Hostname: page-component-78c5997874-v9fdk Total loading time: 0 Render date: 2024-11-05T12:41:43.436Z Has data issue: false hasContentIssue false

The predictive role of insight for the evolution of the disease in Romanian patients diagnosed with schizophrenia

Published online by Cambridge University Press:  23 March 2020

C.A. Crisan
Affiliation:
UMF “Iuliu Hatiegan” Cluj-Napoca, Department of Neurosciences, Cluj-Napoca, Romania
S. Pintea
Affiliation:
Babes-Bolyai University, Faculty of Psychology and Educational Sciences, Clinical Psychology and Psychotherapy Department, Cluj-Napoca, Romania
I. Miclutia
Affiliation:
UMF “Iuliu Hatiegan” Cluj-Napoca, Department of Neurosciences, Cluj-Napoca, Romania
R. Macrea
Affiliation:
Psychiatry Clinic II, Adult PsychiatryRomania

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

Schizophrenia is a serious disorder that influences all life aspects of the patients. The most important goals in schizophrenia are remission, recovery, improving psychosocial functioning and quality of life, which can be influenced by different factors, especially insight.

Objectives

To evaluate the awareness of illness in Romanian patients diagnosed with schizophrenia and to determine the predictive role of insight.

Aims

This study wants to highlight the importance of the evaluation of insight in psychotic patients, taking into account that awareness leads to compliance with treatment, decreased rate of relapses and rehospitalization and a better prognosis.

Material and methods

Overall, 80 patients (44 males and 36 females) recruited from first and second psychiatric clinic Cluj-Napoca, diagnosed according to ICD-10 and DSM-V criteria with schizophrenia and acute psychotic disorder participated in this study. A semi-structured interview collected demographical data. Psychotic symptoms were evaluated using PANSS, severity of the disease using CGI and insight using SUMD.

Results

Our results showed that the most important predictive factors for the evolution were: level of insight (r = −0.41 P < 0.01), presence of family history (r = 0.24 P < 0.05) and belonging to urban areas (r = 0.23 P < 0.05). The level of insight explained 16% of variance of improving psychotic symptoms during hospitalization.

Conclusions

The awareness of illness is one of the predictive factors for long-term schizophrenia and the best predictive model of disease progression is composed of variables SUMD total and PANSS total on admission.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

Type
e-Poster Viewing: Schizophrenia and other psychotic disorders
Copyright
Copyright © European Psychiatric Association 2017
Submit a response

Comments

No Comments have been published for this article.