Development and validation of gaming disorder and hazardous gaming scale (GDHGS) based on the WHO framework (ICD-11 criteria) of disordered gaming

Balhara, Yatan Pal Singh; Singh, Swarndeep; Saini, R.P.; Kattula, Dheeraj; Chukkali, Surekha; Bhargava, Rachna

doi:10.1016/j.ajp.2020.102348

Cited by 17 publications

(14 citation statements)

References 16 publications

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“…Additionally, each treating clinician will assess symptom expression, rate fulfillment of the ICD-11 criteria (based on criteria of GD), and diagnosis of a potential specific DMUD. They will be provided with a digital criterion checklist including examples to enhance interpretation based on ICD-11 suggestions, the clinical interview guideline of the Gaming Disorder and Hazardous Gaming Scale (GDHGS) ( 69 ), and clinical expert experience.…”

Section: Methods and Analysismentioning

confidence: 99%

An app-based training for adolescents with problematic digital-media use and their parents (Res@t digital): protocol for a cluster-randomized clinical trial

Paschke,

Diestelkamp,

Zapf

et al. 2024

Front. Psychiatry

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BackgroundDigital media-use disorders (DMUD) in adolescents are a rising phenomenon associated with psychological distress, comorbid mental disorders, and high burden on affected families. Since the ICD-11 introduced criteria for gaming disorder, these can now be transferred to describe additional DMUD associated with social media platforms and streaming services. Most evidence for effective treatments comes from cognitive-behavioral therapy (CBT). However, interventions based on theoretical models for adolescents and their parents are widely missing, leading to a significant clinical gap.MethodsRes@t digital (Resource-Strengthening Training for Adolescents with Problematic Digital-Media Use and their Parents) is the app-based translation of the first model-based digital intervention for adolescents with DMUD and their parents based on CBT. It comprises separate but content-related modules for adolescents (Res@t–A) and parents (Res@t–P), applying multimodal techniques. The effectiveness of Res@t will be evaluated within a multicenter cluster-randomized controlled evaluator-blinded pre–post follow-up trial with the waitlist control group (CG). In addition to the Res@t program in the intervention group, both groups will receive treatment as usual within primary child and adolescent psychiatric/psychotherapeutic healthcare. The primary outcome addresses DMUD symptom reduction after 10 weeks. Secondary outcomes are related to a reduction in psychological and family-related problems and an increase in parental self-efficacy. All outcomes will be assessed using standardized self-report measures. A total of 1,334 participating adolescent–parent dyads from a large clinical network throughout Germany are planned to be included in the primary analyses based on an intention-to-treat approach, applying linear mixed models.DiscussionAssuming superiority of Res@t over the control condition, the intervention has the potential to provide evidence-based treatment for a significant number of help-seeking families, supporting local healthcare structures and resources. It is a promising program for practicable implementation and flexible use in different settings.Clinical trial registrationhttps://drks.de, DRKS00031043.

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Section: Methods and Analysismentioning

confidence: 99%

An app-based training for adolescents with problematic digital-media use and their parents (Res@t digital): protocol for a cluster-randomized clinical trial

Paschke,

Diestelkamp,

Zapf

et al. 2024

Front. Psychiatry

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“…In one of the updates of ICD‐11 (1/2023) several “additional features” of GD have been added, for instance: increased duration or frequency of gaming, craving, or exhibition of adversarial behavior or aggression. It is yet to be seen whether the addition of the new features, given the absence of unified measures, will lead to the development of multiple new screening scales (GDT, Pontes et al., 2019 ; GADIS‐A, Paschke et al., 2020 ; GDHGS, Balhara et al., 2020 ; GAMES test, Higuchi et al., 2021 ; LMGDQ, Lee et al., 2022 ; GDSS, Lyu et al., 2022 ; GDSQ, Zhang et al., 2022 ) as we have seen with the DSM‐5 (King, Billieux, et al., 2020 ).…”

