Enhancing the utility of the problem gambling severity index in clinical settings: Identifying refined categories within the problem gambling category

S. S. Merkouris, C. Greenwood, V. Manning, J. Oakes, S. Rodda, D. Lubman, N. A. Dowling

Research output: Contribution to journalArticleResearchpeer-review

Abstract

Background: The Problem Gambling Severity Index (PGSI) was intended for use in epidemiological research with gamblers across the continuum of risk. Its utility within clinical settings, where the majority of clients are problem gamblers, has been brought into question. Aims: (1) Identify refined categories for the problem gambling category of the PGSI in help-seeking gamblers; (2) Validate these categories using the Gambling Symptom Assessment Scale (G-SAS); (3) Explore the relationship of these categories with indices of gambling and help-seeking behaviour. Methods: Secondary data analysis of help-seeking problem gamblers from the Australian online gambling counselling/support service (Gambling Help Online [GHO]) from October 2012 to December 2015 (n = 5,881) and trial data evaluating an Australian online self-directed program for gambling (GAMBLINGLESS; n = 198). Both datasets included the PGSI, gambling frequency and expenditure. The GAMBLINGLESS dataset also included the G-SAS and help-seeking behaviour. Results: A Latent Class Analysis, using GHO data, identified a 2-class solution. Multiple analytical methods identified a cut-off value of ≥ 19 distinguishing this 2-class solution (low problem severity: Median = 16; high problem severity: Median = 23). High problem severity gamblers had increased odds of being categorised in the higher GSAS category, greater gambling expenditure and having sought face-to-face support. The refined categories were not associated with gambling frequency, distance-based or self-directed help-seeking. Conclusion: These findings are consistent with a stepped-care approach, whereby individuals with higher severity may be better suited to more intensive interventions and individuals with lower severity could commence with less intensive interventions and step-up to intensive interventions.

Original languageEnglish
Article number106257
Number of pages5
JournalAddictive Behaviors
Volume103
DOIs
Publication statusPublished - Apr 2020

Keywords

  • Gambling services
  • Help-seeking
  • Latent class analysis
  • PGSI
  • Problem gambling
  • Problem gambling severity index
  • Validity

Cite this

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title = "Enhancing the utility of the problem gambling severity index in clinical settings: Identifying refined categories within the problem gambling category",
abstract = "Background: The Problem Gambling Severity Index (PGSI) was intended for use in epidemiological research with gamblers across the continuum of risk. Its utility within clinical settings, where the majority of clients are problem gamblers, has been brought into question. Aims: (1) Identify refined categories for the problem gambling category of the PGSI in help-seeking gamblers; (2) Validate these categories using the Gambling Symptom Assessment Scale (G-SAS); (3) Explore the relationship of these categories with indices of gambling and help-seeking behaviour. Methods: Secondary data analysis of help-seeking problem gamblers from the Australian online gambling counselling/support service (Gambling Help Online [GHO]) from October 2012 to December 2015 (n = 5,881) and trial data evaluating an Australian online self-directed program for gambling (GAMBLINGLESS; n = 198). Both datasets included the PGSI, gambling frequency and expenditure. The GAMBLINGLESS dataset also included the G-SAS and help-seeking behaviour. Results: A Latent Class Analysis, using GHO data, identified a 2-class solution. Multiple analytical methods identified a cut-off value of ≥ 19 distinguishing this 2-class solution (low problem severity: Median = 16; high problem severity: Median = 23). High problem severity gamblers had increased odds of being categorised in the higher GSAS category, greater gambling expenditure and having sought face-to-face support. The refined categories were not associated with gambling frequency, distance-based or self-directed help-seeking. Conclusion: These findings are consistent with a stepped-care approach, whereby individuals with higher severity may be better suited to more intensive interventions and individuals with lower severity could commence with less intensive interventions and step-up to intensive interventions.",
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author = "Merkouris, {S. S.} and C. Greenwood and V. Manning and J. Oakes and S. Rodda and D. Lubman and Dowling, {N. A.}",
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Enhancing the utility of the problem gambling severity index in clinical settings : Identifying refined categories within the problem gambling category. / Merkouris, S. S.; Greenwood, C.; Manning, V.; Oakes, J.; Rodda, S.; Lubman, D.; Dowling, N. A.

