Prevalence and Recognition of Depressive Disorder in Three Medical Outpatient Departments of General Hospitals in Beijing, China
| Autor: | Meiyan Liu, Wen-pei Bai, Hong Ma, Rong-huan Jiang, Jing Wei, Chang Liu, Xiamin Wu, Shuxin Luan, Yanling He |
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| Rok vydání: | 2016 |
| Předmět: |
Adult
medicine.medical_specialty China Neurology MEDLINE Cardiology Hospital Departments Hospital Anxiety and Depression Scale Hospitals General Cohort Studies 03 medical and health sciences 0302 clinical medicine Physicians Outpatients medicine Prevalence Humans 030212 general & internal medicine Depression (differential diagnoses) Aged Depressive Disorder Depressive Disorder Major business.industry Gastroenterology Middle Aged medicine.disease 030227 psychiatry Psychiatry and Mental health Mood Family medicine Cohort Major depressive disorder Female Dysthymic Disorder business Cohort study |
| Zdroj: | The Journal of nervous and mental disease. 204(7) |
| ISSN: | 1539-736X |
| Popis: | This purpose of this study was to explore the prevalence and recognition of depressive disorders in cardiology, gastroenterology, and neurology outpatient departments of general hospitals. Patients screened with a Hospital Anxiety and Depression Scale score of 8 or higher were interviewed by psychiatrists using Mini-International Neuropsychiatric Interview (MINI). Prevalence of depressive disorders within the cohort was determined, sociodemographic data were analyzed for correlations to a depression diagnosis, and comparisons between the surveys and the clinical diagnosis were done to assess recognition of depressive disorders by physicians. Of the patients screened for this study (1552 cases), 12.8% were diagnosed with depressive disorders by MINI, with major depressive disorder, depression due to general medical conditions, and dysthymia having prevalence values of 10.8%, 1.4%, and 0.6%, respectively. As compared with MINI, physicians only recognized 27.6% of any of the depressive disorders. Among the complaints examined, both mood problems and sleeping problems predicted the probability of recognition. |
| Databáze: | OpenAIRE |
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