Akademik Veri Yönetim Sistemi
KLINIK PSIKIYATRI DERGISI-TURKISH JOURNAL OF CLINICAL PSYCHIATRY, cilt.22, sa.2, ss.228-242, 2019 (ESCI)
In psychosomatic medicine, many medical and psychiatric diagnostic models proposed to detect psychological factors related to diseases. In this area, the most commonly used traditional classification system, Diagnostic and Statistical Manual of Psychiatric Disorders (DSM), has failed to distinguish somatic symptom clusters, subtype medical disorders, predict the burden of somatic syndromes, identify risk factors and to predict treatment outcomes. DCPR hasbeen developed to fill gaps in these areas and to separate large psychosurgical syndrome clusters at various clinics with the help of applicable tools., DCPR, created by a group of international researchers in 1995, diagnostic guide that evaluates the existence of one or more of the 12 psychosomatic syndromes of 58 items scored in the form of a yes/no response. In the literature, possible to find many different studies comparing the effects of diagnosis rates of DCPR and DSM-IV system on subclinical syndrome clusters, functioning, quality of life. The common results of the studies indicate that many psychological dimensions and abnormal disease behaviors that can not be diagnosed in the DSM-IV can be detected with the DCPR. In the new DSM-5, although there are significant changes in the criteria under the heading ' Somatic Symptoms and Related Disorders', many psychosomatic symptoms are not included. In addition, it offers an approach that focuses on categorization of diseases, rather than the approach that aims at influen cing the psychological factors on diseases. In clinical practice, we believe that the use of DCPR in combination with traditional classification systems such as DSM to determine the extent to which patients respond to the current disease process and physical symptom clusters and to determine many effective psychosocial dimensions. The aim of this article is recognize and distinguish the DCPR psychological symptom clusters, which have been neglected by traditional systems.