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1
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2
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- Philadelphia, 2004 presentations:
- Eric Roberts (Wed, 1:30 pm):
Demonstration project overview
- Michelle Wong (Wed, 6:00 pm):
Stakeholder characteristics, findings, and conclusions from
participation in first demonstration project meeting
- Paul English (Thurs, 11:00 am):
Visualization and analytic methods for the tracking of birth
outcomes and traffic exposure
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3
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4
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- Where: Alameda County
- When: 2001
- What to track:
- Adverse birth outcomes
- Asthma
- Traffic pollution exposure
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5
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- Jan-04: Introduction; birth
outcomes findings
- May-04: Asthma findings; review
birth outcomes materials
- Sep-04: Traffic findings; review
asthma materials
- Jan-05: Associations between
traffic and health; review traffic materials
- May-05: Review associations
materials; wrap-up
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6
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- Birth certificates (Vital Records) collected by counties and some
municipalities
- File (without names or SSNs) obtained from California Center for Health
Statistics
- All births in 2001 where mother resided in Alameda County were included
(n= 22,041)
- Singletons only (no twins or triplets)
- 96.1% of maternal addresses were successfully geocoded
- Final sample size was 19,540
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7
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- Overall, the preterm birth rate was 8.5% (Confidence interval 8.2-8.9)
- Overall, the term-low birthweight rate was 2.5% (Confidence interval
2.2-2.7)
- Previously documented racial and SES disparities were clearly evident in
this sample
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8
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9
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- Prefer higher resolution for Tracking purposes
- Crossing the street from one zip code to another should not appear to
take you from one level of risk to another
- Interested in multiple ways to visualize data for use in discussions
with stakeholders
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10
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11
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- Representation of statistical significance:
- Some “hot spots” may be random variation
- Spatial autocorrelation and overlapping area buffers violate assumption
of independence of rates
- Monte Carlo simulation used to calculate significance
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12
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13
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- Diagnosis based on a constellation of symptoms and findings—need a
survey (+/- physical exam) to determine prevalence
- School nursing infrastructure (e.g. Massachusetts) not available in
California
- For this project we are interested in ongoing surveillance systems
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14
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- Private: Kaiser-Permanente of Northern California; 577,687 people or
6,030,910 person-months
- Broadly representative of Alameda County population
- Public: Medi-Cal; 227,086 people
or 2,203,739 person-months
- Half of these beneficiaries are enrolled in managed care plans—data for
these are very incomplete
- For this project we will only use fee-for-service beneficiaries
- Confounding issue:
Kaiser-Permanente clinicians have uniform, higher standard of
care; different geographic distribution of patients
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15
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16
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17
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18
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- Wide variety of stakeholders came to meeting with ideas about Tracking
and its uses
- Visualization tools (maps, interactive GIS interface) helped to
- Enable rich discussion about data needs and uses of EPHT
- Make statistical issues more accessible to stakeholders
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19
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- Stakeholders expressed interest in comparison of health outcomes with
- School data
- Air quality data
- Locations of health care facilities
- Economic and social characteristics of neighborhoods
- Working concept of environment inclusive of both physical and social
surroundings
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20
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- Analysis of stakeholder feedback
- Prepare information materials based on feedback
- Incorporate recommendations into ongoing analyses
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21
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- Principle Investigator
- Paul English, PhD MPH
- Research Director
- Geoff Lomax, DrPH
- IT/GIS Manager
- Craig Wolff, MS Eng
- Administration
- Maile Newman
- Community Health Education
- Michelle Wong, MPH
- Mimi Johnson, MPH
- Eddie Oh, MPH
- University of California Center for Excellence
- Jonathan Balmes, MD
- Ira Tager, PhD
- Amy Kyle, PhD
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