Innovative technology for assessing the level of compliance of mentally ill people

Abstract

To develop a technology for evaluating indicators of patient's compliance, taking into account clinical, socio-demographic, psychological characteristics of the patient and characteristics of the family environment, as well as factors of psychiatric care, based on appropriate compliance algorithms and models. The study included 107 patients (44 men and 63 women) with diagnoses of schizophrenia, schizoaffective and schizotypal disorders that met the criteria of ICD-10, as well as 105 members of their families. A set of 12 clinical and psychological questionnaires and scales was used for data collection. Clinical, statistical (correlation and regression analysis), system analysis methods, and the analytic hierarchy process were used. A technology for converting rank data into numerical information has been developed. The authors provide models for assessing compliance for groups of patients, which were selected based on awareness of the disease, syndromic characteristics, gender. An algorithm for evaluating the weighted, averaged prognosis (in %) of the patient's compliance level in the corresponding groups was developed. Examples of calculations for evaluating the prognosis of patient's compliance are given. The developed models for assessing the level of patient's compliance and the identified characteristics of patients, family environment and factors of psychiatric care that are important for compliance make it possible to increase the effectiveness of therapy, justify the choice of personal strategies for psychosocial and psychoeducational interventions, reduce the risk of re-hospitalization, and increase the level of social adaptation and quality of life of patients and their families.