Iranian Journal of

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Background & Objective: Disability-Adjusted Life Years (DALY) summarizes the fatal and nonfatal outcomes of diseases and injuries in one number and gives a quantitative assessment of the health of a population. Estimating the burden of diseases and injuries in Iran in terms of DALY both nationwide and in 6 provinces.
Methods: We used slightly modified versions of the methods developed by the World Health Organization for estimating the burden of premature mortality, disability, and the DALY.
Results: The DALY rate per 100,000 was 21572 and 62% of this was life lost due to premature mortality the remaining 38% was due to disability from diseases and injuries. Fifty-eight percent of the total DALYs had been lost due to non-communicable diseases, 28% due to external causes (injuries), and 14% due to communicable, maternal/ perinatal and nutritional illnesses. The group of diseases and injuries with the highest burden in males waz intentional and unintentional injuries (2.789 million DALYs), while in the female population this position was held by mental disorders with 1.191 million DALYs. The single most important cause of burden was traffic accidents in males and ischemic heart disease in females. Disease burden showed considerable variability between different provinces.
Conclusion: The profile of health and disease in Iran has generally shifted from the predominance of communicable, maternal/perinatal, and nutritional illnesses towards predominance of non-communicable diseases and injuries at the national level. These figures on disease burden at population level are the most objective evidence that can be used in policy making and management of health programs, health research, and resource development within the health sector.

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Background and Objectives: Health insurance would guarantee people security against disease and health problems. Given the key role of health insurance in achieving the goals of justice and reducing the out-of-pocket payment, this study aimed to evaluate the performance of Iran health insurance using the DEA model in 2014.

Methods: This was a cross sectional study. The study population included all Iran health insurance organizations. DEA input and output criteria were selected by targeted library and documentary review and the data were collected accordingly. The determinants of efficiency were evaluated using liner regression.

Results: The mean technical, management, and scale efficiency of Iran health insurance head offices was 0.593, 0.761, and 0.721, respectively. Considering the findings, the capacity of efficiency promotion at these head offices was approximately 41%. Regarding technical efficiency, 5 head offices had the maximum efficiency (1), 7 head offices had efficiency between 0.5 and 1, and 19 head offices had efficiency less than 0.5. In addition, the variables of population and total number of institutions had a significant impact on efficiency.

Conclusion: Based on defined variables, input oriented AP-DEA model was appropriate. The results showed a great capacity for increasing technical efficiency in the Iranian health insurance organizations which could be increased by benchmarking efficient and reference organizations and also adjusting their input. For this purpose, downsizing and agility of the Iranian health insurance organizations based on the e-government clause are proposed for administrative system reform.