Update on CDC’s National Environmental Public Health Tracking Program Judith R. Qualters, PhD Chief, Environmental Health Tracking Branch Division of Environmental Hazards and Health Effects National Center for Environmental Health Centers for Disease Control and Prevention June 4, 2008
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Update on CDC’s National Environmental Public Health Tracking Program Judith R. Qualters, PhD Chief, Environmental Health Tracking Branch Division of Environmental.
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Update on CDC’s National Environmental Public Health Tracking Program
Judith R. Qualters, PhDChief, Environmental Health Tracking Branch Division of Environmental Hazards and Health EffectsNational Center for Environmental HealthCenters for Disease Control and PreventionJune 4, 2008
Environmental Public Health Tracking
Pew Commission Study America’s Environmental
Health Gap
Congressional funding Program initiated, 2002
Mission: To provide information from a nationwide network of integrated health and environmental data that drives actions to improve the health of communities
Tracking = Surveillance
2002 to 2006: Building Capacity and Demonstrating Utility
CDC’s Tracking Program, 2008
Tracking Network: At-A-Glance
Functions: Provide Nationally
Consistent Data and Measures
Describe and Discover Data
Exchange Data Provide Data
Management and Analysis Tools
Inform and Interact with the Public
A web-based information system that exists at the local, state, and national level that serves the public,
environmental public health agencies, health care providers and researchers
Network Goes Live in 2008!
Building the National Network:
Design principles• Re-use existing software and
infrastructure• Metadata for everything• Adopt standards that exist• Provide a flexible framework
for Network
Iterative Process Involves partners Continues beyond 2008
DATA CLASS; INPUT NAME $ AGE HEIGHT WEIGHT; If age < 13 then group = else group = 'teen'; logwt = log10(weight); /* transform variables */ rootht= sqrt(height);
Geographic scale for national portal: county, state
CDC Tracking Program obtain through NCHS
Indicator of Fertility a.Total Fertility Rateb.Infertility Rate (developmental) – not adopted
Indicator of Sex ratio at birth a.Sex Ratio at Birth
Indicator of Early Puberty a.Age at menarche (developmental) – not adopted
Issues Being Addressed
Communicating any difference between Tracking and standard VS measures E.g. singleton vs. all births
Data used by State Tracking Programs Options for generating measures for use on
state portals Multi-state analysis
Carbon Monoxide Team
Members Co-chaired by NYC [ME] Tracking Program and CDC/APRHB State Tracking grantees RMPDC, Hartford Hospitals, other state health depts.,
NAHDO, VMMC CDC Tracking Program
Surveillance goals Develop and implement a sustainable approach for national
CO surveillance Standardize methodology for routine and disaster-related
CO surveillance including the development of a standardized case definition and measures for surveillance
CO Team Recommendations – Vital Statistics Data
Carbon Monoxide Poisoning Mortalitya. Annual number of deaths from CO poisoning by
State, County and Cause/Intent (Fire-related, non-fire related, unknown)
b. Annual crude rate of death from CO poisoning per 100,000 population by State, County and Cause/Intent (Fire-related, non-fire related, unknown)
c. Annual age-adjusted rate of death from CO poisoning per 100,000 population by State, County and Cause/Intent (Fire-related, non-fire related, unknown)
CDC Tracking Program obtain through NCHS
Childhood Lead Poisoning TeamMembers
Co-chaired by CDC Tracking Program and CDC/LPPB State/local/academic Tracking grantees State CLPPP CDC Tracking Program
Surveillance goals Identify communities where children are at high risk for lead poisoning for
the purposes of guiding & evaluating testing within those communities Understand spatial and temporal patterns of risk for lead poisoning at
national, state, and local levels Evaluate testing of high risk children
Recommendation: Number & % of children tested for lead poisoning prior to 36 mos of age (by
birth year cohort)
Example of Type of Data Needed for National Tracking
Network
county state diagnosis agegroup sex race ethnicity other variables countFulton GA CO poisoning 20 to 24 F W NH fire related 2Fulton GA CO poisoning 20 to 24 F B NH fire related 1
suppression
county state diagnosis agegroup sex race ethnicity other variables countFulton GA CO poisoning 20 to 24 F W NH fire related suppressedFulton GA CO poisoning 20 to 24 F B NH fire related suppressed
aggregatepartiallyDe-identified
fully de-identified
Secure Portal:
Public Portal:
Public Portal: Providing Information, Protecting
PrivacyUsers want to perform:Rate readout tasksPattern recognition
tasksPattern comparison
tasksTime series tasks
We want to:Enable and inform
the userConvey
uncertainty & comparability issues
Minimize disclosure risk
Data Re-release Plan Guidance: CDC re-release policy; CDC-CSTE workgroup recommendations
Key principles in development: Utility Privacy
• match or exceed current protection standards• meet data stewards requirements
Science
EPHT plan: Prevent display of non-zero counts < 6 for geographic units with population <
100,000 and associated crude rates or percentages Flag as unstable any rates with a RSE >30% Or, as determined by DSA with national partner
National Public Portal: Products and Procedures to Protect
PrivacyProduct Procedure
Prepared reports
1. aggregation & variable restriction2. primary and complementary
suppression3. warning of statistical instability
Pre-configured tables,
charts, & maps
1. aggregation & variable restriction2. primary and complementary
suppression3. warning of statistical instability
User-defined queries
1. aggregation & variable restriction2. presentation of health and
biomonitoring data as smoothed or age-adjusted measures
3. warning of statistical instability
National Secure Portal
Federal IT Security Stds. Registered users
1. Authentication – CDC Secure Data Network2. Authorization –
• Application Level – role based• Data access – role and use based
State provided data – approval by state Federal/federally held data – as determined by DSA
Tracking and Vital Statistics Partnership
Improved data Better tools and methods Available technical
expertise/resources Increased workforce
capacity Communications &
outreach DATA
INFORMATION
KNOWLEDGE
ACTION
Example: Methods and ToolsRapid Inquiry Facility (RIF)
Developed by Small Area Health Statistics Unit (SAHSU), Imperial College
Performs risk analysis around hazardous sources and disease mapping No in-depth knowledge of GIS