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      Internet-based cognitive behavioral therapy of perfectionism: Comparing regular therapist support and support upon request

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          Abstract

          Perfectionism may be a clinically relevant problem on its own or as part of the etiology and maintenance of psychiatric disorders, e.g., anxiety disorders, depression, and eating disorders. Cognitive behavior therapy has been shown to be a promising treatment for managing perfectionism and its associated problems, including when being administered via the Internet, i.e., Internet-based cognitive behavioral therapy (ICBT). In the current study, seventy-eight self-referred participants underwent ICBT after an initial eight-week wait-list period, i.e., second wave of treatment. These were randomized to receive regular support from a therapist (ICBT-support) or ICBT with support on request (ICBT-request), in an eight-week treatment of perfectionism. Assessments of perfectionism were made at pre-, mid-, and post-treatment, as well as six-month follow-up, using the Frost Multidimensional Perfectionism Scale, subscale Concern over Mistakes. Mixed effects models revealed large symptom reductions for both conditions; Concern over Mistakes, Cohen's d = 1.40, 95% Confidence Interval (CI) [0.85, 1.95] for ICBT-support, and d = 1.00, 95% CI [0.51, 1.47] for ICBT-request. The effects were maintained at six-month follow-up and there were no differences between the conditions in terms of the results, opened modules, or completed exercises. A total of 28 out of 70 participants (42.4%; ICBT-support, 37.8%; ICBT-request) were classified as improved at post-treatment. Both types of ICBT may thus be beneficial in treating perfectionism, suggesting that just having the opportunity to ask for support from a therapist, when regular support is not provided, could be sufficient for many participants undergoing ICBT. However, the study was underpowered to detect differences between the conditions. The lack of a cutoff also makes it difficult to differentiate a dysfunctional from a functional population in terms of perfectionism. In addition, the study design could have affected the participants' motivational level from start, given their initial eight-week wait-list period. Recommendations for future studies include recruiting a larger sample size, a clearer cutoff for perfectionism, and the use of a non-inferiority test with a predetermined margin of change.

          Highlights

          • Internet-based cognitive behavioral therapy is effective in treating perfectionism.

          • Overall, participants completed 5.39 (SD = 2.88) out of eight treatment modules.

          • No differences were observed between different types of support, i.e., regular support versus support on request.

          • Only 27% of the participants in the support on request condition actively sought contact with their therapist during treatment.

          • A total of 42.4% receiving regular support were classified as improved, as compared to 37.8% in support on request.

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          Most cited references37

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          Construction and factorial validation of a short form of the Self-Compassion Scale.

          The objective of the present study was to construct and validate a short-form version of the Self-Compassion Scale (SCS). Two Dutch samples were used to construct and cross-validate the factorial structure of a 12-item Self-Compassion Scale-Short Form (SCS-SF). The SCS-SF was then validated in a third, English sample. The SCS-SF demonstrated adequate internal consistency (Cronbach's alpha ≥ 0.86 in all samples) and a near-perfect correlation with the long form SCS (r ≥ 0.97 all samples). Confirmatory factor analysis on the SCS-SF supported the same six-factor structure as found in the long form, as well as a single higher-order factor of self-compassion. The SCS-SF thus represents a reliable and valid alternative to the long-form SCS, especially when looking at overall self-compassion scores. Copyright © 2010 John Wiley & Sons, Ltd.
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            Advantages and limitations of Internet-based interventions for common mental disorders.

            Several Internet interventions have been developed and tested for common mental disorders, and the evidence to date shows that these treatments often result in similar outcomes as in face-to-face psychotherapy and that they are cost-effective. In this paper, we first review the pros and cons of how participants in Internet treatment trials have been recruited. We then comment on the assessment procedures often involved in Internet interventions and conclude that, while online questionnaires yield robust results, diagnoses cannot be determined without any contact with the patient. We then review the role of the therapist and conclude that, although treatments including guidance seem to lead to better outcomes than unguided treatments, this guidance can be mainly practical and supportive rather than explicitly therapeutic in orientation. Then we briefly describe the advantages and disadvantages of treatments for mood and anxiety disorders and comment on ways to handle comorbidity often associated with these disorders. Finally we discuss challenges when disseminating Internet interventions. In conclusion, there is now a large body of evidence suggesting that Internet interventions work. Several research questions remain open, including how Internet interventions can be blended with traditional forms of care. Copyright © 2014 World Psychiatric Association.
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              Move over ANOVA: progress in analyzing repeated-measures data and its reflection in papers published in the Archives of General Psychiatry.

              The analysis of repeated-measures data presents challenges to investigators and is a topic for ongoing discussion in the Archives of General Psychiatry. Traditional methods of statistical analysis (end-point analysis and univariate and multivariate repeated-measures analysis of variance [rANOVA and rMANOVA, respectively]) have known disadvantages. More sophisticated mixed-effects models provide flexibility, and recently developed software makes them available to researchers. To review methods for repeated-measures analysis and discuss advantages and potential misuses of mixed-effects models. Also, to assess the extent of the shift from traditional to mixed-effects approaches in published reports in the Archives of General Psychiatry. The Archives of General Psychiatry from 1989 through 2001, and the Department of Veterans Affairs Cooperative Study 425. Studies with a repeated-measures design, at least 2 groups, and a continuous response variable. The first author ranked the studies according to the most advanced statistical method used in the following order: mixed-effects model, rMANOVA, rANOVA, and end-point analysis. The use of mixed-effects models has substantially increased during the last 10 years. In 2001, 30% of clinical trials reported in the Archives of General Psychiatry used mixed-effects analysis. Repeated-measures ANOVAs continue to be used widely for the analysis of repeated-measures data, despite risks to interpretation. Mixed-effects models use all available data, can properly account for correlation between repeated measurements on the same subject, have greater flexibility to model time effects, and can handle missing data more appropriately. Their flexibility makes them the preferred choice for the analysis of repeated-measures data.
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                Author and article information

                Contributors
                Journal
                Internet Interv
                Internet Interv
                Internet Interventions
                Elsevier
                2214-7829
                11 February 2019
                September 2019
                11 February 2019
                : 17
                : 100237
                Affiliations
                [a ]Department of Psychology, Stockholm University, Stockholm, Sweden
                [b ]Department of Psychology, University of Southern Denmark, Odense, Denmark
                [c ]Department of Behavioural Sciences and Learning, Linköping University, Linköping, Sweden
                [d ]Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
                [e ]Institute of Child Health, University College London, London, England, United Kingdom of Great Britain and Northern Ireland
                Author notes
                [* ]Corresponding author at: Department of Psychology, University of Southern Denmark, Odense, Denmark. per.carlbring@ 123456psychology.su.se
                Article
                S2214-7829(18)30082-4 100237
                10.1016/j.invent.2019.02.001
                6403448
                30891422
                10e86cb7-1a79-41d3-b13d-3dbfdacaa667
                © 2019 The Authors

                This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

                History
                : 21 November 2018
                : 7 February 2019
                : 8 February 2019
                Categories
                Article

                perfectionism,cognitive behavioral therapy,internet,randomized controlled trial,support

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