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About 70-80% of patients with somatic symptom disorder (SSD) visit the general medical hospital instead of psychiatric or other mental health settings. The current self-reporting questionnaires are neither sufficiently considering companioned anxiety or depression nor validated for monitor the treatment efficacy of such group. The Somatic Symptom Scale-China (SSS-CN) is developed due to the urging clinical demanding in general hospital. The study aims to investigate whether the SSS-CN could serve as a timely and practical instrument to detect SSD and assess the severity of the disorder.
Full description
One of the most common medical conditions seen in general hospital is somatic symptoms disorder (SSD). As the disorder is characterized by the prominent attention to somatic concerns, patients mainly present initially in medical rather than mental health care settings. The fifth edition of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5) is currently the "gold standard" for the diagnosis of SSD, but it is clinically hard to follow. Thus, It is more clinically practical to detect a disorder by self-administered questionnaires, that patients can score symptoms according to their own condition and severity in a short time. However, the current self-reporting questionnaires, such as the Patient Health Questionnaire-9 (PHQ-9), the Generalized Anxiety Disorder Scale-7 (GAD-7), and the Patient Health Questionnaire-15 (PHQ-15) are neither sufficiently considering companioned anxiety or depression nor validated for monitor the treatment efficacy of SSD patients.
The Somatic Symptom Scale-China (SSS-CN) is developed based on DSM-5 to assess SSD, and it is an abbreviated 20-item version of somatic symptoms that can be entirely self-administered by the patient, but its assessment value has not yet been widely tested. The study aims to investigate whether the SSS-CN could serve as a timely and practical instrument to detect SSD and assess the severity of the disorder.
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1,863 participants in 2 patient groups
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Meng Jiang, MD; Jialiang Mao, MD
Data sourced from clinicaltrials.gov
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