OBJECTIVES: Cervical cancer (CC) takes the 3^rd place among women cancers globally, accounting for more than quarter of a million deaths annually. In Ukraine it takes the 2^nd place of cancers among women aged 15 to 44, accounting for more than 2000 deaths each year. Gradual increase of CC incidence rates during the previous decade is concurrently followed by the decrease of a median age of diagnosis. Incidence rates for CC in Ukraine are estimated to be at least two times higher than in countries with well-organized cervical screening programs. Thus the aim of this study is to evaluate the most efficient cervical screening strategies using “cost-utility” method. METHODS: "Cost-utility"-based analysis and evaluation are based on the results of own clinical and laboratory studies of 1257 cervical samples (HPV DNA tests and cytological diagnostics) from women aged 19 – 65 (mean age 30.68 (±7.72)), living in different regions of Ukraine. Statistical and mathematical methods are used for modeling the utility function of a number of diagnostic strategies. Analytical representation and evaluation of the data was performed using MATLAB Simulink r2014a software package. RESULTS: Initial hypothesis of the utility function form for HPV DNA and cytological tests was put forward. It was assumed that the first test has a maximum utility at a defined age limit due to the age-dependent increase of the probability of cytological test being positive. This results in reduction of the predictive utility of HPV DNA test. The utility function of cytological test must resemble cumulative sigmoid function. Stated hypothesis was verified on the data on HPV DNA presence in normal cytology and cervical intraepithelial lesions using methods of mathematical modeling. CONCLUSIONS: The study confirmed given hypothesis. The obtained results can be used in "cost-utility"-based method of pharmacoeconomic analysis of different cervical screening strategies