Volume 13, Issue 2 (8-2007)                   IJPCP 2007, 13(2): 97-103 | Back to browse issues page

XML Persian Abstract Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

Pakravan M, Ghalebandi M, Alavi K, Afkham Ebrahimi A. Comparing Maudsley Obsessive-compulsive Inventory Usage with DSM-IV-based Structural Clinical Interview (SCID) to Detect Obsessive-compulsive Disorder in Patients with Schizophrenia. IJPCP 2007; 13 (2) :97-103
URL: http://ijpcp.iums.ac.ir/article-1-158-en.html
1- , E-mail: mpakravana@yahoo.com
Abstract:   (16433 Views)
 

Abstract

Objectives: This study plans to determine diagnostic features and the best cut-off point in Maudsley Obsessive-Compulsive Inventory for patients with schizophrenia.

Method: In a cross-sectional study, 96 inpatients (56 men and 40 women) with schizophrenia (based on DSM-IV diagnostic criteria) were selected from Iran Psychiatry Hospital (in Tehran) by convenient sampling and screened for Obsessive-Compulsive Disorder using standard clinical interview (SCID) and Maudsley Inventory.

Results: Based on the clinical interview, 47 patients (49%) were diagnosed to have obsessive-compulsive symptoms. In the Maudsley Inventory, 38 patients (40%) scored above the given cut-off point (score of 9). The sensitivity and specificity of the Maudsley Inventory were 74.5% and 93.9% respectively.

Conclusion: Despite the high specificity of Maudsley Inventory, the clinical interview is preferred over it because of higher sensitivity and the number of true-positive diagnoses.

Full-Text [PDF 271 kb]   (6785 Downloads)    
Type of Study: Original Research | Subject: Psychiatry and Psychology
Received: 2007/08/25 | Published: 2007/08/15

Add your comments about this article : Your username or Email:
CAPTCHA

Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

© 2024 CC BY-NC 4.0 | Iranian Journal of Psychiatry and Clinical Psychology

Designed & Developed by : Yektaweb