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Combining psychological theory and internet technology to disseminate smoking cessation programmes at population level. Jean-François E T T E R Dr. polit. sci., lecturer Institute of social and preventive medicine Faculty of Medicine University of Geneva, Switzerland - PowerPoint PPT Presentation
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Combining psychological theory and internet technology to disseminate smoking cessation programmes at population level
Jean-François E T T E RDr. polit. sci., lecturer
Institute of social and preventive medicineFaculty of Medicine
University of Geneva, Switzerland
SRNT Tuebingen, October 9, 2004
Outline
Content of websites
Tailoring using psychological theory
Effectiveness ?
Evaluation of websites
RCTs on the internet
Perspectives
Psychological support Face-to-face: effective but costly
Once a website is developed, low cost per smoker
Internet: large recruitment, available 24 / 7 / 365
Switzerland: >60% internet users
6% of U.S. internet users searched info on how to quit smoking (=
7’000’000 people)
… 18% of those with less than high schoolPew Internet & American life http://www.pewinternet.org/pdfs/PIP_Health_Report_July_2003.pdf
Reach: e.g. stop-tabac.ch
> 100'000 personal feedback reports produced
2004 = 40'000 visitors / month
Total > 1,400,000 visitors since 1997
Weekly news sent by e-mail to 10'000 people
6 languages
1st in Google, Yahoo, Altavista (in French)
Compare with clinic: ~50 clients / month
Typical content: not interactive
PULL library, PDFs fact sheets video addresses: clinics, help / support links news
PUSH general (bulk) e-mails
Website content: interactivePULL discussion groups, chat rooms personal stories tests: dependence, withdrawal, $ spent on cig FAQ quiz computer-tailored counseling
PUSH tailored e-mails, text messages on cell phones one-to-one counseling by e-mail
Number of sessions (face-to-face)
Abstinence rates
12.416.3
20.924.7
0
5
10
15
20
25
30
1 2 to 3 4 to 8 9+
1
2 to 3
4 to 8
9+
Fiore et al. Clinical practice guideline, USDHHS 2000
Internet: follow-up
Data storage, incl. e-mail addresses
- data protecion laws
Comparison with answers given on last session
- progress reports
Personalized follow-up
(e.g. more intensive just after the quit date)
Discussion forums: people come back to read answers to their
messages
- daily sessions in some people
Number of formats (face-to-face)
Abstinence rates
10.8
15.118.5
23.2
0
5
10
15
20
25
No format 1 format 2 formats 3 or 4
Formats: e.g. Self-help materials, telephone, groups...
Fiore et al. Clinical practice guideline, USDHHS 2000
Enrol smokers for: Smoking cessation clinics Telephone quitlines Tailored letters, booklets by snail mail
Statistics, Stop-tabac.ch, Aug. 200318'800
6'500 6'000 5'4003'300 3'200 3000
12000
5'000
10'000
15'000
20'00035’000 visitors
Social support
Effective, according to USDHHS guideline + meta-analysis
New + specific to the web: Discussion + Chat Not yet evaluated :
very interesting research question !
Counselor, individually - e-mail - telephone (help line) => costly
Distribution of smokers by "stageof change", U.S.A 1999
59%
33%
8%
Precont
Contempl
Prepar
Current Population SurveyWewers et al. Preventive Medicine 2003, 36, 710-20
Distribution of smokers by "stageof change", Geneva 1996
74%
22%
4%
Precont
Contempl
Prepar
Etter et al. Preventive Medicine 1997 26(4), 580-585
Smokers and EX-smokers by "stage of change", Stop-tabac.ch, 2004
1
2
2
4
16
5
2
26
35
17
32
45
35
57
55
24
7
19
9
7
0% 20% 40% 60% 80% 100%
Letters
PersoStories
Forums
Chat
PrecontContemplPreparActionMaintenance
=> How to attract Precont. + Contemplators ?Unpublished data
Develop different
pages / services
to suit the needs of
different groups
Computer-tailored counselingAssessment
(questionnaire)
Data processing
Data storage Individual counseling letter
Follow-up e-mail
Invitation to2nd assessmentprogress report
Personal page
accessedwith code
Behavior theory
Transtheoretical model of change
Ajzen+Fishbein: Theory of planned behavior
Bandura: Social learning theory (self-efficacy)
Health Belief Model
Protection Motivation Theory
PRECEDE / PROCEED model
Addiction and withdrawal (DSM-IV, ICD-10)
Tailoring variables
Demogr., have children, country of residence
Smoking status
Ex-smokers:
- quit date
- withdrawal symptoms
- use of medications (NRT, zyban)
- perceived risk
- self-efficacy (relapse situations)
Tailoring variables: smokers
Smokers:
- motivation to quit
- dependence level
- past quit attempts (date, duration)
- intention to use treatments + medications
- perceived risk / benefits of smoking / quitting
- use of self-change strategies
Preferences for frequency / type of support
Human-Computer interaction theory
Evaluation of websites
Aims of evaluations: Assess efficacy Identify most effective features Improve quality Minimize harm Promote innovation Increase confidence (in users + funding agencies) Improve competitivity (>200 websites) Are so many websites needed ?
