Abstract
A 3 item screen for problem gambling was developed based on a conceptual analogue of the Alcohol Use Disorders Identification Test—Consumption (Bush et al. in Arch Intern Med 158:1789–1795, 1998); a brief screen that measures consumption rather than harm. Data were collected from an email panel survey of 588 men and
810 women (n = 1,398) across all states in Australia. Respondents indicated their consumption of gambling products using the 3 items of
the new Consumption Screen for Problem Gambling (CSPG). Receiver Operating Characteristics curve analysis was used to analyze
the performance of the new items relative to the Problem Gambling Severity Index (Ferris and Wynne in The Canadian problem
gambling index: Final report, 2001). Results show a 98% probability that the CSPG score for a randomly chosen positive case of problem gambling will exceed
the score for a randomly chosen negative case. In addition, a score of 4+ on the CSPG identified all 14 cases of Problem Gambling
correctly, while only 7.3% of non-problem gamblers had scores of 4+ (sensitivity = 100%; specificity = 92.7%). Lastly, only
3.0% of respondents without any gambling problems had CSPG scores of 4+. The current study suggests that the CSPG, a brief consumption-based measure for
gambling products, can quickly and accurately identify people who are likely to be experiencing gambling problems.
810 women (n = 1,398) across all states in Australia. Respondents indicated their consumption of gambling products using the 3 items of
the new Consumption Screen for Problem Gambling (CSPG). Receiver Operating Characteristics curve analysis was used to analyze
the performance of the new items relative to the Problem Gambling Severity Index (Ferris and Wynne in The Canadian problem
gambling index: Final report, 2001). Results show a 98% probability that the CSPG score for a randomly chosen positive case of problem gambling will exceed
the score for a randomly chosen negative case. In addition, a score of 4+ on the CSPG identified all 14 cases of Problem Gambling
correctly, while only 7.3% of non-problem gamblers had scores of 4+ (sensitivity = 100%; specificity = 92.7%). Lastly, only
3.0% of respondents without any gambling problems had CSPG scores of 4+. The current study suggests that the CSPG, a brief consumption-based measure for
gambling products, can quickly and accurately identify people who are likely to be experiencing gambling problems.
- Content Type Journal Article
- Pages 1-10
- DOI 10.1007/s10899-011-9260-2
- Authors
- Matthew J. Rockloff, Institute for Health and Social Science Research, Central Queensland University, Bundaberg, QLD 4670, Australia
- Journal Journal of Gambling Studies
- Online ISSN 1573-3602
- Print ISSN 1050-5350