The utility of EMR address histories for assessing neighborhood exposures

Ann Epidemiol. 2017 Jan;27(1):20-26. doi: 10.1016/j.annepidem.2016.07.016. Epub 2016 Aug 20.

Abstract

Purpose: Electronic medical records (EMRs) include residential address histories, which may alleviate exposure misclassification caused by exclusion of patient spatiotemporal location. EMR data are increasingly available but rarely leveraged as a measure of cumulative environmental exposure, in part due to limited understanding of the validity of EMR-derived address histories.

Methods: We compared EMR address histories to self-reported histories among 100 patients of a safety-net health care system completing a telephone survey. We assessed agreement and compared seven neighborhood-level environmental exposures as assessed using both data sources.

Results: While 17.1% of respondents did not live at the most recent EMR-derived address during the survey, nearly all (98%) lived there at some point. For respondents with more than one EMR-derived address (N = 64), 87.5% had once lived at the previous EMR address. Of these, 30.4% lived at 1 or more additional residences between the two most recent EMR address. For all measures, neighborhood-level environmental exposures did not differ when using EMR-derived versus self-report addresses.

Conclusions: More recent EMR-derived addresses are more accurate, and differences compared to self-reported addresses in neighborhood-level exposures are negligible. EMR-derived address histories are incomplete and likely suffer from collection bias; future research should further assess their validity and reliability.

Keywords: Electronic medical record; Geographic information systems; Neighborhoods; Residential mobility.

Publication types

  • Comparative Study

MeSH terms

  • Air Pollution / adverse effects
  • Air Pollution / statistics & numerical data*
  • Bias
  • Cross-Sectional Studies
  • Electronic Health Records / statistics & numerical data*
  • Environmental Exposure / adverse effects
  • Environmental Exposure / statistics & numerical data
  • Female
  • Geographic Information Systems
  • Humans
  • Male
  • Population Dynamics*
  • Reproducibility of Results
  • Residence Characteristics*
  • Self Report / statistics & numerical data*
  • United States