A Model GISAtlas for State Comprehensive Cancer Control - PowerPoint PPT Presentation

Title: A Model GISAtlas for State Comprehensive Cancer Control


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A Model GIS/Atlas for State Comprehensive Cancer
Control

• Eugene J. Lengerich, VMD, MS
• Associate Professor,
• Division of Epidemiology,
• Penn State College of Medicine
• Director, Community Outreach and Education
• Penn State Cancer Institute
• Pennsylvania State University
• elengerich_at_psu.edu
• 2003-2006 Funding from the
• Association of American Medical Colleges
  (MM-0718) and
• Centers for Disease Control and Prevention

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If a picture is worth a thousand words, what is
a definitive map worth?
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Obesity Trends Among U.S. AdultsBRFSS, 1991,
1996, 2003
(BMI ?30, or about 30 lbs overweight for 54
person)
1996
2003
No Data lt10 1014
1519 2024 25
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Specific Aims-Model Cancer GIS/AtlasApplied to
colorectal and prostate cancer in Pennsylvania

• Determine concepts and methods to disseminate a
  model GIS/Atlas for state Comprehensive Cancer
  Control (CCC)
• Develop a model GIS/Atlas
• Investigate individual and contextual factors
  associated with the geographic distribution of
  cancer incidence

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1. Concepts and Methods for Dissemination
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Assessment of State Comprehensive Cancer Control
Plans 2004/5

• 38 plans available
• 14 (36.8) include mention or use examples of
  maps, GIS, atlas, geographic distribution of
  cancer
• Only 6 (42.9) of the 14 plans had any
  interactive mapping potential (15.8 of all plans
  available 12.2 of 49 funded states)

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Diffusion of Innovations

• Relative Advantage
• Compitability
• Complexity
• Trialability

• Observability
• Voluntariness
• Image
• Result Demonstrability

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2. Model GIS/Atlas
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Characteristics of Model GIS/Atlas

• Relevant to cancer control issues
• Director-friendly
• Multiple data sources
• Online
• Open-source
• Interactive
• Open standard

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SEER Prep
SAS
Cancer Prepped Data on Server 1
94-02 Individual-level Incidence Data on Server 1
Individual-level Analysis on Server 1
Juan Wu Gene Lengerich Gary Chase
SEER Stat
Aggregate-level Incidence Data on Server
2 (Geoserver)
Alan MacEachren James Macgill Steven Matthews
Flash
Client
Advisory Committee Dissemination
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Anatomy of the Colon
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3. Epidemiological Analysis
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Is the geographic distribution of the incidence
of ascending colon cancer similar to that for
descending colon cancer?

• Against
• Each screening technique does not have same test
  characteristics
• Different estimates of the risk and treatment
  benefit by cancer site
• Reported differences in incidence rate by race

• For
• Both cancers detected by screening
• Similar risk factors and treatment options

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Relative Incidence of Ascending and Descending
Colon Cancer
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Correlation of Colon Cancer Incidencewith
Area-level Contextual Factors,1994-98
Pennsylvania
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Conclusions

• Maps of health data have driven policy, program
  and funding decisions
• States have public health authority and
  responsibility for cancer prevention and control
• A model GIS/Atlas for state Comprehensive Cancer
  Control (CCC) can be developed and disseminated
• Individual and contextual variability may
  contribute to geographic patterns in the
  incidence of cancer in subsites of the colon and
  rectum

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Acknowledgements

• Alan MacEachren, PhD
• James Macgill, PhD
• Stephen Crawford, BS
• Matthew Mulbrandon, MS
• Anthony Robinson, MS
• Roxanne Parrott, PhD
• James Hobley, MD
• Thomas McGarrity, MD
• Juan Wu, MS
• Gary Chase, PhD
• Brenda Kluhsman, MSS
• Kelly Bixler, BS

• Association of American Medical Colleges (AAMC)
• Centers for Disease Control and Prevention (CDC)
• Pennsylvania Cancer Control Consortium (PAC3)
• American Cancer Society, PA Division (ACS)
• Pennsylvania Department of Health (PA DOH)

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Citations for Obesity Maps

• Source BRFSS, CDC.
• Source Mokdad A H, et al. JAMA 199928216.
• Source Mokdad A H, et al. JAMA 200128610.
• Source Mokdad A H, et al. JAMA 20032891.