학술논문

Subtyping based on readiness and confidence: the identification of help-seeking profiles for gamblers accessing web-based counselling.
Document Type
Article
Source
Addiction. Mar2015, Vol. 110 Issue 3, p494-501. 8p. 3 Charts, 1 Graph.
Subject
*COMPUTER network resources
*COMPULSIVE behavior
*CONFIDENCE
*CONFIDENCE intervals
*COUNSELING
*GAMBLING
*HELP-seeking behavior
*QUESTIONNAIRES
*RESEARCH funding
*MULTIPLE regression analysis
*STRUCTURAL equation modeling
*RELATIVE medical risk
*DATA analysis software
*DESCRIPTIVE statistics
*ODDS ratio
*THERAPEUTICS
Language
ISSN
0965-2140
Abstract
Background and aims Problem gamblers are not a homogeneous group and recent data suggest that subtyping can improve treatment outcomes. This study administered three readiness rulers and aimed to identify subtypes of gamblers accessing a national web-based counselling service based on these rulers. Methods Participants were 1204 gamblers (99.4% problem gamblers) who accessed a single session of web-based counselling in Australia. Measures included three readiness rulers (importance, readiness and confidence to resist an urge to gamble), demographics and the Problem Gambling Severity Index (PGSI). Results Gamblers reported high importance of change [mean = 9.2, standard deviation (SD) = 1.51] and readiness to change (mean = 8.86, SD = 1.84), but lower confidence to resist an urge to gamble (mean = 3.93, SD = 2.44) compared with importance and readiness. The statistical fit indices of a latent class analysis identified a four-class model. Subtype 1 was characterized by a very high readiness to change and very low confidence to resist an urge to gamble ( n = 662, 55.0%) and subtype 2 reported high readiness and low confidence ( n = 358, 29.7%). Subtype 3 reported moderate ratings on all three rulers ( n = 139, 11.6%) and subtype 4 reported high importance of change but low readiness and confidence ( n = 45, 3.7%). A multinomial logistic regression indicated that subtypes differed by gender ( P < 0.001), age ( P = 0.01), gambling activity ( P < 0.05), preferred mode of gambling ( P < 0.001) and PGSI score ( P < 0.001). Conclusions Problem gamblers in Australia who seek web-based counselling comprise four distinct subgroups based on self-reported levels of readiness to change, confidence to resist the urge to gamble and importance of change. [ABSTRACT FROM AUTHOR]