Linear and nonlinear models with a high level of significance were obtained to assess the impact of socio-economic, health and demographic (population, life expectancy, migration, mortality) factors and resources of the service (primarily, manpower) on the dynamics of the main indicators (prevalence, incidence) of mental health of the population. In recent years, a decline in the prevalence and incidence of the Russian population is a consequence of the scarcity of mental health services, in particular, personnel resources.

The system analysis of the major conceptual models of mental health care - from the matrix model to models of the DSM-5 and RDoC, was carried out. Priorities and main AIM: of the research were specified. It has been shown that the Analytic Hierarchy Process should be used, along with traditional methods, to solve the addressed problems.

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Objectives. System analysis of the problem of evaluating the effectiveness of interaction between specialists of polyprofessional teams during psychosocial rehabilitation interventions Methods. Psychometric, sociological, system analysis methods and algorithms of the Analytical Hierarchy Process (AHP) [1, 2]. Results. The multiprofessional team consists of specialists with different skills, qualifications and positions in the management hierarchy. As a result, issues of leadership, subordination, and consensus lead to a loss of performance, both for individual members of these teams and for the teams themselves as a whole. As the main example [2], we consider the hierarchy corresponding to the problem of establishing a functional diagnosis of a patient within a multiprofessional team. It is established that the original complex hierarchy can always be divided into a set of simple hierarchies that model the main stages of the work of a multiprofessional team. The formation of procedures and algorithms for processing the results of expert information to assess the weight and consistency of decisions made by specialists is based on the AHP. Conclusions. Obtained on the basis of AHP numerical evaluation [1, 2], unlike the rank method can be used for any mathematical processing and the development of appropriate regression models assess the effectiveness of psychosocial treatment of employees, treatment methods, patient characteristics and environment. References. 1. 1. Mitikhin V.G, Solokhina T.A. Neurology Bulletin. 2020(1):30-33. doi.org/10.17816/nb16459; 2. Mitikhin V.G., Solokhina T.A. S.S. Korsakov Journal of Neurology and Psychiatry, 2019, 119(2): 49-54. doi:10.17116/jnevro201911902149

Objectives. Analysis of the main methods of psychosocial rehabilitation (PsR) and development of a systematic approach to the problem of evaluating its effectiveness. Methods. Psychometric, sociological, system analysis methods and algorithms of the Analytical Hierarchy Process (AHP) [1, 2]. Results. The analysis of problems that arise when evaluating the effectiveness of PsR, the choice of evaluation criteria and methodological tools that are most often used for this purpose. It is shown that for an objective assessment of the results of rehabilitation, it is necessary to take into account the hierarchical structure of both the assessment problems and the information to be processed. This information includes quantitative indicators (age, duration of illness, frequency of hospitalizations, results of neurobiological studies), as well as non-numeric (psychometric) indicators (severity of psychopathological symptoms, characteristics of compliance, social behavior, and the patient's environment). The proposed approach to assessing the effectiveness of PsR provides for the development of local and integral criteria for the effectiveness of rehabilitation, based on a multi-dimensional, hierarchical consideration of mental pathology using the AHP algorithms. Conclusions. When solving problems evaluation of the effectiveness of the PsR must use a systematic approach that allows to generate local and integral evaluation of the effectiveness of the PsR based on the individual program of rehabilitation and weightiness of the resulting estimates. References. 1. Solokhina T.A., Mitikhin V.G., Yastrebova V.V., Tiumenkova G.V. S.S. Korsakov Journal of Neurology and Psychiatry, 2019, 119(12): 154-161, 2. Mitikhin V.G., Solokhina T.A. S.S. Korsakov Journal of Neurology and Psychiatry, 2019, 119(2): 49-54. doi:10.17116/jnevro201911902149