hazel gilbert research department of primary care and population health ucl medical school
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Can we involve smokers who are unmotivated to quit in quitting activity?. Hazel Gilbert Research Department of Primary Care and Population Health UCL Medical School. Overview. Principles of tailoring Escape study Baseline characteristics and follow-up assessment. Self-help Materials. - PowerPoint PPT PresentationTRANSCRIPT
Hazel GilbertResearch Department of Primary Care and Population
Health UCL Medical School
Can we involve smokers Can we involve smokers who are unmotivated to who are unmotivated to quit in quitting activity?quit in quitting activity?
1) Principles of tailoring
2) Escape study
3) Baseline characteristics and follow-up assessment
Overview
Generic leaflets and manuals
Personalised generic
Targeted materials to particular groups
Individually Tailored Feedback
Definition: ‘intended to reach one specific person, based on characteristics unique to that person, related to the outcome of interest, and derived from an individual assessment’
(Kreuter et al 1999)
Self-help Materials
Individually Tailored FeedbackPersonally relevant information:
→ greater attention
→ central route processing (deeper processing)
→ greater cognitive and behavioural change (Elaboration Likelihood Model. Petty and Cacioppo, 1981)
Evidence of effectiveness
‘evidence of the effectiveness of tailoring health behaviour change messages’ (Noar, Benac and Harris 2007) (meta-analysis of 57 studies)
‘material tailored for the individual increases quit rates over and above standard materials and untailored materials’ (Lancaster and Stead 2005) 17 trials (OR 1.42)
1) Understand determinants of the behaviourTailoring process ideally informed by established models of behaviour change
2) Develop a framework of intervention objectives • motivation and readiness to quit• reason for quitting• dependence and self-image• cognitive expectations of the outcomes of quitting• perceived self-efficacy • offer skills and strategies to cope• social environment • encourage finding support
Phases of development
3) Develop tailoring assessmentDesign questionnaire to assess the relevant individual characteristics
4) Create the content of the feedbackCompose a message for each possible answer
5) Design templateStyle and Format • Font• Graphics• Colour• Tone• Reading and comprehension level
Individual assessment
Input
Decision rulesMessage library of persuasive texts
Individualised output
Computer system
Dijkstra 2008
Process
E of computer-tailored Smoking Cessation Advice in
Primary carE A Randomised Controlled Trial
ffectiveness
General PracticeResearchFramework
Aim: To examine the effect of computer generated individually tailored feedback reports designed to help and encourage smokers to quit, on quit rates and quitting activity, when sent to smokers with varying levels of motivation and reading ability, identified from GP lists
Applications of Tailored Feedback in Primary Care
Clinical approach: Intensive face-to-face Relatively high quit rates
Low participation rates Unrepresentative
3-6% of smokers use the services per year
Challenge for Primary Care services:
to reach the smokers who do not use clinics
NHS Smoking Cessation Service
Proactive recruitment
Contact individuals directly offering a service
Higher participation
More demographically representative
Can target specific population groups
• Smokers not motivated to quit
• Areas of high deprivation where smoking prevalence is higher
• Smokers willing to take part returned the SBQ to research team at UCL• Randomised to Intervention or Control Group
• Practices identified current cigarette smokers (18 to 65) from patient records using the computer system
• Random sample of 500 screened by GP, and sent Smoking Behaviour Questionnaire (SBQ), together with a covering letter from GP (n=60,000)
123 general practices recruited from the MRC GPRF
