Processing and analysis of the results questionnaires in the public health system

Aim of study. Develop methods and algorithms for data processing, transformation and analysis of survey results to increase the effectiveness of surveying and achieve greater reliability of results. Materials and methods. The following methods were used in the work: bibliographic; descriptive statistics; transformation of the output data of various measurement scales; regression analysis. The object of the study was methods of statistical processing, types of data obtained as a result of a questionnaire survey, options for converting data from one type of scale to another, methods of creating complex assessments and calculating criterion values. Results. Various tasks of statistical data processing are considered. It is proposed to consider the following as the main directions of data processing: description, comparison, connection, dependencies. The choice of adequate methods of statistical processing is determined by two main determinants: the direction of processing and the types of data, which include labels, binary variables, rank and quantitative. That is, the more options there are for data types, the more methods of mathematical processing can be considered adequate. To spread the spectrum of adequate processing methods, various options for converting any type of data into any other type are proposed. Methods of data transformation into an unnamed (dimensionless) form with possible further calculation of complex indicators are proposed. Several options for calculating criterion values of active factors are considered. Conclusions. Formulated correspondence of the methods of mathematical processing of survey results to the types of data obtained and the tasks of mathematical statistics corresponding to the tasks of scientific research. The use of the proposed information technology, which uses various methods of data rescaling - survey results, makes it possible to obtain data of any type of scales necessary for adequate mathematical processing. This transformation of data makes it possible to significantly expand the range of adequate mathematical methods that are used to solve public health problems with the help of a questionnaire. The method of quantitative determination of the criteria for the harmful or beneficial influence of the respondents’ lifestyle characteristics based on the results of the questionnaire was developed.