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Development of the Gambling Disorder Identification Test (G-DIT): Protocol for a Delphi Method Study
Stockholm University, Faculty of Social Sciences, Department of Public Health Sciences, Centre for Social Research on Alcohol and Drugs (SoRAD). (REGAPS)ORCID iD: 0000-0002-5923-0092
Stockholm University, Faculty of Social Sciences, Department of Public Health Sciences, Centre for Social Research on Alcohol and Drugs (SoRAD). Karolinska Institutet, Sweden . (REGAPS)ORCID iD: 0000-0002-0013-2965
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Number of Authors: 62019 (English)In: JMIR Research Protocols, E-ISSN 1929-0748, Vol. 8, no 1, article id e12006Article in journal (Refereed) Published
Abstract [en]

Background: Research on the identification and treatment of problem gambling has been characterized by a wide range of outcome measures and instruments. However, a single instrument measuring gambling behavior, severity, and specific deleterious effects is lacking. Objective: This protocol describes the development of the Gambling Disorder Identification Test (G-DIT), which is a 9-to 12-item multiple-choice scale with three domains: gambling consumption, symptom severity, and negative consequences. The scale is analogous to the widely used Alcohol Use Disorders Identification Test (AUDIT) and the Drug Use Disorders Identification Test (DUDIT). Methods: The G-DIT is developed in four steps: (1) identification of items eligible for the G-DIT from a pool of existing gambling measures; (2) presentation of items proposed for evaluation by invited expert researchers through an online Delphi process and subsequent consensus meetings; (3) pilot testing of a draft of the 9- to 12-item version in a small group of participants with problem gambling behavior (n= 12); and (4) evaluation of the psychometric properties of the final G-DIT measure in relation to the existing instruments and self-reported criteria of the Diagnostic and Statistical Manual of Mental Disorders, 5th edition (DSM-5), among individuals with problem gambling and nonproblematic recreational gambling behaviors (n= 600). This protocol article summarizes step 1 and describes steps 2 and 3 in detail. Results: As of October 2018, steps 1-3 are complete, and step 4 is underway. Conclusions: Implementation of this online Delphi study early in the psychometric development process will contribute to the face and construct validity of the G-DIT. We believe the G-DIT will be useful as a standard outcome measure in the field of problem gambling research and serve as a problem-identification tool in clinical settings.

Place, publisher, year, edition, pages
2019. Vol. 8, no 1, article id e12006
Keywords [en]
consensus methods, Delphi technique, DSM-5, gambling, Gambling Disorder Identification Test, measurement, psychometrics, screening
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Public Health, Global Health and Social Medicine
Identifiers
URN: urn:nbn:se:su:diva-166624DOI: 10.2196/12006ISI: 000457502500035PubMedID: 30622097OAI: oai:DiVA.org:su-166624DiVA, id: diva2:1297552
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REGAPSAvailable from: 2019-03-20 Created: 2019-03-20 Last updated: 2025-02-21Bibliographically approved

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Molander, OlofSundqvist, KristinaWennberg, PeterMånsson, ViktorBerman, Anne H.

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