In: Addictive Behaviors, Vol. 103, 106257, 04.2020.

Research output: Contribution to journalArticleResearchpeer-review

TY - JOUR

T1 - Enhancing the utility of the problem gambling severity index in clinical settings

T2 - Identifying refined categories within the problem gambling category

AU - Merkouris, S. S.

AU - Greenwood, C.

AU - Manning, V.

AU - Oakes, J.

AU - Rodda, S.

AU - Lubman, D.

AU - Dowling, N. A.

PY - 2020/4

Y1 - 2020/4

N2 - Background: The Problem Gambling Severity Index (PGSI) was intended for use in epidemiological research with gamblers across the continuum of risk. Its utility within clinical settings, where the majority of clients are problem gamblers, has been brought into question. Aims: (1) Identify refined categories for the problem gambling category of the PGSI in help-seeking gamblers; (2) Validate these categories using the Gambling Symptom Assessment Scale (G-SAS); (3) Explore the relationship of these categories with indices of gambling and help-seeking behaviour. Methods: Secondary data analysis of help-seeking problem gamblers from the Australian online gambling counselling/support service (Gambling Help Online [GHO]) from October 2012 to December 2015 (n = 5,881) and trial data evaluating an Australian online self-directed program for gambling (GAMBLINGLESS; n = 198). Both datasets included the PGSI, gambling frequency and expenditure. The GAMBLINGLESS dataset also included the G-SAS and help-seeking behaviour. Results: A Latent Class Analysis, using GHO data, identified a 2-class solution. Multiple analytical methods identified a cut-off value of ≥ 19 distinguishing this 2-class solution (low problem severity: Median = 16; high problem severity: Median = 23). High problem severity gamblers had increased odds of being categorised in the higher GSAS category, greater gambling expenditure and having sought face-to-face support. The refined categories were not associated with gambling frequency, distance-based or self-directed help-seeking. Conclusion: These findings are consistent with a stepped-care approach, whereby individuals with higher severity may be better suited to more intensive interventions and individuals with lower severity could commence with less intensive interventions and step-up to intensive interventions.

AB - Background: The Problem Gambling Severity Index (PGSI) was intended for use in epidemiological research with gamblers across the continuum of risk. Its utility within clinical settings, where the majority of clients are problem gamblers, has been brought into question. Aims: (1) Identify refined categories for the problem gambling category of the PGSI in help-seeking gamblers; (2) Validate these categories using the Gambling Symptom Assessment Scale (G-SAS); (3) Explore the relationship of these categories with indices of gambling and help-seeking behaviour. Methods: Secondary data analysis of help-seeking problem gamblers from the Australian online gambling counselling/support service (Gambling Help Online [GHO]) from October 2012 to December 2015 (n = 5,881) and trial data evaluating an Australian online self-directed program for gambling (GAMBLINGLESS; n = 198). Both datasets included the PGSI, gambling frequency and expenditure. The GAMBLINGLESS dataset also included the G-SAS and help-seeking behaviour. Results: A Latent Class Analysis, using GHO data, identified a 2-class solution. Multiple analytical methods identified a cut-off value of ≥ 19 distinguishing this 2-class solution (low problem severity: Median = 16; high problem severity: Median = 23). High problem severity gamblers had increased odds of being categorised in the higher GSAS category, greater gambling expenditure and having sought face-to-face support. The refined categories were not associated with gambling frequency, distance-based or self-directed help-seeking. Conclusion: These findings are consistent with a stepped-care approach, whereby individuals with higher severity may be better suited to more intensive interventions and individuals with lower severity could commence with less intensive interventions and step-up to intensive interventions.

KW - Gambling services

KW - Help-seeking

KW - Latent class analysis

KW - PGSI

KW - Problem gambling

KW - Problem gambling severity index

KW - Validity

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