David Smith

Dr. David Smith


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 July 2015 in JMIR Human Factors
Verified
Journal Article
Open access
SOSimone Kate Orlowski
Simone Kate Orlowski
SLSharon Lawn
Sharon Lawn
AVAnthony Venning
Anthony Venning
MWMegan Winsall
Megan Winsall
GJGabrielle M Jones
Gabrielle M Jones
NBNiranjan Bidargaddi
Niranjan Bidargaddi
JMIR Human Factors - a leading peer-reviewed ehealth journal

SLSharon Lawn
Sharon Lawn
COCandice Oster
Candice Oster
BRBen Riley
Ben Riley
DSDavid Smith
David Smith
MBMichael Baigent
Michael Baigent
MRMubarak Rahamathulla
Mubarak Rahamathulla
There have been significant changes in the gambling landscape particularly relating to gambling in the digital age. As the gambling landscape changes, regulation of gambling also needs to change. In 2018, the Office of Responsible Gambling in New South Wales, Australia, commissioned a gap analysis to inform their research objectives and priority focus areas. This included an identification of gaps in our understanding of emerging technologies and new trends in gambling. A gap analysis of the peer-reviewed literature published since 2015 was undertaken, identifying 116 articles. The main area of focus was Internet gambling, followed by articles exploring the relationship between video gaming and gambling, the expansion of the sports betting market, Electronic Gambling Machines characteristics and articles exploring new technologies and trends in advertising and inducements. Key gaps related to the need for more research in general, as well as research focusing on subpopulations such as those using different gambling formats, those with varying levels of problem gambling, and vulnerable populations. From a methods perspective, researchers saw the need for longitudinal studies, more qualitative research and improved outcome measures. The development and testing of a public health approach to addressing the harms associated with gambling in these areas is needed.


25 September 2013 in Journal of Gambling Studies
Verified
Journal Article
Closed access
PDF file
DSDavid Smith
David Smith
MBMalcolm Battersby
Malcolm Battersby
RPRene G. Pols
Rene G. Pols
PHPeter W. Harvey
Peter W. Harvey
JOJane E. Oakes
Jane E. Oakes
MBMichael F. Baigent
Michael F. Baigent

1 June 2015 in Behaviour Research and Therapy
Verified
Journal Article
Open access
DSDavid Smith
David Smith
MBMalcolm Battersby
Malcolm Battersby
PHPeter W. Harvey
Peter W. Harvey
RPRene G. Pols
Rene G. Pols
RLRobert Ladouceur
Robert Ladouceur
Problem gambling-specific cognitive therapy (CT) and behavioural (exposure-based) therapy (ET) are two core cognitive-behavioural techniques to treating the disorder, but no studies have directly compared them using a randomised trial. To evaluate differential efficacy of CT and ET for adult problem gamblers at a South Australian gambling therapy service. Two-group randomised, parallel design. Primary outcome was rated by participants using the Victorian Gambling Screen (VGS) at baseline, treatment-end, 1, 3, and 6 month follow-up. Of eighty-seven participants who were randomised and started intervention (CT = 44; ET = 43), 51 (59%) completed intervention (CT = 30; ET = 21). Both groups experienced comparable reductions (improvement) in VGS scores at 12 weeks (mean difference -0.18, 95% CI: -4.48-4.11) and 6 month follow-up (mean difference 1.47, 95% CI: -4.46-7.39). Cognitive and exposure therapies are both viable and effective treatments for problem gambling. Large-scale trials are needed to compare them individually and combined to enhance retention rates and reduce drop-out.

23 May 2012 in Addiction Research & Theory
Verified
Journal Article
Closed access
DSDavid Smith
David Smith
RPRene G. Pols
Rene G. Pols
MBMalcolm W. Battersby
Malcolm W. Battersby
PHPeter W. Harvey
Peter W. Harvey
The aim of this study was to establish reliability and validity of the Gambling Urge Scale (GUS) in a clinical population of problem gamblers. This cohort study was conducted in South Australia between March 2008 and March 2009. Participants were problem gamblers aged ≥18 years (n = 158) who were seeking treatment from a range of gambling help services. Measures included gambling urge, problem gambling screening, gambling behaviour and problems caused by gambling, such as personal health and relationships. The psychometric properties investigated were internal reliability, criterion-related validity, concurrent validity and construct validity. Results showed high internal consistency for GUS (α = 0.93) and significant item-rest correlations ranging from 0.72 to 0.86. For criterion-related validity, a GUS cut score of three correctly classified 81.13% of participants as problem gambling with sensitivity 84.75% and specificity 76.6%. Concurrent validity was significant with a number of gambling-related symptoms and problems including psychological disturbance, work and social functioning and gambling-related cognitions (p < 0.001). An insignificant correlation was found between gambling urge and sensation seeking traits (p = 0.663). When controlling for gender and age the instrument was shown to have significant predictive properties for different levels of gambling severity (p < 0.001). A principal component analysis for the one component showed an overall explained variance of 75.54%. These findings indicate that GUS is a valid and reliable instrument for problem gambling screening, to measure treatment outcomes and may predict relapse in problem gambling.