Spatial Distribution of Health Services in Iranian Provinces at the End of the Fifth Development Plan; 2015 (Based on Health Structural Indicators)

Abstract

Background: Human capital is one of the key factors in sustainable development, and health is an important part of human capital. According to this, a major goal of the Fifth and Sixth Development Plans in Iran was the establishment of regional equilibrium and justice as well as reduction of inequality in health indicators. Objectives: This research aimed at ranking and comparing Iranian provinces in terms of the level of development of health indicators and the utilization of resources in the final year of the Fifth Plan (2015). Methods: Following the objectives of the research and based on 17 indicators, the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method was applied to calculate and compare provincial development level in health indicators during year 2015. Besides, the Moran test was used to examine the impact of development of health indicators in a province on neighboring provinces' indicators. Results: In the final year of the Fifth Plan (2015), among thirty-one provinces studied, Semnan and Khuzestan had the highest and the lowest levels of healthcare development in the country, respectively. In this area, the five provinces of Semnan, Markazi, Yazd, and Southern Khorasan were respectively the most benefited while Qom, Kerman, Sistan and Baluchestan, Alborz, and Khuzestan were the most deprived provinces of the country. Also, an inverse relationship was found between greater concentration of resources in a region and less resources and benefits in neighboring areas. Conclusions:The ranking and comparison of the level of development of health indicators in provinces at the end of the Fifth Program indicated that healthcare resources and facilities were distributed unequally. If the distribution pattern is not improved, greater concentration of facilities in more beneficial areas will lead to further weakening of neighboring areas. According to the results, Qom, Kerman, Sistan and Baluchestan, Alborz, and Khuzestan provinces had less access. Therefore, due attention is needed by policy-making on these indicators. The type of indicators showed that the environmental conditions in Khuzestan, especially the problem of microorganisms in the air, have generated reluctance among physicians to work in these areas. Therefore, in addition to reviewing resource allocation as revealed by the indicators, it is necessary to use incentive levers to compensate for these problems.

The age and cause decomposition of inequality in life expectancy between Iranian provinces: application of Arriaga method

“…In general, Overall, the provinces with low LE have the common attributes. They have least income and literacy level, and rate of urbanization and access to medical and health services is low compared with the provinces with high LE [ 19 – 21 ]. Moreover, prevalence of malnutrition, child mortality in these provinces is high [ 22 , 23 ].…”