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This study aims to calculate the inequity in out of pocket expenditures and utilization of laboratory tests in Iran. Equal access to health services is an important part of human rights in health care. Out-of-pocket payment is a part of financial access to health care. In this study, the authors tried to find inequity in out-of-pocket payments and utilization of medical laboratory tests (MLTs) as a part of human rights in Iran in 2016.

Gini and concentration indices were calculated for this purpose, and regression models were estimated to show the relationship between different factors and utilization and out-of-pocket.

The average out-of-pocket payment for all of the households was US$1.56 (urban areas: 1.97 and rural areas: 1.31). Moreover, the average utilization of MLTs was 0.079 (urban areas: 0.0908 and rural areas: 0.0753). Gini and concentration indices for out-of-pocket payments were 0.522 and 0.0701, respectively.

Out-of-pocket and utilization were low in lower in less developed regions of ease and southeast regions of the country and were related to access to health insurance, income and wealth deciles.

Equal distribution of health human resources is a major issue to achieve human rights in healthcare. Rural family physicians (RFPs) as a part of health human resources play an important role in delivering health services, so the purpose of this paper is to calculate amount of inequity in distribution of RFPs in Iran.

In this study, the authors tried to find inequity in the distribution of RFPs in the provinces of Iran. For this purpose, inequity indices containing concentration curves and indices were calculated by ranking health-adjusted life expectancy (HALE). Furthermore, a regression model was estimated to find the pattern and influencing factors of inequity in the distribution of RFPs.

The number of male RFPs was significantly higher in Sistan va Baloochestan, and in the same line, the number of female RFPs was higher in Zanjan province. Concentration index of total RFPs was 0.0568 (not significant) (males= 0.041, females= 0.0718). The results of regression model showed that HALE and per capita GDP did not have any significant relationship with RFPs distribution (HALE p=0.753, GDP p=0.792).

The RFP plan was successful in enhancing equal access to physician and health care services relatively. However, gender imbalance in distribution of RFPs was high especially in less-developed regions.

Studying the relationship between crime and traffic accidents in different geographical regions is very critical since varying relationships have been reported to exist in diverse areas. The purpose of this paper is to determine the relationship between crime with injuries and deaths due to road traffic accidents in Iran.

In this study, macro-level panel data between 2007 and 2013 were used. The number of folders due to crimes in each province was used as explanatory variables to show the amount of crime in each province. The number of fatal and injury death was used as outcome variables. The models were estimated using fixed effect panel regression estimator.

The results of this study showed that the number of records in courts (Cr) had a significant positive relationship with fatal accidents (coefficient=0.006). In the injury accidents model, Cr coefficient was 0.008 and significant. In addition, GINI had positive relationship with fatal accidents (coefficient: 1.396), while it had no significant relationship with injury accidents.

A positive association was found between crime and mortalities and morbidities due to traffic accidents. Traffic accidents and crimes are derived from a similar nature. So traffic accidents could be categorized as crime and it is important to increase more prohibitions to decrease traffic accidents. Prevention programs should focus on population groups with high social distinction and criminals, especially traffic offenses.