Modeling travel distance to health care using geographic information systems Anupam Goel, MD Wayne State University Detroit, MI (USA)

Slides:



Advertisements
Similar presentations
Abt Associates Inc. In collaboration with: I Aga Khan Foundation I BearingPoint I Bitrán y Asociados I BRAC University I Broad Branch Associates I Forum.
Advertisements

Introduction to Arc GIS. Finding information graphically.
Using drivetime analysis to assess the availability of choice in maternity services Andrew Oliver, National Audit Office.
Looking at Stroke Mortality, Hospitalization and Service Delivery through Maps Presenters from the Iowa Department of Public Health Terry Meek, GIS Training.
Ellen F. Heineman, Ph.D. National Cancer Institute Epidemiology & Genetics Research Program The GIS for the Long Island Breast Cancer Study Project.
The Virginia Health Chart Book Steve Sedlock Executive Director, VANGHR Presentation: Public Health Network of Virginia Tech November 12, 2012.
Geographic Access to Primary Care Physicians in New Mexico Prepared for: Geog. 491(Problems) and Geog. 499 (Python programming) Fall Semester, 2014 Larry.
From portions of Chapter 8, 9, 10, &11. Real world is complex. GIS is used model reality. The GIS models then enable us to ask questions of the data by.
South Sacramento Data and Maps For The California Endowment
Claire DeVaughan U.S. Geological Survey NSDI Partnership Office Austin, Texas COGNA October 20, 2004 Integrating Local Data Sets into The National Map.
An Introduction to The Baltimore Neighborhood Indicators Alliance and Geographic Information Systems Cheryl Knott GIS Analyst BNIA-JFI University of Baltimore.
4.3.1 GIS 1 GEOGRAPHICAL INFORMATION SYSTEMS (GIS) UPA Package 4, Module 3.
Mapping Pharmacy Catchment Area Health Needs Sonderegger Research Center (SRC) UW School of Pharmacy Betty Chewning PhD, Korey Kennelty PharmD ABD, Dave.
Spatial Analysis of HIV and STD Disease Burden
West Hills College Farm of the Future. West Hills College Farm of the Future Where are you NOW?! Precision Agriculture – Lesson 3.
Geographic Information Systems ( GIS) Geography is the study of locational and spatial trends about the earth’s surface, the objects found on it, and the.
Using Geographic Information Systems to Create Meaningful Institutional Data and Analysis.
Clustered or Multilevel Data
MAKING THE INVISIBLE VISIBLE: INFORMATION TECHNOLOGY APPLICATIONS FOR HIV/AIDS PREVENTION & TREATMENT SERVICES Carla E. Stokes, MPH Larry M. Gant, CSW,
UNDERSTANDING SPATIAL DISTRIBUTION OF ASTHMA USING A GEOGRAPHICAL INFORMATION SYSTEM Mohammad A. Rob Management Information Systems University of Houston-Clear.
Map Analysis with Networks Francisco Olivera, Ph.D., P.E. Department of Civil Engineering Texas A&M University Some of the figures included in this presentation.
The Use of Geographic Information Systems (GIS) in IR Dan Jardine, Research Analyst Binghamton University (SUNY) AIRPO Alex Bay, New York June 13 th, 2003.
Geography is the study of locational and spatial trends about the earth’s surface, the objects found on it, and the people who inhabit it. GIS is a technology.
Introduction to the Use of Geographic Information Systems in Public Health Elio Spinello, MPH California State University, Northridge.
Michele Cataldi Christina Cho Cesar Gutierrez Jeff Hull Phillip Kim Andrew Park Sponsor Contact: Jason Pickering, PhD.Faculty Advisor: Julie Swann, PhD.
Geographic Access Gravity Model 1.Statement of Problem (Measurement) 2.The Theory and Method (Potential Accessibility) 3.Applications (Preliminary Maps)
Geographic Access Gravity Model 1.Statement of Problem (Measurement) 2.The Theory and Method (Potential Accessibility) 3.Applications (Examples -Preliminary.
GIS and Social Marketing at The Centers for Medicare & Medicaid Services Joan N.Gardner (Applied Geographics) Jodi Duckhorn (CMS) This project is funded.
MAP BASED ROUTING IN LARGE SCALE URBAN VEHICLE NETWORKS.
Using ArcGIS/SaTScan to detect higher than expected breast cancer incidence Jim Files, BS Appathurai Balamurugan, MD, MPH.
Evaluating the Concept of a Jobs- Housing Balance through LA County Diana Gonzalez Gonzalez 3/19/2012.
Access to Breast Cancer Screening in Nova Scotia: Describing Service Provision of the Nova Scotia Breast Screening Program (NSBSP) from Stephanie.
Effect of Cost-Sharing on Screening Mammography in Medicare Managed Care Plans Amal Trivedi, MD, MPH William Rakowski, PhD John Ayanian, MD, MPP 2007 AcademyHealth.
