Cited by 97Impact of Technology on AdolescentsGambling Behavior and TreatmentsSexuality, Behavior, and Technology

Internet Gaming Disorder Treatment: A Case Study Evaluation of Four Different Types of Adolescent Problematic Gamers

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Torres-Rodríguez, Alexandra, Griffiths, Mark D., Carbonell, Xavier, Farriols-Hernando, Núria, Torres-Jimenez, Encarna·2019·International Journal of Mental Health and Addiction

Abstract

Research examining Internet Gaming Disorder (IGD) has grown markedly in recent years. However, research on its psychological treatment is still scarce, especially with respect to efficacy of specific programs. The PIPATIC (Programa Individualizado Psicoterapéutico para la Adicción a las Tecnologías de la Información y la Comunicación) program is a 22-session specialized treatment for adolescents with IGD. The present paper briefly outlines the cases of four treatment-seeking male adolescents aged between 13 and 18 years with different clinical IGD profiles undergoing the treatment. A case study using an A-B-A’ withdrawal design was conducted. After completing the PIPATIC program, all participants showed clinical improvement in the amount of time spent using video games and in the symptoms of IGD. Results also demonstrated they received lower scores on clinical tests related to comorbid disorders. In an area with so few studies relating to IGD treatment, the present study is of existential value and contributes clinical information concerning the treatment of IGD in treatment-seeking adolescent patients.

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  • PIPATIC has been effective in reducing addiction and ensuring reintegration into the community in patients diagnosed with internet gaming disorder.

    “PIPATIC has been effective in reducing addiction and ensuring reintegration into the community in patients diagnosed with internet gaming disorder (31, 32).”

    From Reaching hidden youth in Singapore through the Hidden Youth Intervention Program: A biopsychosocial approach integrating mental health and social work interventions (2023) · cites this paper as [32]

    The Results (page unavailable) report that IGD scores improved in four treated adolescents and remained stable three months later; school, social-problem, and family-conflict scores also improved. These findings support reduced gaming-disorder symptoms, but they do not establish that PIPATIC ensured reintegration into the community, or demonstrate effectiveness beyond the four cases studied. (LLM, conf=0.87)

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Research works printed but not linked: 38

