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QUALITYASSURANCE. EPIDEMIOLOGY. STRATEGICPLANNING. SERVICE. SCIENCE. POLICY. . . . Parallel Tracks. The Medical Model (Service). SICK WELL. Treatment. . The Quality Assurance Model (Process). NOTSO GOOD. . BETTER. Q. TQM CQI. The Planning Model (Regu
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1. Roger’s Fortune Cookie(July 1988) Put the data you have gathered to beneficial use.
2. Parallel Tracks
3. The Medical Model(Service)
4. The Quality Assurance Model(Process)
5. The Planning Model(Regulation)
6. The Research Model(Science)
7. The Epidemiolgy Model(Modified Science)
8. The Public Health Model(Classic Version)
9. The New Public Health Model?
10. Use Data Persuasion
Assessment
Monitoring
Planning
Evaluation
Research
11. Sources of Information
CDC, NCHS
State Health Departments
IHS Headquarters East
IHS Area Offices
Tribes
12. Existing sources: US Census
Reservation and Tribal community data
Includes social and economic indicators
1990 Census data are old and inaccurate
2000 Census data not yet available
14. Existing sources: Tribal Census
More complete than US Census
Includes members away from community
?May miss members of other Tribes living in community
15. Existing sources: Vital Statistics(birth and death records)
Rarely specific to Indian communities
Rarely Tribe specific
Indian identification may be inaccurate
Only superficial view of community’s health
17. Infant Mortality Rates, 1973-1993
18. NM AI/AN Infant Mortality 1993-1997(communities with > 200 births/5 years)
19. Existing sources:IHS Clinical Data
Tribe and community specific
Reports on people and health problems
Data only on patient visits to IHS
Cost accounting not yet available
21. Existing sources: IHS Program Data
Specific data on specific issues
Similar reports available at many sites
Sometimes narrowly technical
Sometimes bureaucratic
23. Existing sources: Tribal Programs
Local perspective
Data and reports for the Tribe
May need to develop capacity
Capacity for statistics and analysis are developing
24. Existing sources: Special Surveys
Can only be performed by community
You can get what you really want
Lots of work difficult, time consuming
Requires developing expertise
25. Surveillance Data Adapt data that already exists
Pay someone to collect data
Collect data yourself
Require someone to fill out a form
26. Parting Shots No data are perfect. Make it better. Use it anyway.
Data don’t make decisions. People do.
Data may be lacking. Use common sense, imagination, and good science to fill in the blanks.
Data is as data does. (Forrest Gump-ian.)
Use data to make a difference. Do public health.
Success in prevention comes in small victories.
Persistence is very powerful.