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dc.contributor.authorKing, Daniel L
dc.contributor.authorChamberlain, Samuel R.
dc.contributor.authorCarragher, Natacha
dc.contributor.authorBillieux, Joël
dc.contributor.authorStein, Dan J.
dc.contributor.authorMueller, Kai
dc.contributor.authorPotenza, Marc
dc.contributor.authorRumpf, Hans Jürgen
dc.contributor.authorSaunders, John
dc.contributor.authorStarcevic, Vladan
dc.contributor.authorDemetrovics, Zsolt
dc.contributor.authorBrand, Matthias
dc.contributor.authorLee, Hae Kook
dc.contributor.authorSpada, Marcantonio
dc.contributor.authorLindenberg, Katajan
dc.contributor.authorWu, Anise M.S.
dc.contributor.authorLemenager, Tagrid
dc.contributor.authorPallesen, Stale
dc.contributor.authorAchab, Sophia
dc.contributor.authorHiguchi, Susumu
dc.contributor.authorFineberg, Naomi
dc.contributor.authorDelfabbro, Paul
dc.date.accessioned2020-02-19T01:18:17Z
dc.date.available2020-02-19T01:18:17Z
dc.date.issued2020-04-01
dc.identifier.citationKing , D L , Chamberlain , S R , Carragher , N , Billieux , J , Stein , D J , Mueller , K , Potenza , M , Rumpf , H J , Saunders , J , Starcevic , V , Demetrovics , Z , Brand , M , Lee , H K , Spada , M , Lindenberg , K , Wu , A M S , Lemenager , T , Pallesen , S , Achab , S , Higuchi , S , Fineberg , N & Delfabbro , P 2020 , ' Screening and assessment tools for gaming disorder: A comprehensive systematic review ' , Clinical Psychology Review , vol. 77 , 101831 . https://doi.org/10.1016/j.cpr.2020.101831
dc.identifier.issn0272-7358
dc.identifier.urihttp://hdl.handle.net/2299/22308
dc.description.abstractThe inclusion of gaming disorder (GD) as an official diagnosis in the ICD-11 was a significant milestone for the field. However, the optimal measurement approaches for GD are currently unclear. This comprehensive systematic review aimed to identify and evaluate all available English-language GD tools and their corresponding evidence. A search of PsychINFO, PsychArticles, ScienceDirect, Scopus, Web of Science, and Google Scholar identified 32 tools employed in 320 studies (N = 462,249 participants). The evaluation framework examined tools in relation to: (1) conceptual and practical considerations; (2) alignment with DSM-5 and ICD-11 criteria; (3) type and quantity of studies and samples; and (4) psychometric properties. The evaluation showed that GD instrumentation has proliferated, with 2.5 tools, on average, published annually since 2013. Coverage of DSM-5 and ICD-11 criteria was inconsistent, especially for the criterion of continued use despite harm. Tools converge on the importance of screening for impaired control over gaming and functional impairment. Overall, no single tool was found to be clearly superior, but the AICA-Sgaming, GAS-7, IGDT-10, IGDS9-SF, and Lemmens IGD-9 scales had greater evidential support for their psychometric properties. The GD field would benefit from a standard international tool to identify gaming-related harms across the spectrum of maladaptive gaming behaviors.en
dc.format.extent1132709
dc.language.isoeng
dc.relation.ispartofClinical Psychology Review
dc.subjectAssessment
dc.subjectBehavioral addiction
dc.subjectDSM-5
dc.subjectGaming disorder
dc.subjectICD-11
dc.subjectScreening
dc.subjectClinical Psychology
dc.subjectPsychiatry and Mental health
dc.titleScreening and assessment tools for gaming disorder: A comprehensive systematic reviewen
dc.contributor.institutionSchool of Life and Medical Sciences
dc.contributor.institutionDepartment of Clinical and Pharmaceutical Sciences
dc.contributor.institutionCentre for Health Services and Clinical Research
dc.contributor.institutionCognitive Neuropsychology
dc.contributor.institutionDepartment of Clinical, Pharmaceutical and Biological Science
dc.description.statusPeer reviewed
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=85080107889&partnerID=8YFLogxK
rioxxterms.versionofrecord10.1016/j.cpr.2020.101831
rioxxterms.typeJournal Article/Review
herts.preservation.rarelyaccessedtrue


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