Evidence map›Paper›PMID 38686864›Full record

ArticleJournal of the American Heart Association2024

Hypertension Trends and Disparities Over 12 Years in a Large Health System: Leveraging the Electronic Health Records.

John E Brush, Yuan Lu, Yuntian Liu, Jordan R Asher, Shu-Xia Li, Mitsuaki Sawano, Patrick Young, Wade L Schulz, Mark Anderson, John S Burrows and 1 more

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Subclinical primary aldosteronism.Archives of endocrinology and metabolism · 2025
    Review
  5. Article
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.

John E BrushSentara Health Norfolk VA.ORCID 0000-0001-8192-494X
Yuan LuCenter for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.ORCID 0000-0001-5264-2169
Yuntian LiuCenter for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.ORCID 0000-0001-6571-6112
Jordan R AsherSentara Health Norfolk VA.ORCID 0009-0006-4664-3847
Shu-Xia LiCenter for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.ORCID 0000-0003-1261-079X
Mitsuaki SawanoCenter for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.ORCID 0000-0003-2789-1758
Patrick YoungDepartment of Laboratory Medicine Yale School of Medicine New Haven CT.
Wade L SchulzDepartment of Laboratory Medicine Yale School of Medicine New Haven CT.ORCID 0000-0002-2048-4028
Mark AndersonSentara Health Norfolk VA.
John S BurrowsSentara Health Norfolk VA.
Harlan M KrumholzCenter for Outcomes Research and Evaluation Yale-New Haven Hospital New Haven CT.ORCID 0000-0003-2046-127X

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Real-world Evidence to Inform Decisions for Hypertension Treatment EscalationR01HL169954 · NHLBI · YALE UNIVERSITY · PI Yuan Lu · 2023 to 2026
$2.6M
NCATS NIH HHS UL1 TR001863NHLBI NIH HHS R01 HL169954
6 · The paper itself

Abstract

backgroundThe digital transformation of medical data enables health systems to leverage real-world data from electronic health records to gain actionable insights for improving hypertension care. METHODS AND

resultsWe performed a serial cross-sectional analysis of outpatients of a large regional health system from 2010 to 2021. Hypertension was defined by systolic blood pressure ≥140 mm Hg, diastolic blood pressure ≥90 mm Hg, or recorded treatment with antihypertension medications. We evaluated 4 methods of using blood pressure measurements in the electronic health record to define hypertension. The primary outcomes were age-adjusted prevalence rates and age-adjusted control rates. Hypertension prevalence varied depending on the definition used, ranging from 36.5% to 50.9% initially and increasing over time by ≈5%, regardless of the definition used. Control rates ranged from 61.2% to 71.3% initially, increased during 2018 to 2019, and decreased during 2020 to 2021. The proportion of patients with a hypertension diagnosis ranged from 45.5% to 60.2% initially and improved during the study period. Non-Hispanic Black patients represented 25% of our regional population and consistently had higher prevalence rates, higher mean systolic and diastolic blood pressure, and lower control rates compared with other racial and ethnic groups.

conclusionsIn a large regional health system, we leveraged the electronic health record to provide real-world insights. The findings largely reflected national trends but showed distinctive regional demographics and findings, with prevalence increasing, one-quarter of the patients not controlled, and marked disparities. This approach could be emulated by regional health systems seeking to improve hypertension care.

Indexed as

Electronic Health RecordsHypertensionAdultAgedAntihypertensive AgentsBlood PressureBlood Pressure DeterminationCross-Sectional StudiesFemaleHealthcare DisparitiesHealth Status DisparitiesHumansMaleMiddle AgedPrevalenceTime FactorsAntihypertensive Agentshealth systemshypertension prevalenceracial disparitiesreal‐world data

Identifiers

PMID38686864
PMCPMC11179912

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LicenceCC BY-NC-ND
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Registered trials

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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.