Expert appraisal of criteria for assessing gaming disorder: an international Delphi study

Jesús Castro-Calvo, Daniel L. King, Dan J. Stein, Matthias Brand, Lior Carmi, Samuel R. Chamberlain, Zsolt Demetrovics, Naomi A. Fineberg, Hans Jürgen Rumpf, Murat Yücel, Sophia Achab, Atul Ambekar, Norharlina Bahar, Alexander Blaszczynski, Henrietta Bowden-Jones, Xavier Carbonell, Elda Mei Lo Chan, Chih Hung Ko, Philippe de Timary, Magali DufourMarie Grall-Bronnec, Hae Kook Lee, Susumu Higuchi, Susana Jimenez-Murcia, Orsolya Király, Daria J. Kuss, Jiang Long, Astrid Müller, Stefano Pallanti, Marc N. Potenza, Afarin Rahimi-Movaghar, John B. Saunders, Adriano Schimmenti, Seung Yup Lee, Kristiana Siste, Daniel T. Spritzer, Vladan Starcevic, Aviv M. Weinstein, Klaus Wölfling, Joël Billieux*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

159 Scopus citations

Abstract

Background and aims: Following the recognition of ‘internet gaming disorder’ (IGD) as a condition requiring further study by the DSM-5, ‘gaming disorder’ (GD) was officially included as a diagnostic entity by the World Health Organization (WHO) in the 11th revision of the International Classification of Diseases (ICD-11). However, the proposed diagnostic criteria for gaming disorder remain the subject of debate, and there has been no systematic attempt to integrate the views of different groups of experts. To achieve a more systematic agreement on this new disorder, this study employed the Delphi expert consensus method to obtain expert agreement on the diagnostic validity, clinical utility and prognostic value of the DSM-5 criteria and ICD-11 clinical guidelines for GD. Methods: A total of 29 international experts with clinical and/or research experience in GD completed three iterative rounds of a Delphi survey. Experts rated proposed criteria in progressive rounds until a pre-determined level of agreement was achieved. Results: For DSM-5 IGD criteria, there was an agreement both that a subset had high diagnostic validity, clinical utility and prognostic value and that some (e.g. tolerance, deception) had low diagnostic validity, clinical utility and prognostic value. Crucially, some DSM-5 criteria (e.g. escapism/mood regulation, tolerance) were regarded as incapable of distinguishing between problematic and non-problematic gaming. In contrast, ICD-11 diagnostic guidelines for GD (except for the criterion relating to diminished non-gaming interests) were judged as presenting high diagnostic validity, clinical utility and prognostic value. Conclusions: This Delphi survey provides a foundation for identifying the most diagnostically valid and clinically useful criteria for GD. There was expert agreement that some DSM-5 criteria were not clinically relevant and may pathologize non-problematic patterns of gaming, whereas ICD-11 diagnostic guidelines are likely to diagnose GD adequately and avoid pathologizing.

Original languageEnglish
Pages (from-to)2463-2475
Number of pages13
JournalAddiction
Volume116
Issue number9
DOIs
StatePublished - Sep 2021
Externally publishedYes

Funding

FundersFunder number
Australian Research Council
Australian Government
State of Connecticut Department of Mental Health and Addiction Services
Department of Industry, Innovation and Science, Australian Government
Department of Science and Technology, Ministry of Science and Technology, India
Connecticut Council on Problem Gambling
Ministry for Innovation and Technology
DIIS
Monash University
Wilson Foundation
Australian Defence Science and Technology
Magyar Tudományos Akadémia
Nemzeti Kutatási, Fejlesztési és Innovaciós Alap
National Health and Medical Research Council1117188, APP1117188
Wellcome Trust110 049/Z/15/Z
Nemzeti Kutatási Fejlesztési és Innovációs HivatalNKFIH‐1157‐8/2019‐DT, KKP126835
European Cooperation in Science and TechnologyCA16207

    Keywords

    • DSM
    • Delphi
    • ICD
    • diagnosis
    • gaming disorder
    • internet gaming disorder

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