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ehealth treatment and health promotion: alcohol and other drugs David Kavanagh Queensland University

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Title: ehealth treatment and health promotion: alcohol and other drugs David Kavanagh Queensland University


1
e-health treatment and health promotion alcohol
and other drugsDavid KavanaghQueensland
University of Technology1 December, 2009
  • CRICOS No. 00213J

2
Substance use is a prime target for internet
interventions
  • Large numbers of people affected
  • Too many for standard services

3
Substance misuse involveslarge numbers
  • 5 (800k) with substance use disorders
  • (last 12 months, ABS 2008)
  • More at risk of disorders
  • 21 smokers
  • (ABS 2007)

4
Substance use disorders affect large numbers
  • 5 (800k) with substance use disorders
  • (last 12 months, ABS 2008)

5
Substance use disorders affect large numbers
  • 5 (800k) with substance use disorders
  • (last 12 months, ABS 2008)
  • 21 smokers
  • (ABS 2007)

6
Regular Drinking at Risk(Men gt 28/week women gt
14) 2007 Australian household survey
10
9
7
Binge drinking at least monthly (Men gt 6/ Women
gt 4)2007 Australian household survey
(On 2007 guidelines, underestimates risk
higher limit for men.)
24
17
9
8
Substance use is a prime target for internet
interventions
  • Large numbers of people affected
  • Too many for standard services
  • Especially young people
  • who are early adopters of technology

9
Regular Drinking at Risk(Men gt 28/week women gt
14) 2007 Australian household survey
16
9
10
Binge drinking at least monthly (Men gt 6/ Women
gt 4)2007 Australian household survey
44
35
9
11
16-30 is peak time for substance use disorder
Australian Bureau of Statistics (2008)
12
Substance use is a prime target for internet
interventions
  • Large numbers of people affected
  • Too many for standard services
  • Especially young people
  • Who are early adopters of technology
  • Brief, face-to-face treatments work
  • In fact, its often hard to do better

13
Meta-analysis alcohol
  • Rank Order studies studies
  • (Quality x Outcome)
  • Brief Intervention 68 31
  • 2. Motivation enhancement 71 17
  • Miller Wilbourne (2002) Addiction 97, 265-277

14
Substance use is a prime target for internet
interventions
  • Large numbers of people affected
  • Too many for standard services
  • Especially young people
  • Who are early adopters of technology
  • Brief, face-to-face treatments work
  • In fact, its hard to do better
  • Bibliotherapy and mailed treatments work

15
Study 2(Kavanagh, Sitharthan, Spilsbury,
Vignaendra,1999)(10 gm Units/Week)Uses
participants at 2 months, persons own average
substituted for missing data.
16
Study 2(Kavanagh, Sitharthan, Spilsbury,
Vignaendra,1999)(10 gm Units/Week)Uses
participants at 2 months, persons own average
substituted for missing data.
?
Brief S-M, Wait received Full
17
Study 2(Kavanagh, Sitharthan, Spilsbury,
Vignaendra,1999)(10 gm Units/Week)Uses
participants at 2 months, persons own average
substituted for missing data.
?
?
Brief S-M, Wait received Full
Extended S-M received Full
18
Internet intervention does appear to work
19
  • Courseslimited effect
  • Assessment feedback ? lt use/problems, esp. in
    short term
  • Motivational intervention improves impact
  • Full interventionssignificant, sustained results

20
Courses have limited impact
  • Croom et al (2009)
  • college freshmen online course vs control
  • gt knowledge, lt drinking games, not other drinking
  • Bersamin et al. (2007)
  • college students (regular drinkers)
  • Course vs control
  • heavy drinking less often, lt drunkenness, -
    consequences.

21
Randomised Controlled TrialsNormative
assessment feedback
  • Neighbours et al. (2009)
  • alcohol, 21st Bday, college students
  • feedback, norms, harm reduction info
  • BAC (.10) lt assessment alone (.13)
  • Bewick et al. (2008)
  • college students
  • feedback, norms vs control
  • lt alcohol per occasion, not units/week
  • Walters et al. (2007) college students with
    heavy episodic drinking
  • Feedback vs assessment only
  • lt drinks/wk, max BAC at 8 weeks, at 16 wks both
    fell equally
  • No effect on light drinkers, abstainers
  • Chiauzzi et al. (2005) college students

