کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7267260 | 1473042 | 2015 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Defining treatment response in trichotillomania: a signal detection analysis
ترجمه فارسی عنوان
تعریف پاسخ درمان در تریوتیلیوم: یک تجزیه و تحلیل تشخیص سیگنال
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کلمات کلیدی
موضوعات مرتبط
علوم پزشکی و سلامت
پزشکی و دندانپزشکی
روانپزشکی و بهداشت روانی
چکیده انگلیسی
The Massachusetts General Hospital Hairpulling Scale (MGH-HPS) and the NIMH Trichotillomania Severity Scale (NIMH-TSS) are two widely used measures of trichotillomania severity. Despite their popular use, currently no empirically-supported guidelines exist to determine the degrees of change on these scales that best indicate treatment response. Determination of such criteria could aid in clinical decision-making by defining clinically significant treatment response/recovery and producing accurate power analyses for use in clinical trials research. Adults with trichotillomania (NÂ =Â 69) participated in a randomized controlled trial of psychotherapy and were assessed before and after treatment. Response status was measured via the Clinical Global Impressions-Improvement Scale, and remission status was measured via the Clinical Global Impressions-Severity Scale. For treatment response, a 45% reduction or 7-point raw score change on the MGH-HPS was the best indicator of clinically significant treatment response, and on the NIMH-TSS, a 30-40% reduction or 6-point raw score difference was most effective cutoff. For disorder remission, a 55-60% reduction or 7-point raw score change on the MGH-HPS was the best predictor, and on the NIMH-TSS, a 65% reduction or 6-point raw score change was the best indicator of disorder remission. Implications of these findings are discussed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Anxiety Disorders - Volume 36, December 2015, Pages 44-51
Journal: Journal of Anxiety Disorders - Volume 36, December 2015, Pages 44-51
نویسندگان
David C. Houghton, Matthew R. Capriotti, Alessandro S. De Nadai, Scott N. Compton, Michael P. Twohig, Angela M. Neal-Barnett, Stephen M. Saunders, Martin E. Franklin, Douglas W. Woods,