Section: Introductionmentioning

confidence: 99%

Network analysis of additional clinical features of (Internet) gaming disorder

Martončik,

Adamkovič,

Ropovik

2024

Int J Methods Psych Res

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ObjectivesThere are dozens of screening instruments purporting to measure the (Internet) gaming disorder (IGD/GD). The two prominent diagnostic manuals, DSM‐5 and ICD‐11, list several additional diagnostic or clinical features and problems (e.g., neglect of sleep, neglect of daily duties, health deterioration) that should co‐occur or be caused by the IGD/GD. It remains unclear how specific IGD/GD operationalizations (different screening scales) are related to these functional impairments.MethodsTo explore this, data on six measures of IGD/GD (IGDS9‐SF, GDSS, GDT, GAMES test, two self‐assessments) and 18 additional diagnostic features were collected from a sample of 1009 players who play digital games at least 13 h per week. A network approach was utilized to determine which operationalization is most strongly associated with functional impairment.ResultsIn most of the networks, IGD/GD consistently emerged as the most central node.ConclusionThe similar centrality of IGD/GD, irrespective of its definition (DSM‐5 or ICD‐11) or operationalization, provides support for the valid comparison or synthesis of results from studies that used instruments coming from both DSM‐5 and ICD‐11 ontologies, but only if the goal is to evaluate IGD/GD relationships to other phenomena, not the relationships between the symptoms themselves.

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“…The Ten-Item Internet Gaming Disorder Test (IGDT-10; Király et al, 2017 ) currently seems to adequately capture the DSM-5 criteria but overall none of the instruments appeared to be clearly preferable ( King et al, 2020 ). Recently, a number of scales were introduced as first screening instruments capturing the ICD-11 criteria for gaming disorder ( Balhara et al, 2020 ; Higuchi et al, 2021 ; Jo et al, 2020 ; Paschke, Austermann, & Thomasius, 2020 ; Pontes et al, 2021 ) as well as for social-networks-use disorder ( Paschke, Austermann, & Thomasius, 2021 ). In general, it could be assumed that not each symptom is necessarily experienced equally, for example, equally often or equally intensively.…”

Section: Introductionmentioning

confidence: 99%

Assessment of Criteria for Specific Internet-use Disorders (ACSID-11): Introduction of a new screening instrument capturing ICD-11 criteria for gaming disorder and other potential Internet-use disorders

Müller

Wegmann

Oelker

et al. 2022

JBA

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Background and aims With the inclusion of gaming disorder in the ICD-11, diagnostic criteria were introduced for this relatively new disorder. These criteria may also be applied to other potential specific Internet-use disorders, which may be classified in ICD-11 as other disorders due to addictive behaviors, such as online buying-shopping disorder, online pornography-use disorder, social-networks-use disorder, and online gambling disorder. Due to the heterogeneity in existing instruments, we aimed to develop a consistent and economic measure of major types of (potential) specific Internet-use disorders based on ICD-11 criteria for gaming disorder. Methods The new 11-item Assessment of Criteria for Specific Internet-use Disorders (ACSID-11) measures five behavioral addictions with the same set of items by following the principles of WHO’s ASSIST. The ACSID-11 was administered to active Internet users (N = 985) together with an adaptation of the Ten-Item Internet Gaming Disorder Test (IGDT-10) and screeners for mental health. We used Confirmatory Factor Analyses to analyze the factor structure of ACSID-11. Results The assumed four-factorial structure was confirmed and was superior to the unidimensional solution. This applied to gaming disorder and to the other specific Internet-use disorders. ACSID-11 scores correlated with IGDT-10 as well as with the measures of psychological distress. Discussion and Conclusions The ACSID-11 seems to be suitable for the consistent assessment of (potential) specific Internet-use disorders based on ICD-11 diagnostic criteria for gaming disorder. The ACSID-11 may be a useful and economic instrument for studying various behavioral addictions with the same items and improving comparability.

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Development and validation of gaming disorder and hazardous gaming scale (GDHGS) based on the WHO framework (ICD-11 criteria) of disordered gaming

Cited by 17 publications

References 16 publications

An app-based training for adolescents with problematic digital-media use and their parents (Res@t digital): protocol for a cluster-randomized clinical trial

An app-based training for adolescents with problematic digital-media use and their parents (Res@t digital): protocol for a cluster-randomized clinical trial

Network analysis of additional clinical features of (Internet) gaming disorder

Assessment of Criteria for Specific Internet-use Disorders (ACSID-11): Introduction of a new screening instrument capturing ICD-11 criteria for gaming disorder and other potential Internet-use disorders

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