Psychometric properties of a brief on-line screening instrument to detect at-risk gamblers

  1. Mónica Bernaldo-de-Quirós 1
  2. Francisco J. Labrador 1
  3. Francisco Estupiñá 1
  4. Ignacio Fernández-Arias 1
  5. Gloria García-Fernández 2
  6. Marta Labrador-Méndez 1
  1. 1 Universidad Complutense de Madrid
    info

    Universidad Complutense de Madrid

    Madrid, España

    ROR 02p0gd045

  2. 2 Universidad de Oviedo
    info

    Universidad de Oviedo

    Oviedo, España

    ROR https://ror.org/006gksa02

Revista:
Psicothema

ISSN: 0214-9915

Año de publicación: 2017

Volumen: 29

Número: 4

Páginas: 558-562

Tipo: Artículo

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Otras publicaciones en: Psicothema

Resumen

Background: Gambling facilitates the development of psychopathological problems in some gamblers. Rapid and easy detection of the presence of these problems, or the risk of their development, will allow early action at the beginning of the problem, including preventive action. For this purpose, we developed the “Sistema de Cribado de Riesgo de Problemas de Juegos” (SCRI-PJ [Risk of Gambling Problems Screening System]), an on-line instrument for the detection of people who have, or may develop, gambling problems. The goal of this work is to present and validate the SCRI-PJ. Method: 85 people with gambling problems undergoing treatment and 119 people from the general population were assessed with the SCRI-PJ and the DSM-RT Diagnostic Criteria for Pathological Gambling questionnaire. Results: The SCRI-PJ showed high internal consistency (α = .96), sensitivity (94.2%) specifi city (91.4%), with a negative predictive value of 98.6%. Conclusion: The SCRI-PJ is a brief and effective screening instrument to detect people with gambling problems or who are at risk of developing them

Referencias bibliográficas

  • Ferris, J., & Wynne, H. (2001). The Canadian problem gambling index: Final report. Ottawa: Canadian Centre on Substance Abuse.
  • Gainsbury, S., Russell, A., Hing, N., Wood, R., Lubman, D. I., & Blaszczynski, A. (2014). The prevalence and determinants of problem gambling in Australia: Assessing the impact of interactive gambling and new technologies. Psychology of Addictive Behaviours, 28(3), 769-779. doi:10.1037/a0036207
  • Gerstein, D. R., Murphy, S. A., Toce, M. T., Hoffmann, J., Palmer, A., Johnson, R. A., …, Sinclair, S. (1999). Gambling impact and behavior study: Report to the National Gambling Impact Study Commission. Chicago: National Opinion Research Center at the University of Chicago.
  • Jiménez-Murcia, S., Stinchfield, R, Alvarez-Moya, E., Jaurrieta, N., Bueno, B., Granero, R., …, Vallejo, J. (2009). Reliability, validity, and classification accuracy of a Spanish translation of a measure of DSMIV diagnostic criteria for pathological gambling. Journal of Gambling Studies, 25, 93-104. doi: 10.1007/s10899-008-9104-x
  • Kairouz, S., Paradis, C., & Nadeau, L. (2011). Are online gamblers more at risk than offline gamblers? Cyberpsychology Behavior and Social Network, 15, 175-180. doi:10.1089/cyber.2011.0260.
  • Labrador, F. J., Becoña, E., Crespo, M., Echeburúa, E., & Labrador, M. (2013). Informe: el juego en España en 2013 [Report: Gambling in Spain in 2013]. SELAE: Unpublished manuscript.
  • Lesieur, H. R., & Blume, S. B. (1987). The South Oaks Gambling Screen (SOGS): A new instrument for the identification of pathological gamblers. American Journal of Psychiatry, 144, 1184-1188. doi: 10.1176/ajp.144.9.1184
  • Shead, N. W., Derevensky, J. L., & Gupta, R. (2010). Risk and protective factors associated with youth problem gambling. International Journal of Adolescent Medicine and Health, 22(1), 39-58.
  • Stinchfield, R. (2003). Reliability, validity, and classification accuracy of a measure of DSM-IV diagnostic criteria for pathological gambling. American Journal of Psychiatry, 160(1), 180-182. doi: 10.1176/appi.ajp.160.1.180
  • Toce-Gerstein, M., Gerstein, D. R., & Volberg, R. A. (2009). The NODS-CLiP: A rapid screen for adult pathological and problem gambling. Journal of Gambling Studies, 25, 541-555. doi: 10.1007/s10899-009-9135-y
  • Volberg, R. A., Munck, I. M., & Petry, N. M. (2011). A quick and simple screening method for pathological and problem gamblers in addiction programs and practices. American Journal on Addictions, 20(3), 220-227. doi: 10.1111/j.1521-0391.2011.00118.x
  • Volberg, R. A., & William, R. J. (2011). Developing a brief problem gambling screen using clinically validated samples of at-risk, problem and pathological gamblers. Edmonton: Alberta Gaming Research Institute.
  • Wardle, H., Moody, A., Spence, S., Orford, J., Volberg, R., Jotangia, D., Griffiths, M., Hussey, D., & Dobbie, F. (2011). British Gambling Prevalence Survey 2010. London: The Gambling Commission.
  • Williams, R. J., & Volberg, R. A. (2010). Best practices in the population assessment of problem gambling. Ontario: Ontario Problem Gambling Research Centre.
Fuente de los datos: Dialnet