Preventive Health Care Use in Elderly Uterine Cancer Survivors Division of Health Policy and Management School of Public Health University of Minnesota.
Outcomes of screening mammography among women aged 40 to 43 Institute for Clinical Evaluative Sciences Toronto, Canada (2006)
Adaptive Kernel Density in Demographic Analysis Richard Lycan Institute on Aging Portland State University.
Using Dijkstra’s Algorithm to Find a Shortest Path from a to z 1.
1 1 ISyE 6203 Radical Tools Intro To GIS: MapPoint John H. Vande Vate Spring 2012.
An Introduction to The Network for a Healthy California GIS Viewer Welcome to Webinar Anthony Barnes Bhavdeep Sachdev 9:00am to 10:30am.
GIS Modeling for Primary Stroke Center Development Anna Kate Sokol, M.U.P. Sr. GIS Specialist City of South Bend, IN.
OVERVIEW GIS AN APPLICATION NATURAL RESOURCE By: Mangapul P.Tambunan Department of Geography Faculty of Mathematics and Natural Sciences University of.
Urban Evacuation to Rural Areas - Planning for Population Surge Michael Meit, M.A., M.P.H NORC at the University of Chicago.
Computers in Urban Planning Computational aids – implementation of mathematical models, statistical analyses Data handling & intelligent maps – GIS (Geographic.
Cameron Smith, GIS Manager.  Introductions A Geographic Information System or GIS is a computer system that allows you to map, model, query, and analyze.
GIS at DGR Geographic Information Systems A History of Innovative Public Service
A Geographic Analysis of Making Connections Movers: Preliminary Results Ned English, Colm O’Muircheartaigh, Cathy Haggerty, and Erika Garcia Presented.
Using ArcView to Create a Transit Need Index John Babcock GRG394 Final Presentation.
Why Is It There? Getting Started with Geographic Information Systems Chapter 6.
National Institute for Public Health and the Environment The Dutch RIF Experiences and possibilities.
GIS Geographical Information Systems. What is GI Geographical Information Any information that has a spatial element is Geographical. That is any information.
Cluster Detection Comparison in Syndromic Surveillance MGIS Capstone Project Proposal Tuesday, July 8 th, 2008.
GIS Methods: Applications to HIV and Family Planning Livia Montana UNC-Chapel Hill, Carolina Population Center Measurement, Learning & Evaluation Project.
Illustrating HIV/AIDS in the United States 2014 Update Detroit, MI.
Chapter 4 – Descriptive Spatial Statistics Scott Kilker Geog Advanced Geographic Statistics.
How Much Do Patients’ Preferences Contribute To Resource Use? Anthony D L, Herndon M B, et al. Health Affairs, 28, no. 3 (2009):
Judy S Caines, MD FRCP Gerald H Schaller, MD FRCP Jennifer I Payne, PhD Dolon Chakravartty, MHSc GIS as a Tool to Evaluate Breast Screening International.
Landscape of Geriatrics Spatial Geography for the Elderly Lisa K Chong Geography 557 April 15, 2009.
REACH Lay Health Worker Intervention Program: A Community-Based Model to Promote Breast Cancer Screening Among Vietnamese-American Women Gem M. Le, MHS.
Stream Names Stream names were assigned from the NHD reach shapefile. Names were assigned based on the most prevalent name within a basin (based on stream.
Hospital racial segregation and racial disparity in mortality after injury Melanie Arthur University of Alaska Fairbanks.
The Usual Source of Care and Delivery of Preventive Services to Medicare Beneficiaries Academy Health, June 2005 Hoangmai Pham, MD, MPH Deborah Schrag,
Peer Teaching Assignment CTCH 603 Chris Braun John Wallin.
Urban/Rural Differences in Survival Among Medicare Beneficiaries with Breast Cancer Melony E.S. Sorbero, Ph.D. RAND Corporation Funded by Health Resources.
GIS Software Applications in Epidemiology Marcus Liscombe Brent Croft GISC GIS MANAGEMENT AND IMPLEMENTATION.
Integrating Geographic Information Systems and Vehicle Operations Hal Bowman ESRI, Inc.
Are We There Yet? Distance to Pediatric Subspecialty Care in the US Michelle L. Mayer, PhD, MPH Research Assistant Professor Department of Health Policy.
Accessibility Assessment of WIC Clinics Gerel Oyun PA student GISC 6387 GIS Workshop Summer 2007.
Kevin A Henry, Ph.D New Jersey Cancer Registry Cancer Epidemiology Services Frank Boscoe, Ph.D New York State Cancer Registry Estimating the accuracy of.
Sudha Yerramilli and David Bandi National Center for Biodefense Communications, Jackson State University URISA GIS in Public Health Conference.
An Analysis of Organic Farms Proximity to Schools in Maine by Olivia Avidan (‘15) Abstract: This analysis identifies the number of organic farms within.
Presentation transcript:

