Document Type

Article

Journal/Book Title/Conference

Journal of Obsessive-Compulsive and Related Disorders

Author ORCID Identifier

Emily M. Bowers https://orcid.org/0000-0002-7210-8454

Volume

43

Publisher

Elsevier BV

Publication Date

9-6-2024

Journal Article Version

Accepted Manuscript

First Page

1

Last Page

32

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

Abstract

Skin picking disorder is a chronic repetitive condition that impacts daily functioning and causes significant distress. Acceptance and commitment therapy (ACT) enhanced behavioral training (A-EBT) has shown promise in targeting skin picking symptoms but is not widely disseminated among providers. This study examines the efficacy and feasibility of an eight-week fully-automated online A-EBT program for skin picking disorder. Participants with skin picking disorder (N = 84) were randomized into either an online intervention (n = 43) or a waitlist control (n = 41). All participants completed self-report assessments at baseline, mid-, post-intervention, and 1-month follow-up. Analyses used multilevel linear modeling with the full intent-to-treat sample. Results demonstrated statistically stronger improvements from baseline to 1-month follow-up in the intervention condition compared to waitlist for skin picking symptoms (SMD=0.90), skin picking-related psychological flexibility (SMD=-0.82), and well-being (SMD=-0.31), with no significant effects on distress. Treatment effects were maintained at one-month follow-up, with 29.0% of intervention participants meeting responder status, compared to 0.1% of waitlist participants. High usability and acceptability scores provide preliminary evidence of its feasibility as a fully automated intervention. These findings suggest an automated online A-EBT program may be an effective and scalable treatment for individuals with skin picking disorder.

Available for download on Sunday, September 06, 2026

Share

COinS