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Tracking the Revolution in Health Information
Technology
COPAFS Quarterly MeetingJune 4, 2010
Richard P. Moser, Ph.D.Research Psychologist
“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 HourOctober 19, 2006
Technologic Change
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
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
Changing Health
Health Communication in the Era of Information Technology
• 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.
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
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
Incentives and Imbedded Experiments to Improve Response Rates
2003
2005
2007-08
Surveillance Knowledge, Attitudes, Behavior
Source: Hiatt & Rimer (1999)Source: Hiatt & Rimer (1999)
InterventionResearch
Application &Program Delivery
FundamentalResearch
SurveillanceResearch
Reducing the Cancer Burden
KnowledgeSynthesis
InterventionResearch
Application &Program Delivery
FundamentalResearch
SurveillanceResearch
Reducing the Cancer Burden
KnowledgeSynthesis
Impact of Investments in Cancer Communication
Source: Hiatt & Rimer (1999)Source: Hiatt & Rimer (1999)
InterventionResearch
Application &Program Delivery
FundamentalResearch
SurveillanceResearch
Reducing the Cancer Burden
KnowledgeSynthesis
InterventionResearch
Application &Program Delivery
FundamentalResearch
SurveillanceResearch
Reducing the Cancer Burden
KnowledgeSynthesis
Analyses on Effects of New Communication Environment
Source: Hiatt & Rimer (1999)Source: Hiatt & Rimer (1999)
InterventionResearch
Application &Program Delivery
FundamentalResearch
SurveillanceResearch
Reducing the Cancer Burden
KnowledgeSynthesis
InterventionResearch
Application &Program Delivery
FundamentalResearch
SurveillanceResearch
Reducing the Cancer Burden
KnowledgeSynthesis
Attributes•Demassified•Decentralized•Interactive•Adaptable•Connected
HINTS: Selected Results
Source / Trust / E-mail Communication
Hesse, Moser, Rutten (2010). New England Journal of Medicine, 36 (2); 859-860.
HINTS 2003 HINTS 2005
HINTS Measures: New Media Spread
HINTS 2003 HINTS 2005
HINTS Measures: Online Health Information Seeking
Support for Data Users
HINTS Electronic Codebook
Instant Graphs
HINTS 4: Using Science 2.0 Capabilities
Science 2.0: Collaborative Web Technology
• Based on principles of: • Architecture for participation • Data driven decisions• Wisdom of the masses
• Examples:
HINTS-GEM: Using Science 2.0 for Public Solicitation/Vetting of Survey Items
HINTS-GEM Phase II: Proposing Alternatives and Seeking Comments
Comments:May need to differentiate between receiving and sending Tweets.
Phase III: Rating Final Versions of Constructs and Items
Phase IV: View Final Versions of Constructs and Items with Ratings
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/
Connecting to DHHS Programs
Partners and Populations: Extending the Reach
Delaware
Puerto Rico
Argentina
Guam
