Complex (clinical-psychopathological and mathematical-statistical) approach to assessing the risk of social danger of persons with mental disorders

Автор: Makushkina O.A., Mugantseva L.A.

Журнал: Сибирский вестник психиатрии и наркологии @svpin

Рубрика: Пенитенциарная психиатрия

Статья в выпуске: 2 (91), 2016 года.

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The article presents the results of study that determined the potential social danger of patients with severe mental disorders. The technique of assessing the risk of dangerous behaviour, based on a complex use of clinical- psychopathological and mathematical-statistical methods to identify risk factors, their self-descriptiveness and prognostic coefficients is proposed. The high self-descriptiveness of factors has been identified: low level of education; the explosive, excitable, aggressive, antisocial personality structure in pre-illness period; behavioural disorder at childhood and adolescence; experienced exogenous organic adverse health events; family and home misery; alcohol and drug dependence; offensive behaviour in anamnesis; unemployment; noncompliance of the patient; and clinical-psychopathological characteristics of mental disorders: severe behavioural disorders, dissociality; emotional lability, paradoxicality, distortion of moral-ethical sense; chronic delusional and hallucinatory-delusional syndromes; severe progressive disease with significant impairment in cognitive and insight functions, emotional inadequacy. Their analysis will allow psychiatrists to obtain idea of the extent of potential social danger of the particular patient for the purpose to make a decision about the necessity of using special measures to prevent dangerous behaviour; to create effective individual programmes for psychosocial therapy and rehabilitation, comprehensive prevention of states of disadaptation and committing dangerous acts

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Social danger, mental patients, dangerous behaviour, dangerous actions, risk factors, risk assessment, prognostic factor, methods of risk assessment, prevention of dangerous behaviour

Короткий адрес: https://sciup.org/14295911

IDR: 14295911

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