کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10307434 | 547894 | 2014 | 5 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Testing a modification of cognitive adaptation training: Streamlining the model for broader implementation
ترجمه فارسی عنوان
تست یک اصلاح آموزش تطبیقی شناختی: ساده سازی مدل برای پیاده سازی وسیع تر
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کلمات کلیدی
آموزش انطباق شناختی، شناخت، جنون جوانی، کارکردن نتیجه
موضوعات مرتبط
علوم زیستی و بیوفناوری
علم عصب شناسی
علوم اعصاب رفتاری
چکیده انگلیسی
Cognitive adaptation training (CAT) is a home-based, manualized treatment that utilizes environmental supports to improve target behaviors and functional outcomes in persons with schizophrenia. Although clinical trials have shown CAT to be effective across functional, clinical, and treatment adherence domains, when the intervention is withdrawn clients experience significant declines. The aim of the current study was to test a modified version of CAT, which decreases the duration of intensive CAT intervention while utilizing ongoing case management-supported CAT to maintain the fundamental components of the treatment. Twenty-three people participated in an outcome study of the modified version of CAT, evaluating improvements after 4Â months of CAT specialist intervention and after an additional 5Â months of case manager support. Analysis revealed significant improvements in adaptive functioning, psychiatric symptomatology, and goal attainment, which were maintained throughout case management follow-up. This suggests that an intervention that has previously demonstrated good functional outcomes in randomized trials might sustain its impacts in an abbreviated format with support from existing case managers.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Schizophrenia Research - Volume 156, Issue 1, June 2014, Pages 46-50
Journal: Schizophrenia Research - Volume 156, Issue 1, June 2014, Pages 46-50
نویسندگان
Sean A. Kidd, Yarissa Herman, Skye Barbic, Rohan Ganguli, Tony P. George, Sabrina Hassan, Kwame McKenzie, Natalie Maples, Dawn Velligan,