Evidence map›Paper›PMID 41350103›Full record

ArticleJACC. Advances2025

Implementing Equitable Hypertension Care Using a Remote Patient Monitoring Program: A Mixed Methods Study.

Amber E Johnson, Kevin Pearlman, Ria Sood, Alicia Dawdani, Alexis Aranda-Hernadez, Mustafa Agha Al Kola, Seyed Ehsan Saffari, Ahmad Bearat, Corey E Tabit, Lisa M Vinci and 2 more

Abstract read
In one paragraph

Article in JACC. Advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Amber E JohnsonThe University of Chicago Pritzker School of Medicine, Chicago, Illinois, USA; Section of Cardiology, Department of Medicine, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA. Electronic address: amberj@uchicago.edu.
Kevin PearlmanSection of Cardiology, Department of Medicine, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA; Section of General Internal Medicine, Department of Medicine, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.
Ria SoodSection of Cardiology, Department of Medicine, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.
Alicia DawdaniClinical Research Institute - Data Warehouse, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.
Alexis Aranda-HernadezIllinois Wesleyan University, Chicago, Illinois, USA.
Mustafa Agha Al KolaSection of Cardiology, Department of Medicine, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.
Seyed Ehsan SaffariSection of Cardiology, Department of Medicine, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.
Ahmad BearatSection of Cardiology, Department of Medicine, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.
Corey E TabitThe University of Chicago Pritzker School of Medicine, Chicago, Illinois, USA; Section of Cardiology, Department of Medicine, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.
Lisa M VinciSection of Cardiology, Department of Medicine, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA; Section of General Internal Medicine, Department of Medicine, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.
Tamar S PolonskyThe University of Chicago Pritzker School of Medicine, Chicago, Illinois, USA; Section of Cardiology, Department of Medicine, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.
Sachin D ShahThe University of Chicago Pritzker School of Medicine, Chicago, Illinois, USA; Section of General Internal Medicine, Department of Medicine, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA; Clinical Research Institute - Data Warehouse, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA; Department of Pediatrics, Biological Sciences Division, University of Chicago, Chicago, Illinois, USA.

Funding

Mobile Health for Enhanced Hypertension Self-Management in Underserved Urban ResidentsK23HL165110 · NHLBI · UNIVERSITY OF CHICAGO · PI Amber Elaine Johnson · 2023 to 2026
$699k
NHLBI NIH HHS K23 HL165110
6 · The paper itself

Abstract

backgroundSystems-level approaches can promote equitable hypertension outcomes. Remote patient monitoring (RPM) is a patient-centered hypertension solution, but successful implementation strategies require further exploration.

objectivesThis study was designed to determine social and institutional factors of RPM utilization at an academic medical center.

methodsWe used a mixed methods study design. Using logistic regression, we retrospectively assessed the relation of sociodemographic variables with RPM engagement, achievement of normotension, and maintenance of normotension at 180 days post-RPM. We completed Cox regression and Kaplan-Meier analyses to investigate the association of level of engagement and achieving normotension outcome. To augment the quantitative analysis, we concurrently interviewed RPM staff members to assess systems-level themes of RPM program implementation. The interviews were recorded, transcribed, and inductively coded using a validated implementation framework.

resultsWe analyzed 1744 RPM program participants (mean age 63.1 years, 64.7% female, 82.6% Black) between May 2022 and August 2024. Patients with higher RPM engagement were older than those with lower engagement (65.6 years vs 62.3 years). The high engagement group differed by race, with more Black individuals in the high engagement group. High engagement (OR: 2.06; 95% CI: 1.51-2.84; P < 0.001) was associated with likelihood of normotension and had a shorter time to normotension (HR: 2.52; 95% CI: 2.14-2.98; P < 0.001). Ten key staff provided important insights of barriers and facilitators of RPM implementation that converged with statistical analyses.

conclusionsAn RPM program successfully improved blood pressure care, especially among patients with higher program engagement. These findings reveal opportunities for achieving equitable hypertension outcomes.

Indexed as

blood pressuredigital equityhealth disparitiesmixed methods researchtechnology use

Identifiers

PMID41350103
PMCPMC12717605

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.