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Spatial Implications Associated with Using Euclidean Distance Measurements and Geographic Centroid Imputation in Health Care Research

Authors

  • Stephen G. Jones,

    1. BlueCross BlueShield of Tennessee, Medical Informatics Department, Chattanooga, TN
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    • Address correspondence to Stephen G. Jones, M.S., BlueCross BlueShield of Tennessee, Medical Informatics Department, 1 Cameron Hill Circle, Bldg. 2.1, Chattanooga, TN 37402; e-mail: stephen_jones@bcbst.com. Avery J. Ashby, M.S., Soyal R. Momin, M.S., M.B.A., and Allen Naidoo, Ph.D., are with the BlueCross BlueShield of Tennessee, Medical Informatics Department, Chattanooga, TN.

  • Avery J. Ashby,

    1. BlueCross BlueShield of Tennessee, Medical Informatics Department, Chattanooga, TN
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  • Soyal R. Momin,

    1. BlueCross BlueShield of Tennessee, Medical Informatics Department, Chattanooga, TN
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  • Allen Naidoo

    1. BlueCross BlueShield of Tennessee, Medical Informatics Department, Chattanooga, TN
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Abstract

Objective. To determine the effect of using Euclidean measurements and zip-code centroid geo-imputation versus more precise spatial analytical techniques in health care research.

Data Sources. Commercially insured members from a southeastern managed care organization.

Study Design. Distance from admitting inpatient facility to member's home and zip-code centroid (geographic placement) was compared using Euclidean straight-line and shortest-path drive distances (measurement technique).

Data Collection. Administrative claims from October 2005 to September 2006.

Principal Findings. Measurement technique had a greater impact on distance values compared with geographic placement. Drive distance from the geocoded address was highly correlated (r=0.99) with the Euclidean distance from the zip-code centroid.

Conclusions. Actual differences were relatively small. Researchers without capabilities to produce drive distance measurements and/or address geocoding techniques could rely on simple linear regressions to estimate correction factors with a high degree of confidence.

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