NUMERICAL EVALUATION OF THE EFFECTIVENESS OF PSYCHOSOCIAL REHABILITATIONBASED ON THE ALGORITHMS OF THE ANALYTICAL HIERARCHY PROCESS

Introduction The approach to evaluating the effectiveness of psychosocial rehabilitation (PSR) of mentally ill patients implies a multidimensional, hierarchical consideration of mental pathology with the inclusion of clinical and psychopathological, socio-environmental and personal indicators when setting goals and objectives of PSR.

Objectives Development of algorithms and models for evaluating the effectiveness of PSR taking into account: clinical, socio-demographic, psychological characteristics of the patient and the characteristics of the family environment, as well as factors of psychiatric care.

Methods Clinical, statistical, algorithms of the analytical hierarchy process (AHP) [1].

Results The main problem associated with the evaluation of the results of psychosocial rehabilitation is the incorrectness of processing rank information, since by definition ranks are not numbers, but labels, between which only the operations of equality ("equal") and order ("less-more") are defined. Numerical estimates of changes (before and after the PSR program) in the main areas of patient’s functioning disorders, such as motivation, cognition, compliance, coping strategies, family, skills and others, are proposed as particular criteria for evaluating the effectiveness of PSR.

Quantitative estimates for particular criteria are obtained on the basis of rank estimates, which are converted into numerical ones based on AHP algorithms [1].

Conclusions The developed approach opens up prospects for obtaining numerical, partial and integral estimates based on various rank scales, which are of interest from the point of view of forming criteria-indicators (markers) of the effectiveness of rehabilitation and psychotherapeutic measures.

1. Mitikhin V., Solokhina T. S.S. Korsakov Journal of Neurology and Psychiatry 2019(2):49-54. doi:10.17116/jnevro201911902149