Abstract
IntroductionThe detection rate of somatic symptom disorder (SSD) in general hospitals is unsatisfactory. Self-report questionnaires that assess both somatic symptoms and psychological characteristics will improve the process of screening for SSD. The Somatic Symptom Scale-China (SSS-CN) questionnaire has been developed to meet this urgent clinical demand. The aim of this research is to validate the self-reported SSS-CN as a timely and practical instrument that can be used to identify SSD and to assess the severity of this disorder.Methods and analysisAt least 852 patients without organic disease but presenting physical discomfort will be recruited at a general hospital. Each patient will undergo aDiagnostic and Statistical Manual of Mental Disorders, 5th Edition(DSM-5)-guided physician diagnosis, including disease identification and severity assessment, as the reference standard. This research will compare the diagnostic performance of the SSS-CN for SSD, the Patient Health Questionnaire-15 (PHQ-15) and other SSD-related questionnaires. Statistical tests to measure the area under the curve (AUC) and volume under the surface of the receiver operating curve will be used to assess the accuracy of the SSD identification and the severity assessment, respectively. In addition to this standard diagnostic study, we will conduct follow-up investigations to explore the effectiveness of the SSS-CN in monitoring treatment effects.Ethics and disseminationEthical approval was obtained from the Renji Hospital Human Research Ethics Committee, approval number 2 015 016. The findings of this study will be disseminated via peer-reviewed journals and presented at international conferences.Trial registration numberNCT03513185.
Funder
National Science Fund for Distinguished Young Scholars
Shanghai Jiao Tong University
Shanghai Outstanding Academic Leaders Program
Shanghai Municipal Education Commission - Gaofeng Clinical Medicine Grant Support
Shanghai Pudong Health Development Center
Science and Technology Commission of Shanghai Municipality
Shanghai ShenKang Hospital Development Center
National Natural Science Foundation of China
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9 articles.
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