Perfectionism has been seen to predict treatment outcome and symptom severity in clinically relevant diagnoses such as depression and anxiety disorders. It has also been suggested to be a transdiagnostic phenomenon. The aim of this study was to investigate, for the first time, predictors of change in Internet-based cognitive behaviour therapy for perfectionism. The chosen predictors were perfectionism severity, comorbid diagnosis and degree of self-compassion. The study was a part of the Devin-project; a randomized controlled trial with 150 participants that were allocated to active treatment (N=73) or a waitlist condition (N=77). Multiple linear regression analysis was used for the analyses. Variables chosen a priori did not significantly predict the treatment outcome (R2=.10, p = .099). A post hoc-analysis showed that perfectionism severity, as measured with CPQ, predicted symptom change after treatment (B = .783, β = .56 p < .001). The results indicate that perfectionism severity doesn’t impair the treatment effects and that the treatment is effective, independent of comorbid diagnoses. Self-compassion was investigated on an explorative basis but the results can indicate that the variable is not a risk factor nor a protective factor for perfectionism. As Devin is the largest randomized controlled study of internet-based cognitive behaviour therapy for perfectionism to date, this study generates important implications and suggestions for future research. / Devin

Introduction  Research about health has become a very important part of the world today. Theres a constant need for new treatment methods and evidence. Recruitment is one of the most challenging parts of conducting a trial, especially in trials regarding mental health. The result of this is often a waste of money and resources in research. Method  This study is a systematic review and meta-analysis investigating the recruitment in randomized controlled trials on internet-based CBT interventions for depression.  Results  The recruitment rates were calculated as number of participants screened divided by number of participants randomized into the trial. The overall recruitment rates of all the trials was 54.3%. The analysis of the recruitment moderators shown that a clinical recruitment setting together with referral as recruitment personnel.