Evidence map›Paper›PMID 40769201›Full record

ArticleJMIR formative research2025

Development of a Customizable Web-Based Dashboard for Remote Blood Pressure Monitoring: Feasibility and Usability Implementation Study.

Joshua Wollen, Thuy Nguyen, Charles Coton, Gina DeWildt, Gabretta Cooksey, Audrey Cohen, Nicholas Hoang, Munachi Okpala, Michael Gonzalez, Mengxi Wang and 6 more

Abstract read
In one paragraph

Article in JMIR formative research, 2025. 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

16 authors.

Joshua Wollen *Department of Pharmacy Practice and Translational Research, College of Pharmacy, University of Houston, Houston, TX, United States.ORCID 0000-0003-3944-4875
Thuy Nguyen *Department of Pharmacy, Texas Medical Center, Memorial Hermann-Texas Medical Center, Houston, TX, United States.ORCID 0009-0003-9481-4880
Charles CotonCoordinating Center for Clinical Trials, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID 0009-0009-5464-2838
Gina DeWildtCoordinating Center for Clinical Trials, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID 0009-0005-1955-8308
Gabretta CookseyDepartment of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin St, MSB 7.110, Houston, TX, 77030, United States, 1 7135006538.ORCID 0009-0004-6751-2761
Audrey CohenDepartment of Clinical and Health Informatics, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID 0000-0002-5513-831X
Nicholas HoangHealth Services Research, College of Medicine, Baylor University, Houston, TX, United States.ORCID 0009-0009-8143-3724
Munachi OkpalaDepartment of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin St, MSB 7.110, Houston, TX, 77030, United States, 1 7135006538.ORCID 0000-0002-8432-9449
Michael GonzalezCoordinating Center for Clinical Trials, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID 0000-0002-8565-4809
Mengxi WangCoordinating Center for Clinical Trials, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID 0000-0002-8528-5951
Chigozirim IzeoguDepartment of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin St, MSB 7.110, Houston, TX, 77030, United States, 1 7135006538.ORCID 0000-0002-9263-6801
Elmer BernstamDepartment of Clinical and Health Informatics, McWilliams School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID 0000-0001-7643-791X
Charles GreenDepartment of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin St, MSB 7.110, Houston, TX, 77030, United States, 1 7135006538.ORCID 0000-0001-9192-8215
Sean SavitzDepartment of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin St, MSB 7.110, Houston, TX, 77030, United States, 1 7135006538.ORCID 0000-0003-4637-1790
Jose-Miguel YamalCoordinating Center for Clinical Trials, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, United States.ORCID 0000-0003-2505-0090
Anjail SharriefDepartment of Neurology, McGovern Medical School, The University of Texas Health Science Center at Houston, 6431 Fannin St, MSB 7.110, Houston, TX, 77030, United States, 1 7135006538.ORCID 0000-0002-9814-6715

Funding

Video-based Intervention to Reduce Treatment and OUtcome Disparities in Adults Living with Stroke or Transient Ischemic Attack (VIRTUAL)R01MD016465 · NIMHD · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI SHARRIEF, ANJAIL Z · 2021 to 2025
$3.3M
NIMHD NIH HHS R01 MD016465
6 · The paper itself

Abstract

Background: Effective blood pressure (BP) management is essential for several disease states, including secondary stroke prevention. Remote BP monitoring used in combination with an electronic data capture (EDC) system offers potential for improved BP control for patients. While such systems currently exist, there are many patient-, provider-, and system-specific challenges these systems currently do not address. In addition, such systems are rarely described transparently and comprehensively in the literature with enough detail to be reproduced by other clinicians. Objective: This study aims to describe the development and design of a web-based EDC system tailored for remote BP monitoring and management to overcome common patient-, provider-, and system-specific challenges. Methods: The EDC system was developed for use in the Video-based Intervention to Reduce Treatment and Outcome Disparities in Adults living with Stroke (VIRTUAL) and transient ischemic attack clinical trial, a randomized study involving adult stroke survivors receiving care for secondary stroke prevention. The EDC system supports remote monitoring using a BP monitor, which was specifically and methodically chosen for its suitability to the population. The EDC system integrates the data from the remote monitors into a web-based application, facilitating real-time monitoring for health care team intervention. The system includes a BP dashboard displaying time-series data, visual alerts, and email notifications for out-of-range readings. Proxy measures assessed system effectiveness in addressing patient-, provider-, and system-specific needs. Results: Seventeen BP monitors were evaluated, and the BlipcareBlip BP800 was selected based on its cellular connectivity, ergonomic design, and application programming interface compatibility. The EDC system successfully linked patient data to the dashboard, enabling real-time visualization of BP trends and provider alerts. A total of 97% (184/190) of participants in the intervention arm engaged in BP monitoring, averaging 1.2 readings per day. Clinicians actively used the system, with mean monthly logins ranging from 19 to 44 per provider. Alerts were triggered for 69% (131/190) of participants, primarily for systolic BP abnormalities. Data transmission delays were minimal, with a median time of 1.4 minutes from data collection to dashboard entry. Outlier alerts were efficiently processed, with an average notification time of 17.9 hours. The system demonstrated high functionality in addressing patient-, provider-, and system-specific needs, supporting effective BP monitoring and intervention delivery. Conclusions: The VIRTUAL EDC system facilitates remote monitoring of BP in stroke survivors, offering a model for similar systems in clinical trials. Clinicians can analyze, track, and interpret monitored data in near real-time, remotely, which may enhance BP management approaches, particularly in communities with limited access to care. This approach has the potential to improve hypertension management for patients and clinicians when standard data transparency is insufficient, standard monitor features are incompatible with the user, or when integrating a commercial dashboard may threaten electronic health record security.

Indexed as

Blood Pressure DeterminationBlood Pressure Monitoring, AmbulatoryInternetAdultAgedBlood PressureFeasibility StudiesFemaleHumansMaleMiddle AgedStrokeTelemedicineblood pressurecustomizationdevelopmentelectronic data captureheartpatient managementremote monitoringstroketelehealthvideo basedweb based

Identifiers

PMID40769201
PMCPMC12327963

What Socratic holds

Textmetadata
LicenceCC BY
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.