Answering calls for rigorous health equity research: a cross-sectional study leveraging electronic health records for data disaggregation in Latinos.
John HeintzmanDang DinhJennifer A LucasElena ByhoffDanielle M CrookesAyana April-SandersJorge KaufmannDave BostonAudree HsuSophia GiebultowiczMiguel MarinoPublished in: Family medicine and community health (2023)
In a multistate network, thousands of non-US-born, US-born and patients without a country of birth recorded had differing demographic characteristics, but clinical variation was not observed until data was disaggregated into specific country of origin. State policies that enhance the safety of immigrant populations may enhance the collection of health equity related data. Rigorous and effective health equity research using Latino country of birth information paired with longitudinal healthcare information found in EHRs might have significant potential for aiding clinical and public health practice, but it depends on increased, widespread and accurate availability of this information, co-occurring with other robust demographic and clinical data nativity.
Keyphrases
- electronic health record
- public health
- healthcare
- health information
- global health
- gestational age
- big data
- clinical decision support
- mental health
- primary care
- adverse drug
- machine learning
- newly diagnosed
- prognostic factors
- mass spectrometry
- artificial intelligence
- preterm birth
- cross sectional
- risk factors
- quality improvement
- pregnancy outcomes
- health insurance