Statistical Analysis for the Impact of Public Services on Health Care and Illness; (Case Study: Khartoum State)

Abstract

The health care services in Khartoum State cover a wide area of the state, this study was aimed to review how the people of the state had benefited from those services and what are the most effective other variables on health care in the state. The study reviews the demographic factors of the population of the Sudan and the financial support to the health sector. The study hypothesized that the health care services provided by the government of Khartoum state is not enough and the health status of the individuals affected by other factors as the level of education, drinking water sources, sanitation and demographic factors such as household size. To test these hypotheses we consider two stage analyses, in the first stage we have two models of binary dependent probit models and in the second stage we use the ordinary least squares regression as statistical techniques to test the hypotheses. The study found that the most effective variables on health status of an individual are the distance to health facilities, the water supply variables and personal secondary schooling. To improve the health care services in Khartoum state the study recommended, there should be a great care of human resources that working in the health sector by effective policy and training programmes should be community-based, promotion and protection of a healthy environment and providing safe drinking water and prevention of chemical pollution, lastly elimination, eradication and control of disease by increasing the awareness of the importance of the primary health care between individuals