Socioeconomic status and self-rated health in Iran: findings from a general population study.

BACKGROUND: There are large gaps in health and well-being among different groups of the society. Socioeconomic factors play a significant role in determining the health status of the society. The present study was conducted to examine socioeconomic inequality in health status among the adult population of Khorramabad city, the capital of Lorestan province, wester part of Iran. METHODS: A cross-sectional study was conducted on 1348 participants selected through multistage sampling. A valid and reliable questionnaire was used for data collection. The wealth index as an indicator of the socioeconomic status (SES) was used to categorize the subjects in terms of the SES. The concentration index and concentration curve was used to measure socioeconomic inequity in poor self-rated health (SRH) of population. Finally, after determine the status of inequity in poor SRH, a decomposition analysis approach was used to identify the most important determinants of this inequity. RESULTS: The prevalence of poor SRH was 18.91% in all subjects, 38.52% in the lowest SES group, and 11.15% in the highest SES group. The value of the concentration index for poor SRH was - 0.3243 (95% CI - 0.3996 to - 0.2490), indicating that poor SRH was more concentrated among the poor. The results of decomposition analysis showed that SES (41.2%), higher body mass index (28.6%) and lack of physical activity (26.9%) were the most important factors associated with the concentration of poor SRH in the poor groups. CONCLUSION: Identification of socioeconomic factors affecting on health status is the first step for proper policymaking. Policymakers and health system managers at the national and subnational levels can use the results of this study as well as other similar domestic studies to design and implement proper interventions to promote equity and improve the health status of population.

The Study of Effective Factors on Iran's Pharmaceutical Export Supply and Demand.

The importance of drug as a valuable export product in the global economy becomes clearer every day. Understanding the problems of exports and factors affecting it, can be an important step to keep Iran's position in the world markets and further export development of this product. In this study, Iranian pharmaceutical exports' supply and demand functions were calculated using co-integration and error correction techniques through time series quarterly data of 2000-2014 in order to identify the factors affecting pharmaceutical exports (short run and long run relationships among the variables) and price and income elasticities. The long run price elasticity of demand of -2.28 indicates that an increase in Iran's export price relative to competitor's export price will have a negative impact on pharmaceutical export volume. Also, the long run income elasticity of foreign demand for pharmaceutical exports of Iran is 1.11. That is an increase in income of foreign countries will have a positive impact on Iran's pharmaceutical export. On the other hand, the long run price elasticity of export supply is 1.09, indicating that the supply of pharmaceutical export is sensitive to the relative price changes. In other words, an increase in export price relative to domestic price as well as an expansion of the pharmaceutical production capacity will increase its export supply. Being aware of the factors affecting the pharmaceutical exports can prepare the ground to develop the pharmaceutical industry and balance the supply and demand in the long run. Therefore, the results of this study can help Iran's policymakers and managers to choose a clearer path for the pharmaceutical trade policies.

The impact of disease characteristics on multiple sclerosis patients' quality of life.

OBJECTIVES: The aim of this study was to assess the quality of life (QoL) of patients with multiple sclerosis (MS), and to investigate the effects of characteristics of MS such as disease course, severity, and relapses on patients' QoL. METHODS: This was a cross-sectional study, in which 171 patients were enrolled. Health-related QoL was assessed using the Persian version of the Multiple Sclerosis Quality of Life-54 questionnaire. To measure patients' disability status, we used the Expanded Disability Status Scale. Other variables included in the study were disease course and relapses of the disease. RESULTS: The average scores for patients' physical and mental QoL were 60.9±22.3 and 59.5±21.4, respectively. In a bivariate analysis, disease course, severity of the disease, and relapses were significantly associated with the physical and mental health composite scores. In a hierarchal regression analysis, disease course, severity of the disease, and relapses were responsible for 38 and 16% of the variance in physical and mental QoL, respectively. It was also observed that relapses were a strong predictor of both physical and mental QoL. CONCLUSIONS: Our results showed that disease characteristics significantly affected both dimensions of QoL. It is therefore suggested that health care providers should be aware of these characteristics of MS to more successfully improve MS patients' QoL.

Main Determinants of Supplementary Health Insurance Demand: (Case of Iran).

INTRODUCTION: In the majority of developing countries, the volume of medical insurance services, provided by social insurance organizations is inadequate. Thus, supplementary medical insurance is proposed as a means to address inadequacy of medical insurance. Accordingly, in this article, we attempted to provide the context for expansion of this important branch of insurance through identification of essential factors affecting demand for supplementary medical insurance. METHOD: In this study, two methods were used to identify essential factors affecting choice of supplementary medical insurance including Classification and Regression Trees (CART) and Bayesian logit. To this end, Excel® software was used to refine data and R® software for estimation. The present study was conducted during 2012, covering all provinces in Iran. Sample size included 18,541 urban households, selected by Statistical Center of Iran using 3-stage cluster sampling approach. In this study, all data required were collected from the Statistical Center of Iran. RESULTS: In 2012, an overall 8.04% of the Iranian population benefited from supplementary medical insurance. Demand for supplementary insurance is a concave function of age of the household head, and peaks in middle-age when savings and income are highest. The present study results showed greater likelihood of demand for supplementary medical insurance in households with better economic status, higher educated heads, female heads, and smaller households with greater expected medical expenses, and household income is the most important factor affecting demand for supplementary medical insurance. CONCLUSION: Since demand for supplementary medical insurance is hugely influenced by households' economic status, policy-makers in the health sector should devise measures to improve households' economic or financial access to supplementary insurance services, by identifying households in the lower economic deciles, and increasing their financial ability to pay. Moreover, insurance companies should adjust their insurance policy according to clients' needs, household characteristics, and their incomes.

Factors Affecting Health Care Utilization in Tehran.

INTRODUCTION: Successful health system planning and management is dependent on well informed decisions, so having complete knowledge about medical services' utilization is essential for resource allocation and health plans. The main goal of this study is identification of factors effecting inpatient and outpatient services utilization in public and private sectors. METHODS: This study encompasses all regions of Tehran in 2011 and uses Urban HEART questionnaires. This population-based survey included 34700 households with 118000 individuals in Tehran. For determining the most important factors affected on health services consumption, logit model was applied. RESULTS: Regarding to the finding, the most important factors affected on utilization were age, income level and deciles, job status, household dimension and insurance coverage. The main point was the negative relationship between health care utilization and education but it had a positive relationship with private health care utilization. Moreover suffering from chronic disease was the most important variable in health care utilization. CONCLUSIONS: According to the mentioned results and the fact that access has effect on health services utilization, policy makers should try to eliminate financial access barriers of households and individuals. This may be done with identification of households with more than 65 or smaller than 5 years old, people in low income deciles or with chronic illness. According to age effect on health services usage and aging population of Iran, results of this study show more importance of attention to aged population needs in future years.