These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


PUBMED FOR HANDHELDS

Search MEDLINE/PubMed


  • Title: Admission-Based Prevalence of Schizophrenia, Schizoaffective Disorder and Bipolar I Disorder in a Catchment Area in Sinop, Turkey.
    Author: Binbay T, Arık Binbay D, Ulaş H, Alptekin K.
    Journal: Turk Psikiyatri Derg; 2016; 27(3):151-160. PubMed ID: 27711935.
    Abstract:
    OBJECTIVE: To provide registry-based prevalence estimates of schizophrenia, schizoaffective, and bipolar I (BPI) disorders in a defined area of Sinop, Turkey. MATERIAL AND METHODS: All patients that presented to primary and secondary health services over three year time (2009-2011) with diagnosis of psychotic disorder (F06.1, F06.2, F10.5, F12.5, F19.5, F20-29, F30-31, F32.3, F33.3, F39 in ICD-10) covering a population of 73,503 aged 15-64 were included via case registry systems. All accessed case records were pooled. Case ascertainment and diagnostic assessment were achieved through structured clinical interview for DSM-IV, phone interview, or farming a best-estimated diagnosis via records on registers. RESULTS: Registries provided 1,410 probable cases. The successful clinical reappraisal rate was 66.8% (n: 955) while, the final diagnoses were determined via phone interview or best-estimate diagnosis in the rest of the cases. Seven hundred twenty seven individuals were diagnosed with DSM-IV yielding a prevalence of 9.8 per 1,000 (95% confidence interval [CI]: 8.2-11.5). Registry-based prevalence of schizophrenia, schizoaffective disorder, BPI disorder, and depression with psychotic features were 3.6 (95% CI: 3.0-4.2), 1.1 (95% CI: 0.8-1.4), 2.7 (95% CI: 2.0-3.3), and 1.0 (95% CI: 0.6-1.3) per 1,000, respectively. CONCLUSION: Ten individuals per 1,000 adult persons admit for any disorder with psychotic symptoms. Registry-based prevalence estimates are lower than the lifetime prevalence estimates. However, analyses of administrative data appear to provide information needed for effectively plan and implement psychiatric services.
    [Abstract] [Full Text] [Related] [New Search]