  1. Alresheed, F., Hott, B. L., & Bano, C. (2013). Single subject research: A synthesis of analytic methods. Journal of Special Education Apprenticeship, 2(1), 1-18.
  2. American Psychiatric Association. (2013). DSM-5: Diagnostic and statistical manual of mental disorders (5th ed.). Washington, DC: American Psychiatric Association.
  3. Beranuy, M., Carbonell, X., & Griffiths, M. (2012). A qualitative analysis of online gaming addicts in treatment. International Journal of Mental Health and Addiction, 11(2), 149-161. https://doi.org/10.1007/s11469-012- 9405-2. · DOI
  4. Brunborg, G. S., Mentzoni, R. A., & Frøyland, L. R. (2014). Is video gaming, or video game addiction, associated with depression, academic achievement, heavy episodic drinking, or conduct problems? Journal of Behavioral Addictions, 3(1), 27-32. https://doi.org/10.1556/JBA.3.2014.002. · DOI · Paper page
  5. Byiers, B. J., Reichle, J., & Symons, F. J. (2012). Single-subject experimental design for evidence-based practice. American Journal of Speech-Language Pathology, 21(4), 397-414. https://doi.org/10.1044/1058-0360(2012 /11-0036). · DOI
  6. Carroll, K. M., & Nuro, K. F. (2002). One size cannot fit all: A stage model for psychotherapy manual development. Clinical Psychology: Science and Practice, 9(4), 396-406.
  7. Chamarro, A., Carbonell, X., Manresa, J. M., Munoz-Miralles, R., Ortega-Gonzalez, R., López-Morron, M. R., et al. (2014). The questionnaire of experiences associated with video games (CERV): An instrument to detect the problematic use of video games in Spanish adolescents. Adicciones, 26(26), 303-311.
  8. Corbella, S., & Botella, L. (2004). Psychometric properties of the Spanish version of the Working Alliance Theory of Change Inventory (WATOCI). Psicothema, 16(4), 702-705.
  9. Derogatis, L. R. (1996). SCL-90-R: Symptom Checklist-90-R: Administration, scoring, and procedures manual. Minneapolis: NCS Pearson.
  10. Fuster, H., Carbonell, X., Pontes, H. M., & Griffiths, M. D. (2016). Spanish validation of the Internet Gaming Disorder (IGD-20) Test. Computers in Human Behavior, 56, 215-224. https://doi.org/10.1016/j. chb.2015.11.050. · DOI
  11. Griffiths, M. D. (2010). The role of context in online gaming excess and addiction: Some case study evidence. International Journal of Mental Health and Addiction, 8(1), 119-125. https://doi.org/10.1007/s11469-009- 9229-x. · DOI · Paper page
  12. Griffiths, M. D. (2015). Problematic technology use during adolescence: Why don't teenagers seek treatment? Education and Health, 33(1), 6-9.
  13. Griffiths, M. D., Kuss, D. J., Billieux, J., & Pontes, H. M. (2016a). The evolution of internet addiction: A global perspective. Addictive Behaviors, 53, 193-195. https://doi.org/10.1016/j.addbeh.2015.11.001. · DOI
  14. Griffiths, M. D., van Rooij, A. J., Kardefelt-Winther, D., Starcevic, V., Király, O., Pallesen, S., et al. (2016b). Working towards an international consensus on criteria for assessing internet gaming disorder: A critical commentary on Petry et al. (2014). Addiction, 111(1), 167-175. https://doi.org/10.1111/add.13057. · DOI
  15. Hansen, N. B., & Lambert, M. J. (2003). An evaluation of the dose-response relationship in naturalistic treatment settings using survival analysis. Mental Health Services Research, 5(1), 1-12. https://doi.org/10.1023 /A:1021751307358. · DOI
  16. Hofmann, S. G., & Barlow, D. H. (2014). Evidence-based psychological interventions and the common factors approach: The beginnings of a rapprochement? Psychotherapy, 51(4), 510-513. https://doi.org/10.1037 /a0037045. · DOI
  17. Horvath, A. O., & Greenberg, L. S. (1986). The development of the working alliance inventory. In L. S. Greenberg & W. M. Pinsoff (Eds.), The psychotherapeutic process: a research handbook (pp. 529-556). New York: Guilford Press.
  18. Kadera, S. W., Lambert, M. J., & Andrews, A. A. (1996). How much therapy is really enough? A session-by- session analysis of the psychotherapy dose-effect relationship. Journal of Psychotherapy Practice and Research, 5(2), 132-151.
  19. King, D., Delfabbro, P., & Griffiths, M. (2010). Cognitive behavioral therapy for problematic video game players: Conceptual considerations and practice issues. Journal of Cyber Therapy and Rehabilitation, 3(3), 261-273.
  20. King, D., Delfabbro, P., Griffiths, M., & Gradisar, M. (2011). Assessing clinical trials of Internet addiction treatment: A systematic review and CONSORT evaluation. Clinical Psychology Review, 31(7), 1110-1116. https://doi.org/10.1016/j.cpr.2011.06.009. · DOI
  21. King, D. L., & Delfabbro, P. H. (2016). Features of parent-child relationships in adolescents with Internet Gaming Disorder. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469- 016-9699-6. · DOI
  22. King, D. L., Delfabbro, P. H., Griffiths, M. D., & Gradisar, M. (2012). Cognitive-behavioral approaches to outpatient treatment of internet addiction in children and adolescents. Journal of Clinical Psychology, 68(11), 1185-1195. https://doi.org/10.1002/jclp.21918. · DOI
  23. Kuss, D., Van Rooij, A., & Shorter, G. (2013). Internet addiction in adolescents: Prevalence and risk factors. Computers in Human Behavior, 29(5), 1987-1996. https://doi.org/10.1016/j.chb.2013.04.002. · DOI
  24. López-Fernandez, O., Honrubia-Serrano, M. L., Baguley, T., & Griffiths, M. D. (2014). Pathological video game playing in Spanish and British adolescents: Towards the exploration of Internet Gaming Disorder symp- tomatology. Computers in Human Behavior, 41, 304-312. https://doi.org/10.1016/j.chb.2014.10.011. · DOI
  25. Masten, A. S., & Garmezy, N. (1985). Risk, vulnerability, and protective factors in developmental psychopa- thology. In A. S. Masten & N. Garmezy (Eds.), Advances in clinical child psychology (pp. 1-52). Minnesota: Springer.
  26. Moos, R. & Moos, B. (1994). Family Environment Scale Manual: Development, Applications, Research -Third Edition. Palo Alto, CA: Consulting Psychologist Press.
  27. Moscosoa, S. C., Chaves, S. S., Vidal, M. P., & Anguera, M. T. (2013). Reporting a program evaluation: Needs, program plan, intervention, and decisions. International Journal of Clinical and Health Psychology, 13(1), 58-66. https://doi.org/10.1016/S1697-2600(13)70008-5. · DOI
  28. Müller, K. W., Janikian, M., Dreier, M., Wölfling, K., Beutel, M. E., Tzavara, C., et al. (2015). Regular gaming behavior and internet gaming disorder in European adolescents: Results from a cross-national representative survey of prevalence, predictors, and psychopathological correlates. European Child & Adolescent Psychiatry, 24, 565-574. https://doi.org/10.1007/s00787-014-0611-2. · DOI
  29. Pontes, H. M., Király, O., Demetrovics, Z., & Griffiths, M. D. (2014). The conceptualisation and measurement of DSM-5 Internet Gaming Disorder: The development of the IGD-20 Test. PLoS ONE, 9(10), e110137. https://doi.org/10.1371/journal.pone.0110137. · DOI
  30. Stake, R. E. (2006). Multiple case study analysis. New York: The Guildford Press.
  31. Steinhausen, H. C., & Metzke, C. W. (2001). Risk, compensatory, vulnerability, and protective factors influenc- ing mental health in adolescence. Journal of Youth and Adolescence, 30(3), 259-280.
  32. Tate, R. L., Perdices, M., Rosenkoetter, U., Shadish, W., Vohra, S., Barlow, D., et al. (2016). The single-case reporting guideline in behavioural interventions (SCRIBE) 2016: Explanation and elaboration. Archives of Scientific Psychology, 96(7), 1-10.
  33. Torres-Rodríguez, A., & Carbonell, X. (2015). Adicción a los videojuegos en línea: Tratamiento mediante el programa PIPATIC. Aloma, 33(2), 67-75.
  34. Torres-Rodriguez, A., Griffiths, M. D. & Carbonell, X. (2017). The treatment of Internet Gaming Disorder: A brief overview of the PIPATIC program. International Journal of Mental Health and Addiction. https://doi. org/10.1007/s11469-017-9825-0. · DOI
  35. van Rooij, A. J., Kuss, D. J., Griffiths, M. D., Shorter, G. W., Schoenmakers, M. T., & Van De Mheen, D. (2014). The (co-)occurrence of problematic video gaming, substance use, and psychosocial problems in adolescents. Journal of Behavioral Addictions, 3(3), 157-165. https://doi.org/10.1556/JBA.3.2014.013. · DOI
  36. Wan, C., & Chiou, W. (2006). Why are adolescents addicted to online gaming? CyberPsychology & Behavior, 9(6), 762-766. https://doi.org/10.1089/cpb.2006.9.762. · DOI
  37. Wood, R., Gupta, R., Derevensky, J., & Griffiths, M. (2004). Video game playing and gambling in adolescents: Common risk factors. Journal of Child & Adolescent Substance Abuse, 14(1), 77-100.
  38. Young, K. S. (2013). Treatment outcomes using CBT-IA with Internet-addicted patients. Journal of Behavioral Addictions, 2(4), 209-215. https://doi.org/10.1556/JBA.2.2013.4.3. · DOI · Paper page

