Evidence map›Paper›PMID 39833791›Full record

ArticleBMC health services research2025

Federally qualified health center patients' experiences with remote patient monitoring as part of telehealth services for self-measured blood pressure monitoring.

Natalia I Heredia, Maria E Fernandez, Ella R Garza, Jabria Pittman, Fernanda Velasco-Huerta, Tracy L Judd, Jocelyn Hunyadi, Elvis Longanga Diese, Deevakar Rogith, William B Perkison and 1 more

Abstract read
In one paragraph

Article in BMC health services research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Natalia I HerediaCenter for Health Promotion and Prevention Research, School of Public Health, University of Texas Health Science Center at Houston, 7000 Fannin, Houston, TX, 77030, USA. natalia.i.heredia@uth.tmc.edu.
Maria E FernandezCenter for Health Promotion and Prevention Research, School of Public Health, University of Texas Health Science Center at Houston, 7000 Fannin, Houston, TX, 77030, USA.
Ella R GarzaCenter for Health Promotion and Prevention Research, School of Public Health, University of Texas Health Science Center at Houston, 7000 Fannin, Houston, TX, 77030, USA.
Jabria PittmanCenter for Health Promotion and Prevention Research, School of Public Health, University of Texas Health Science Center at Houston, 7000 Fannin, Houston, TX, 77030, USA.
Fernanda Velasco-HuertaCenter for Health Promotion and Prevention Research, School of Public Health, University of Texas Health Science Center at Houston, 7000 Fannin, Houston, TX, 77030, USA.
Tracy L JuddCenter for Quality Health IT Improvement (CQHII), McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
Jocelyn HunyadiCenter for Spatial-Temporal Modeling of Applications in Population Sciences, School of Public Health, University of Texas Health Science Center at Houston, Houston, TX, USA.
Elvis Longanga DieseCenter for Health Promotion and Prevention Research, School of Public Health, University of Texas Health Science Center at Houston, 7000 Fannin, Houston, TX, 77030, USA.
Deevakar RogithCenter for Quality Health IT Improvement (CQHII), McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.
William B PerkisonCenter for Health Promotion and Prevention Research, School of Public Health, University of Texas Health Science Center at Houston, 7000 Fannin, Houston, TX, 77030, USA.
Susan H FentonCenter for Quality Health IT Improvement (CQHII), McWilliams School of Biomedical Informatics, University of Texas Health Science Center at Houston, Houston, TX, USA.

Funding

CDC HHS HHS000353700001
6 · The paper itself

Abstract

backgroundRemote patient monitoring (RPM) for hypertension management has become increasingly popular, demonstrating benefits for both clinics and patients. However, patient engagement in self-measured blood pressure (SMBP) monitoring remains low despite healthcare providers' efforts. This study aimed to assess adherence and acceptance of RPM for SMBP among Texas Federally Qualified Health Center patients.

methodsParticipants enrolled in the SMBP monitoring program were recruited at three health centers. Data was collected from patient health records, and a questionnaire assessed hypertension self-management, technology acceptance, intentions, and attitudes toward SMBP. Thematic analysis was conducted for open-ended responses that followed each item, and multivariate linear regression assessed associations between psychosocial factors and SMBP use.

resultsThe sample (n = 47) was 64% female, 89% Hispanic/Latino, and 75% uninsured. Participants used RPM for SMBP an average of 46 days and 72 times within the first 120 days (~ 4 months). Age and behavioral intention were significantly positively associated with more days of SMBP use. Three themes emerged from open-ended data: perceived ease of learning and using mobile patient portal for SMBP, perceived benefits of using mobile patient portal for SMBP, and intentions to continue using the mobile patient portal for SMBP.

conclusionsParticipants found RPM for SMBP acceptable and easy to use. Use varied over time, with intention to use RPM for SMBP and older age linked to more days of use. RPM can enhance patient experience by providing additional information to the provider, prompting self-management discussions, and empowering patients to better control their BP.

Indexed as

Blood Pressure Monitoring, AmbulatoryHypertensionTelemedicineAdultAgedFemaleHumansMaleMiddle AgedRemote Patient MonitoringSurveys and QuestionnairesTexasHypertensionPatient monitoringRemote patient monitoringSelf-measured blood pressureTelecareTelehealthTelemedicine

Identifiers

PMID39833791
PMCPMC11744832

What OpenQuestion 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 OpenQuestion graph.