Control GroupStandard NHS booklet
Intervention Group• Standard NHS booklet• Computer-tailored feedback report
adapted to reading level and readiness to quit
• Additional assessment and feedback report one month after baseline
6-month follow-up: postal questionnaire to assess smoking status, cognitive change, perception of the feedback, economic issues
Baseline characteristics
Demographics:
Female 56.5%
Mean age 44.72 (17-83)
White 96%
Qualifications <=GCSE 62.1%
Married/living with partner 58.8%
In paid employment 65.2%
Live with smoker 50.2%
Children under 10 18.9%
Children 10-18 24.4%
Pregnant 1.2%
N=6900
Withdrawn=69
Response rate=11.75%
Intervention=3404(49.8%)
Control=3427(50.2%)
Dependence: I C
Non-daily smokers 5.0% 5.4%
Smoke <30 minutes of waking 62.3% 62.1%
Previously quit >3 months 49.1% 48.7%
Mean age started smoking 16.19 16.24
Mean cigarettes per day 17.82 17.7
How much do you want to quit (scale 1-5)
3.33 3.25**
How determined are you to quit for good (scale 1-5)
3.26 3.19*
Think of self as addicted (scale 1-5) 4.03 4.03
Image (scale 1-5):smoking is part of who I am
see self as non-smoker2.5
3.042.483.02
**p=.006 * p=.016
Respondents by readiness to quit
5.70% 7.80%
40.10%
46.90%
0%
10%
20%
30%
40%
50%
w ithin 2 w eeks w ithin 30 days w ithin 6 months not w ithin 6 months
planning to quit
Of those planning to quit within the next 30 days (n=890): 339 (38.1%) set a quit date
Of those not planning to quit within the next 6 months (n=3203):too difficult - 45.3% / want to smoke - 44.8% / both - 4.3%
Readiness to quit by motivation
1
2
3
4
5
w ithin 2 w eeks w ithin 30 day s w ithin 6 months not planning
Planning to quit
mea
n sc
ore
w ant to quit
determined to quit
think self addicted
image 'w ho I am'
image 'non-smoker'
Intervention Group only (N=3404)4 weeks post baseline
Sent follow-up assessment + reminder=3350(98.4%)
Returns: Before reminder 968 (28.9%)After reminder 817 (24.4%)
Total 1785 (53.3%)
Participants planning quit in 30 days less likely to return the follow-up assessment (p=0.012)
Follow-up Assessment Response
Plan to quit Abstinent (%) Not abstinent (%)
Total
Within 2 weeks 43 (23.5) 61 (76.5) 183
Within 30 days 36 (13.5) 84 (86.5) 267
Within 6 months 66 (4.8) 661 (95.2) 1384
Not planning 35 (2.3) 800 (97.7) 1516
Total 180 (5.4) 3170 (94.6) 3350
Follow-up Assessment Outcome
2 = 197.48, p<.0001
0
10
20
30
40
50
60
1-6 days ago 7-14 days ago 2-4 weeks ago >4 weeks ago
last smoked
%
within 2 weeks
within 30 days
within 6 months
not within 6 months
Length of abstinence by readiness
Respondents not smoking 4 weeks post baseline (n=180)
Made quit attempt
Plan to quit Yes(%) No (%) Total
within 2 weeks 49(81.7) 11(18.3) 60
within 30 days 52(61.9) 32(38.1) 84
within 6 months 171(25.9) 489(74.1) 660
not within 6 months 102(12.8) 695(87.2) 797
Total 374(23.4) 1227(76.6) 1601
Quit attempts by readiness
2=235.698, p<.00001
Respondents still smoking 4 weeks post baseline (n=1601)
The Escape trial has met recruitment targets in terms of motivation
By reaching smokers with no plans to quit in the near future, we are able to provide them with information that they would not otherwise receive or seek out
By completing the Smoking Behaviour Questionnaire, these smokers are engaging in reflection about their smoking behaviour
Might prompt them to consider changes to their lifestyle and behaviour
Quitting activity?
Conclusions
participation rates of
public health campaigns
behavioural intervention principles of the clinical approach
provide personal, individually tailored self-help reports for a large population of smokers
Tailored feedback + Proactive Recruitment
Co-investigatorsIrwin Nazareth, Richard MorrisDepartment of Primary Care and Population Sciences, UCL
Stephen SuttonInstitute of Public Health, University of Cambridge
CollaboratorChristine GodfreyDepartment of Health Sciences, University of York
Trial Co-ordinatorCamille Alexis-Garsee
General PracticeResearchFramework