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Year : 2016  |  Volume : 7  |  Issue : 1  |  Page : 96

Death portrait of Isfahan Province in years 2007-2011

1 Health Management and Economics Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
2 Isfahan Provincial Health Center, Isfahan University of Medical Sciences, Isfahan, Iran

Correspondence Address:
Ali Nemati
Health Management and Economics Research Center, Iran University of Medical Sciences, Tehran
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Source of Support: None, Conflict of Interest: None

DOI: 10.4103/2008-7802.187250

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Background: The rapid rise in noncommunicable diseases (NCDs) is one of the main health challenges affecting the global development in the present era. This raising challenge is a major threat to countries' socioeconomic development as well as millions of people health. Methods: It was a retrospective study with analysis of reported death in Isfahan Province during a 5-year period from 2007 to 2011. Required data were collected from statistics provided by Deputy of Health in Kashan and Isfahan Universities of Medical Sciences in 2012. Excel software was used for data analysis. Results: During this period, the cardiovascular events, cancers and tumors, unintentional injuries, respiratory diseases, and prenatal mortality were the main reasons of mortality in Isfahan Province. The overall rate of cardiovascular events rose 5.10% in the 5-years of the study observation, and Khor - Biabanak was on the top of the list; while in cancer rating Khor - Biabanak, Golpayegan, and Khansar both stood at the outset (per 1,000 people). For injuries, the highest rate belonged to Golpayegan, Tiran-Kervan, and Chadegan. Meanwhile, for mental illnesses, the highest rate was observed in Khomeini Shahr. Moreover, the highest maternal and fetal mortality was reported in Fereydunshahr, Khor - Biabanak and Mobarakeh. Conclusions : Given the sharp rise of NCD, programs by health care system should be directed toward lifestyle modification while a proper framework should be determined to deal with these kinds of disease. Furthermore, optimal allocation of resources based on needs can provide better facilities for different cities.

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