کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7262229 | 1472776 | 2015 | 6 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Predictors of dropout from internet-based self-help cognitive behavioral therapy for insomnia
ترجمه فارسی عنوان
پیش بینی های رها کردن از درمان مبتنی بر روان شناختی مبتنی بر اینترنت برای بی خوابی
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کلمات کلیدی
موضوعات مرتبط
علوم پزشکی و سلامت
پزشکی و دندانپزشکی
روانپزشکی و بهداشت روانی
چکیده انگلیسی
Dropout from self-help cognitive-behavioral therapy for insomnia (CBT-I) potentially diminishes therapeutic effect and poses clinical concern. We analyzed the characteristics of subjects who did not complete a 6-week internet-based CBT-I program. Receiver operator characteristics (ROC) analysis was used to identify potential variables and cutoff for predicting dropout among 207 participants with self-report insomnia 3 or more nights per week for at least 3 months randomly assigned to self-help CBT-I with telephone support (n = 103) and self-help CBT-I (n = 104). Seventy-two participants (34.4%) did not complete all 6 sessions, while 42 of the 72 (56.9%) dropped out prior to the fourth session. Significant predictors of non-completion are total sleep time (TST) â¥Â 6.82 h, Hospital Anxiety and Depression Scale depression score â¥Â 9 and Insomnia Severity Index score < 13 at baseline in this ranking order. Only TST ⥠5.92 h predicts early dropout. Longer TST and less severe insomnia predict dropout in this study of self-help CBT-I, in contrast to shorter TST as a predictor in 2 studies of face-to-face CBT-I, while greater severity of depression predicts dropout in both this study and a study of face-to-face CBT-I. Strategies for minimizing dropout from internet-based CBT-I are discussed.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Behaviour Research and Therapy - Volume 73, October 2015, Pages 19-24
Journal: Behaviour Research and Therapy - Volume 73, October 2015, Pages 19-24
نویسندگان
Wing-Fai Yeung, Ka-Fai Chung, Fiona Yan-Yee Ho, Lai-Ming Ho,