Cited by

Sorted by citations

Authors
Torres-Rodríguez, A., Griffiths, M. D., Carbonell, X., Farriols-Hernando, N., & Torres-Jimenez, E.
Affiliations
  • Universitat Ramon Llull (ES)
  • Nottingham Trent University (GB)
Corresponding author
  • Torres-Rodríguez, Alexandra
  • Griffiths, Mark D.
Venue
International Journal of Mental Health and Addiction
Published
2017-12-05
Volume
17
Issue
1
Pages
1-12
ISSN
  • 1557-1874 (ISSN-L)
  • 1557-1882
OpenAlex
W2771997564
Cited by
97
References
10
Citations by year
2025: 2 · 2024: 4 · 2023: 13 · 2022: 10 · 2021: 6 · 2020: 50 · 2019: 9 · 2018: 2 · 2017: 1
FWCI
43.41
Type
journal article
Language
en
Open access
Locations
  • International Journal of Mental Health and Addiction (publishedVersion, cc-by)
  • Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (submittedVersion, cc-by)
  • RECERCAT (Consorci de Serveis Universitaris de Catalunya) (submittedVersion, cc-by)
Funders
Nottingham Trent University
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › Gambling Behavior and Treatments
  • Social Sciences › Psychology › Clinical Psychology › Sexuality, Behavior, and Technology
Keywords
internet gaming disorder, video game use, comorbidities, treatment efficacy, withdrawal design

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