The study findings showed that the public health expenditures in the EMR countries improved health outcome, while the private health expenditures did not have any significant relationship with health status, so often increasing the public health expenditures leads to reduce IMR. But this relationship was not significant because of contradictory effects for poor and wealthy peoples.

ObjectivesOne way to prevent deaths due to rabies is the timely utilization of post-exposure prophylaxis (PEP). Therefore, in addition to an understanding of the epidemiological distribution of animal bites, it is necessary to explore the factors leading to delays in PEP initiation.MethodsThis cross-sectional study was conducted in Iran in 2011, and included 7097 cases of animal bites recorded at the Rabies Treatment Center of the Shiraz University of Medical Sciences using the census method. Logistic regression was used to identify factors associated with delays in PEP.ResultsAmong the patients studied, 5387 (75.9%) were males. The prevalence of animal bites in Fars province was 154.4 per 100 000 people. Dogs were the most frequent source of exposure (67.1%), and the most common bitten part of the body was the hands (45.5%). A delay in the initiation of PEP was found among 6.8% of the studied subjects. This delay was more likely in housewives (odds ratio [OR], 4.66; 95% confidence interval [CI], 2.12 to 10.23) and less likely in people with deep wounds (OR, 0.65; 95% CI, 0.43 to 0.97).ConclusionsAlthough all animal bite victims received complete PEP, in some cases, there were delays. Further, the type of animal involved, the depth of the bite, and the patient’s occupation were the major factors associated with a delay in the initiation of PEP for rabies prevention.

Background: Although some healthcare reforms such as Health Transformation Plan (HTP) were implemented in Iran to provide required healthcare services, few studies have been conducted to track the impacts of these reforms on socioeconomic inequality in healthcare utilization. This study aims to track socioeconomic inequalities in healthcare utilization and their changes between 2008 and 2016 in Iran. Methods: Required data were obtained from two of Iran's utilization of healthcare services survey conducted in 2008 and 2016. Erreygers concentration index (EI) was used to measure inequality in the utilization of outpatient and inpatient healthcare services (UOH and UIH). The decomposition of EI (DEI) was used to explain healthcare utilization inequality. Oaxaca decomposition (OD) was also employed to track the changes in EI in this period. Result: Inequality in UOH increased from 0.105 to 0.133 in the studied years, indicating the pro-rich distribution of UOH. Inequality in UIH decreased from 0.0558 to − 0.006. DEI showed that economic status was the main factor that contributed to inequality in the UOH and UIH. OD showed that residence in rural areas and supplementary insurance were the main contributing factors in the increased inequality of UOH. Moreover, OD also showed that economic status was the main contributing factor in the reduced inequality of UIH. Conclusion: While Iran still suffers from significant socioeconomic inequalities in UOH, it seems that healthcare reforms, especially HTP, have reduced UIH inequality. Expanding healthcare reforms into the outpatient sector and also implementing effective health financing policies could be recommended as a remedy against UOH inequality.

Background: Evidences showed that the incidence of catastrophic health expenditure is unequally distributed among disadvantaged populations. The present study has tried to explain the contributors of this unfair inequality in Hamadan, Iran. Methods: The target population was households that utilized inpatient services in hospitals of Hamadan. A proportional stratified random sampling method was used to determine study sample (N = 770). The associated factors of catastrophic health expenditure were estimated using logistic regression analysis. The inequality of catastrophic health expenditure was measured by concentration index and explained by decomposition analysis. The data were analyzed by using STATA version 12. Results: The key determinants of catastrophic health expenditure were poor economic status, lower household size, lack of supplementary insurance and the number of hospitalizations. The overall concentration index of catastrophic health expenditure in Hamadan was −0.163 (95% CI: −0.242 to −0.083). Household economic status (63.60%) and household size (39.90%) were considered as the first and the second largest contributors of catastrophic health expenditure inequality, respectively. Conclusion: It is demonstrated that catastrophic health expenditure inequality in Iran could be explained by the factors beyond the health sector scope. Hence, future policy efforts need to consider both health system factors and the factors beyond the health system to eliminate catastrophic health spending burden and its inequality.

The findings of our study indicated that fiscal decentralization should be emphasized in the health sector. The results suggest the need for caution in the implementation of fiscal decentralization in provincial revenues.