Observable indicators and behaviors for the identification of problem gamblers in venue environments.
Background and aims In many jurisdictions, where gambling services are provided, regulatory codes require gambling operators to apply a duty of care toward patrons. A common feature of these provisions is some expectation that venue staff identify and assist patrons who might be experiencing problems with their gambling. The effectiveness of such measures is, however, predicated on the assumption that there are reliable and observable indicators that might be used to allow problem gamblers to be distinguished from other gamblers. Methods In this study, we consolidate the findings from two large Australian studies (n = 505 and n = 680) of regular gamblers that were designed to identify reliable and useful indicators for identifying problem gambling in venues. Results It was found that problem gamblers are much more likely to report potentially visible emotional reactions, unusual social behaviors, and very intense or frenetic gambling behavior. Discussion and conclusions This study shows that there are a range of indicators that could potentially be used to identify people experiencing problems in venues, but that decisions are most likely to be accurate if based on an accumulation of a diverse range of indicators.
1 School of Psychology, The University of Adelaide , Adelaide, Australia.
Paul
P
Delfabbro
2 Australian Gambling Research Centre, Australian Institute of Family Studies , Melbourne, Australia , and Brain and Psychological Sciences Research Centre, Swinburne University of Technology , Melbourne, Australia.
Anna
A
Thomas
2 Australian Gambling Research Centre, Australian Institute of Family Studies , Melbourne, Australia , and Brain and Psychological Sciences Research Centre, Swinburne University of Technology , Melbourne, Australia.
Andrew
A
Armstrong
D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001315:Australia / Q000453:epidemiology; D016739:Behavior, Addictive / Q000175:diagnosis* / Q000453:epidemiology / Q000523:psychology*; D066264:Datasets as Topic; D004777:Environment; D005260:Female; D005715:Gambling / Q000175:diagnosis* / Q000453:epidemiology / Q000523:psychology*; D006801:Humans; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D011336:Probability; D012307:Risk Factors; D055815:Young Adult
customer behavior; harm minimization; identification; problem gambling; staff training
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