Population and mortality profile in the Islamic Republic of Iran, 2006–2035

Background: The Islamic Republic of Iran has encountered demographic and epidemiological changes as a result of the transformation of health measures.

Aims: This study aimed to calculate the population and mortality in the Islamic Republic of Iran during the years 2006 to 2035.

Methods: We carried out a cross-sectional analytical–descriptive account. We calculated the age and sex structure of the Iranian population using census data as well as mathematical methods. The crude and causal death rates were calculated and their 20-year trend was predicted using the Lee–Carter model.

Results: In 2035, the age group 60 years and over will reach 17.6% of the total population. Endocrine, nutritional and metabolic diseases will be the biggest causes of an increase in the rate of death in the general population. The largest decline in cause of death is for unintentional injuries.

Conclusions: Noncommunicable diseases will increase as the aging population grows. Identification of their primary causal and risk factors can, therefore, contribute to prevention and control

Analysis and forecasting the accident mortality trends in the islamic republic of iran applying lee-carter model during the years 2006 to 2035

Objective: To predict the accident mortality trend in next two decades in Iran

Methods: The study population comprised all deaths recorded in the system of registration and classification of causes of death of Ministry of Health and Medical Education of Iran during the years 2006 to 2015. The information was collected via death certificate, burial permit, and reporting forms. To forecast the trends of causes-of-death, Lee Carter model was employed in a demographic package 18.1 of R software version 3.3.1

Results: Based on the results, the highest percentage of all causes of death from accidents [in unintentional accidents] goes to transport accidents, and most top intentional accidents belonged to intentional self-harm. The trends of unintentional accidents in the whole population and both sexes have reduced from 2006 to 2035, such that the rate has reduced from 62.2 in 2006 to 12.1 per 100 thousand populations in 2035. It is anticipated that the causes of death due to intentional accidents with the rate of 8.86 in 2006, will be 1.89 [per 100,000 population] in the year 2035

Conclusion: Accident mortalities have a significant role in the deaths of Iranian population; therefore, to reduce the impact of accident mortality on society, a precise approach is needed to monitor the trends as well as preventing measures and increasing the safety standards

Assessing the main factors affecting waiting times referred to specialized clinics on one of the public hospitals of tehran

Background: Waiting time is one of the factors affected patient satisfaction of service quality wich is offered. Assessing the Main Factors Affecting Waiting Times Referred to Specialized Clinics on One of the Public Hospitals of Tehran

Materials and Methods: This study was applied research that has been done in three stages. Outpatient Clinic of a total of 21 clinics [2661 patients] and 10 percent of the population as the sample size [N:266] and using non-probability sampling method was selected. Data analysis software was used to 11.5 SPSS

Results: The average waiting time of patients was 121 minutes with standard deviation 33.73. Many patients simultaneously, the presence and absence of timely medical charts for scheduling and planning, respectively, with a mean score of 3/9, 3/5 and 3/3 to and from the perspective of service providers, lack of timely medical shortage of doctors and many patients simultaneously with the mean scores were 4/3, 4/1 and 4 were selected as the first three priorities

Conclusion:The admissions process can be studied identify factors affecting waiting time of patient. Whit the proper management and utilization of useful strategies to reduce time and increase client satisfaction and ultimately helped to improved the quality of sevices provided