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MN Tracking Network From Vision to Impact Tracking Facilitated Discussion May 15, 2012.

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Presentation on theme: "MN Tracking Network From Vision to Impact Tracking Facilitated Discussion May 15, 2012."— Presentation transcript:

1 MN Tracking Network From Vision to Impact Tracking Facilitated Discussion May 15, 2012

2 Road Map Minnesota Tracking Network Tracking in Action (examples) Questions

3 Tracking Network (2012) Network includes 23 states, NYC, and 5 academic partners

4 MN Legislation In 2007 the MN Legislature established the MN Environmental Health Tracking and Biomonitoring Program o External Advisory Panel Goals similar to National Tracking Network; with the addition of 4 biomonitoring pilot projects

5 Data & Measures Hazard Air Quality Drinking Water Environmental Tobacco Smoke* Exposure (Biomonitoring) Lead PFCs* Mercury* Health Asthma COPD* Heart attacks CO poisonings Birth defects Reproductive outcomes Cancer Climate change * Added by Minnesota Tracking Network

6 Timeline Outreach & Testing (Spring 2011) Redesign & Expansion (Spring 2012) Portal Launch (Fall 2010) Coming in 2012 New maps & data E-learning modules Custom data access

7 Target Audiences Local Health Departments Researchers Non-Profit Organizations State & Local Agencies Public, Policymakers

8 Audiences (contd) Local Public Health Association of MN LHD data user groups City and county elected officials Legislators; house/senate research staff MN Reference Library MPCA, MDA American Lung Association MN Cancer Alliance

9 Data Portal:

10 Key Features One-stop shop for health & environment data Nationally consistent measures (indicators) Interactive maps & queries

11 Outreach Tools Webinars & demonstrations Seminars updates Facebook, Twitter News articles

12 Usability Testing User-centered testing (interviews) to evaluate portal content Analyze data; look for patterns; make enhancements

13 Lessons Learned Avoid long titles Use plain language Focus on top tasks

14 Tracking in Action Data Collection Data Analysis & Integration Data Dissemination Public Health Action Tracking = public health surveillance Evaluation

15 Tracking in Action Use data to evaluate policy: carbon monoxide poisonings o CO poisonings result in hospitalizations, emergency department visits, and deaths o In MN passed a new CO alarm law (MS 299F.50 to 299F.51) o Tracking data is used to evaluate trends & effectiveness of policy

16 Tracking in Action Use data to evaluate priorities: assessment & planning o We are facing challenging economic times; assessment and planning process requires tough choices o Tracking data is used to evaluate public health priorities; identify vulnerable areas/populations

17 Tracking in Action Secondhand Smoke Exposure* *Nonsmoking adults in Minnesota, , Minnesota Adult Tobacco Survey

18 Bridging the Gap Exposure data are essential to understand the relationship between health & environment Soil Water Air Food However, these data (extent and frequency) often are not collected/available

19 What is Biomonitoring? Biomonitoring directly measures the amount of an environmental chemical (or chemical breakdown product) in peoples bodies

20 Use in Public Health Practice Track trends over time Identify disparities in exposure Evaluate interventions to reduce exposure Set priorities for public health action, research, and policy

21 Example: Blood Lead Levels Source: Murdock, EMBO Reports 2005

22 Biomonitoring in MN Environmental Health Tracking and Biomonitoring (MN Statutes ) MDH will conduct a pilot biomonitoring program of 4 projects in communities likely to be exposed Develop recommendations for an ongoing state biomonitoring program

23 Perfluorochemical (PFC) Project In 2008 measured 7 PFCs in blood of 196 East Metro residents Higher PFOS, PFOA, PFHxS levels compared to US Blood levels correlated with concentrations in well water Follow-up conducted in 2010

24 Results: PFCs in Blood

25 Mercury in Blood* *Percent of U.S. women of child-bearing age with blood mercury above the health concern level, by race/ethnicity

26 Biomonitoring Programs CDCs National Biomonitoring Program (NHANES) State/local programs: Minnesota, California, Washington, New York City /

27 Next Steps Expand biomonitoring data on portal Maintain program capacity Conduct strategic planning for targeted population exposure tracking o Gather input from stakeholders o Focus on children and pregnant women o Prioritize chemicals o Recommend ongoing program for MN

28 Measuring Impact: Air quality and Health Air quality is associated with a variety of adverse health outcomes Exposures to fine particles are a primary driver of air pollution alerts in MN o Sources include: cars, trucks, buses, construction equipment, electric generators, wood-burning and wildfires, coal and oil industries

29 Fine Particle Pollution: PM 2.5

30 Measuring Impacts (local level) Regulatory or Policy Changes Reductions in Population Exposures Reductions in Adverse Health Outcomes PM 2.5 Respiratory diseases Cardiovascular disease Hospitalizations and Deaths

31 MN Air Initiatives Early Implementation Implementation Project Green Fleet retrofits Baseline Period continuous Heavy Duty Diesel Rule late 2006 Ultra Low Sulfur Fuel 2007 Clean Air Interstate Rule Adopted 2005; remanded 2008 MERP: Allen S. King emissions controls coal to natural gas MERP: High Bridge MERP: Riverside coal to natural gas 24-hr PM 2.5 NAAQS revision

32 Source: MN Pollution Control Agency

33 AQI: Number of Unhealthy Air Days in MN

34 Measuring Air Pollution Health Impacts Hospitalizations Amount attributable to PM 2.5 in Percent # hosp. per year Total respiratory1.9%224 COPD + asthma2.3%110 Asthma2.3%54 Associations found in the MSP metro for PM 2.5 and respiratory hospitalizations

35 Air Pollution Health Impacts Over Time HospitalizationsTime period Amount attributable to PM 2.5 Percent # hosp./yr Total respiratory % 2.6% COPD + asthma % 2.9% Asthma %

36 Coming in 2012 New data & features o New cancer types (7) o Childhood immunizations o Climate change (heat stress) o Population characteristics o Biomonitoring (additional chemicals) o Air pollution impacts on health o E-learning modules Custom data access Expanded outreach & evaluation

37 Evaluating New Data Topics Developmental disabilities (autism) Pesticide poisonings Private well water (arsenic) Radon Smoking, obesity

38 Success Stories

39 Vision Access to broad public health data sets Inform public health actions; evaluate effectiveness Promote healthy choices; protect future generations

40 Keeping Informed Subscribe for updates Attend seminars (quarterly) Request a demonstration

41 Web site:

42 Contributors (many!) Data stewards (MDH, MPCA) National Tracking Network (CDC, grantees) LPHA, LHDs, NACCHO

43 Subscribe for updates at: Questions? Chuck Stroebel Jean Johnson

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