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Development of the Gambling Disorder Identification Test (G-DIT): Protocol for a Delphi Method Study.
Olof Molander1,2, Rachel Volberg3, Kristina Sundqvist4
1Centre for Psychiatry Research, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.
Researchers are developing the Gambling Disorder Identification Test (G-DIT) to measure gambling behavior, severity, and consequences. This new tool aims to standardize assessment in problem gambling research and clinical settings.
Area of Science:
- Psychiatry
- Psychology
- Public Health
Background:
- Problem gambling research lacks a unified instrument for assessing gambling behavior, severity, and negative impacts.
- Existing measures vary widely in their scope and application.
Purpose of the Study:
- To describe the development protocol for the Gambling Disorder Identification Test (G-DIT).
- The G-DIT is a 9- to 12-item multiple-choice scale designed to assess gambling consumption, symptom severity, and negative consequences.
- It is modeled after established instruments like the Alcohol Use Disorders Identification Test (AUDIT) and Drug Use Disorders Identification Test (DUDIT).
Main Methods:
- The G-DIT development involves four steps: item identification from existing measures, expert review via an online Delphi process, pilot testing, and psychometric evaluation.
- This protocol details steps 1 (item identification) and 2 (Delphi process), and step 3 (pilot testing).
- The final psychometric evaluation (step 4) will involve a large sample of individuals with and without problem gambling behaviors.
Main Results:
- As of October 2018, the initial three steps of the G-DIT development (item identification, Delphi process, and pilot testing) are completed.
- The fourth step, psychometric evaluation, is currently in progress.
Conclusions:
- The use of an online Delphi study enhances the face and construct validity of the G-DIT.
- The G-DIT is anticipated to become a standard outcome measure for problem gambling research.
- It is expected to function effectively as a tool for identifying problem gambling in clinical settings.
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