{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T23:14:19Z","timestamp":1777418059546,"version":"3.51.4"},"reference-count":35,"publisher":"BMJ","issue":"2","license":[{"start":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T00:00:00Z","timestamp":1683849600000},"content-version":"unspecified","delay-in-days":11,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"name":"National Institute of Health National Institute for Minority Health and Health Disparities","award":["K23MD015267"],"award-info":[{"award-number":["K23MD015267"]}]},{"name":"National Institute of Health National Institute for Minority Health and Health Disparities","award":["R01MD014120"],"award-info":[{"award-number":["R01MD014120"]}]},{"DOI":"10.13039\/100000867","name":"Robert Wood Johnson Foundation","doi-asserted-by":"publisher","award":["N.A"],"award-info":[{"award-number":["N.A"]}],"id":[{"id":"10.13039\/100000867","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["Fam Med Com Health"],"published-print":{"date-parts":[[2023,5]]},"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p>Country of birth\/nativity information may be crucial to understanding health equity in Latino populations and is routinely called for in health services literature assessing cardiovascular disease and risk, but is not thought to co-occur with longitudinal, objective health information such as that found in electronic health records (EHRs).<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>We used a multistate network of community health centres to describe the extent to which country of birth is recorded in EHRs in Latinos, and to describe demographic features and cardiovascular risk profiles by country of birth. We compared geographical\/demographic\/clinical characteristics, from 2012 to 2020 (9 years of data), of 914\u2009495 Latinos recorded as US-born, non-US-born and without a country of birth recorded. We also described the state in which these data were collected.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>Country of birth was collected for 127\u2009138 Latinos in 782 clinics in 22 states. Compared with those with a country of birth recorded, Latinos without this record were more often uninsured and less often preferred Spanish. While covariate adjusted prevalence of heart disease and risk factors were similar between the three groups, when results were disaggregated to five specific Latin countries (Mexico, Guatemala, Dominican Republic, Cuba, El Salvador), significant variation was observed, especially in diabetes, hypertension and hyperlipidaemia.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusions<\/jats:title><jats:p>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.<\/jats:p><\/jats:sec>","DOI":"10.1136\/fmch-2022-001972","type":"journal-article","created":{"date-parts":[[2023,5,12]],"date-time":"2023-05-12T13:55:19Z","timestamp":1683899719000},"page":"e001972","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":11,"title":["Answering calls for rigorous health equity research: a cross-sectional study leveraging electronic health records for data disaggregation in Latinos"],"prefix":"10.1136","volume":"11","author":[{"given":"John","family":"Heintzman","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dang","family":"Dinh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2895-9809","authenticated-orcid":false,"given":"Jennifer A","family":"Lucas","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Elena","family":"Byhoff","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Danielle M","family":"Crookes","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ayana","family":"April-Sanders","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jorge","family":"Kaufmann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dave","family":"Boston","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Audree","family":"Hsu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sophia","family":"Giebultowicz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miguel","family":"Marino","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"239","published-online":{"date-parts":[[2023,5,12]]},"reference":[{"key":"2023051206550742000_11.2.e001972.1","unstructured":"United States Department of Health and Human Services, Office of Minority Health . Profile: Hispanic Americans; 2022."},{"key":"2023051206550742000_11.2.e001972.2","unstructured":"Pew Research Center . Key facts about U.S. Latinos for Hispanic heritage month. 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