Evidence map›Paper›PMID 42715411›Full record

Observational studyJMIR formative research2026

Prompted Text-Based Vital Sign Recording Versus Unprompted Electronic Medical Record Entries in Patients With Advanced Heart Failure: Observational Study.

Jenny Wu, Julia Chen, Lillian Min, Brandy Paul, Jenna M Keedy, Chandy Ellimoottil

Abstract readObservational Study
In one paragraph

Observational study in JMIR formative research, 2026. 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

6 authors.

Jenny WuDepartment of Internal Medicine, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI, United States, 1 734-936-4000.ORCID http://orcid.org/0009-0008-0828-4139
Julia ChenDepartment of Internal Medicine, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI, United States, 1 734-936-4000.ORCID http://orcid.org/0000-0002-7035-9647
Lillian MinDepartment of Internal Medicine, University of Michigan, 1500 E Medical Center Dr, Ann Arbor, MI, United States, 1 734-936-4000.ORCID http://orcid.org/0000-0002-4149-5092
Brandy PaulVirtual Care Team, Michigan Medicine, Ann Arbor, MI, United States.ORCID http://orcid.org/0009-0005-7520-4192
Jenna M KeedyQuality Department, Michigan Medicine, Ann Arbor, MI, United States.ORCID http://orcid.org/0000-0001-7723-3185
Chandy EllimoottilInstitute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States.ORCID http://orcid.org/0000-0002-2862-9797

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Long-term remote patient monitoring of weight, pulse, and blood pressure has been shown to significantly reduce mortality and hospitalization rates among patients with heart failure. Despite its proven effectiveness, maintaining patient engagement in remote monitoring programs remains challenging. Objective: This study aimed to evaluate the impact of 2-way text-based communication on prompting patients to record key vital signs and to compare it with unprompted patient reporting through electronic medical records in terms of engagement and clinical outcomes. Methods: We analyzed data from patients participating in the University of Michigan Advanced Heart Failure Program who reported daily weight, blood pressure, and pulse using either the MiChart Patient Outreach Texting Application (MPOTA) or patient enrolled flowsheets (PEFs). The study's primary metric was the consistency of patient-reported vital signs, with secondary descriptive metrics including variations in hospitalization and emergency room visits pre-enrollment and postenrollment in the programs. Results: A total of 890 patients were included, with 301 enrolled in the MPOTA group and 589 in the PEF group. The engagement rate for the PEF group had a median of 2.29% (IQR 0%-23.93%). In contrast, the MPOTA group showed a significantly higher median engagement rate of 66.67% (IQR 30.67%-88.24%). There were no significant differences in hospitalization or emergency room visit rates across engagement categories (none, low, medium, and high) or between programs. Mean hospitalizations declined by 21% in the MPOTA group (from mean 0.53, SD 0.90 to mean 0.42, SD 0.88; Conclusions: Although MPOTA was associated with substantially higher patient engagement levels compared to unprompted patient reporting, neither demonstrated significant differences in hospitalization or emergency room visits across engagement levels or between programs. Small reductions in hospitalizations were observed, but these were significant only in PEF, not in MPOTA. Observed changes in utilization were exploratory, small in magnitude, and underpowered to detect clinically meaningful effects. These findings suggest that mobile text-based communication may be a useful tool for improving engagement in remote monitoring programs for patients with advanced heart failure; however, further research is needed to assess its impact on clinical outcomes.

Indexed as

Electronic Health RecordsHeart FailureText MessagingVital SignsAgedDigital HealthEmergency Room VisitsFemaleHospitalizationHumansMaleMichiganMiddle AgedRemote Patient Monitoringheart failure managementmobile text–based communicationpatient engagementremote patient monitoringtelehealth

Identifiers

PMID42715411
PMCPMC13557320

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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.