2014
DOI: 10.1002/erv.2336
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Predictors for Good Therapeutic Outcome and Drop‐out in Technology Assisted Guided Self‐Help in the Treatment of Bulimia Nervosa and Bulimia like Phenotype

Abstract: Technology assisted self-help can be recommended for patients with a high motivation to change, lower binge-eating frequency and lower depression scores.

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Cited by 33 publications
(22 citation statements)
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“…In terms of clinical predictors, our results showed an association between ED psychopathology and CBT outcome: The higher the ED psychopathology, the lower the probability of ED symptomatological remission. These results are in accordance with previous literature (Dakanalis, Colmegna, Riva, & Clerici, ; Lammers, Vroling, Ouwens, Engels, & van Strien, ; Vroling, Wiersma, Lammers, & Noorthoorn, ; Wagner et al, ) reporting that ED psychopathology, such as binge eating episodes and shape/weight concerns, are significant predictors of dropout, and high levels of body dissatisfaction are associated with poor outcomes. In addition, our results also showed that age played an important role in the prognosis of these disorders.…”
Section: Discussionsupporting
confidence: 93%
“…In terms of clinical predictors, our results showed an association between ED psychopathology and CBT outcome: The higher the ED psychopathology, the lower the probability of ED symptomatological remission. These results are in accordance with previous literature (Dakanalis, Colmegna, Riva, & Clerici, ; Lammers, Vroling, Ouwens, Engels, & van Strien, ; Vroling, Wiersma, Lammers, & Noorthoorn, ; Wagner et al, ) reporting that ED psychopathology, such as binge eating episodes and shape/weight concerns, are significant predictors of dropout, and high levels of body dissatisfaction are associated with poor outcomes. In addition, our results also showed that age played an important role in the prognosis of these disorders.…”
Section: Discussionsupporting
confidence: 93%
“…Within the past few years, several studies examined Internet‐based guided self‐help (GSH‐I) for eating disorders because of its potential to improve reach and dissemination of evidence‐based face‐to‐face treatment (e.g., Aardoom, Dingemans, & van Furth, ; Bauer & Moessner, ; de Zwaan et al, ; Kazdin, Fitzsimmons‐Craft, & Wilfley, ; König et al, ; Melioli et al, ; Wagner et al, ). Benefits of GSH‐I include the relative anonymity of the Internet, its widespread and unlimited availability, and thus low threshold for patients to access and complete psychological interventions (Schlegl, Bürger, Schmidt, Herbst, & Voderholzer, ; ter Huurne et al, ).…”
Section: Introductionmentioning
confidence: 99%
“…In order to detect a difference for the primary outcome (General Health Questionnaire, see Sepulveda, Lopez, Todd, et al, 2008) by calculating repeated measures analysis of variance (ANOVA; if the sphericity assumption is not met) at a 5% significance level with 0.88 power, carers of 40 patients per group are needed to detect medium effects (Faul, Erdfelder, Lang, & Buchner, 2007). We expect a dropout rate of about 17% (see Wagner et al, 2015). Therefore, we plan to include the carers of 48 patients per treatment arm, resulting in a total sample size of 144.…”
Section: Sample Size Calculationsmentioning
confidence: 99%