This paper is in the following e-collection/theme issue:

Non-Randomized Study Protocols and Methods (Non-eHealth) (571)

Published on in Vol 8, No 1 (2019): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/12006, first published .
Development of the Gambling Disorder Identification Test (G-DIT): Protocol for a Delphi Method Study

Development of the Gambling Disorder Identification Test (G-DIT): Protocol for a Delphi Method Study

Development of the Gambling Disorder Identification Test (G-DIT): Protocol for a Delphi Method Study

Authors of this article:

Olof Molander1, 2 Author Orcid Image ;   Rachel Volberg3 Author Orcid Image ;   Kristina Sundqvist4 Author Orcid Image ;   Peter Wennberg4 Author Orcid Image ;   Viktor Månsson1, 2 Author Orcid Image ;   Anne H Berman1, 2, 4, 5 Author Orcid Image
Article Authors Cited by (8) Tweetations (1) Metrics

Journals

  1. Nor M. Developing a preliminary questionnaire for the faculty development programme needs of medical teachers using Delphi technique. Journal of Taibah University Medical Sciences 2019;14(6):495 View
  2. Molander O, Lindner P, Ramnerö J, Bjureberg J, Carlbring P, Berman A. Internet-based cognitive behavior therapy for problem gambling in routine care: protocol for a non-randomized pilot and feasibility trial. Pilot and Feasibility Studies 2020;6(1) View
  3. Molander O, Volberg R, Månsson V, Sundqvist K, Wennberg P, Berman A. Development of the Gambling Disorder Identification Test: Results from an international Delphi and consensus process. International Journal of Methods in Psychiatric Research 2021;30(2) View
  4. Molander O, Wennberg P, Berman A. The Gambling Disorders Identification Test (GDIT): Psychometric Evaluation of a New Comprehensive Measure for Gambling Disorder and Problem Gambling. Assessment 2023;30(1):225 View
  5. Molander O, Wennberg P. Assessing severity of problem gambling – confirmatory factor and Rasch analysis of three gambling measures. International Gambling Studies 2023;23(3):403 View
  6. Molander O, Wennberg P, Dowling N, Berman A. Assessing gambling disorder using frequency‐ and time‐based response options: A Rasch analysis of the gambling disorder identification test. International Journal of Methods in Psychiatric Research 2024;33(1) View
  7. Wall H, Wennberg P, Binde P, Molander O. Systematic Assessment of Gambling Type Involvement: Reliability and Validity of the Gambling Disorder Identification Test (GDIT). Journal of Gambling Studies 2024 View
  8. Wall H, Marionneau V, Lindqvist H, Molander O. Digitalisation of gambling harm? Gambling consumption, negative consequences, and clinical characteristics among Swedish help-seekers. Addictive Behaviors 2025;160:108182 View