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Mobile Rapid Response Tobacco Surveillance

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  • 1. Mobile Rapid Response Tobacco Surveillance Thomas R. Kirchner, PhD Research Investigator The Steven A. Schroeder Institute for Tobacco Research & Policy Studies Adjunct Assistant Professor Johns Hopkins Bloomberg School of Public Health Adjunct Assistant Professor Georgetown Lombardi Comprehensive Cancer Center PRESENTED AT: CDC OSH EXPERT PANEL ON RAPID RESPONSE METHODOLOGY FOR TOBACCO CONTROL SURVEILLANCE CDC OFFICE ON SMOKING AND HEALTH, ATLANTA, GA JUNE 2, 2011
  • 2. Wireless Penetration: USCTIA, 2010 Year-end Data 302.9 million active mobile devices ~308.7 million people (+territories) = ~96% US Market Penetration Average wireless bill = $47.21 Down 95 cents from 2009Source:  Wireless  Substitution:  International Assoc. for the WirelessTelecommunications Industry (CTIA), 2011  
  • 3. Minority Smartphone PreferencesNielsen, 2011
  • 4. Minority Feature PreferencesPew Internet & American LifeMobile Access, 2010
  • 5. Underserved SMSPricewaterhouseCoopersHRI Consumer Survey, 2010
  • 6. Wireless Substitution%  Adults  living  in  wireless-­‐only  households,  January  2007-­‐June  2010     Source:  Wireless  Substitution:  Early  Release  of  Estimates  From  the  National  Health  Interview  Survey,  January  -­‐  June  2010     by  Stephen  J.  Blumberg,  Ph.D.,  and  Julian  V.  Luke,  Division  of  Health  Interview  Statistics,  National  Center  for  Health  Statistics    
  • 7. Ecological Momentary Assessment•  ~ 2 decades mobile health survey researchEMA 2.0•  Participant provided device•  Dynamic Remote Content Management•  Mixed-mode Integration•  Ecological (i.e., GIS) Integration•  Remote Sensing (e.g., accelerometer)
  • 8. Ecological Momentary InterventionLegacy: Become and EX Mobile (iPhone)
  • 9. Ecological Momentary “Surveillance” IVR MMS SMS Email GPS
  • 10. Prospective Targets•  Industry?•  Policy?•  Advocacy?•  Smoker Attitudes / Beliefs?•  Tobacco Product Use Patterns?•  Smoking Initiation and/or Cessation Milestones?
  • 11. Rapid Learning Studies•  Prospective Cohort•  Large, Representative Samples•  Longitudinal (but not “long”)•  Iterative •  c.f., Multiphase optimization strategy (MOST)•  Adaptive •  c.f., Sequential Multiple Assignment Randomized Trial (SMART)
  • 12. Gulf Oil Spill
  • 13. Japan
  • 14. Amazon Mechanical Turk
  • 15. Opportunities•  Methodological –  Reach among Priority Populations –  Prospective, Longitudinal Research Questions –  Rapid Learning Studies•  Logistical –  Existing systems lower cost –  Automation lowers staffing overhead –  Improved retention / follow-up•  Collaborative –  Community Outreach –  Participatory Involvement
  • 16. Challenges•  Privacy•  Platform standards•  Mobile Usage Fees•  Mixed-mode effects•  Reliability / Validity•  Data Processing•  Data Analysis
  • 17. Recommendations•  National Prospective Cohort•  Mobile Platform / Device Independent System Development•  Feature Phone Focus (for now)•  User Preferences Trump Mode Effects•  Mobile + GIS Integration