IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v12y2015i9p11670-11682d55894.html
   My bibliography  Save this article

Assessment of Residential History Generation Using a Public-Record Database

Author

Listed:
  • David C. Wheeler

    (Department of Biostatistics, Virginia Commonwealth University, One Capitol Square, 830 East Main Street, Richmond, VA 23298, USA)

  • Aobo Wang

    (Department of Biostatistics, Virginia Commonwealth University, One Capitol Square, 830 East Main Street, Richmond, VA 23298, USA)

Abstract

In studies of disease with potential environmental risk factors, residential location is often used as a surrogate for unknown environmental exposures or as a basis for assigning environmental exposures. These studies most typically use the residential location at the time of diagnosis due to ease of collection. However, previous residential locations may be more useful for risk analysis because of population mobility and disease latency. When residential histories have not been collected in a study, it may be possible to generate them through public-record databases. In this study, we evaluated the ability of a public-records database from LexisNexis to provide residential histories for subjects in a geographically diverse cohort study. We calculated 11 performance metrics comparing study-collected addresses and two address retrieval services from LexisNexis. We found 77% and 90% match rates for city and state and 72% and 87% detailed address match rates with the basic and enhanced services, respectively. The enhanced LexisNexis service covered 86% of the time at residential addresses recorded in the study. The mean match rate for detailed address matches varied spatially over states. The results suggest that public record databases can be useful for reconstructing residential histories for subjects in epidemiologic studies.

Suggested Citation

  • David C. Wheeler & Aobo Wang, 2015. "Assessment of Residential History Generation Using a Public-Record Database," IJERPH, MDPI, vol. 12(9), pages 1-13, September.
  • Handle: RePEc:gam:jijerp:v:12:y:2015:i:9:p:11670-11682:d:55894
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/12/9/11670/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/12/9/11670/
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daniel Wiese & Antoinette M. Stroup & Aniruddha Maiti & Gerald Harris & Shannon M. Lynch & Slobodan Vucetic & Victor H. Gutierrez-Velez & Kevin A. Henry, 2021. "Measuring Neighborhood Landscapes: Associations between a Neighborhood’s Landscape Characteristics and Colon Cancer Survival," IJERPH, MDPI, vol. 18(9), pages 1-19, April.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:12:y:2015:i:9:p:11670-11682:d:55894. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.