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Presentation delivered at the Canadian Evaluation Society Conference in Toronto in June 2013. The results and process behind the development evaluation and outcome evaluation with the Break It Off social media campaign for youth smoking cessation were discussed.
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Evaluation of Break It Off: a Social Media-based Campaign Targeting Young Adult Smokers
Cameron D. Norman1 N.Bruce Baskerville2 ,Nancy Korstanje3
Steve Brown2, Barbara Zupko2 ,Larry Squire2 1 CENSE Research + Design & Dalla Lana School of Public Health, University of Toronto
2Propel Centre for Population Health Impact, 3The Canadian Cancer Society
Canadian Evaluation Society Conference, Toronto, ON June 2013
BACKGROUND
Young adults (19-29) have the highest rate of smoking in Canada – 24.4% use Tobacco (CCHS, 2010)
86% of young adults (18 to 34 years) in Canada are using social media tools – e.g Facebook, Twitter, etc. (Ipsos Reid, 2011)
Social media tools are immensely popular, yet not well studied in terms of population health impact
Evidence to-date suggest wide reach, low barriers to use, and portability → great potential for population level impact 3
Any electronic, networked information resource that derives its principal value from user contributions, engagement & interaction
Developmental Evaluation
Developmental Evaluation • First proposed by Michael Quinn Patton
(1994) • Combines Utilization-Focused
Evaluation with concepts from Complexity Science
• Social innovation and resiliency require actionable feedback to enable programs to adapt and thrive through change
• Strategic learning / real-time evaluation
Developmental Evaluation • Assists social innovators to learn
strategically • Supports adaptation to changing
conditions • Develops promising interventions • Documents innovators’ actions • Identifies emergent processes and
outcomes; enhances resiliency • Determines if an innovation is ready for
formative evaluation
Systems Thinking
• Knowledge structures can be built upon: – Information: symbolic pattern of matter and
energy – Networks: the information delivery channels and
attendant limits – Systems: Bounded elements linked to facilitate
the flow of information and support networks
Break It Off
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Promoted January 2012 to March 2012 • Paid advertising on websites with high levels of young
adult viewership. • Banner ads on sites such as Microsoft, Yahoo and
Facebook. • Homepage takeovers on the Weather Network. • Ads on dating sites such as Plenty of Fish and OK Cupid. • Facebook, Twitter, YouTube videos and blogs.
Links to Smokers’ Helpline
What are Quitlines?
Quitlines are computer-supported, telephone-based tobacco cessation counselling services that help tobacco users quit involving a live, trained cessation counsellor.
Quitlines reach and serve tobacco users, regardless of location.
Residents in all 50 states, the District of Columbia, each U.S. territory, all ten Canadian provinces and two territories have access to public Quitline services.
Smokers’ Helpline (SHL) is an evidence-based cessation service managed by the Canadian Cancer Society.
SHL reach into the young adult smoking population is estimated to be just 0.5%.
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Developmental Evalua4on Research Approach
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Step 5: Act
In collabora.on with CCS, synthesis and transla.on of knowledge into publica.on, programming and/or
future evalua.on research.
Step 1: Listen
Interact with CCS to iden.fy their needs and wants and build a shared
understanding of the context, objec.ves, challenges and
opportuni.es associated with SM.
Step 2: Plan
Involve the user community via focus groups to incrementally define and develop the SM interven.on
plan.
Step 3: Do
Flowing from CCS needs and user input, implement the plan and finalize the evalua.on research framework (data collec.on methods) to support it.
Step 4: Study
Collect data to assess implementa.on progress and
outcomes and regularly report to CCS on results to inform decision-‐
making.
Development Cycle
A mixed-methods approach to data collection was used to answer the following general questions:
Developmental Evaluation Questions Question #1 – How did the Social media (SM) campaign
develop over time and what evolved in its implementation?
Question #2 – What was learned in the pursuit of population reach using an SM-based tool with young adults?
Question #3 – How did the SM campaign change quitting success and influence Quitline utilization?
Question #4 – What influence did the social network have on quitting outcomes and youth engagement?
Plan, Act, Evaluate Plan, Act, Evaluate
Plan, Act, Evaluate
“ready, fire, aim” approach to innovation
Gamble, J. (2006). A Developmental Evaluation Primer Montreal, PQ: J.W.McConnell Foundation
Developmental vs. Traditional Evaluation Approach
Overlapping sequences of developments / evaluations
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Step 2: Plan
Involve the user community via focus groups to
incrementally define and develop the SM interven.on plan.
ROUND I focus group results: Barriers to quiKng/triggers Friends who smoke
Socializing and drinking Rou.nes that include smoking
Stress Solu4ons Change rou.nes Replace with healthy habits Support of friends Reac4ons to Break it Off Visually appealing Liked the “break-‐up” metaphor
Interac.ve elements important
App was well-‐received
“… it’s kind of a clever idea, the whole breaking off a rela9onship thing, and I think a lot of people will relate to that.”
“I think that one major factor in quiBng smoking is to just know that you’re not alone … a lot of friends of mine quit smoking all at the same 9me.”
“I really like the tracking system where you could see if you did slip up, why you slipped up and then be able to go back and look at your record of how you were progressing or not progressing.”
