Potential selection bias associated with using geocoded birth records for epidemiologic research

Annals of Epidemiology
Sandie HaXiaohui Xu

Abstract

There is an increasing use of geocoded birth registry data in environmental epidemiology research. Ungeocoded records are routinely excluded. We used classification and regression tree analysis and logistic regression to investigate potential selection bias associated with this exclusion among all singleton Florida births in 2009 (n = 210,285). The rate of unsuccessful geocoding was 11.5% (n = 24,171). This ranged between 0% and 100% across zip codes. Living in a rural zip code was the strongest predictor of being ungeocoded. Other predictors for geocoding status varied with urbanity status. In urban areas, maternal race (adjusted odds ratio [aOR] ranging between 1.08 for Hispanic and 1.18 for black compared to white), maternal age [aOR: 1.16 (1.10-1.23) for ages 20-34 compared to <20], maternal nativity [aOR: 1.20 (1.15-1.25) for non-US versus US born], delivery at a birth center [aOR: 1.72 (1.49-2.00) compared to hospital delivery], multiparity [aOR: 0.91 (0.88-0.94)], maternal smoking [aOR: 0.82 (0.76-0.88)], and having nonprivate insurance [aOR: 1.25 (1.20-1.30) for Medicaid versus private insurance] were significantly associated with being ungeocoded. In rural areas, births delivered at birth center [aOR: 2.91 (1.80-4.73)]...Continue Reading

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Citations

Nov 11, 2017·Journal of the American Medical Informatics Association : JAMIA·Cole BrokampPatrick Ryan
May 26, 2018·American Journal of Epidemiology·Joan A CaseyRachel Morello-Frosch

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