4.0 Article

Geocoding precision of birth records from 2008 to 2017 in Kentucky, USA

Journal

GEOSPATIAL HEALTH
Volume 17, Issue 1, Pages -

Publisher

UNIV NAPLES FEDERICO II
DOI: 10.4081/gh.2022.1020

Keywords

Geocode; Kentucky; USA; birth; logistic regression; rural-urban continuum codes

Funding

  1. Education Research Center (ERC) [6U54OH007547]
  2. Berea College

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This study evaluated the geocoding precision of birth records in Kentucky over a ten-year period and identified factors associated with poor geocoding precision, such as race, education, and area deprivation.
Maternal address information captured on birth records is increasingly used to estimate residential environmental exposures during pregnancy. However, there has been limited assessment of the geocoding precision of birth records, particularly since the adoption of the 2003 standard birth certificate in 2015. To address this gap, this study evaluated the geocoding precision of live and stillbirth records of Kentucky residents over ten years, from 2008 through 2017. This study summarized the demographic character-istics of imprecisely geocoded records and, using a bivariate logis -tic regression, identified covariates associated with poor geocod-ing precision among three population density designations-metro, non-metro, and rural. We found that in metro areas, after adjusting for area deprivation, education, and the race, age and education of both parents, records for Black mothers had 48% lower odds of imprecise geocoding (aOR=0.52, 95% CI: 0.48, 0.56), while Black women in rural areas had 96% higher odds of imprecise geocoding (aOr=1.96, 95% CI: 1.68, 2.28). This study also found that over the study period, rural and non-metro areas began with a high proportion of imprecisely geocoded records (38% in rural areas, 19% in non-metro), but both experienced an 8% decline in imprecisely geocoded records over the study period (aOr=0.92, 95% CI: 0.92, 0.94). This study shows that, while geocoding pre-cision has improved in Kentucky, further work is needed to improve geocoding in rural areas and address racial and ethnic disparities.

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