Evidence map›Paper›PMID 40209840›Full record

ArticleAmerican heart journal2025

Implementing remote patient monitoring to improve hypertension control in a primary care network: Rationale and design of the monitor-BP Cluster Randomized Trial.

Nadia Liyanage-Don, Erica Phillips, Joseph E Schwartz, Melinda J Chang, Maria-Jose Lopez-Sanchez, Harry West, Brandon K Bellows, Jessica Singer, Nadine Dandan, Min Qian and 5 more

Abstract readClinical Trial Protocol
In one paragraph

Article in American heart journal, 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

15 authors.

Nadia Liyanage-DonCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY; Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
Erica PhillipsDivision of General Internal Medicine, Weill Cornell Medicine, New York, NY.
Joseph E SchwartzCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY; Department of Psychiatry and Behavioral Health, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY.
Melinda J ChangCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY.
Maria-Jose Lopez-SanchezCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY.
Harry WestDepartment of Industrial Engineering and Operations Research, School of Engineering and Applied Science, Columbia University, New York, NY.
Brandon K BellowsDivision of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
Jessica SingerDivision of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
Nadine DandanDivision of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
Min QianDepartment of Biostatistics, Mailman School of Public Health, Columbia University, New York, NY.
Luis BlancoCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY.
Adina FraserDigital Health Innovations, New York Presbyterian Hospital, New York, NY.
Rakhi KalraDigital Health Innovations, New York Presbyterian Hospital, New York, NY.
Siqin YeDivision of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
Ian M KronishCenter for Behavioral Cardiovascular Health, Columbia University Irving Medical Center, New York, NY; Division of General Medicine, Department of Medicine, Columbia University Irving Medical Center, New York, NY. Electronic address: ik2293@cumc.columbia.edu.

Funding

Clinical and Translational Science AwardUL1TR001873 · NCATS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI REILLY, MUREDACH P · 2016 to 2025
$99.0M
Disparities in COVID Disease Severity and Outcomes in New York CityUL1TR002384 · NCATS · WEILL MEDICAL COLL OF CORNELL UNIV · PI JULIANNE L IMPERATO-MCGINLEY · 2017 to 2026
$86.2M
Implementing Remote Patient Monitoring to Improve Hypertension Control in a Primary Care NetworkR01HL152699 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KRONISH, IAN MATTHEW · 2021 to 2025
$3.5M
NCATS NIH HHS UL1 TR001873NCATS NIH HHS UL1 TR002384NHLBI NIH HHS R01 HL152699
6 · The paper itself

Abstract

backgroundHome blood pressure monitoring with clinical or technological support (Supported HBPM) is an evidence-based intervention recommended by national guidelines for improving hypertension (HTN) control. However, few healthcare systems have implemented Supported HBPM because it remains unclear how best to promote uptake among patients and clinicians, and the real-world effectiveness of Supported HBPM is unknown. The Monitor-BP Trial aims to determine the impact of implementing a flexible Supported HBPM program on practice-level HTN control and to evaluate the reach, adoption, maintenance, and cost-effectiveness of the program in a socioeconomically diverse primary care network.

methodsThe Monitor-BP Trial takes place in 15 primary care practices affiliated with two large academic medical centers in New York City. It is a hybrid 2 effectiveness-implementation cluster randomized pre-post trial testing early implementation of a Supported HBPM program (8 practices) versus usual care (7 practices). Adult patients with diagnosed HTN and their primary care clinicians are eligible for inclusion. The intervention consists of two program options: (1) MyCare Hypertension, a low resource intensity option in which patients use their own BP devices to track home BP in the online patient portal with automated triage support for extreme readings and portal-delivered educational modules, (2) RPM Hypertension, a high resource intensity option in which patients are loaned wireless BP devices that automatically transmit home BP data to the electronic health record (EHR) with telehealth navigator onboarding and nursing support to triage extreme readings. Both options include EHR-integrated ordering and home BP data visualization for clinicians. Key features of the implementation strategy include clinician education and training via presentations, clinician prompts and reminders via e-mails and mailed postcards, detailed instructional materials for patients and clinicians via websites, and at least monthly problem-solving meetings with clinical champions to iteratively tailor implementation to individual practices. The primary effectiveness outcome is practice-level pre- to post-implementation change in the mean 12-month change in office systolic BP among patients with uncontrolled office BP at baseline. The primary implementation outcomes are reach (uptake of the Supported HBPM program by patients) and adoption (uptake of the Supported HBPM program by clinicians). Secondary outcomes include estimating the short- and long-term cost-effectiveness of the program.

conclusionsThe Monitor-BP Trial tests a scalable approach to implementing telemonitoring-enabled Supported HBPM interventions into real-world clinical settings. Our findings have the potential to inform how health systems can shift the paradigm of BP assessments from the office to the home.

Indexed as

Blood Pressure Monitoring, AmbulatoryHypertensionPrimary Health CareCost-Benefit AnalysisFemaleHumansMaleMiddle AgedMulticenter Studies as TopicNew York CityRandomized Controlled Trials as TopicRemote Patient MonitoringTelemedicine

Identifiers

PMID40209840
PMCPMC12145245

What OpenQuestion holds

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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.