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Mental health is an inevitable and vital dimension when it comes to providing a global definition for the appropriate health status. This highlights the importance of investigating factors influencing utilization and out-of-pocket payments (OOP) for mental health services. Thus, the purpose of this paper is to assess the determinants of the utilization and OOP for psychiatric healthcare in Iran.

A total of 39,864 households were included in this cross-sectional study. Data on the utilization and OOP for psychiatric healthcare as well as all their determinants (e.g. wealth index of households, geographical area, household size, etc.) were extracted from the Household Income and Expenditure Survey (HIES). The HIES was conducted by the Statistical Center of Iran in 2016. A zero-inflated Tobit model was used to identify the main factors affecting utilization and OOP for psychiatric healthcare utilization.

The average of utilization and OOP for psychiatric services was found to be 14.67 times per 1,000 households and $7.783 per month for service users, respectively. There were significant positive relationships between income and utilization (p=0.0002) and OOP (p<0.0001) for psychiatric services. Significant negative associations were found between the number of illiterate people in the household and OOP (coefficient=−1.56) and utilization (coefficient=−0.2002) for psychiatric services. Utilization and OOP for psychiatric services were statistically significantly higher among households with higher wealth status.

Despite the higher rate of mental disorders, the utilization of psychiatric services in Iran is very low. Due to financial barriers and insufficient insurance coverage, high socioeconomic status (SES) households utilize more psychiatric services than low-SES households. Thus, the integration of mental health services in public health programs is required to improve the utilization of psychiatric services in Iran.

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.