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

被引:11
作者
Merkouris, S. S. [1 ]
Greenwood, C. [1 ]
Manning, V [2 ,3 ]
Oakes, J. [4 ,5 ]
Rodda, S. [1 ,2 ,6 ]
Lubman, D. [2 ,3 ]
Dowling, N. A. [1 ,7 ]
机构
[1] Deakin Univ, Geelong, Vic, Australia
[2] Eastern Hlth, Turning Point, Melbourne, Vic, Australia
[3] Monash Univ, Monash Addict Res Ctr, Eastern Hlth Clin Sch, Melbourne, Vic, Australia
[4] Wellbeing & Recovery Res Inst WARRI, Adelaide, SA, Australia
[5] PsychMed, Adelaide, SA, Australia
[6] Univ Auckland, Sch Populat Hlth, Auckland, New Zealand
[7] Univ Melbourne, Parkville, Vic, Australia
基金
英国医学研究理事会; 澳大利亚研究理事会;
关键词
Problem gambling; Problem gambling severity index; PGSI; Latent class analysis; Help-seeking; Gambling services; Validity; CLASSIFICATION ACCURACY; RELIABILITY; VALIDITY; SAMPLE;
D O I
10.1016/j.addbeh.2019.106257
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
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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页数:5
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