Cited by 81Gambling Behavior and TreatmentsDigital Mental Health InterventionsSubstance Abuse Treatment and Outcomes

Internet-based delivery of cognitive behaviour therapy compared to monitoring, feedback and support for problem gambling: a randomised controlled trial

Casey, Leanne M., Oei, Tian P. S., Raylu, Namrata, Horrigan, Katherine, Day, Jamin, Ireland, Michael, Clough, Bonnie A.·2017·Journal of Gambling Studies

Abstract

The aim of this study was to investigate the efficacy of an Internet-based cognitive behavioural therapy program (I-CBT) for the treatment of problem gambling, when compared to a waitlist control and an active comparison condition consisting of monitoring, feedback, and support (I-MFS). Participants (N = 174) were randomly allocated to the three conditions. Variables of interest were gambling outcome and related mental health measures. Participants in the active conditions (I-CBT and I-MFS) completed six online modules. Both I-CBT and I-MFS conditions resulted in significant treatment gains on gambling severity. However, I-CBT was also associated with reductions in a range of other gambling-related and mental health outcomes. Compared with I-MFS, I-CBT produced greater effects across seven outcomes measures, relating to gambling urges, cognitions, stress, and life satisfaction. I-CBT participants also rated the program as significantly more satisfactory. Treatment gains observed for both active conditions were found to be stable through to 12 month follow up. The results indicate that the benefits of I-CBT were more than simply the non-specific effects of engaging in online treatment or receiving motivation, feedback, and support. Online treatments for gambling may be a valuable tool in increasing help-seeking and treatment engagement in this population, and be integrated as part of stepped care approaches to treatment.

Integrity signals

Registry

Crossref · 10.1007/s10899-016-9666-y

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

The citation lists haven’t been fetched yet

References 30 · Cited by 81

Authors
Casey, L. M., Oei, T. P. S., Raylu, N., Horrigan, K., Day, J., Ireland, M., & Clough, B. A.
Affiliations
  • Griffith University (AU)
  • The University of Queensland (AU)
  • University of Southern Queensland (AU)
Corresponding author
Casey, Leanne M.
Venue
Journal of Gambling Studies
Published
2017-01-25
Volume
33
Issue
3
Pages
993-1010
ISSN
  • 1050-5350 (ISSN-L)
  • 1573-3602
OpenAlex
W2581748270
Cited by
81
References
30
Citations by year
2026: 3 · 2025: 5 · 2024: 6 · 2023: 9 · 2022: 9 · 2021: 14 · 2020: 11 · 2019: 11 · 2018: 4 · 2017: 6
FWCI
10.75
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Gambling Studies (publishedVersion)
  • PubMed (publishedVersion)
  • ResearchOnline - JCU (James Cook University) (submittedVersion)
  • Griffith Research Online (submittedVersion)
Funders
Department of Employment, Economic Development and Innovation, Queensland State Government, Australia
Topics
  • Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
  • Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
  • Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
Keywords
problem gambling, internet-based cognitive behavioral therapy, online therapy, gambling severity, gambling urges, gambling-related cognitions, stress, life satisfaction, treatment engagement, help-seeking, stepped care, mental health outcomes
MeSH terms
Adult, Cognition, Female, Gambling, Humans, Male, Mental Health, Middle Aged, Motivation, Cognitive Behavioral Therapy, Behavior, Addictive, Internet

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review