Data collection: Minutes of meetings, SHL/SHO administrative data, and web
analytic data collected. 11 young adult smoker focus group sessions (Ontario,
Manitoba and New Brunswick) - 7 before the launch of the SM campaign and 4 after.
Analysis: Descriptive quantitative analysis of user activity. Grounded Theory - Constant comparison method for
qualitative focus group data.
Measures: Ongoing monitoring of decision-
making, tracking of activity, SM usage and call volumes.
Young adult input on challenges to quitting, potential solutions, use of social media, and campaign feedback.
Target population: English and French speaking smoking adults 19-29 years of age
Outcome Measures: Quitline Reach - proportion of eligible
smokers in the target population who register for SHL/SHO - reach into the young adult smoking population is currently estimated to be just 0.5%.
Data Collection and Analysis: SHL/SHO administrative data on
registrants and annual Canadian Tobacco Use Monitoring survey.
Reach seven months prior to the SM campaign launch and seven months calculated with sub-group comparisons.
Reach * Effectiveness = Impact
Sustainability of the SM Campaign supported by:
Transla4on An iterative, developmental approach, Partnership with CCS using continuous
knowledge exchange, Embedding of the program within CCS’
suite of cessation programs
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Step 5: Act
In collabora.on with CCS, synthesis and transla.on of knowledge into publica.on, programming and/or
future evalua.on research.
Break it Off -‐ Real-‐4me Results
Number of people reached through the Break it Off web-site and level of activity
37,325 unique visitors 44,172 visits 107,600 page views 2.44 pages per visit on average 3,937 installations of the Break It
Off smartphone app
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Results -‐ SM Performance
ROUND II focus group results of BIO Users: Two focus groups conducted to date (June 2012) Site and app were easy to use, visually appealing, and
suitable for audience
App was used more than the website
Using app to track progress and triggers was helpful Mixed percep.ons on SHL
Sharing quit status on Facebook can create a suppor.ve environment
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“I posted and I got a lot of good feedback on it so that helped me support-‐wise to know that a lot of people actually did care
whether I quit smoking.”
“The app helped me realize what my triggers were…so then I could stop them before they even happened and just kind of focus on something else or keep myself busy just to get past that ini.al craving and then I was fine.”
“The app helped me stay focused, to see the number of days smoke-‐free rise every day was key for me.”
Break it Off -‐ Real-‐4me Results
Did web traffic increase over 4me? The campaign was launched on Jan. 12, 2012 and remained fairly constant un.l funding for promo.on ran out at the end of March. Spikes in traffic can be a\ributed to promo.onal ac.vi.es such as the home page takeover of the Weather Network.
• Visits per day
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Break it Off -‐ Real-‐4me Results
Where were users geographically located?
The following ci.es provided the
most visits:
• Toronto* -‐ 8,363
• Saskatoon* -‐ 3,764
• Regina* -‐ 3,096
• O\awa* -‐ 2,288
• Winnipeg -‐ 1,400 • Hamilton* -‐ 1,229
*Provinces with expanded promo.onal BIO campaigns
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Break it Off -‐ Real-‐4me Results
Were people being exposed to the resources?
• 2,208 new Facebook page likes (www.facebook/smokershelpline) since January 2012
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9,810
5,785
4,065
3,969
3,959
0 2,000 4,000 6,000 8,000 10,000 12,000
Break-‐up methods
Break-‐up videos
Smartphone App
Get Over With It
The Ugly Truth
Page views (Jan 12 to Mar 31, 2012)
Break it Off -‐ Real-‐4me Results
Campaign Results
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Quit Rates 7 day PPA at 3 months – 47% 30 day PPA at 3 months – 32%
Quit Actions Made a quit attempt – 91% Cut down amount smoked – 89% Set a quit date – 66%
Satisfaction Very or mostly satisfied with the campaign – 77%
Unintended Consequence Only 21 visitors out of 37,000+ connected to Quitline
Results -‐ Reflec4on
Reflections on Developmental Evaluation
Critical success factors
Having the right people involved Partnership, open dialogue, relationships Expertise in social media Goal congruence Adaptable and agile Social Innovative nature was appealing Enthusiasm for the project
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Lessons Learned & Next Steps
Lessons Learned:
Flexibility and adaptation are key “It’s about relationships” Continuous learning Organizations are not set up for development,
just outcomes… development-in-action is challenging
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Conclusion
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Implications for Practice Break It Off was effective in helping young adults
quit smoking.
Compares favourably to other digital social media interventions - “Happy Endings” 44.7% quit rate (7 day PPA) versus “Break it off” 47% quit rate (7 day PPA) at 3 months
Break It Off is reaching smokers who are not using cessation supports such as SHL
An integrated tobacco cessation system should consider the role of social media based interventions and the implications of technological change on service offerings
Conclusion
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Implications for Research & Evaluation Formative evaluation research on social media -
e.g. What seems to be working, not working, reasons for use, etc.?
Implementation science - e.g. What are the key components that account for change in behaviour for social media?
Paucity of evidence on effectiveness and cost-effectiveness of social media interventions for decision-makers.
Cameron D. Norman PhD
CENSE Research + Design [email protected] @cdnorman
N. Bruce Baskerville PhD Propel Centre for Population Health Impact, University of Waterloo [email protected]