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1.
Electron Physician ; 7(6): 1407-11, 2015 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-26516451

RESUMO

INTRODUCTION: In recent years, the World Health Organization (WHO) has emphasized the importance of determining the equality of the distribution of healthcare resources. Inequalities in the healthcare system are one of the world's most important developmental challenges, and the inefficiencies that exist in healthcare systems are the most important reason for these challenges. Thermal burns are one of the common injuries worldwide, and their effects are a significant reason for the mortality and morbidity rates throughout the world. Considering the importance of burns as one of the 30 leading causes of death in Iran, this study was aimed to compare the distribution of burn beds with its disability-adjusted life years (DALY) in Iran. METHODS: This applied analytic-descriptive study was conducted in order to determine the distribution of burn beds in Iran using the Lorenz curve. In this way, the distribution of burn beds was analyzed in relation to the population of each province and lost DALY caused by burns in Iran. For each province, the number of burn beds in 2012 was collected from credible and authoritative sources at the Ministry of Health, and the population of each province was obtained using data from the National Center of Statistics. The data were analyzed and presented using Microsoft Office Excel. RESULTS: Isfahan and Khorasan Razavi Provinces had approximately 11 and 10.4% of the country's burn beds, respectively. The Provinces that had the most DALY were Sistan Baluchestan, Fars, and Kerman with 10.75%, 10.34%, and 9.54%, respectively. The Gini coefficients of burn beds in relation to population and DALY were calculated as 0.09 and 0.16, respectively. CONCLUSION: The Gini coefficients in relation to population and DALY were less than 0.2. Although the Gini coefficient of the burn beds in relation to DALY was more than that for the population, the difference was not significant, and the distributions of beds regarding the two calculated coefficients were equal. It is recommended that healthcare policymakers distribute burn beds in proportion to the populations of the provinces.

2.
Electron Physician ; 7(7): 1470-5, 2015 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-26767100

RESUMO

INTRODUCTION: In recent decades, the development of medical and pharmaceutical science has led to a heavy financial burden on the government, insurance companies, and the general population. Due to the increasing the cost of pharmaceutical products in the Kermanshah Province, policy makers have tried to identify the factors that resulted in the increases. The aim of this study was to determine the main factors that affect the expenditures for pharmaceutical products by urban households in Kermanshah Province, Iran. METHODS: This analytical-descriptive study was conducted using time series method. The study population was urban households of Kermanshah Province from 1991 to 2013. The explanatory variables of the log-log model were drug price index (LnDPI), the average income of urban households (LnINC), the number of physicians per 1,000 people (LnPH), and the number of hospital beds per 1,000 people (LnBE).The required data were acquired from the Statistical Center of the Ministry of Health and Medical Education. The unit root was evaluated by the Dickey-Fuller test. Stata v.11 software was used for the statistical analysis. RESULTS: Coefficients of LnDPI and LnPH were 0.97 and 0.77, respectively, and they were statistically significant (p < 0.05). Also, the coefficients of D. LnINC (first difference of LnINC) and LnBE were 0.34 and 1.8, respectively, and both of them were statistically insignificant (p > 0.05). CONCLUSION: The results showed that drugs are non-elastic and essential for households. It should be noted that the health policy makers in Iran should conduct appropriate planning to ensure both the physical and financial accessibility to drugs by urban households. The development of basic and supplementary health insurance coverage, especially for poor populations and urban areas where there are patients with chronic diseases, can be a suitable solution to reduce barriers to acquiring the required drugs.

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