Evidence map›Paper›PMID 41359921›Full record

ArticleJMIR cardio2025

Outcomes of Team-Based Digital Monitoring of Patients With Multiple Chronic Conditions: Semiparametric Event Study.

Ross Graham, Itzik Fadlon, Parag Agnihotri, Christopher A Longhurst, Ming Tai-Seale

Abstract read
In one paragraph

Article in JMIR cardio, 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. Review
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

5 authors.

Ross GrahamDepartment of Sociology, University of California San Diego, La Jolla, CA, United States.ORCID http://orcid.org/0000-0003-4578-7022
Itzik FadlonDepartment of Economics, University of California, San Diego, La Jolla, CA, United States.ORCID http://orcid.org/0000-0003-1679-6149
Parag AgnihotriDepartment of Medicine, University of California San Diego, La Jolla, CA, United States.ORCID http://orcid.org/0000-0002-6798-5671
Christopher A LonghurstDepartment of Pediatrics, University of California San Diego, La Jolla, CA, United States.ORCID http://orcid.org/0000-0003-4908-6856
Ming Tai-SealeDepartment of Bioinformatics, University of California San Diego Medical Center, La Jolla, CA, United States.ORCID http://orcid.org/0000-0001-9272-066X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Remote patient monitoring (RPM) has emerged as an effective strategy for controlling hypertension by enabling patients to collect and transmit blood pressure (BP) data outside the clinic and supporting proactive care team interventions. While its benefits for hypertension management are well established, less is known about its effectiveness in patients with multiple chronic conditions (MCC), who experience higher morbidity, mortality, and costs. Objective: This study aimed to evaluate the impact of an electronic health record (EHR)-integrated, team-based RPM program on patients with hypertension, alone or co-occurring with ischemic heart disease, type 2 diabetes, or both. This study aimed to determine whether referral to the program was associated with reductions in systolic blood pressure (SBP) across these patient groups. Methods: We analyzed EHR data from patients referred by their primary care physicians to the University of California San Diego Health's Digital Health Program between October 2020 and July 2022. Eligible patients had hypertension, either alone or accompanied by at least 1 coexisting condition, such as ischemic heart disease or type 2 diabetes. Participants received a Bluetooth-enabled BP cuff and ongoing support from a multidisciplinary team, including nurse care managers and a pharmacist. A semiparametric event study design was used to estimate changes in SBP over 24 months, comparing prereferral and postreferral outcomes. To understand the program's impact, outcomes were analyzed for the full cohort of all referred patients and then scaled to reflect the average change in SBP among the program participants. Results: Among patients who had been referred to the program, those with hypertension only experienced an average reduction of 9.70 (SE 0.80) mm Hg in SBP by the end of the analysis horizon of 1 year. Patients with hypertension and either diabetes or ischemic heart disease experienced a reduction of 6.61 (SE 1.12) mm Hg, and those with all 3 conditions experienced a reduction of 6.60 (SE 1.72) mm Hg. The average reductions in SBP among active participants were 16.83 mm Hg, 13.22 mm Hg, and 16.01 mm Hg, respectively. Conclusions: A team-based, EHR-integrated RPM program was associated with clinically meaningful SBP reductions among patients with MCC. The program leveraged existing EHR workflows for referral and monitoring and provided technical and clinical support to patients. These findings suggest that EHR-integrated RPM services can achieve substantial improvements in BP in high-risk populations. As reimbursement for RPM expands, such models represent a promising strategy for addressing hypertension and the disproportionate burden of MCC at the population level.

Indexed as

Blood PressureDiabetes Mellitus, Type 2HypertensionMultiple Chronic ConditionsPatient Care TeamAgedElectronic Health RecordsFemaleHumansMaleMiddle AgedMyocardial IschemiaTelemedicinedigital medicinehypertensionmultiple chronic conditionsremote patient monitoringtelemedicine

Identifiers

PMID41359921
PMCPMC12685231

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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.