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      Internet-Delivered Cognitive Behavioral Therapy for Generalized Anxiety Disorder in Nationwide Routine Care: Effectiveness Study

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          Abstract

          Background

          Therapist-supported, internet-delivered cognitive behavioral therapy (iCBT) is efficacious for generalized anxiety disorder (GAD), but few studies are yet to report its effectiveness in routine care.

          Objective

          In this study, we aim to examine whether a new 12-session iCBT program for GAD is effective in nationwide routine care.

          Methods

          We administered a specialized, clinic-delivered, therapist-supported iCBT for GAD in 1099 physician-referred patients. The program was free of charge for patients, and the completion time was not predetermined. We measured symptoms with web-based questionnaires. The primary measure of anxiety was the GAD 7-item scale (GAD-7); secondary measures were, for pathological worry, the Penn State Worry Questionnaire and, for anxiety and impairment, the Overall Anxiety Severity and Impairment Scale.

          Results

          Patients completed a mean 7.8 (SD 4.2; 65.1%) of 12 sessions, and 44.1% (485/1099) of patients completed all sessions. The effect size in the whole sample for GAD-7 was large (Cohen d=0.97, 95% CI 0.88-1.06). For completers, effect sizes were very large (Cohen d=1.34, 95% CI 1.25-1.53 for GAD-7; Cohen d=1.14, 95% CI 1.00-1.27 for Penn State Worry Questionnaire; and Cohen d=1.23, 95% CI 1.09-1.37 for Overall Anxiety Severity and Impairment Scale). Noncompleters also benefited from the treatment. Greater symptomatic GAD-7–measured relief was associated with more completed sessions, older age, and being referred from private or occupational care. Of the 894 patients with a baseline GAD-7 score ≥10, approximately 421 (47.1%) achieved reliable recovery.

          Conclusions

          This nationwide, free-of-charge, therapist-supported HUS Helsinki University Hospital–iCBT for GAD was effective in routine care, but further research must establish effectiveness against other treatments and optimize the design of iCBT for GAD for different patient groups and individual patients.

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          Most cited references68

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          A brief measure for assessing generalized anxiety disorder: the GAD-7.

          Generalized anxiety disorder (GAD) is one of the most common mental disorders; however, there is no brief clinical measure for assessing GAD. The objective of this study was to develop a brief self-report scale to identify probable cases of GAD and evaluate its reliability and validity. A criterion-standard study was performed in 15 primary care clinics in the United States from November 2004 through June 2005. Of a total of 2740 adult patients completing a study questionnaire, 965 patients had a telephone interview with a mental health professional within 1 week. For criterion and construct validity, GAD self-report scale diagnoses were compared with independent diagnoses made by mental health professionals; functional status measures; disability days; and health care use. A 7-item anxiety scale (GAD-7) had good reliability, as well as criterion, construct, factorial, and procedural validity. A cut point was identified that optimized sensitivity (89%) and specificity (82%). Increasing scores on the scale were strongly associated with multiple domains of functional impairment (all 6 Medical Outcomes Study Short-Form General Health Survey scales and disability days). Although GAD and depression symptoms frequently co-occurred, factor analysis confirmed them as distinct dimensions. Moreover, GAD and depression symptoms had differing but independent effects on functional impairment and disability. There was good agreement between self-report and interviewer-administered versions of the scale. The GAD-7 is a valid and efficient tool for screening for GAD and assessing its severity in clinical practice and research.
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            A new look at the statistical model identification

            IEEE Transactions on Automatic Control, 19(6), 716-723
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              Estimating the Dimension of a Model

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                Author and article information

                Contributors
                Journal
                J Med Internet Res
                J Med Internet Res
                JMIR
                Journal of Medical Internet Research
                JMIR Publications (Toronto, Canada )
                1439-4456
                1438-8871
                March 2022
                24 March 2022
                : 24
                : 3
                : e29384
                Affiliations
                [1 ] Department of Psychiatry Helsinki University Hospital and University of Helsinki Helsinki Finland
                [2 ] Department of Psychology and Logopedics University of Helsinki Helsinki Finland
                Author notes
                Corresponding Author: Grigori Joffe grigori.joffe@ 123456hus.fi
                Author information
                https://orcid.org/0000-0001-9065-4347
                https://orcid.org/0000-0003-0746-2745
                https://orcid.org/0000-0002-2402-6956
                https://orcid.org/0000-0001-7485-4429
                https://orcid.org/0000-0003-1327-7757
                https://orcid.org/0000-0003-3555-9958
                https://orcid.org/0000-0002-0782-6812
                Article
                v24i3e29384
                10.2196/29384
                8990365
                35323119
                1fd1c2ec-0881-43f5-bdc7-7d114b223577
                ©Ville Ritola, Jari Olavi Lipsanen, Satu Pihlaja, Eero-Matti Gummerus, Jan-Henry Stenberg, Suoma Saarni, Grigori Joffe. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 24.03.2022.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

                History
                : 5 April 2021
                : 18 June 2021
                : 30 September 2021
                : 16 December 2021
                Categories
                Original Paper
                Original Paper

                Medicine
                cbt,icbt,cognitive behavioral therapy,routine care,generalized anxiety disorder,internet,web-based,digital health,mental health

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