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Methods for Retrospective Geocoding in Population Studies: The Jackson Heart Study

eagle-i ID

http://jsu.eagle-i.net/i/0000012e-0b08-4c05-d3a1-177580000000

Resource Type

  1. Cohort study

Properties

  1. Additional Topic(s)
    Cardiovascular disease
  2. Additional Topic(s)
    Geographic information systems (GIS)
  3. Resource Description
    "The increasing use of geographic information systems (GIS) in epidemiological population studies requires careful attention to the methods employed in accomplishing geocoding and creating a GIS. Studies have provided limited details, hampering the ability to assess validity of spatial data. The purpose of this paper is to describe the multiphase geocoding methods used to retrospectively create a GIS in the Jackson Heart Study (JHS). We used baseline data from 5,302 participants enrolled in the JHS between 2000 and 2004 in a multiphase process to accomplish geocoding 2 years after participant enrollment. After initial deletion of ungeocodable addresses (n=52), 96% were geocoded using ArcGIS. An interactive method using data abstraction from participant records, use of additional maps and street reference files, and verification of existence of address, yielded successful geocoding of all but 13 addresses. Overall, nearly 99% (n=5,237) of the JHS cohort was geocoded retrospectively using the multiple strategies for improving and locating geocodable addresses. Geocoding validation procedures revealed highly accurate and reliable geographic data. Using the methods and protocol developed provided a reliable spatial database that can be used for further investigation of spatial epidemiology. Baseline results were used to describe participants by select geographic indicators, including residence in urban or rural areas, as well as to validate the effectiveness of the study’s sampling plan. Further, our results indicate that retrospectively developing a reliable GIS for a large, epidemiological study is feasible. This paper describes some of the challenges in retrospectively creating a GIS and provides practical tips that enhanced the success." Keywords: African Americans, Jackson Heart Study, Cohort studies, Geocoding, Geographic information systems, Spatial distribution
  4. Contact
    Taylor, Jr., Herman A.
  5. PI
    Taylor, Jr., Herman A.
  6. Topic
    cardiovascular system disease
  7. Study Population
    5,302 participants enrolled in the JHS between 2000 and 2004
  8. Related Publication or Documentation
    Methods for retrospective geocoding in population studies: the Jackson Heart Study
  9. Funded by
    National Center for Minority Health and Health Disparities
  10. Funded by
    National Heart, Lung, and Blood Institute
  11. Performed by
    Jackson Heart Study
 
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Copyright © 2016 by the President and Fellows of Harvard College
The eagle-i Consortium is supported by NIH Grant #5U24RR029825-02 / Copyright 2016