کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10303747 | 545613 | 2015 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Web-based phenotyping for Tourette Syndrome: Reliability of common co-morbid diagnoses
ترجمه فارسی عنوان
فنوتیپ های مبتنی بر وب برای سندرم تورنت: قابلیت اطمینان تشخیص های معمول مشترک
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
روانپزشکی بیولوژیکی
چکیده انگلیسی
Collecting phenotypic data necessary for genetic analyses of neuropsychiatric disorders is time consuming and costly. Development of web-based phenotype assessments would greatly improve the efficiency and cost-effectiveness of genetic research. However, evaluating the reliability of this approach compared to standard, in-depth clinical interviews is essential. The current study replicates and extends a preliminary report on the utility of a web-based screen for Tourette Syndrome (TS) and common comorbid diagnoses (obsessive compulsive disorder (OCD) and attention deficit/hyperactivity disorder (ADHD)). A subset of individuals who completed a web-based phenotyping assessment for a TS genetic study was invited to participate in semi-structured diagnostic clinical interviews. The data from these interviews were used to determine participants׳ diagnostic status for TS, OCD, and ADHD using best estimate procedures, which then served as the gold standard to compare diagnoses assigned using web-based screen data. The results show high rates of agreement for TS. Kappas for OCD and ADHD diagnoses were also high and together demonstrate the utility of this self-report data in comparison previous diagnoses from clinicians and dimensional assessment methods.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Psychiatry Research - Volume 228, Issue 3, 30 August 2015, Pages 816-825
Journal: Psychiatry Research - Volume 228, Issue 3, 30 August 2015, Pages 816-825
نویسندگان
Sabrina M. Darrow, Cornelia Illmann, Caitlin Gauvin, Lisa Osiecki, Crystelle A. Egan, Erica Greenberg, Monika Eckfield, Matthew E. Hirschtritt, David L. Pauls, James R. Batterson, Cheston M. Berlin, Irene A. Malaty, Douglas W. Woods, Jeremiah M. Scharf,