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Evaluation of Break It O: a Social Media-based Campaign Targeting Young Adult Smokers Cameron D. Norman 1 N.Bruce Baskerville 2 ,Nancy Korstanje 3 Steve Brown 2 , Barbara Zupko 2 ,Larry Squire 2 1 CENSE Research + Design & Dalla Lana School of Public Health, University of Toronto 2 Propel Centre for Population Health Impact, 3 The Canadian Cancer Society Canadian Evaluation Society Conference, Toronto, ON June 2013

BreakItOff Evaluation

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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

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BACKGROUND

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  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  

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Any electronic, networked information resource that derives its principal value from user contributions, engagement & interaction

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Developmental Evaluation

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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

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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

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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

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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

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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

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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?

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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.”  

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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.

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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

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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.    

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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  

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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  

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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  

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Were  people  being  exposed  to  the  resources?      

•  2,208  new  Facebook  page  likes  (www.facebook/smokershelpline)    since  January  2012  

24  

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  

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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

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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

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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.

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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]