The aim of this study was to describe the oral health care system, it's elements (input, process, output and outcome)
and the sociodemographic and behavioral factors relevant to oral health promotion and the oral health care system and to
provide policy markers with information that can be used to improve oral health and the efficiency of the oral health care
system. The modular approach used in the study to guide questionare design, sampling, data collection and analysis is based on Blum's model of the determinants of health status.The study has 3 sources of data: provider surveys, consumer survey and dental epidemiological survey. Logistic regression and data mining was used to establish which of the system's elements has the most influence on oral health outcomes as well as the system outcome. Taking into account sample entropy (.99bit) and value of assessed Bye's error (51.3%) method data mining - (automatic inductive learning) establish use of topical fluorides - fluoride toothpaste as significant factor for the health outcome. Other established factors are variables from input and they are related to dentist and their attitude towards oral health education.