Modeling travel distance to health care using geographic information systems Anupam Goel, MD Wayne State University Detroit, MI (USA)

Author’s background Initially, a research project Determine the distance to the closest mammogram center for Vermont women ages 40 and older Applications to other public health settings

Learning objectives Define GIS Recognize potential data sources for GIS projects Recognize some strengths and limitations of using GIS technology

Performance objectives Recognize variations in measuring geographical access Critically review an article using GIS

Geographic Information Systems (GIS) overview A method to visualize, manipulate, analyze, and display spatial data, information linked to a specific place Additional description of GIS

Geographic Information Systems (GIS) overview (cont.) Can include spatial data from many sources Applications include: environmental modeling, government or military uses, and business forecasting

Software choices Available GIS programs This presentation uses ESRI software, namely ArcView 3.2a and Network Analyst 1.1b ESRI software ArcView 3.2a Network Analyst 1.1b

Methods to measure access Distance to closest facility Straight-line Driving distance Number of facilities within a given distance Travel across political boundaries

Using this methodology for mammography utilization All relevant mammography facilities Assign women to representative points throughout the state Road atlas The shortest road distance from each group of women to a facility

Mammography facilities Mammography Facility Registry Subset of mammography facilities within Vermont and the surrounding counties Mobile mammography centers and Canadian centers not included

Estimating a woman’s location Eligible women within each Vermont ZIP code (Claritas, Inc.)Claritas, Inc. Assigned these women to the ZIP code population centroid (Geographic Data Technologies, Inc.)Geographic Data Technologies, Inc.

Estimating a woman’s location (cont.) X X X X X X X X X X X Residence Geographic centroid Population centroid G P G P

Road network Census 2000 county road networks All counties within Vermont (n=14) The US counties surrounding Vermont (n=10) Canadian roads were not included

Distance to closest facility Applied mathematics Graph theory Network optimization Dijkstra’s algorithm Dijkstra’s algorithm – a method to find the shortest path from a node to all other nodes connected by a network

What we found Median distance to travel for a mammogram in Vermont was 11.2 km (range, km) Women in the most populated ZIP codes traveled less for a mammogram than women in the least populated ZIP codes

Limitations Mammography from work instead of from home Mobile facilities not included No women surveyed for their actual driving distance Driving distance, not driving time

Implications of this project Two ways to place new facilities: 1) Reduce the longest distances traveled (place new facilities in rural areas) 2) Reduce the average distance Vermont women travel (place new facilities in urban areas with less access to mammography)

Next directions New data sources Census 2000Census 2000, Utilization files New questions Utilization in other areas, targeting interventions New analytic approaches Adjusting for covariates, spatial statistics

Acknowledgements University of Vermont Benjamin Littenberg, Richard G. Pinckney, Division of GIM Austin Troy, SNR Berta Geller and VBCSS National Cancer Institute funding 3 P30 CA S3 and 1 R03 CA