Disaggregating Latino nativity in equity research using electronic health records.

ABSTRACT:

Objective

To develop and validate prediction models for inference of Latino nativity to advance health equity research.

Data sources/study setting

This study used electronic health records (EHRs) from 19,985 Latino children with self-reported country of birth seeking care from January 1, 2012 to December 31, 2018 at 456 community health centers (CHCs) across 15 states along with census-tract geocoded neighborhood composition and surname data.

Study design

We constructed and evaluated the performance of prediction models within a broad machine learning framework (Super Learner) for the estimation of Latino nativity. Outcomes included binary indicators denoting nativity (US vs. foreign-born) and Latino country of birth (Mexican, Cuban, Guatemalan). The performance of th

SUBMITTER: Marino M 

PROVIDER: S-EPMC10480087 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature