Résumé :
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[BDSP. Notice produite par INIST-CNRS R0x3bhJU. Diffusion soumise à autorisation]. Objectives. This study sought to determine the accuracy of geocoding for public health databases. Methods. A test file of 70 addresses, 50 of which involved errors, was generated, and the file was geocoded to the census tract and block group levels by 4 commercial geocoding firms. Also, the "real world" accuracy of the best-performing firm was evaluated. Results. Accuracy rates in regard to geocoding of the test file ranged from 44% (95% confidence interval [CI]=32%, 56%) to 84% (95% CI=73%, 92%). The geocoding firm identified as having the best accuracy rate correctly geocoded 96% of the addresses obtained from the public health databases. Conclusions. Public health studies involving geocoded databases should evaluate and report on methods used to verify accuracy.
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