Evidence map›Paper›PMID 38829701›Full record

ArticleJournal of behavioral addictions2024

Development of the Saini-Hodgins Addiction Risk Potential of Games (SHARP-G) Scale: An International Delphi study.

Nirav Saini, Cam Adair, Daniel L King, Daria J Kuss, Douglas A Gentile, Hyoun S Kim, Jeremy Edge, Joël Billieux, John Ng, Juliana P S Yun and 9 more

Abstract read
In one paragraph

Article in Journal of behavioral addictions, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Nirav Saini1Addictive Behaviours Lab, Faculty of Arts, University of Calgary, Calgary, Alberta, Canada.ORCID 0000-0002-1165-8727
Cam Adair3Game Quitters, Canada.
Daniel L King4College of Education, Psychology & Social Work, Flinders University, Adelaide, SA, Australia.ORCID 0000-0002-1762-2581
Daria J Kuss5International Gaming Research Unit and Cyberpsychology Research Group, NTU Psychology, Nottingham Trent University, NG1 4BU, United Kingdom.ORCID 0000-0001-8917-782X
Douglas A Gentile6Department of Psychology, Iowa State University, Ames, IA, United States.ORCID 0000-0002-5934-2860
Hyoun S Kim7Department of Psychology, University of Calgary, Calgary, AB, Canada.ORCID 0000-0002-0804-0256
Jeremy Edge8Escapingthe.com, United States.
Joël Billieux9Institute of Psychology, University of Lausanne, Lausanne, Switzerland.ORCID 0000-0002-7388-6194
John Ng11Independent Researcher.
Juliana P S Yun11Independent Researcher.
Lisa Henkel1Addictive Behaviours Lab, Faculty of Arts, University of Calgary, Calgary, Alberta, Canada.
Linda Faulcon11Independent Researcher.
Michelle Nogueira12Homewood Health Centre, The Residence, Guelph, Ontario, Canada.
Rune K L Nielsen13Department of Digital Design, Center for Digital Play, IT University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-7209-9041
Shannon Husk11Independent Researcher.
Shawn Rumble11Independent Researcher.
Trey R Becker11Independent Researcher.
Zsolt Demetrovics14Institute of Psychology, ELTE Eötvös Loránd University, Budapest, Hungary.ORCID 0000-0001-5604-7551
David C Hodgins1Addictive Behaviours Lab, Faculty of Arts, University of Calgary, Calgary, Alberta, Canada.ORCID 0000-0003-2737-5200

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objectives: As the gaming industry experiences exponential growth, concerns about gaming disorder (GD) also grow. It is crucial to understand the structural features of games that can interact with individual characteristics of gamers to promote GD. This research consolidates the views of an international body of panelists to create an assessment tool for gauging the addictive potential of distinct games. Methods: Utilizing the iterative and structured Delphi method, an international panel of researchers, clinicians, and people with lived experience were recruited to offer a multifaceted viewpoint on the addictive risk associated with specific structural elements in games. Two rounds of surveys facilitated consensus. Results: The panel initially included 40 members-ten from research, eight from clinical settings, and 22 with lived experiences. The second round included 27 panelists-seven from research, eight from clinical settings, and 11 with lived experiences. The study identified 25 structural features that contribute to potentially addictive gaming patterns. Discussion and Conclusions: Consensus was found for 25 features, which were distilled into a 23-item evaluation tool. The Saini-Hodgins Addiction Risk Potential of Games Scale (SHARP-G) consists of five overarching categories: 'Social,' 'Gambling-Like Features,' 'Personal Investment,' 'Accessibility,' and 'World Design.' SHARP-G yields a total score indicating level of addiction risk. A case study applying the scale to three games of differing perceived risk levels demonstrated that that score corresponded to game risk as expected. While the SHARP-G scale requires further validation, it provides significant promise for evaluating gaming experiences and products.

Indexed as

Behavior, AddictiveDelphi TechniqueVideo GamesAdultConsensusFemaleHumansInternet Addiction DisorderMaleRisk Assessmentaddiction risk assessmentDelphi methodgaming disorderstructural features

Identifiers

PMID38829701
PMCPMC11220801

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.