77 ) but at desirable level for both physical and mental performances, as a whole condition (AUC = 0.84). Conclusion: ISAR has moderate accuracy to predict the risk of physical or mental decline in elderly people six months after discharge from hospital emergency wards.  

Aged, Emergencies, Seniors at Risk