e-epidemiology – adapting epidemiological data collection to the 21st century (4 Cr3 1100 Bexelius)

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  • 1. Bexelius C et al.: e-epidemiology – adapting epidemiological data collection to the 21st century
    • This slideshow, presented at Medicine 2.0’08 , Sept 4/5 th , 2008, in Toronto, was uploaded on behalf of the presenter by the Medicine 2.0 team
    • Do not miss the next Medicine 2.0 congress on 17/18th Sept 2009 ( www.medicine20congress.com )
    • Order Audio Recordings (mp3) of Medicine 2.0’08 presentations at http://www.medicine20congress.com/mp3.php
  • 2. e-epidemiology – adapting epidemiological data collection to the 21st century Christin Bexelius, PhD-student Jan-Eric Litton, Professor Department of Medical Epidemiology and Biostatistics Karolinska Institutet, Sweden
  • 3. Outline
    • Epidemiology
    • LifeGene
    • e-epidemiology
    • Examples
      • Web
      • Cell phones
      • Interactive Voice Response
    • Conclusion
  • 4. Epidemiology Cured Dead Chronic/current disease time Diagnosis Healthy Exposure e.g., smoking, genetics, diet
  • 5. Cohort
  • 6.
    • Prospective cohort with at least 500,000 individuals
      • Genetically informative sample
      • Entire country
    • Collection of genetic samples at start
    • Rapid, repeated collection of environmental and life-style information
    • A national resource
      • Open to all
      • Harmonized with other international cohorts
  • 7. e-epidemiology e-epidemiology Web Digital paper
  • 8. Web-based questionnaires
    • Women’s LifeStyle and Health study
      • 50,000 women
      • Aged 40-59 years
      • Mixed mode; paper and web
      • Response rate 71%
    • The twin study
      • 43,000 twins, men and women
      • Aged 20-45 years
      • Response rate 50% web only
    • HPV-study
      • 25,000 women
      • Aged 18-45 years
      • Mixed mode; paper and web
      • Response rate 62%
    • Prostate cancer
      • 7,000 men with history of prostate cancer, 55-70 years
      • Genomic and environmental data
      • Data collection during 1.5 years
      • Mixed mode; paper and web
      • Response rate 77%
  • 9. Web-based hearing test
    • Hearing test in home environment
    • Java-based
    • Requires headphones and calibration from reference person
    • Sensitivity 75%
    • Specificity 96%
  • 10. Cell phones – text messaging
    • Pilot study testing the feasibility of using text messaging in collection of data on influenza vaccination
    • 2400 individuals in the Swedish population, 0-100 years
    • Low response rate
    • Feasible for data collection on vaccination status
  • 11. Cell phones – Java based questionnaire
    • Real-time measures of physical activity levels via Java-based questionnaire on cell phones
    • 22 women aged 19-45 years
    • Comparison to Double Labeled Water (gold standard)
    • High agreement compared to paper questionnaires
  • 12. Real-time data collection through web and IVR
    • Surveillance of acute respiratory infection through self-report
      • Web-based questionnaires
      • Interactive Voice Response (IVR)
    • 3,500 individuals living in Stockholm county
    • October 2007 – May 2008
    • 1/3 IVR
    • 2/3 Web
  • 13. Conclusion
    • To conduct large scale epidemiological studies, new effective methods for data collection is needed
    • Electronic techniques have this potential
    • The science underlying e-epidemiology adapts the epidemiological data collection to the 21th century
  • 14. e-epidemiology – adapting epidemiological data collection to the 21st century
    • Thank you!
    • [email_address]
  • 15. Questionnaire 2 Mobile average 14 Mobile day 15 Bland Altman plot Quest 2
  • 16. Introduction Source: Statistics’ Sweden and PTS
  • 17. 1636 (76%) 1192 (57%) 1454 (68%) 1055 (44%) 14 (1%) 176 (7%) 344 (14%) 868 (36%) SMS-group TI-group Phone number found Contacted participants Contact established Aborted contacts Drop-outs 2150 (100%) 2400 (100%) Original sample 1009 (47%) Participants 154 (6%) 7 (<1%) 176 (8%) Aborted contacts Drop-outs 187 (8%) Declined contact 183 (9%) Declined contact 1192 (55%) landline 444 (21%) mobile
  • 18. Text messaging vs. Telephone Interview Age group Level of education