Evidence map›Paper›PMID 42192076›Full record

ArticleJournal of racial and ethnic health disparities2026

Rethinking Hypertension Diagnosis in Black Adults: Clinical Challenges and Missed Opportunities.

Conisha Mason

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of racial and ethnic health disparities, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

1 author.

Conisha MasonJacksonville University, Jacksonville, FL, USA. cmason9@jacksonville.edu.ORCID http://orcid.org/0009-0004-8244-7400

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hypertension disproportionately affects Black adults in the United States, contributing to earlier onset, greater disease severity, and increased cardiovascular morbidity and mortality (CDC, 2024; Office of Minority Health, 2024). Despite advances in screening and treatment, persistent diagnostic challenges, ranging from improper blood pressure (BP) measurement techniques to limited use of home and ambulatory BP monitoring, continue to contribute to delayed or missed diagnoses in this population (Adediran, 2024). Although established screening and treatment guidelines exist, diagnostic gaps remain, delaying intervention and worsening clinical outcomes. This manuscript examines challenges in diagnosing hypertension among Black adults and highlights opportunities to enhance early detection through equity-focused, community-engaged strategies. It argues for a re-envisioning of hypertension diagnosis by shifting from a narrow, clinic-based model to an equity-centered framework that integrates accurate measurement, patient-specific risk assessment, and community-anchored approaches. Nurse practitioners and other frontline clinicians are uniquely positioned to advance this shift through the use of culturally responsive education, high-touch engagement, and high-tech monitoring tools to improve early detection and management. Rethinking hypertension diagnosis requires a context-aware, equity-driven approach that prioritizes precision, access, and individualized care. Implementing these strategies may reduce disparities, enhance early intervention, and improve cardiovascular outcomes among Black adults, including those identified as African American in national datasets (CDC, 2024; Office of Minority Health, 2024).

Indexed as

Ambulatory blood pressure monitoringBlack healthDiagnostic equityHealth disparitiesHypertensionNurse practitioner

Identifiers

What OpenQuestion holds

Textmetadata
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.