Geographic Access Gravity Model PowerPoint PPT Presentation

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Title: Geographic Access Gravity Model


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Geographic Access Gravity Model
  • Statement of Problem (Measurement)
  • The Theory and Method (Potential Accessibility)
  • Applications (Examples -Preliminary
    Maps)
  • Future Directions (Data Model
    Improvements)
  • Feedback from Others (Discussion)

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The Problem(s) - Measurement
  • How to MEASURE geographic access to health care
    providers and facilities?
  • The proposed solution - Develop a reliable method
    to MEASURE (and compare) the distribution of
    facilities/providers and the population.
  • Reliable MEASUREMENT requires a geographic
    framework in which to collect and organize
    observations.

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The Problem(s)
  • Reliable MEASUREMENT requires a common scale that
    allows for relative comparison of values.
  • Reliable MEASUREMENT requires a method to handle
    arbitrary boundaries imposed by a data collection
    geographic framework.

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The Geographic Framework - ZIP Codes
  • Health care data (patient, provider, facility,
    etc.) have many geographic (locational)
    components.
  • Some geographic components are geographic
    coordinates, county, census block and tract,
    etc.).
  • An address with a ZIP Code is a commonly used
    geographic component and provides sufficient
    spatial resolution (many and delineated following
    population). They are our choice.

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NM ZIP Codes
  • US Postal Service delivery areas.
  • Some ZIP Codes do not have rural delivery and
    mail is picked up at the Post Office.
  • There can be multiple ZIP Codes per post office
    (delivery and no delivery).
  • DGR has prepared a ZIP Code base map (coverage)
    for NM with 400 ZIP Codes for mapping HPC Data
    (new ZIP Codes are being added - Currently 403).
  • We added (estimated) boundaries for 125 ZIP Codes
    (USPS review).

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A Common Measurement Scale
  • Service Capacity Standards (traditional measure -
    Fed. and State guidelines).
  • Ratio of provider or facilities per population.
  • Can be expressed as either
  • One M.D. per 1,500 persons (Prov./ Pop.)
  • 1,500 persons per M.D. (POP. / Prov.) What we use.

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The Boundary Problem
  • Traditional measures (service capacity standards)
    NOT very good. Problem of arbitrary boundaries.
  • Does NOT consider that people move among
    communities or political/data collection units to
    obtain medical services.
  • Nobody pays attention to what ZIP Code their
    doctor is in.
  • Does NOT consider distance (close or far).

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The Theory
  • Spatial Interaction - The closer together
    phenomena are the easier it is for interaction to
    take place and the more similar they are.
    (Toblers Law 1st Law of Geography).
  • Spatial Interaction - Assumed to decline with
    increasing distance.
  • Distance Decay - The result of declining
    interaction - termed friction of distance.

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The Method (Spatial Analysis)
  • Gravity Models have been used in economics and
    social sciences since William Reily (Univ. of
    Texas) proposed the idea in 1929.
  • Gravity Models have been traditionally used in
    retail studies, but recently in health care.
  • Gravity Models allow for the measurement of
    spatial interaction as a function of distance.

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Original (Retail) Gravity Model
or
Interaction between two areas i and j
Population of each area
Distance between areas
Distance exponent - the higher the greater the
friction of distance
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Market area definition (polygons)
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Potential AccessibilityDGRs Gravity Model
PAj Potential Accessibility for ZIP Code j
popi Population of ZIP Code i
provi Number of providers/facilitie
s in ZIP Code i   f(dij) 1
for all dij all 35 for all dij 100  
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Distance Decay(Rule-Based Function)
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Test Applications
  • Have done initial development and testing.
  • Preliminary survey data used to test gravity
    model.
  • Also population estimates for ZIP Codes.
  • Test maps for
  • Hospital Beds
  • Primary Care Physicians
  • Registered Nurses
  • General Dentists

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Future Directions
  • Use new (improved) data from licensing boards on
    a quarterly basis.
  • Train HPC staff to use the Excel and SAS based
    version.
  • Develop with ArcView 3.x and Avenue scripts (was
    being considered in 1999).
  • Develop a new version using ArcGIS (ArcMap) and
    ArcObjects (VB/A).
  • Address the Edge Problem --
    Peripheral area data (Arizona, Colorado, Texas
    and Mexico?)

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Future Directions
  • Enhance gravity model for demographic and risk
    factor analyses. (multivariate techniques data
    available from ESRI BIS/ArcView Business
    Analyst).
  • Investigate using travel time instead of straight
    line distance (NM roads Arc/Info network
    coverage)
  • Review recent literature.
  • Prepare a presentation and publication.

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Questions and Open Discussion
  • Internal Web Page
  • wwwdgr.unm.edu/hpc/hpc_grav.html
  • Has MORE DETAIL Was Up to date

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