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Answering calls for rigorous health equity research: a cross-sectional study leveraging electronic health records for data disaggregation in Latinos

INTRODUCTION: 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...

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Autores principales: Heintzman, John, Dinh, Dang, Lucas, Jennifer A, Byhoff, Elena, Crookes, Danielle M, April-Sanders, Ayana, Kaufmann, Jorge, Boston, Dave, Hsu, Audree, Giebultowicz, Sophia, Marino, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186452/
https://www.ncbi.nlm.nih.gov/pubmed/37173093
http://dx.doi.org/10.1136/fmch-2022-001972
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author Heintzman, John
Dinh, Dang
Lucas, Jennifer A
Byhoff, Elena
Crookes, Danielle M
April-Sanders, Ayana
Kaufmann, Jorge
Boston, Dave
Hsu, Audree
Giebultowicz, Sophia
Marino, Miguel
author_facet Heintzman, John
Dinh, Dang
Lucas, Jennifer A
Byhoff, Elena
Crookes, Danielle M
April-Sanders, Ayana
Kaufmann, Jorge
Boston, Dave
Hsu, Audree
Giebultowicz, Sophia
Marino, Miguel
author_sort Heintzman, John
collection PubMed
description INTRODUCTION: 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). METHODS: 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 914 495 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. RESULTS: Country of birth was collected for 127 138 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. CONCLUSIONS: 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.
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spelling pubmed-101864522023-05-17 Answering calls for rigorous health equity research: a cross-sectional study leveraging electronic health records for data disaggregation in Latinos Heintzman, John Dinh, Dang Lucas, Jennifer A Byhoff, Elena Crookes, Danielle M April-Sanders, Ayana Kaufmann, Jorge Boston, Dave Hsu, Audree Giebultowicz, Sophia Marino, Miguel Fam Med Community Health Original Research INTRODUCTION: 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). METHODS: 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 914 495 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. RESULTS: Country of birth was collected for 127 138 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. CONCLUSIONS: 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. BMJ Publishing Group 2023-05-12 /pmc/articles/PMC10186452/ /pubmed/37173093 http://dx.doi.org/10.1136/fmch-2022-001972 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Original Research
Heintzman, John
Dinh, Dang
Lucas, Jennifer A
Byhoff, Elena
Crookes, Danielle M
April-Sanders, Ayana
Kaufmann, Jorge
Boston, Dave
Hsu, Audree
Giebultowicz, Sophia
Marino, Miguel
Answering calls for rigorous health equity research: a cross-sectional study leveraging electronic health records for data disaggregation in Latinos
title Answering calls for rigorous health equity research: a cross-sectional study leveraging electronic health records for data disaggregation in Latinos
title_full Answering calls for rigorous health equity research: a cross-sectional study leveraging electronic health records for data disaggregation in Latinos
title_fullStr Answering calls for rigorous health equity research: a cross-sectional study leveraging electronic health records for data disaggregation in Latinos
title_full_unstemmed Answering calls for rigorous health equity research: a cross-sectional study leveraging electronic health records for data disaggregation in Latinos
title_short Answering calls for rigorous health equity research: a cross-sectional study leveraging electronic health records for data disaggregation in Latinos
title_sort answering calls for rigorous health equity research: a cross-sectional study leveraging electronic health records for data disaggregation in latinos
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10186452/
https://www.ncbi.nlm.nih.gov/pubmed/37173093
http://dx.doi.org/10.1136/fmch-2022-001972
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