The review contains an analysis of the most commonly associated factors with the formation of patient satisfaction with medical care according to international and Russian studies. A comparison of demographic, medical, ethnic, social and institutional factors associated with the formation of patient satisfaction with the medical care provided by the results of international and Russian studies. The sample size contained more than 15,500 scientific publications placed in three search databases, eLibrary, PubMed and Cochrane library. The procedure of content analysis among publications was carried out to assess the frequency of mention of given words. The analysis of frequency of occurrence of publications was carried out by means of search algorithms put in search engines eLibrary. PubMed and Cochrane library, after which the results were processed by parametric statistics methods (StatPlus Pro 5 was used). The data were studied over «all-time» periods and at a three-year search depth. As a result, the most common factors were identified, such as: «personnel», «mental state», «institutional factors», «expecta tions», «attention», «diagnosis», «communications», «joint decisions» and «demographics». When comparing the data obtained in the Russian-language search engine eLibrary and English-language PubMed on the factors associated with the formation of patient satisfaction with medical care, specific differences were revealed. The method of research used in this work allows us to identify not only the factors affecting patient satisfaction, as well as the level of interest of researchers to certain aspects of the problem. It seems reasonable and justified to use, in relation to the peculiarities of the model of domestic health care, the identified factors for the development of patient satisfaction management programs, and in fact, for the implementation of effective quality management of medical care.

Introduction. Patient satisfaction with treatment is a rather urgent medical and social problem, the solution of which is important in improving the health of the nation. The results of training neural networks of various types for predicting patient satisfaction with treatment in a specialized rehabilitation clinic are presented. The objective. To assess the possibilities of using different types of neural networks in predicting the level of patient satisfaction based on basic information. Materials and methods. When training neural networks, basic information about patients was used: gender, age, marital status, living conditions, education, Smoking, disability and group, the age of the disease and the age of disability if it exists. The study involved 98 patients. Data on 78 of them were used to train the neural network, and 20 patients made up a group testing the accuracy of predictions. Results. The most accurate prediction was achieved with 12-hour training of a Bayesian neural network, which gives a forecast with an accuracy of 87%, with a standard error (0.74). Conclusion. Based on the data obtained, it is concluded that it is appropriate to predict the level of patient satisfaction with medical care before it is provided based on basic information about the patient.