Evidence map›Paper›PMID 37173093›Full record

ArticleFamily medicine and community health2023

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

John Heintzman, Dang Dinh, Jennifer A Lucas, Elena Byhoff, Danielle M Crookes, Ayana April-Sanders, Jorge Kaufmann, Dave Boston, Audree Hsu, Sophia Giebultowicz and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Family medicine and community health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.2field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  5. Lung Cancer Screening by Nativity Among Latino Community Health Center Patients.Journal of the American Board of Family Medicine : JABFM · 2025
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 1 country.

John HeintzmanFamily Medicine, Oregon Health & Science University, Portland, Oregon, USA heintzma@ohsu.edu.
Dang DinhFamily Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Jennifer A LucasFamily Medicine, Oregon Health & Science University, Portland, Oregon, USA.ORCID 0000-0002-2895-9809
Elena ByhoffDepartment of Medicine, University of Massachusetts, Boston, Massachusetts, USA.
Danielle M CrookesCollege of Social Sciences and Humanities, Northeastern University, Boston, Massachusetts, USA.
Ayana April-SandersRutgers School of Public Health, Piscataway, New Jersey, USA.
Jorge KaufmannFamily Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Dave BostonOCHIN, Portland, Oregon, USA.
Audree HsuCalifornia University of Science and Medicine, Colton, California, USA.
Sophia GiebultowiczOCHIN, Portland, Oregon, USA.
Miguel MarinoFamily Medicine, Oregon Health & Science University, Portland, Oregon, USA.
Oregon Health & Science University · USOchin · USNortheastern University · USRutgers, The State University of New Jersey · USUniversity of Massachusetts Boston · US

Funding

FOCUS: Foreign Born Latinos Cardiovascular ScreeningR01MD014120 · NIMHD · OREGON HEALTH & SCIENCE UNIVERSITY · PI HEINTZMAN, JOHN · 2020 to 2024
$2.0M
Increasing SNAP enrollment in a diverse Latinx communityK23MD015267 · NIMHD · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BYHOFF, ELENA · 2020 to 2024
$817k
NIMHD NIH HHS K23 MD015267NIMHD NIH HHS R01 MD014120
6 · The paper itself

Abstract

introductionCountry 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).

methodsWe 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.

resultsCountry 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.

conclusionsIn 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.

Indexed as

Health EquityCross-Sectional StudiesElectronic Health RecordsHispanic or LatinoHumansRisk FactorsHealth EquityHealth Policy

Identifiers

PMID37173093
PMCPMC10186452
OpenAlexW4376630551

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.