S Aghamohamadi, , , , ,
Volume 14, Issue 1 (Vol 14, No 1, 2018)
Abstract
Background and Objectives: Among non-communicable diseases, endocrine, nutritional, and metabolic diseases have increased in recent decades, especially in developing countries. This study was conducted to evaluate and predict deaths from this group of diseases in Iran
Methods: In this analytical cross-sectional study, the study population comprised all deaths of endocrine, nutritional, and metabolic diseases recorded in the Ministry of Health and Medical Education during the years 2006 to 2016. In order to forecast the trend of cause of death, the Lee Carter model was employed in the demographic package 18/1 of the R software version 3/3/1.
Results: The death rate from endocrine, nutritional, and metabolic diseases increased in all age and sex groups from 2006 to 2015. It was predicted that death rate of this group of diseases would reach 197/71 in 100,000 in the total population, 202/97 in 100,000 women, and 188/99 in 100,000 men in 2035.
Conclusion: Several factors play a role in endocrine and metabolic diseases, one of which is aging and aging population. Considering the change in the age structure of the population of Iran by 2035 and the increase in population’s age, an increasing trend is expected in the mortality rate due to these diseases. Because of this rapid increase, policymakers need to adopt intergovernmental population-based plans and policies in this regard.
S Aghamohamadi, A Khosravi, E Kazemi, A Atefi,
Volume 16, Issue 1 (Vol.16, No.1 2020)
Abstract
Background and Objectives: A large proportion of the data of cause of death is registered in hospitals in Iran. Assessment of the death data can help to identify the problems of cause of death registration system and improve it. Therefore, this study was conducted to review the quality of cause of death registration in Iranian hospitals in 2016.
Methods: All hospital deaths in 2016 were reviewed and classified by age group and sex using the Ministry of Health’s death registration system. Analysis of Causes of National Deaths for Action (ANACONDA) was used to evaluate the quality of the data of cause of death.
Results: About 24% of the recorded hospital deaths were assigned to garbage code categories. The highest percentage of this group was seen in the age group over 70 years old and the highest percentage of well-defined causes of death was seen in the age group below one year. Moreover, among the five groups of garbage code causes of death, the group with insufficient details of the cause of death based on ICD classification had the highest percentage in all age groups.
Conclusion: Since a substantial proportion of the causes of deaths registered in the Iranian hospitals are categorized in the garbage code categories and cannot be used for planning and health policy making, it is necessary to design a comprehensive plan to implement interventions such as implementation of process evaluation programs and training programs for physicians and coders.