Evaluation of smoking cessation websites
Needs of users, preferred services / pages
Which service is best suited to each category
(current / former smoker, age, sex, FTND, stage)
Time frame (e.g. more frequent after quit date)
Outcome research: RCTs
- smoking cessation
- compliance, use of treatments
- effect of interactive features, chat, discuss. forums
- incremental effect of follow-up
Bock et al. N&TR 2004;6:207-19
Review of smoking cessation websites in English Found 202 websites 46 sites included in evaluation
Criteria: Content coverage Content quality, accuracy Usability Interactivity
Bock et al. Interactive features % websites with interactive features,
among sites that cover each key component:
Advise every smoker to quit: 0-11 % Assess readiness to quit 33 % Assist with quit plan 16 % Provide practical counseling 20 % Intra-treatment social support 33 % Recommend use approved pharma 26 % Arrange follow-up contact 56 %
Bock et al. 5 best websites
Canadian Cancer Society:www. Cancer.ca/tobacco
QuitNet: www. Quitnet.com
American Lung Association: www. Lungusa.org/tobacco
University of Geneva: www. Stop-tabac.ch
Arizon Smoker’s Helpline: www. Ashline.org
Impact = efficacy * reach
Google: « quit smoking », first 3 in the list (underlined by us)
« X combines already proven effective methods of treating tobacco addiction into a powerful and effective individually controlled program that is available to anyone, anytime, anyplace »
« Y unites three independent cessation resources - motivation enhancement, a quality education, and serious group support - to form a highly effective nicotine dependency recovery tool »
Efficacy: claims
Efficacy: randomised trials Smokingzine.org vs control website, in schools, grades 9-11. In non-
smokers, decreased intention to smoke, no effect in smokers at 6 mo. (Skinner)
Committed Quitters (Strecher, Shiffman, West) Internet, tailored vs untailored, short-term- 10-week continuous abstinence, intent-to-treat- tailored 23%, untailored 18%, p<.001, OR=1.34
RCT lung cancer screening patients: booklet vs. list of websites: effect on quit attempts only (Clark)
Efficacy of other internet programs: unknown
Cochrane review: computer-tailored Computer-tailored programs, total N=17,200
on paper or PC, not on the internet
Cochrane review: OR = 1.56 (14 studies)
vs. standard materials: OR = 1.36 (10 studies)
vs. no materials: OR = 1.80 (3 studies)
Intervention: 6.1%
No treatment: 4.3%
Difference: 1.8%
NNT: 54
Why are there so few RCTs ?
Same as for other prevention programs: general lack of scientific evaluation
RCTs on the internet: specific problems
But:
This field should not distinguish itself from other fields by the absence of RCTs
RCTs are nevertheless feasible
RCTs on internet: specific problems
Control group: other websites a few clicks away
Assigned to both intervention + control group
Attrition rate (only 30% present at follow-up)
Selective dropout of those who fail to quit
Measuring exposure to the intervention
Consistency of intervention across subjects
Measuring outcome: validity issues
Identification of participants
RCTs on internet
Randomization is possible: tailored vs untailored programs + e-mail programs + control websites
E-mail interventions: effective in other fields (lower back pain)
Specific to the internet: discussion forums + chat
Forums + chats: need to evaluate their:- content (qualitative surveys)- effectiveness (RCTs)- work best for whom? (recent quitters?)
RCT: direct comparison of websites
Conclusions (1) Internet: potential for high quality information + treatments
from qualified professionals
Computer-tailored programmes: effective
Is internet effective? Too few RCTs
Evidence for efficacy from RCTs: - short-term only (10 weeks, 6 months), - at best mixed … or inexistent
Not enough research published
Incremental efficacy of specific features?- forum, chat, quit date recalls
Conclusions (2)
Interactivity = not used enough by websites
Let users contribute to the content of the website(chat, discussion forums, personal stories)
Switch from teacher centered to learner centered
Perspectives:- combine with medications (compliance)- more sophisticated, interactive interventions
Get these slides at: www.stop-tabac.ch/fr/powerpoint.html