Among illicit drugs, the prevalence of amphetamine-type
stimulant (ATS) use is second only to cannabis. Currently, there are no approved
pharmacotherapies for ATS problems, but some face-to-face psychotherapies are
effective. Web-based interventions have proven to be effective for some
substance use problems, but none has specifically targeted ATS users.
The objective of the study was to evaluate the effectiveness
of a Web-based intervention for ATS problems on a free-to-access site compared
with a waitlist control group.
We used a randomized controlled trial design. The primary
outcome measure was self-reported ATS use in the past three months assessed
using the Alcohol, Smoking, Substance Involvement Screening Test (ASSIST).
Other measures included quality of life (EUROHIS score), psychological distress
(K-10 score), days out of role, poly-drug use, general help-seeking intentions,
actual help-seeking, and “readiness to change”. The intervention consisted of
three fully automated, self-guided modules based on cognitive behavioral
therapy and motivation enhancement. The analysis was an intention-to-treat
analysis using generalized estimating equation models, with a group by time
interaction as the critical assessment.
We randomized 160 people (intervention n=81, control n=79).
At three months, 35/81 (43%) intervention and 45/79 (57%) control participants
provided follow-up data. In the intervention group, 51/81 (63%) completed at
least one module. The only significant group by time interaction was for days
out of role. The pre/post change effect sizes showed small changes (range d=0.14 to 0.40)
favoring the intervention group for poly-drug use, distress, actual
help-seeking, and days out of role. In contrast, the control group was favored
by reductions in ATS use, improvements in quality of life, and increases in
help-seeking intentions (ranged=0.09
to 0.16).
This Web-based intervention for ATS use produced few
significant changes in outcome measures. There were moderate, but
nonsignificant reductions in poly-drug use, distress, days partially out of
role, and increases in help-seeking. However, high levels of participant
attrition, plus low levels of engagement with the modules, preclude firm
conclusions being drawn on the efficacy of the intervention and emphasize the
problems of engaging this group of clients in a fully automated program.
Full article at: http://goo.gl/4B76qb
By: Robert J Tait, BSc (Hons), PhD,12 Rebecca McKetin, PhD,3 Frances Kay-Lambkin,4,5 Bradley Carron-Arthur, BPsych (Hons),2 Anthony Bennett, BAppSc,2 Kylie Bennett, BSc, BA (Hons),2 Helen Christensen,2,6 and Kathleen M Griffiths, PhD2
1National Drug Research Institute, Faculty
of Health Sciences, Curtin University, Perth, Australia
2National Institute for Mental Health
Research, The Australian National University, Canberra, Australia
3Centre for Research on Ageing, Health and
Wellbeing, The Australian National University, Canberra, Australia
4National Drug and Alcohol Research Centre,
University of New South Wales, Sydney, Australia
5Centre for Translational Neuroscience and
Mental Health, University of Newcastle, Newcastle, Australia
6Black Dog Institute, University of New
South Wales and Prince of Wales Hospital, Sydney, Australia
Robert J Tait, National Drug Research Institute,
Faculty of Health Sciences, Curtin University, GPO Box U1987, Perth, 6845,
Australia, Phone: 61 8 92661610, Fax: 61 8 92661611, Email: ua.ude.nitruc@tiat.trebor.
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