Effects of Different Screening and Scoring Thresholds on PGSI Gambling Risk Segments

Stone, Christine; Romild, Ulla; Abbott, Max; Yeung, Kristal; Billi, Rosa; Volberg, Rachel A.

doi:10.1007/s11469-014-9515-0

Cited by 25 publications

(18 citation statements)

References 17 publications

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“…In Stone et al (2015) and the present study it was found that administering problem gambling measures to subsets of gamblers and assuming that excluded participants are non-problem gamblers, while reducing problem gambling prevalence estimates, has a much greater impact on estimates of moderate-and low-risk gambling. Although people in these categories have less severe problems than problem gamblers, in aggregate they account for more gambling-related harm (Abbott et al 2014a, b).…”

Section: Discussionmentioning

confidence: 47%

“…Regular gamblers were defined as weekly gamblers on any activity except lottery games and scratch tickets. Stone et al (2015) showed, using data from the 2008 survey, that if the PGSI had been administered only to weekly gamblers then the 0.70 % problem gambler estimate would have fallen to 0.54 %. Greater reductions were found for moderate risk (2.33-1.30 %) and low risk (5.60-2.72 %) gamblers.…”

Section: Prevalencementioning

confidence: 99%

“…In other surveys it was administered to all adults who reported having taken part in any gambling activity during the past 6 months. A recent study has shown that restricting administration to weekly participants and/or people who report spending large amounts on gambling generates substantially lower estimates of problem and at-risk gambling (Stone et al 2015). Thus, had the 1999 and 2003 surveys administered problem gambling measures to all past year gamblers, it is likely that their prevalence estimates would have been higher; in the case of the 1999 survey perhaps significantly higher than those from all other surveys.…”

Section: Introductionmentioning

confidence: 99%

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Gambling and Problem Gambling in Victoria, Australia: Changes over 5 years

Abbott

Stone²,

Billi

et al. 2015

J Gambl Stud

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Commentary on Dowling et al. (2016): Is it time to stop conducting problem gambling prevalence studies? The dual-frame survey conducted by Dowling and colleagues should cause gambling researchers to re-evaluate the scientific value of routinely conducting problem gambling prevalence studies. A better use of resources would support research designed to reduce the incidence of gambling-related harm rather than perpetuate its ongoing mismeasurement.

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Section: Discussionmentioning

confidence: 47%

Section: Prevalencementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Gambling and Problem Gambling in Victoria, Australia: Changes over 5 years

Abbott

Stone²,

Billi

et al. 2015

J Gambl Stud

Self Cite

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“…[8, 13, 18, 19]. However, the validity of comparing regularised estimates has not yet been established because the amount of residual heterogeneity among studies after adjustment is unknown.…”

Section: Introductionmentioning

confidence: 99%

A meta-regression analysis of 41 Australian problem gambling prevalence estimates and their relationship to total spending on electronic gaming machines

et al. 2017

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BackgroundMany jurisdictions regularly conduct surveys to estimate the prevalence of problem gambling in their adult populations. However, the comparison of such estimates is problematic due to methodological variations between studies. Total consumption theory suggests that an association between mean electronic gaming machine (EGM) and casino gambling losses and problem gambling prevalence estimates may exist. If this is the case, then changes in EGM losses may be used as a proxy indicator for changes in problem gambling prevalence. To test for this association this study examines the relationship between aggregated losses on electronic gaming machines (EGMs) and problem gambling prevalence estimates for Australian states and territories between 1994 and 2016.MethodsA Bayesian meta-regression analysis of 41 cross-sectional problem gambling prevalence estimates was undertaken using EGM gambling losses, year of survey and methodological variations as predictor variables. General population studies of adults in Australian states and territory published before 1 July 2016 were considered in scope. 41 studies were identified, with a total of 267,367 participants. Problem gambling prevalence, moderate-risk problem gambling prevalence, problem gambling screen, administration mode and frequency threshold were extracted from surveys. Administrative data on EGM and casino gambling loss data were extracted from government reports and expressed as the proportion of household disposable income lost.ResultsMoney lost on EGMs is correlated with problem gambling prevalence. An increase of 1% of household disposable income lost on EGMs and in casinos was associated with problem gambling prevalence estimates that were 1.33 times higher [95% credible interval 1.04, 1.71]. There was no clear association between EGM losses and moderate-risk problem gambling prevalence estimates. Moderate-risk problem gambling prevalence estimates were not explained by the models (I 2 ≥ 0.97; R 2 ≤ 0.01).ConclusionsThe present study adds to the weight of evidence that EGM losses are associated with the prevalence of problem gambling. No patterns were evident among moderate-risk problem gambling prevalence estimates, suggesting that this measure is either subject to pronounced measurement error or lacks construct validity. The high degree of residual heterogeneity raises questions about the validity of comparing problem gambling prevalence estimates, even after adjusting for methodological variations between studies.Electronic supplementary materialThe online version of this article (doi:10.1186/s12889-017-4413-6) contains supplementary material, which is available to authorized users.

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“…Measurement of its prevalence is highly dependent upon a host of methodological variations (e.g. [5,6]). As Dowling et al illustrate, a dual mobile-landline telephone sample frame may increase the measured prevalence rate by a factor of 4.…”

mentioning

confidence: 99%