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Cited by 25Eating Disorders and BehaviorsDigital Mental Health InterventionsNutrition, Health and Food Behavior

Treatment dropout in web-based cognitive behavioral therapy for patients with eating disorders

ter Huurne, Elke D., Postel, Marloes G., de Haan, Hein A., van der Palen, Job, DeJong, Cor A.J.·2017·Psychiatry Research
DOI 10.1016/j.psychres.2016.11.034
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Abstract

Treatment dropout is an important concern in eating disorder treatments as it has negative implications for patients' outcome, clinicians' motivation, and research studies. Our main objective was to conduct an exploratory study on treatment dropout in a two-part web-based cognitive behavioral therapy with asynchronous therapeutic support. The analysis included 205 female patients with eating disorders. Reasons for dropout, treatment experiences, and predictors of dropout were analyzed. Overall treatment dropout was 37.6%, with 18.5% early dropout (before or during treatment part 1) and 19.0% late dropout (after part 1 or during part 2). Almost half of the participants identified personal circumstances as reason for dropout. The other participants mostly reported reasons related to the online delivery or treatment protocol. Predictors of early dropout included reporting less vigor and smoking at baseline and a longer average duration per completed treatment module of part 1. Late dropout was predicted by reporting less vigor at baseline and uncertainty about recommendation of the treatment to others after completion of treatment part 1. Generally, the web-based treatment and online therapeutic support were evaluated positively, although dropouts rated the treatment as significantly less helpful and effective than completers did.

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  • This aligns with evidence suggesting early dropout in ED-focused online programs might be predicted by baseline characteristics that reflect more complex mental health presentations, affirming the need for additional support for such individuals, e.g., face-to-face CBT.

    “This aligns with evidence suggesting early dropout in ED-focused online programs might be predicted by baseline characteristics that reflect more complex mental health presentations (58), affirming the need for additional support for such individuals, e.g., face-to-face CBT (59).”

    From The acceptability, feasibility, and preliminary efficacy of a supported online self-help treatment program for binge-eating disorder (2023) · cites this paper as [58]

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Authors
ter Huurne, E. D., Postel, M. G., de Haan, H. A., van der Palen, J., & DeJong, C. A. J.
Affiliations
  • Nijmegen Institute for Scientist Practitioners in Addiction (NL)
  • Radboud University Nijmegen (NL)
ORCID
Postel, Marloes G.
Venue
Psychiatry Research
Publisher
Elsevier BV
Published
2017-01
Volume
247
Pages
182-193
ISSN
0165-1781 (ISSN-L)
DOI
10.1016/j.psychres.2016.11.034
OpenAlex
W2559260663
Cited by
25
References
53
Citations by year
2026: 4 · 2025: 3 · 2024: 1 · 2023: 3 · 2022: 5 · 2020: 4 · 2019: 1 · 2018: 2 · 2017: 2
FWCI
2.23
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • Psychiatry Research (publishedVersion)
  • PubMed (publishedVersion)
  • University of Twente Research Information (publishedVersion)
  • Radboud Repository (Radboud University) (submittedVersion)
  • University of Twente Research Information (submittedVersion)
Topics
  • Social Sciences › Psychology › Clinical Psychology › Eating Disorders and Behaviors
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Nursing › Nutrition and Dietetics › Nutrition, Health and Food Behavior
Keywords
treatment discontinuation, eating disorders, internet-based cognitive behavioral therapy, predictors of dropout, causes of dropout, online therapy, treatment completion, female patients, smoking
MeSH terms
Adult, Feeding and Eating Disorders, Female, Humans, Motivation, Patient Dropouts, Cognitive Behavioral Therapy, Internet

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