Many studies focusing on health pointed out territorial inequalities and inequities It was recognized the fact that rural areas have a precarious health status compared to urban areas Also, there are differences in health status between the poorest and the most developed areas The main objective of the present study is to point out the importance of lifestyle in influencing the population health status compared to other important determinants, using spatial analysis and health survey In all county, the values of health indicators are higher than the national average, which reveals a poorer health status, and the major risks are related to circulatory system diseases. The relationship between lifestyle and health status has been analyzed using two different indicators: health services index and deprivation index The first has resulted from the standardization of demographic indicators (coverage of physicians), and the second one from socio-economic indicators (education, employment, housing endowment) Lifestyle resulted from health survey variables: nutrition, stress level, physical activity, unhealthy behaviors, and medical behaviors Preliminary results reveal the fact that there are several determinants that have a large share in health: lifestyle, health services, environment, socio-economic factors and age. There are inequalities in health between rural and urban areas as a result of different access to health care, medical services, medical education and lifestyles.
Quality health indicators gained an essential place in attempting to achieve healthcare system performance. Generally, prevention is better and more efficient than cure. In this context, the current state of the art in measuring the outcomes of preventive and outpatient care through analysis of inpatient discharge data is represented by Preventive Quality Indicators that can flag potential problems resulting from a breakdown of health care services by tracking hospitalizations for conditions that should be treatable on an outpatient basis, or that could be less severe if treated early and appropriately. In practice, AHC is useful to identify the potentially preventable hospitalizations in different hospital units, but also the magnitude of preventable hospitalizations in different regions in order to compare the obtained values and thus to provide scientific evidence supporting "decision-making" process. The objectives of the paper are to analyze disparities in potentially avoidable hospitalizations in Romania, in 2013, and to identify some determinants associated with a high level of this indicator. A cross-sectional study conducted on data provided by Romanian DRG database (data for hospital activity) and Romanian Institute of Statistics (data linked with resources availability) was carried out during the year 2013. All 472 public hospitals reporting data were included, regardless of the type of hospital activity financing or type of pathology. Uni and bivariate analysis tried to correlate and describe the level of avoidable hospital morbidity by hospital's activity, demographic indicators and by coverage of population with medical personnel and medical units. AHC valid hospital episodes and AHC rates were calculated. Data were aggregated by region and district level; cardiograms were used for graphical analysis. In Romania, avoidable hospitalizations represent 7% of all hospitalizations. Over half of these hospitalizations have one of the following six diagnoses.
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