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A Brief Note On Diabetes And The Middle East

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Background
Diabetes is a chronic disease that has continuously had a public health impact for decades. Its public health impact is so profound that the World Health Organization named it as one of the top four priority non-communicable diseases around the world (WHO, 2016). Diabetes is characterized by abnormally high levels of glucose in the blood, caused by an inability of the body to either produce or properly use insulin (Albright et. al, 2012). Its two types, type one and type two, have been steadily increasing around the world, forming the diabetes epidemic we have today. The rate of diagnosis is projected to almost double in the next 20 years from 382 million diagnoses worldwide in 2013 to 592 million in 2035 (Abdel-Hady et al.,
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Because Egypt does not have a national diabetes registry, the country’s ability to properly deal with the issue has been hindered, since specific incidence rates are unknown. Therefore, this surveillance system will use existing information such as death records, hospital discharge diagnosis, and emergency room information to assess the public health impact and trends in diabetes. It will use this information to create an effective web based registry for the country that systematically collects information on diabetes diagnosis, management, and treatment. It will also use the existing information to collect information on the age, sex, race and ethnicity, and geographic location of those who have the disease. Each hospital in the country will be required to send a monthly account of this information that will be stored in the web based registry and electronically sent to the Egyptian Department of health for analysis. As a result, this public health surveillance system is passive, since institutions will be providing information on a regular basis. To keep all data confidential, identification numbers will be used when sending collected information. Following data collection, a group of biostatisticians and epidemiologists will analyze the data. The information will be analyzed using biostatistics, geographic location, and time. The incidence, prevalence, morbidity, and mortality rates will be calculated to give a better scope of the diabetes
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