Spatial implications associated with using Euclidean distance measurements and geographic centroid imputation in health care research

Health Serv Res. 2010 Feb;45(1):316-27. doi: 10.1111/j.1475-6773.2009.01044.x. Epub 2009 Sep 24.

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.

MeSH terms

  • Automobile Driving
  • Geographic Information Systems / statistics & numerical data*
  • Health Facilities
  • Health Services Accessibility*
  • Health Services Research / methods*
  • Health Services Research / statistics & numerical data
  • Housing
  • Models, Statistical*
  • Postal Service / statistics & numerical data
  • Regression Analysis
  • United States