22
Non-College samples
  • Finfgeld-Connett et al. (2008)
  • rural women misusing alcohol
  • RCT Info, decision making, bulletin board, chat
    vs standard care
  • No difference in alcohol use
  • Riper et al. (2007)
  • 261 adult problem drinkers
  • Multi-component intervention vs. psychoed online
  • At 6 months 17 within limits vs 5
  • 44 drinks/week ? 29 drinks vs 44 drinks ? 41
    drinks
  • Cunningham et al. (2005)
  • problem drinkers
  • Assessment feedback self-help book vs feedback
    alone
  • lt alcohol use at 3 mths

23
Randomised Controlled TrialsMotivational
Intervention
  • Kypri et al (2008)
  • college students
  • Web-based MI 1, 6 mth boosters vs Single MI vs
    Info pamphlet
  • Both web treatments ? lt alcohol use lt acad
    problems to 12/12

24
Smoking
  • Stretcher et al (2005)
  • 3791 people buying nicotine patches in UK and
    Ireland
  • Web-based cessation guide, 3 newsletters, email
    support messages, tailored advice to support
    person vs non-tailored advice
  • 6-week continuous abstinence 29 vs 24
  • An et al. (2008)
  • 517 college students
  • Control link to online smoking resources,
    competition for smoke-free prize
  • vs. this plus
  • 10/wk for 20 visits to report health
    lifestyle, do quiz, view online magazine with
    cessation messages
  • peer email support (50 prize if write back)
  • 30 day abstinence 41 vs 23 Control

25
Internet interventions should have advantages
over mailed ones
  • Immediate feedback
  • Should be more reinforcing?
  • Opportunity for multimedia, less writing
  • Should reduce reliance on reading?
  • Entertainment aspects should increase retention?
  • Potential email, SMS interface
  • Increase retention if cue access?
  • Improved monitoring
  • Cueing of strategy use should increase
    generalisation

26
Are they living up to expectations?
  • Better retention?
  • Better outcomes?
  • Better engagement of young people?
  • Less skewed education profile?
  • Highly accepted?

27
Quality of existing sites 2009
28
Expert review of alcohol other drug sites
  • 157 sites identified on Google search
  • 56 sites evaluated
  • Priority to
  • greater focus on AOD
  • Younger target audience
  • More interactivity
  • Australian, or high-prominence international
  • Evaluated by 2/5 raters
  • Any differences resolved by discussion
  • (Proudfoot, Drennan et al., 2009)

29
Rating areas
  • Description
  • Homepage
  • Clarity of purpose/ Scope/ Clarity of target
    population/ Trustworthiness
  • Usability
  • Ease of navigation, site use / Accessibility
  • Interactivity (incl bulletin board/forum/online
    discussion)
  • Questions/prompts for input
  • Clarity/ Utility, relevance
  • Quality of personal feedback
  • Clarity/ Utility, relevance
  • Attractiveness

30
Rating areas Addiction researchers
  • Nature of intervention
  • Information
  • Accuracy, currency
  • Comprehensiveness
  • Balance
  • Clarity
  • Relevance to target group

31
Findings
  • Site quality acceptable
  • means 7.0-8.8 / 10
  • But not reflecting current tech capabilities
  • Content ratings
  • Relevant to audience 7.2 (2.2)
  • Current 7.1 /10 (1.9)
  • Clear 7.0 (1.8)
  • But less strong on
  • Balance 6.4 (2.7)
  • Comprehensiveness 5.6 (2.3)

32
Findings
  • Sites generally of reasonable tech quality
  • Few take full advantage of technology
  • Language often too complex
  • Little advice on what treatments work
  • Intervention rarely given online

33
Observations and qualitative data9 Groups
  • Observation of website use
  • Max of 6.5 min on a site
  • less if young
  • 2 min if not 1st site accessed

34
Observations free search (9 groups)
  • Average time on a website
  • 16-24 418 400 312 248
  • 25-65 530 530 418 242

35
Also, marketing issues
36
Online Consumer survey, n 3008Preference if
had a problem...
  • Alcohol, Other drugs
  • 18 18 Internet telephone support
  • 19 18 Self-help, no therapist support
  • 22 26 Internet face-to-face support
  • 35 34 Internet email support
  • (Klein et al. 2009)

37
What would use (Yes)
  • Downloadable fact sheets (58)
  • Portal giving advice on websites (50)
  • Online tests with feedback (46)
  • Systems tailoring information to user (43)
  • ...
  • (Chat room 10)
  • (Own online support group 9)

38
Focus groups
  • Cautious, somewhat negative
  • Impersonal
  • Skeptical re validity of assessment, effects of
    treatment
  • Need for ongoing support
  • Positive comments re
  • Initial stepe.g. screening
  • Where anonymity needed
  • Thought it was likely to require more motivation

39
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40
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