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Tracking the Revolution in Health Information Technology COPAFS Quarterly Meeting June 4, 2010 Richard P. Moser, Ph.D. Research Psychologist.

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Presentation on theme: "Tracking the Revolution in Health Information Technology COPAFS Quarterly Meeting June 4, 2010 Richard P. Moser, Ph.D. Research Psychologist."— Presentation transcript:

1 Tracking the Revolution in Health Information Technology COPAFS Quarterly Meeting June 4, 2010 Richard P. Moser, Ph.D. Research Psychologist

2 “The pace of change (in communication options) over the next 5 years will dwarf the pace of change for the last 50 years” Lehrer News Hour October 19, 2006 Technologic Change

3 Information Access “CDC used to be in the wholesale business of providing information to state and local health departments. We are now in the retail business, providing health information directly to individuals.” -- Dr. J. Gerberding, 2003

4 Visitors to NCI Web site: Mostly patients and their friends and family –Over 50% –Patient version of PDQ summaries accessed twice as often as Health Professional version (user logs) Health care providers –About 13% Researchers –About 9% Consumer Demand

5 Changing Health

6 Health Communication in the Era of Information Technology

7 Changes in health information environment Usage across channels and sources nationally Combine channel usage with knowledge, attitudes, behaviors Build an evidence base for planners, administrators, communicators, practitioners, and policy makers Genesis of HINTS: Experts Recommend National Surveillance Program Cancer Risk Communication: What We Know and What We Need to Learn - NCI Monograph, No. 25, 1999.

8 HINTS: Overview National probability sample of general adult (non- institutionalized) population (18+) Surveillance vehicle: health information Research vehicle: access to health information → health English and Spanish 2003, 2005, 2007-08 HINTS 4 in planning stages

9 HINTS: Methodology 2003 and 2005: –Computer-Assisted Telephone Interview –List-Assisted Random Digit Dial (RDD) 2007-08: Dual frame/dual mode –Mail, telephone Oversampling of minorities Jackknife replicate weights for variance estimation

10 Incentives and Imbedded Experiments to Improve Response Rates 2003 20052007-08

11 Surveillance Knowledge, Attitudes, Behavior Source: Hiatt & Rimer (1999)

12 Impact of Investments in Cancer Communication Source: Hiatt & Rimer (1999)

13 Analyses on Effects of New Communication Environment Source: Hiatt & Rimer (1999) Attributes Demassified Decentralized Interactive Adaptable Connected

14 HINTS: Selected Results

15 Source / Trust / E-mail Communication Hesse, Moser, Rutten (2010). New England Journal of Medicine, 36 (2); 859-860.

16 HINTS 2003 HINTS 2005 HINTS Measures: New Media Spread

17 HINTS 2003 HINTS 2005 HINTS Measures: Online Health Information Seeking

18 Support for Data Users

19 HINTS Electronic Codebook

20 Instant Graphs

21 HINTS 4: Using Science 2.0 Capabilities

22 Science 2.0: Collaborative Web Technology Based on principles of: Architecture for participation Data driven decisions Wisdom of the masses Examples:

23 HINTS-GEM: Using Science 2.0 for Public Solicitation/Vetting of Survey Items

24 HINTS-GEM Phase II: Proposing Alternatives and Seeking Comments Comments: May need to differentiate between receiving and sending Tweets.

25 Phase III: Rating Final Versions of Constructs and Items

26 Phase IV: View Final Versions of Constructs and Items with Ratings

27 Grid Enabled Measures (GEM): Science 2.0 Overall Goals: To facilitate a virtual community of scientists using collaborative web technology to: vet and promote the use of standardized measures– based on theoretically-meaningful constructs; share the resulting harmonized data. https://www.gem-beta.org/

28 Connecting to DHHS Programs

29 Partners and Populations: Extending the Reach Delaware Puerto Rico Argentina Guam

30 Thanks! moserr@mail.nih.gov


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